AI Engineer Jobs

Department: Gen AI & LLM Team Location: Remote Job Type: Full Time About Us: Founded in 2016, ELSA harnesses the power of generative AI to improve English communication skills globally, with headquarters in San Francisco and offices in Lisbon, Tokyo, Jakarta, Singapore, and Vietnam. With over 50 million users and 1 billion hours of anonymized data, our AI-driven language learning platform delivers hyper-personalized learning paths for both businesses and individuals, transforming lives and organizations through effective spoken English. ELSA is backed by leading investors including Gradient VenturesGoogles AI fund, Monk`s Hill Ventures, and Global Ventures. At ELSA, our vision is to be the global leader in teaching real-time, conversational English, with the aim of helping over 1.5 billion language learners worldwide. We are here to celebrate and empower every individual on the global stage to build confidence, be understood, and share their story. Come join our very talented team of people working to make a difference with our proprietary speech recognition and AI-driven language learning technology! About the role: You will be joining the AI Research Team, a group of experts dedicated to advancing AI-driven language learning technologies. We are seeking an AI Engineer to drive the development and deployment of LLM-powered capabilities at ELSA. This role sits at the intersection of software engineering and machine learning, focusing on delivering high-quality AI systems that enhance ELSAs conversational tutoring experience. The ideal candidate is a pragmatic AI engineer and an agent of change, pushing the team towards a 3x acceleration in AI-driven development, evaluation, and deployment. You will work closely with researchers and engineers to bridge cutting-edge AI research with scalable, real-world applications. What will you do: Design, build, and deploy AI-powered agents that utilize LLMs for reasoning, retrieval, and action-based workflows. Implement intelligent evaluation and feedback loops to measure model performance and continuously improve AI-driven learning experiences. Develop scalable AI pipelines and AI Ops workflows to accelerate research-to-production cycles. Work with prompt engineering, fine-tuning, LLM orchestration frameworks, and model evaluation techniques to refine conversational experiences. Collaborate cross-functionally with researchers, engineers, and product teams to integrate AI seamlessly into ELSAs platform. What you will need: Hands-on experience with LLM orchestration frameworks (LangChain, LlamaIndex, OpenAI function calling, or similar). Experience building agent-based AI systems that integrate multiple tools, APIs, or retrieval methods. Strong experience deploying and iterating on AI applications, focusing on user impact rather than just model performance. Proficiency in NLP, LLMs, and generative AI frameworks, with experience in both open-source tools like PyTorch, TensorFlow, Hugging Face, and transformer-based models, as well as closed-source models and platforms such as OpenAI, Anthropic, Gemini, DeepSeek, LangChain, and LangSmith. Strong software engineering background, including experience with APIs, microservices, containerization (Docker, Kubernetes), and cloud services. Nice to haves: Experience with multi-step reasoning models and structured inference techniques (Chain-of-Thought, Tree-of-Thoughts, Graph-based reasoning). Hands-on experience with AI agent architectures, including self-improving, multi-agent collaboration tools like DSPy, CrewAI, or Microsoft Autogen. Familiarity with memory-augmented AI, knowledge distillation techniques, and continual learning approaches for evolving AI models over time. Strong knowledge of parameter-efficient fine-tuning (LoRA, QLoRA, PEFT) and model compression for efficient deployment. Understanding of integrating LLMs with external APIs and structured retrieval systems, improving AI accuracy with hybrid search techniques. Why will you love working here? Experience the true spirit of a fast-growing and well-funded Silicon Valley startup. Fun energetic team; international and collaborative culture. Opportunities to grow professionally and play a critical role in shaping the next stage of the companys growth. How to apply: If you are ready to take on this exciting challenge and drive growth for ELSA, please submit your resume and a cover letter detailing your relevant experience and why you are the ideal candidate for this role to nhi.nguyen@elsanow.io.

AI Engineer

Nityo Infotech Corporation

New Jersey, USA

Job Role: AI Engineer Job Location: Phoenix, AZ, Raleigh, NC, Richardson, TX, Somerset, NJ, New York, NY, Hardfort, CT, Plano, TX, Reston, VA, Tempe, AZ, Charlotte, NC Job Type: Full Time Required Skill and Experience: Experience in developing and applying generative AI models. Strong understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP) Proficiency in programming languages like Python and familiarity with deep learning frameworks like TensorFlow or PyTorch. Design, develop, and deploy generative AI models for various applications, such as text generation, image creation, and code synthesis (depending on the specific focus of the company). Fine-tune pre-trained LLMs for specific tasks and domains, ensuring optimal performance and alignment with business goals. Manage the entire AI development lifecycle, from data pre-processing and model training to evaluation, optimization, and deployment. Collaborate with data scientists, software engineers, and product managers to define project requirements, ensure technical feasibility, and integrate AI solutions seamlessly. Stay up to date on the latest advancements in generative AI research and actively contribute to the continuous improvement of our AI capabilities. Champion responsible AI development practices, focusing on bias mitigation, fairness, and explainability.

AI Engineer

Sciemo

New York CityUnited States, Raleigh-Durham, Atlanta, Philadelphia

about sciemo Sciemo builds AI for consumer goods: technology that helps businesses make faster, smarter, and more human decisions across the entire IBP process. From optimizing promotions to balancing demand and supply, Sciemo`s platform transforms messy, siloed data into measurable business impact. Its AI agents assist decision-makers in real-time, turning complexity into clarity. We are headquartered in New York City. OVERVIEW We are an industry-leading startup developing AI for consumer brands. Our solutions leverage machine learning, generative AI, agent-based systems, and graph technologies to get our customers to insights in seconds and to business impact in minutes using our products. We are looking for an AI Engineer to build and deploy the generative and agent-based systems at the core of our products, reporting to our Co-Founder & CAIO. ROLE As an AI Engineer, you will design, build, and ship the LLM and agent systems that power our products. You`ll own these systems end to end — from prompt and architecture design through evaluation, deployment, monitoring, and iteration in production. This is a senior, founding-level role. You will help define our approach to applied GenAI: how we structure agents, how we ground them in customer data, how we measure whether they`re actually working, and how we keep them reliable at scale. You`ll collaborate closely with data scientists, data engineers, product leads, and backend engineers to make sure these systems deliver measurable value in real customer environments. RESPONSIBILITIES Build and Deploy AI Systems • Architect, build, and deploy LLM- and agent-based products on cloud infrastructure (AWS or similar). • Design multi-agent systems, tool use, and orchestration patterns for complex business workflows. • Build retrieval and grounding pipelines over customer data, including graph-based and hybrid retrieval approaches. • Create automated pipelines for deployment, prompt/model versioning, and continuous performance monitoring. Evaluation & Reliability • Build rigorous evaluation frameworks — offline benchmarks, online metrics, and human-in-the-loop review — for systems whose outputs aren`t trivially gradeable. • Design for reliability and fault tolerance: fallbacks, guardrails, cost and latency control, and graceful degradation. • Continuously optimize inference workflows for efficiency, robustness, and performance in production. Applied Impact • Translate complex business problems into AI solutions, including scoping, experiment design, and roadmap planning. • Develop interpretable, modular, and scalable systems that deliver measurable business value. • Work directly with customers and stakeholders to ensure deployed systems achieve their intended impact. Innovation & Thought Leadership • Stay current with advancements in LLMs, agent architectures, retrieval, and graph AI. • Propose and prototype new approaches for integrating emerging techniques into production products. • Develop methods to quantify and communicate AI performance and business ROI. • Promote responsible, ethical, and impactful AI practices across the organization. ALL ABOUT YOU • Proven track record of launching LLM- or agent-based products into production — not just prototypes. • Strong production-grade Python; comfort with the modern GenAI tooling ecosystem. • Hands-on experience with agent frameworks, tool use, structured output, RAG, and prompt engineering at production scale. • Experience building evaluation systems for generative outputs, and using them to drive real improvement. • Familiarity with the broader ML stack (PyTorch, scikit-learn, SQL, Spark) and with fine-tuning or model adaptation where it`s warranted. • Experience designing and managing orchestration workflows and versioned pipelines (Airflow, ZenML, Kedro, dbt, etc.). • Strong problem-solving skills, adaptability, and a "hacker" mentality. • Excellent communication skills — able to work with both technical and non-technical stakeholders. • Demonstrated thought leadership and innovation in applied AI. BENEFITS & PERKS Check out our one pager ! LOCATION Hybrid role based in New York City; open to remote U.S. candidates willing to travel monthly to our NYC office. equal opportunity employer We are an equal opportunity employer and consider applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disability, veteran status, or any other characteristic protected by law. We actively encourage diversity, inclusion, and equitable hiring practices. If you require accommodations during the hiring process, please reach out to our recruitment team at join@sciemo.ai

AI Engineer

Infoyogi LLC

Santa Clara, CA

AI Workflow Engineer (Silicon Engineering Productivity) Location: Santa Carla, CA & Contract Overview We are seeking a contract engineer to accelerate development of AI-powered engineering productivity solutions for silicon IP and SoC development. The successful candidate will work directly with engineering leadership to design, implement, and deploy AI skills, agents, workflow automations, and knowledge systems that improve engineering efficiency across design, verification, integration, and p

AI Engineer

Apex Systems

Bellevue, WA

Job#: 3046714 Job Description: AI Software Engineer Location: United States (Remote) Work Type: Contract Role Overview As a Senior Software Engineer on the AI Engineering team, you will lead the design and implementation of production-grade tools and services that directly accelerate development velocity. This role involves taking cutting-edge AI capabilities and turning them into reliable, scalable products that developers across the organization use daily. Your technical leadership will s

AI Engineer

University Mechanical & Engineering Contractors, Inc.

United States

About Us A Fortune 500® company, EMCOR Group, Inc. (NYSE: EME) is a leader in mechanical and electrical construction, industrial and energy infrastructure, and building services. EMCOR companies plan, install, operate, maintain, and protect the sophisticated and dynamic systems that create facility environments—such as electrical, mechanical, lighting, air conditioning, heating, security, fire protection, and power generation systems—in virtually every sector of the economy and for a diverse range of businesses, organizations, and government. Job Summary The AI Engineer is responsible for designing, developing, implementing, and supporting practical artificial intelligence solutions that improve business processes, increase productivity, and enable responsible AI adoption across EMCOR. This hands-on role will build and integrate AI capabilities, including generative AI applications, automation workflows, retrieval-augmented generation solutions, AI agents, and model-enabled business processes. The AI Engineer will partner directly with EMCOR Operating Companies and corporate departments to identify use cases, develop reusable patterns, support implementation efforts, and help teams adopt AI capabilities in a secure, scalable, and supportable manner. This role will also work closely with the AI Security Engineer to ensure AI solutions follow approved security architecture, data protection requirements, governance processes, and responsible AI standards. This role reports to the VP of Information Technology and is fully remote. Essential Duties & Responsibilities The principal duties and responsibilities include, but are not limited to: Design, develop, test, deploy, and support AI-enabled solutions that address business needs across EMCOR and its Operating Companies Build practical AI capabilities including generative AI applications, AI agents, workflow automation, document intelligence, natural language interfaces, and retrieval-augmented generation solutions Partner with Operating Company leaders, corporate departments, and IT teams to identify high-value AI use cases, define requirements, prototype solutions, and support implementation Create reusable AI solution patterns, implementation guidance, technical documentation, and reference examples that Operating Companies can adopt and extend Integrate AI capabilities with approved enterprise platforms, applications, APIs, data sources, and automation tools Develop and maintain prompt engineering standards, evaluation approaches, testing routines, and quality controls for AI outputs Work with the AI Security Engineer to ensure AI solutions meet EMCOR security requirements, including data protection, access control, logging, monitoring, prompt and response filtering, and approved architecture patterns Ensure AI solution development follows EMCOR Secure Software Development Lifecycle guidelines, including security requirements, design reviews, secure coding practices, testing, validation, documentation, and release readiness Support AI governance processes by documenting solution purpose, data sources, risks, controls, expected outputs, limitations, and operational ownership Monitor implemented AI solutions for performance, reliability, usage, cost, quality, and business value; recommend improvements as needed Stay current on emerging AI technologies, enterprise AI platforms, development frameworks, and implementation best practices; translate relevant advancements into practical EMCOR use cases Provide training, guidance, and practical support to EMCOR employees on the effective and responsible use of approved AI tools, including appropriate use cases, prompting and development, productivity best practices, and data protection requirements. Qualifications Five years minimum experience in software engineering, application development, data engineering, automation, or related technology implementation roles Two years minimum hands-on experience developing or implementing AI, machine learning, generative AI, automation, or advanced analytics solutions Experience with one or more programming or scripting languages such as Python, JavaScript, TypeScript, PowerShell, or SQL Working knowledge of generative AI concepts, large language models, prompt engineering, retrieval-augmented generation, APIs, and AI solution evaluation Experience integrating applications, data sources, APIs, automation workflows, and cloud services Familiarity with Microsoft 365, Azure, Power Platform, Copilot Studio, GitHub, M365 Copilot and Agents or comparable enterprise AI and development platforms preferred Understanding of data protection, access control, Secure Software Development Lifecycle guidelines, secure development practices, and responsible AI principles Ability to translate business requirements into practical technical solutions and explain AI capabilities, limitations, and risks to technical and non-technical stakeholders Ability to effectively communicate and interact with personnel at all levels, including EMCOR executive management, operating company leadership, IT teams, Security, Legal, Risk, and other business users Must be capable of delivering a very high level of customer service #emcor Equal Opportunity Employer As a leading provider of mechanical and electrical construction, facilities services, and energy infrastructure, we offer employees a competitive salary and benefits package and we are always looking for individuals with the talent and skills required to contribute to our continued growth and success. Equal Opportunity Employer/Veterans/Disabled Affirmative Action Policy Please review our Affirmative Action Policy. Notice to Prospective Employees Notice to prospective employees: There have been fraudulent postings and emails regarding job openings. EMCOR Group and its companies list open positions here. Please check our available positions to confirm that a post or email is genuine. EMCOR Group and its companies do not reach out to individuals to help with marketing or other similar services. If an individual is contacted for services outside of EMCOR’s normal application process – it is probably fraudulent. Geographic Disclosure As a leading provider of mechanical and electrical construction, facilities services, and energy infrastructure, we offer employees a competitive salary and benefits package and we are always looking for individuals with the talent and skills required to contribute to our continued growth and success. Equal Opportunity Employer/Veterans/Disabled Compensation Range: $135,000-$168,000, depending on geography Other Compensation: the position is bonus eligible Benefits: We are committed to providing employees a comprehensive benefits package which includes medical, dental, and vision coverage, along with health savings and flexible spending accounts, life insurance, disability, a 401(k) Savings Plan, College Coach and employee assistance program. Originally posted on Himalayas

AI Engineer

Tandavix llc

Jersey City, NJ

Role: AI Engineer Location: New jersey $120k/annum Experience: 8+ Years Key Responsibilities Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask. Develop REST APIs and scalable enterprise solutions. Build AI-powered data analytics and self-service platforms. Optimize data pipelines for performance and scalability. Collaborate with Risk stakeholders to deliver AI-driven solutions. Provide technical leadership, architecture guidance, and mentor engineering teams. Requi

AI Engineer

eTeam, Inc.

Bolingbrook, IL

Job Title:AI Architect Location: Bolingbrook, IL (initial remote ok, preference is local profile) Duration:12 Month Must have skill:AI/ML Job Description: The AI Architect will define the target-state architecture for securing AI across Ulta Beauty spanning data, models, platforms, and applications. This role sets technical standards and reference architectures that guide how AI is adopted safely at scale and provides deep technical leadership to the AI Engineer team and cross-functional stak

AI Engineer

BlackLine

USA

Early-career AI Engineer building customer-facing generative AI and agentic solutions. Rapidly prototype and convert prototypes to production MVPs, implement LLM-based reasoning, RAG pipelines, and multi-agent orchestration. Run experiments and benchmarks, contribute to MLOps standards, model lifecycle, monitoring, security, and governance while collaborating with cross-functional teams and cloud-native AI stacks. Top Skills: Agentic Ai, AWS, Fine-Tuning, Generative Ai, GCP, Google Cloud Vertex Ai, Large Language Models (Llms), Llm Training, Mlops/Aimlops, Model Evaluation And Monitoring, Multi-Agent Orchestration, Prompt Engineering, Retrieval-Augmented Generation (Rag) Industry: Cloud , Fintech , Information Technology , Machine Learning , Software , App development , Generative AI

AI Engineer

Octus

New York, NY

As a Senior AI Engineer at Octus, you'll design and implement AI systems, build LLM-driven applications, optimize architectures, and ensure production reliability at scale, while collaborating cross-functionally to deliver effective solutions. Top Skills: AWS, Docker, Git, Kafka, Python, PyTorch, TensorFlow Industry: Fintech , News + Entertainment , Software , Database , Financial Services

AI Engineer

Zeus

United States

Job Summary This position will be responsible for designing, developing, and operationalizing enterprise AI solutions that enable intelligent automation, conversational AI, AI agents, and scalable AI-powered workflows across manufacturing and enterprise business functions. This role focuses on transforming AI concepts into production-ready systems by integrating Large Language Models (LLMs), AI agents, enterprise data platforms, APIs, orchestration frameworks, and business applications. The AI Engineer will work closely with data scientists, data engineering, enterprise architecture, manufacturing teams, and business stakeholders to deploy scalable AI capabilities aligned with Zeus’s enterprise AI strategy. The ideal candidate possesses strong software engineering and AI integration experience, including hands-on expertise with AI orchestration frameworks, APIs, vector search, retrieval-augmented generation (RAG), and enterprise system integration. This individual will play a critical role in establishing enterprise AI standards, reusable AI patterns, and operational AI platforms that support future AI scale across the organization. Originally posted on Himalayas

AI Engineer

Standard Template Labs

New York, NY

The AI/ML Engineer will design, build, and deploy machine learning systems, optimize workloads, and ensure scalability and compliance of the ITMS platform. Top Skills: AWS, Azure, Datadog, Docker, GCP, Go, Kubernetes, Python, Terraform Industry: Artificial Intelligence , Information Technology , Software

AI Engineer

Baseten

San Francisco, CA

Build and ship agentic AI product experiences, internal automation, and reliable production AI systems. Partner with research engineers to turn internal workflows into customer-facing features, designing harnesses, execution flows, guardrails, and evaluations. Work end to end across APIs, backend systems, agent orchestration, and frontend interfaces. Identify manual processes suitable for AI automation, resolve customer issues, and operate autonomously in a fast-moving environment. Top Skills: Claude Code, Codex, Langchain, Lora, Mcp, Opencode, Python Industry: Software

AI Engineer

Apex Systems

San Francisco, CA

Job#: 3048800 Job Description: AI Engineer Location: San Francisco, California (Onsite) Overview We are seeking an experienced AI Agentic Developer to help build and scale next-generation AI-powered applications. This role is responsible for designing, developing, deploying, and maintaining intelligent systems that leverage large language models (LLMs), agentic workflows, and modern cloud-native technologies. The ideal candidate combines strong full-stack engineering expertise with hands-on experience developing production-grade generative AI solutions. Key Responsibilities Design, develop, deploy, and maintain AI-powered applications using Python and FastAPI backends, React and TypeScript frontends, and cloud-based AI services. Own assigned AI systems end-to-end, including architecture, development, deployment, operational readiness, production support, and cost optimization. Implement advanced GenAI patterns, including prompt engineering, Retrieval-Augmented Generation (RAG), multi-agent architectures, and workflow orchestration. Lead by example in the adoption of AI-augmented software development practices, utilizing AI coding assistants. Partner with architects, engineers, and product teams to define technical solutions. Provide technical mentorship and guidance to team members on agentic development practices, AI tooling, and prompt engineering techniques. Build and maintain observability solutions for AI systems, including tracing, token usage tracking, cost management, and performance monitoring. Perform coding, testing, troubleshooting, and implementation of software enhancements across the full stack. Drive delivery of AI initiatives while managing multiple priorities and competing demands. Support CI/CD processes and deployment activities, including occasional off-hours deployment support as needed. Required Qualifications Education: Bachelor`s or master`s degree in Computer Science, AI/ML, Information Technology, or equivalent experience. Experience: 5+ years of software engineering experience with at least 2+ years focused on AI/ML or GenAI applications. Proven track record of delivering production AI systems with end-to-end ownership. Hands-on experience developing production-grade Generative AI applications. Technical Skills: Strong understanding of LLM architectures, prompt engineering, agentic workflows, RAG frameworks, and AI orchestration patterns. Experience with AI platforms and models (e.g., Google Vertex AI, Gemini, Anthropic Claude, OpenAI models). Expert-level proficiency with AI coding assistants (e.g., GitHub Copilot, Claude Code, Cursor). Familiarity with LLM observability and tracing solutions (e.g., LangFuse, LangSmith). Strong proficiency in Python, FastAPI, async programming, Pydantic, and SQLAlchemy ORM. Experience with React, TypeScript, and state management frameworks (e.g., Zustand). Experience with PostgreSQL, MySQL, query optimization, and database migrations. Strong understanding of Docker, Kubernetes, container orchestration, and CI/CD pipelines. Experience with cloud platforms (e.g., Google Cloud Platform, Cloud Run, BigQuery). Experience implementing OAuth 2.0, JWT authentication, and Role-Based Access Control (RBAC). Preferred Qualifications Experience building enterprise-scale AI platforms or internal developer tools. Experience supporting AI applications in production environments. Familiarity with AI governance, model evaluation, and responsible AI practices. Ability to mentor engineers and influence technical direction within a team. Strong communication and stakeholder management skills. Experience with Agile methodology and tools (Jira, Confluence). Work experience in the Retail industry is a plus. Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our `Welcome Packet` as well, which an Everforth Apex team member can provide. Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered. UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.

AI Engineer

Akshaya Inc

San Mateo, CA

AI Engineer RequirementLocation:San Mateo, CA Hybrid Duration:Long-term Contract Client:Corbo AIMust-Have SkillsAI/ML EngineeringexperienceStrong hands-onPythondevelopmentExperience working withLLMs (Large Language Models)Experience withGenerative AIExperience withopen-source LLMs / foundation modelsStrong experience withAWSHands-on experience buildingRAG (Retrieval-Augmented Generation)solutionsExperience withGraph technologies / Knowledge GraphsExperience integrating LLMs with enterprise dat

AI Engineer

Parsons Corporation

Huntsville, AL

Provide SETA support to government teams building and evaluating AI-enabled applications. Advise on AI design, prototypes, integration, and technical risk. Assess LLMs, RAG, agentic workflows, orchestration frameworks, and evaluation harnesses. Review architectures, recommend engineering tradeoffs, develop prototypes and guidance, and support test and evaluation. Collaborate with platform engineers, product leads, and mission users to ensure operational relevance and maintain current knowledge of emerging AI tools and practices. Top Skills: Agentic Workflows, APIs, Evaluation Harnesses, Llms, Orchestration Frameworks, Prompt Engineering, Retrieval-Augmented Generation (Rag) Industry: Information Technology , Security , Cybersecurity

AI Engineer

Unlearn

San Francisco

Our Mission and Vision Unlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed. We are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change. We believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development. About Our Team We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits: Unlearners are ambitious ; we aren’t intimidated by big, challenging goals. Unlearners are disciplined experimenters ; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly. Unlearners are gritty ; we never give up, setbacks just make us try harder. Unlearners are receptive to new ideas ; in fact, we hate being stuck with the status quo Unlearners are storytellers ; sharing information with each other and with the world is super important, too important to be boring. And, last but not least, Unlearners are team-oriented ; we put the mission first, the company second, the team third, and individuals last. Headquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024. If our purpose and culture resonate with you, we invite you to apply. AI Engineer. Our Science organization leads Unlearn’s efforts to build new capabilities across machine learning, statistics, and AI tools that help our teams create and deliver digital twin solutions to customers. This first-of-its-kind role at Unlearn will be responsible for scaling the use of agents for core business problems and deliver impact in efficiency and extensibility. Successful AI Engineers at Unlearn will be entrepreneurial in their approach; feeling a strong sense of end-to-end ownership of their mission, they collaborate heavily and investigate broadly to find the right tools and techniques to help their teams succeed. Responsibilities include: Build AI agents, skills, and tools that are core components of our workflows to create and deliver digital twins to customers Build infrastructure, harnessing, and governance systems to manage agentic workflows in line with regulatory and compliance requirements Collaborate with scientists across research, development, and delivery teams to define and build AI-centric solutions Work across teams to gain user feedback and increase adoption of new tools Clearly communicate capabilities and use to internal and external stakeholders Stay up to date with developments in AI tooling to inform Unlearn’s work Minimum requirements: B.S. in computer science or engineering, physics, mathematics, or a related field. Prior experience working with healthcare or clinical machine learning applications. 2+ years of experience developing AI skills, agents, and tools and applying them to solve real-world problems. Experience with AI systems, from infrastructure through agent creation and use. Experience with AWS cloud computing services. Evidence of successful execution of AI projects in an industry setting. Benefits & Perks The following benefits and perks are for full time roles only. Meaningful equity participation 100% company-covered medical, dental, & vision insurance plans 401k plan with matching Flexible PTO plus company holidays Annual company-wide break December 24 through January 1 Commuter benefits Paid Parental Leave Unlearn is an equal opportunity employer. At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.

AI Engineer

Dura Digital

Remote

About Dura Digital Dura Digital is a global digital transformation and consulting company that helps organizations turn emerging technologies into practical business outcomes. We bring together strategy, human-centered design, engineering, and AI expertise to create solutions that improve operations, customer experiences, and organizational performance. As a Dura Digital consultant, you will represent our commitment to thoughtful innovation, strong client partnership, and high-quality delivery while working closely with the client’s leadership and delivery teams. About the role We're hiring an AI Engineer to design, build, and ship AI-powered features that go into production and stay there. This is a hands-on engineering role, not a research role. You'll work across the full path from problem framing to deployment: turning an ambiguous business need into a working system, choosing the right model and retrieval approach, building the evaluation harness that proves it works, and standing behind it once real users depend on it. You'll partner closely with product, design, data, and platform engineers, and depending on the engagement, directly with client stakeholders who are new to AI and need a clear-eyed guide on what's realistic. What you'll do Build and deploy production AI features: LLM-backed workflows, retrieval-augmented generation, agentic and tool-using systems, classification and extraction pipelines, and traditional ML models where they're the better fit. Own the data path behind those features: ingestion, chunking, embedding, indexing, and retrieval quality, and improve it based on measured outcomes rather than intuition. Design evaluation before you ship. Define what "good" means for each use case, build offline eval sets and online feedback loops, and track regressions as prompts, models, and data change. Integrate AI capabilities into existing applications and services through well-designed APIs, with attention to latency, cost per request, failure modes, and graceful degradation. Instrument and monitor deployed systems for quality drift, hallucination rates, token spend, and abuse, and act on what you see. Apply responsible-AI practices in day-to-day work: data privacy and residency, PII handling, prompt injection and data exfiltration risks, access control, and clear documentation of model limitations. Prototype quickly to reduce uncertainty, then make a deliberate call on what deserves to be hardened and what should be thrown away. Contribute to internal standards, reusable components, reference architectures, and patterns other teams can adopt. Explain technical tradeoffs to non-technical audiences, including client stakeholders and executives, without overselling what the technology can do. What you'll bring 3+ years of professional software engineering experience, including 1+ years building with LLMs or ML systems in production. Strong Python. Working proficiency in at least one of TypeScript/JavaScript, C#, Java, or Go for service and application integration. Demonstrated experience shipping an AI feature end to end, you can walk us through what you built, how you evaluated it, what broke, and what you changed. Practical command of the modern LLM toolkit: prompt design, structured output, function/tool calling, context management, and at least one orchestration framework or a well-reasoned argument for building without one. Experience with retrieval systems and vector search (e.g., pgvector, Azure AI Search, Pinecone, Elasticsearch, or similar), including how to diagnose bad retrieval. Cloud deployment experience on [Azure / AWS / GCP], plus containers, CI/CD, and infrastructure-as-code fundamentals. Solid data engineering instincts: SQL, working with messy real-world data, and building pipelines that don't silently fail. Clear written and verbal communication, and comfort operating with incomplete requirements. Nice to have Consulting, agency, or client-facing delivery experience. Fine-tuning, distillation, or parameter-efficient adaptation of open-weight models, and a sense for when it's worth it versus prompting or retrieval. Experience with agent frameworks, MCP, or multi-step tool-using systems in production. MLOps tooling (experiment tracking, model registries, feature stores) and observability platforms for LLM applications. Background in a regulated domain such as healthcare, financial services, insurance, or the public sector. Speech, vision, or document-understanding work (OCR, layout parsing, multimodal models). Open-source contributions, technical writing, or conference speaking. Originally posted on Himalayas

Job Title: AI Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental US * * * The Opportunity: Are you ready to revolutionize financial auditability and transportation logistics? We're seeking a successful, experienced Artificial Intelligence Software Engineer SME to join our team in implementing a cutting-edge software system that will transform how USTRANSCOM manages finances and supply chains. If you're passionate about leveraging technology to streamline operations and enhance transparency, this is your chance to make a significant impact. Join us in building the future of financial and logistical management! Responsibilities: Design, develop, and implement AI solutions in production environments Lead AI pilot programs from conception to execution Collaborate with cross-functional teams to integrate AI capabilities into existing systems Provide technical expertise and guidance on AI technologies and best practices Contribute to full-stack development projects Optimize AI models for performance and scalability Qualifications: Required: Demonstrated experience implementing AI solutions in live production systems Strong proficiency in multiple programming languages (e.g., Python, Java, C++, JavaScript) Expertise in cloud services, particularly Azure and AWS Extensive knowledge of API development and management understanding of both SQL and NoSQL databases Experience with ERP systems, specifically SAP Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) Knowledge of natural language processing (NLP) and computer vision Familiarity with DevOps practices and tools • Experience with agile development methodologies 10+ years of experience in a lead Software Development related role, preferably in a DoD or government environment and 5+ years of experience in software engineering with a focus on AI/ML Masters Degree in Computer Science, Engineering, or related field. Desired: Strong passion for AI technologies and staying current with industry trends Excellent communication skills, able to explain complex technical concepts to non-technical stakeholders Proven ability to plan, execute, and manage pilot programs Self-motivated with the ability to work independently and as part of a team Adaptable and able to thrive in a fast-paced, dynamic environment - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $82,100-$172,400 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

AI Engineer

Micro1

Remote

Job Title: AI Engineer Job Type: Contractor (~15 hrs a week) Location: Remote Schedule: Flexible, you pick the hours and days (including weekends if desired) Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. As an expert you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools. Tasks may involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers. You will design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability. Required Skills and Qualifications: Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust. Deep understanding of algorithms, data structures, and performance tuning. Demonstrated experience in debugging complex software issues and delivering maintainable solutions. Strong background in feature development and codebase refactoring. Proven ability to optimize software for performance and scalability. Exceptional written and verbal communication skills, with a keen attention to detail. Track record of success in collaborative, cross-functional teams, ideally in remote settings. Preferred Qualifications: Previous experience working on large-scale, distributed codebases. Familiarity with modern AI or machine learning systems is a plus, though not required. Background in participating in rigorous code reviews and contributing to the development of software best practices. Process: Apply to the role, filling out the screening questions Complete AI Interview (approx. 30 minutes) Technical Assessment (Tentative) Hiring Manager review Compensation Structure Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week. Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding. Originally posted on Himalayas