Top AI Engineer Jobs

Integrate AI capabilities into systems, optimize performance, manage cloud services, and deploy AI models while collaborating with cross-functional teams.

Design, build, deploy, and operate production-grade AI/ML and LLM systems (including RAG and agentic pipelines). Integrate AI capabilities with product workflows, run evaluation and monitoring, optimize model and system performance, and apply strong engineering practices (testing, CI/CD, versioning).

As an AI Applications and Data Science Engineer, you will develop AI applications, predictive models, NLP chatbots, and data automation solutions, enhancing user experiences and optimizing data processes.

Develop and integrate generative AI and LLM-based capabilities into mission-critical warfare systems. Use AI-augmented engineering tools across the software lifecycle, prototype agent frameworks, and mentor teams on secure AI development. Collaborate with cross-functional stakeholders to operationalize AI models, build NLP pipelines, and improve developer productivity.

Develop, debug, and maintain AI/ML software solutions; collaborate with engineers and leadership to design systems; build tools for large-scale data analysis; produce documentation and user support materials.

Design, prototype, and deploy AI-enabled solutions (particularly LLMs and generative AI) for missile defense workflows. Collaborate with engineering, security, and program teams to integrate AI into DevSecOps/CI/CD, ensure compliance with security frameworks, support adoption, and guide AI strategy and best practices in classified environments.

Design, prototype, and deploy AI-enabled solutions (particularly LLMs and generative AI) for missile defense. Integrate AI into workflows and CI/CD/DevSecOps pipelines, ensure security and compliance, collaborate across engineering, security, and program teams, and drive internal AI adoption and best practices.

Design, prototype, and deploy AI-enabled solutions (especially LLMs and generative AI) for missile defense. Integrate AI into workflows, collaborate with engineering/security teams, ensure compliance in classified environments, and support organizational AI adoption.

Lead design, build, and scaling of enterprise AI solutions on Azure AI. Optimize Copilot Studio agents, modernize generative experiences, implement advanced RAG with vector search, manage end-to-end MLOps/CI-CD, create infrastructure-as-code, and provide architectural leadership and documentation for operational handoff.

Design, train, and evaluate computer-vision perception models (anatomy, instruments, actions) for surgical video; develop temporal/video models and bench-mark SOTA; define perception I/O and move models from offline experiments to robust, real-time OR performance; establish continuous improvement loops, annotation pipelines, and partner cross-functionally to enable prototype-to-product deployment.

Design and build full-stack features on a TypeScript/Next.js front end and cloud backend, integrate LLMs and third-party APIs, deploy and maintain Azure cloud infrastructure, ensure secure handling of secrets and CI/CD promotion across environments, partner with security, and troubleshoot production issues in a fast-paced small-team environment.

Lead design and delivery of enterprise-scale data lineage and metadata platforms. Build cloud-native, event-driven backend services and streaming pipelines using Java/Python on GCP. Partner with architecture, governance, and product teams to improve metadata ingestion, lineage discovery, automation (including GenAI), observability, and operational reliability while mentoring engineers and championing CI/CD and secure practices.

The AI Product Engineer will design, build, and ship AI features for clean energy finance while collaborating with various stakeholders to improve transaction processes.

Manage and govern the Microsoft 365 AI and automation platform (Power Platform, Copilot Studio, Azure AI). Own architecture, environment strategy, DLP and connector governance, integration with Azure and enterprise systems, monitoring, cost control, security compliance, and a Power Platform & AI Center of Excellence while partnering across infrastructure, security, and business teams.

The Staff Software Engineer will architect and implement backend systems for LLM applications in healthcare, focusing on APIs, data pipelines, and compliance.

The Senior Full Stack Engineer will enhance customer onboarding and AI financial planning features by building robust systems and leading engineering best practices.

Seek a Senior Back End Engineer to develop AI-driven applications, mentor engineers, and solve complex engineering challenges while focusing on scalability and data integrations.

Build and maintain full‑stack AI applications using Python, React/Next.js and .NET. Develop Generative AI, LLM, agentic and RAG-based solutions, implement PEFT (LoRA/mLoRA), MLOps/LLMOps pipelines, deploy on Azure, ensure security/compliance, mentor junior developers, and support underwriting/claims/operations integrations.

Lead design, development, and deployment of AI-enabled full-stack web applications on AWS. Own frontend (React), backend (Java/Python), APIs, workflow orchestration, RDBMS, CI/CD, DevSecOps, accessibility, and data visualization. Implement AI features (search, chatbots, document processing), mentor engineers, conduct code reviews, and work within SAFe to deliver secure, scalable mission solutions.

Partner with attorneys to design, build, deploy, and maintain AI-enabled legal workflows (prompting, RAG, templates, evaluations). Provide training, change management, governance-aligned guardrails, monitor adoption and performance, and iterate on workflows with cross-functional teams.

Design and implement a virtual access layer to enable remote use of a physical AI lab, building scalable, secure infrastructure to process 100,000+ documents/day with LLMs, optimize GPU/LLM throughput, provide customizable interfaces, implement authentication/access controls, and lead projects from design to production.

Design, build, and test AI Copilot experiences for ArcGIS Pro. Fine-tune and train NLP/vision models, create training datasets, develop/maintain automated tests, troubleshoot production issues, and collaborate across product, design, and engineering teams while producing tutorials and documentation.

Hands-on founding engineer building a production Shopify app, storefront widget, video upload flow, and AI extraction pipeline. Ship, harden, and operate full-stack systems, ensure reliability and conversion-focused UX, and scale tooling for self-serve merchant onboarding.

Design, build, and operate scalable integrations and AI agents using Celigo integrator.io, LangChain/LangGraph and modern cloud data pipelines. Collaborate with business stakeholders to automate processes, ensure data quality and security, own integrations end-to-end, produce technical documentation, and support operational hand-offs.

Build and operate an on-prem AI platform (Model-as-a-Service) including RAG pipelines, vector DBs, MCP tooling, agent repositories, CI/CD integration, and guardrails within MRM. Optimize large on-prem GPU infrastructure and translate business use cases into scalable platform services.