Senior AI Engineer

Must-haves: 6 8 years software engineering; 3+ years shipping production Gen AI agents, workflows, or apps (eval, failure handling, human review loop); hands-on AWS, Python, React, GitHub Actions, and Terraform - they have operated what they built, not only consumed a platform someone else ran; has shipped both the service and the interface a business user touches. Preferred: ML, fine-tuning, graph databases. Nice to have: PydanticAI, agent observability, AI Ops / LLMOps. Hands-on experience building and operating production workloads on AWS required. Cloud certification without production ownership is not sufficient. Hands-on experience with Python, React, GitHub Actions, and Terraform required, including ownership of CI/CD and infrastructure rather than editing templates. Experience embedding with business users or a vendor delivery team to co-develop, rather than receiving a completed specification, preferred. Experience in insurance, claims, healthcare, or another heavily regulated operational domain preferred. Skills & Knowledge

• Strong full-stack engineering skills in Python and React, with solid working knowledge of SQL, REST APIs, and service design
• Hands-on AWS: has built, deployed, and operated production services, including networking, identity, and operational concerns sufficient for a regulated environment
• Hands-on GitHub Actions and Terraform: owns pipelines and infrastructure as code, including review, drift, and recovery
• Production command of Generative AI agents, workflows, and applications - tool use, orchestration, evaluation, and human-in-the-loop patterns - sufficient to ship and run, not only prototype
• Ability to implement services in alignment with enterprise architecture, governance, PHI handling, and compliance requirements
• Ability to sit with examiners or operations staff and leave with scoped work; comfortable as the only engineer in that room
• Ability to work collaboratively in a fast-paced Transformation Office, including pairing with vendor engineers when required
• Strong mentoring, collaboration, and technical communication skills
• Experience with machine learning, model fine-tuning, and/or graph databases (e.g. Neo4j) preferred
• Experience with PydanticAI (or equivalent agent framework), agent observability, and AI Ops / LLMOps a plus
• Ability to meet or exceed Performance Competencies