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# Senior AI Engineer

- **Company:** Stellent IT LLC
- **Location:** Fort Worth, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Continuous Integration, Github, Graph Database, Python (Programming Language), Machine Learning, Neo4j, Performance Tuning, Standard Sql, Service Design, Software Engineering, ReactJS, Large Language Models, Generative AI, PydanticAI Framework, Machine Learning Operations, Observability for Autonomous Agents, Restful APIs, Terraform, AIOps, Human in the Loop
- **Published:** October 20, 2026
- **Apply:** https://www.careerjet.com/jobad/us567eeb62ff7a35353685a54d1fb35346

## About the Role

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