Junior AI Engineer

Our client, a global leader in claims management and the largest third-party administrator (TPA) in the world, is actively looking for a Junior AI Engineer to join their team! This is a 100% remote opportunity however working hours will be CST. This is a contract-to-hire position with excellent potential for long-term growth! This is a greenfield opportunity to help a $21 billion organization build its enterprise AI platform and leverage Generative AI to improve customer experience and streamline claims and managed care operations. Working under a Principal AI Engineer, you’ll build and deploy production-ready AI agents, workflows, and applications while collaborating directly with end users to solve real business problems. This role is ideal for a developer who has already shipped a GenAI solution into production and is ready to grow into forward-deployed engineering work. This is not a research, prototype, or entry-level AI training role. Responsibilities • Design, build, and maintain production Generative AI agents, workflows, and applications. • Develop Python backend services and APIs, along with React interfaces that integrate AI into existing business workflows. • Deploy and operate applications on AWS using Terraform for infrastructure and GitHub Actions for CI/CD. • Implement testing, evaluation, monitoring, error handling, and human review workflows to ensure AI applications are reliable, secure, and production-ready. • Integrate AI services with enterprise systems while adhering to security, auditability, and PHI-handling requirements. • Work directly with examiners, nurse reviewers, and operations teams to understand workflows, gather feedback, and deliver practical AI solutions. • Collaborate with the Principal AI Engineer on code reviews, technical design, troubleshooting, and shared platform capabilities. Required Skills & Experience • Bachelor’s degree in Computer Science, Engineering, or a related quantitative discipline. • 2–4 years of professional software engineering experience. • Demonstrated experience personally deploying a GenAI agent, workflow, or application into production, including failure handling and a human review loop. Prototypes, demos, notebooks, and basic ChatGPT wrappers do not qualify. • Hands-on production experience with AWS, Python, React, GitHub Actions, and Terraform. • Strong understanding of REST APIs, SQL, Git, and software engineering fundamentals. • Understanding of Generative AI agents, tool use, prompting, and human-in-the-loop workflows. • Ability to collaborate with end users, work through ambiguity, and translate business needs into engineering solutions. Preferred Qualifications • Experience in insurance, claims, healthcare, or another regulated industry. • Experience with machine learning, model fine-tuning, or graph databases such as Neo4j. • Familiarity with PydanticAI or similar agent frameworks, agent observability, AIOps, or LLMOps.