Full-Stack AI Engineer

Key Responsibilities

• Maintain and support the application's OpenAI API integration layer — prompt flows, API calls, error handling, performance and cost hygiene.
• Support deployment and operation on AWS ECS with Terraform-managed infrastructure; execute environment promotions with the BA and QA.
• Maintain integrations with EDF (Enterprise Data Fabric), web sources, Dun & Bradstreet and Beroe; complete the in-progress Beroe connection.
• Fix defects surfaced in UAT/production; make bounded enhancements without opening new feature scope.
• Absorb knowledge transfer from the AI&D team and document the technical runbook for the future product team.

Must-Have

• Experience: 5 to 7years
• Data science / ML engineering foundation with strong Python; practical experience building on LLM APIs (OpenAI or equivalent).
• Production deployment fluency: AWS (ECS preferred), containers, CI/CD, Terraform/IaC awareness.
• Data integration experience (data lake / enterprise data platforms, third-party APIs).

Nice-to-Have

• Regulated-pharma environment exposure; agentic-AI orchestration patterns; procurement/market-intelligence data familiarity.