Senior AI Product Engineer

Responsibilities

• Design and build AI-powered services and APIs (FastAPI, Python)


• Implement structured outputs and validation (Pydantic V2)


• Develop agent-based and multi-step workflows (e.g. Pydantic AI or similar)


• Build RAG-style solutions for contextual data retrieval


• Integrate AI services into .NET-based platform components


• Apply evaluation techniques (LLM-as-judge, precision/recall trade-offs)


• Implement monitoring, feedback loops, and model drift awareness


• Use tools such as DSPy (or similar) for optimisation and evaluation


• Deploy and operate services using Azure (OpenAI, Web Apps/Functions)


• Implement observability (Application Insights) and CI/CD (Azure DevOps)


• Contribute to infrastructure via Terraform


• Build high-quality, async Python services with strong testing (pytest)


• Collaborate with Product and Engineering to deliver AI-driven features


• Communicate progress, risks, and technical decisions clearly

• Core Engineering


• Strong software engineering background (Python and/or C#/.NET)


• Experience building APIs and distributed SaaS systems


• Strong understanding of system design and integration


• AI & ML


• Experience building production AI/LLM-powered applications


• Familiarity with Azure OpenAI (or similar)


• Understanding of RAG, NLP concepts, and evaluation techniques


• Experience with agent workflows or orchestration patterns


• Data & Backend


• Experience with ORMs (SQLAlchemy, Alembic, or similar)


• Strong API and data modelling skills


• Experience with async Python


• Cloud & DevOps


• Experience with Azure environments and CI/CD pipelines


• Familiarity with Terraform and observability tooling

• Degree or equivalent


• Right to work in the country of employment

All StarCompliance employees are expected to commit to a high standard of personal integrity and carry out their responsibilities in an ethical manner.

This listing is from ats_lever. View original listing ↗