Senior AI Product Engineer

• 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 Minimum Qualifications • Degree or equivalent • Right to work in the country of employment Integrity and Ethics All StarCompliance employees are expected to commit to a high standard of personal integrity and carry out their responsibilities in an ethical manner.