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

Skills and Experience 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.