Senior AI Product Engineer

Role AtStarCompliance, we build software that supports critical compliance needs for global clients. AI is now a core capability within our platform, embedded directly into our products and services. We are seeking a Senior AI Engineer to design, build, and scale AI-powered features within the Star platform, with a focus onStarAssistand future AI-native capabilities. This is a hands‑on product engineering role. You will work within real systems, building production‑grade AI services, APIs, and workflows that integrate LLMs into our SaaS platform. Your focus is to turn AI into reliable, scalable product functionality. You will partner closely with Platform, Product Engineering, QA, and Architecture to deliver AI capabilities that are observable, testable, and embedded into the platform from day one. How We Think About AI AI is not an assistant. It is part of the engineering system. We expect engineers in this role to: Embed AI directly into development workflows, not use it as a separate tool Design repeatable, production‑grade AI workflows, not one‑off prompts Leverage agentic patterns such as multi‑step execution, tool chaining, and parallelization Apply AI across the lifecycle: coding, testing, review, and delivery Balance speed with control,operatingsafely within a regulated SaaS environment Deliver measurable improvements in throughput, quality, and developer experience Responsibilities Design and build AI‑powered services and APIs (FastAPI, Python) Implement structured outputs and validation (PydanticV2) Develop agent‑based and multi‑step workflows (e.g.PydanticAI 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 asDSPy(or similar) foroptimisationand evaluation Deploy andoperate 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 #J-18808-Ljbffr