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 toolDesign repeatable, production‑grade AI workflows, not one‑off promptsLeverage agentic patterns such as multi‑step execution, tool chaining, and parallelizationApply AI across the lifecycle: coding, testing, review, and deliveryBalance speed with control,operatingsafely within a regulated SaaS environmentDeliver measurable improvements in throughput, quality, and developer experienceResponsibilities 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 retrievalIntegrate AI services into .NET‑based platform componentsApply evaluation techniques (LLM‑as‑judge, precision/recall trade‑offs)Implement monitoring, feedback loops, and model drift awarenessUse tools such asDSPy(or similar) foroptimisationand evaluationDeploy andoperate services using Azure (OpenAI, Web Apps/Functions)Implement observability (Application Insights) and CI/CD (Azure DevOps)Contribute to infrastructure via TerraformBuild high‑quality, async Python services with strong testing (pytest)Collaborate with Product and Engineering to deliver AI‑driven featuresCommunicate progress, risks, and technical decisions clearlySkills and Experience Core Engineering Strong software engineering background (Python and/or C#/.NET)Experience building APIs and distributed SaaS systemsStrong understanding of system design and integrationAI & ML Experience building production AI/LLM‑powered applicationsFamiliarity with Azure OpenAI (or similar)Understanding of RAG, NLP concepts, and evaluation techniquesExperience with agent workflows or orchestration patternsData & Backend Experience with ORMs (SQLAlchemy, Alembic, or similar)Strong API and data modelling skillsExperience with async PythonCloud & DevOps Experience with Azure environments and CI/CD pipelinesFamiliarity with Terraform and observability toolingMinimum Qualifications Degree or equivalentRight to work in the country of employment#J-18808-Ljbffr