Senior AI Product Engineer

Role 

At StarCompliance, 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 on StarAssist and 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, operating safely within a regulated SaaS environment 

• Deliver measurable improvements in throughput, quality, and developer 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