At a Glance
- Tasks: Design and build AI-powered features for a cutting-edge compliance platform.
- Company: Join StarCompliance, a leader in innovative compliance software solutions.
- Benefits: Enjoy competitive salary, health benefits, remote work options, and growth opportunities.
- Other info: Collaborative environment with a focus on ethical practices and career advancement.
- Why this job: Make a real impact by integrating AI into essential services for global clients.
- Qualifications: Strong background in software engineering, particularly with Python and APIs.
The predicted salary is between 60000 - 80000 £ per year.
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
- 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
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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analysing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Senior AI Product Engineer employer: StarCompliance
StarCompliance is an exceptional employer that prioritises employee growth and collaboration in a dynamic work environment. With a strong focus on innovation and reliability, we offer our Site Reliability Engineers the opportunity to work with cutting-edge technologies while fostering a culture of inclusivity and support. Our UK-based team enjoys flexible working arrangements, comprehensive benefits, and a commitment to professional development, making it a rewarding place to advance your career in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Product Engineer
✨Tip Number 1
Get your networking game on! Connect with folks in the industry, especially those at StarCompliance. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to AI and SaaS, make sure to highlight them. Real-world examples of your work can really set you apart.
✨Tip Number 3
Prepare for the interview like it’s a coding challenge! Brush up on your Python and API knowledge, and be ready to discuss how you’d tackle building AI features. We love seeing problem-solving in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior AI Product Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior AI Product Engineer. Highlight your experience with Python, APIs, and any AI/ML projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how you envision contributing to our platform. Be specific about your past experiences and how they relate to the responsibilities outlined in the job description.
Showcase Your Projects:If you've built any AI-powered applications or services, make sure to mention them! Include links to your GitHub or portfolio. We love seeing real examples of your work and how you approach problem-solving.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures it gets into the right hands. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at StarCompliance
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML concepts, especially those relevant to the role. Be ready to discuss how you've built production-grade AI applications in the past, and be prepared to explain your understanding of RAG, NLP, and evaluation techniques.
✨Showcase Your Engineering Skills
Since this role requires a strong software engineering background, be ready to talk about your experience with Python and C#/NET. Bring examples of APIs and distributed SaaS systems you've worked on, and highlight your system design and integration skills.
✨Demonstrate Collaboration
This position involves working closely with various teams like Product Engineering and QA. Share specific examples of how you've collaborated in the past to deliver AI-driven features, and emphasise your communication skills when discussing progress and technical decisions.
✨Prepare for Technical Questions
Expect to face technical questions related to building AI services, deploying on Azure, and implementing CI/CD pipelines. Brush up on tools like FastAPI, Pydantic, and Terraform, and be ready to discuss how you've used them in real-world scenarios.
