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For Companies At a Glance
- Tasks: Design and build AI-powered features for a cutting-edge compliance platform.
- Company: Join StarCompliance, a leader in compliance software with a focus on AI innovation.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to integrity and ethical practices.
- Why this job: Make a real impact by integrating AI into essential compliance solutions.
- 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
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
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.
Senior AI Product Engineer in York employer: StarCompliance
Contact Detail:
StarCompliance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Product Engineer in York
✨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 yet.
✨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 real problems using AI in a SaaS environment.
✨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, we love seeing candidates who take that extra step.
We think you need these skills to ace Senior AI Product Engineer in York
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior AI Product Engineer role. Highlight your experience with Python, APIs, and any AI/ML projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for StarCompliance. Be sure to mention specific projects or achievements that demonstrate your expertise.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing real-world applications of your skills, especially those involving AI and SaaS platforms!
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 you’re considered for the role. Plus, it shows us you’re genuinely interested in 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 how you can apply agent workflows or orchestration patterns in real-world scenarios.
✨Showcase Your Engineering Skills
Prepare to demonstrate your strong software engineering background, particularly in Python and .NET. Have examples ready that highlight your experience with building APIs and distributed SaaS systems, as well as your understanding of system design and integration.
✨Get Familiar with Azure
Since the role involves deploying services using Azure, make sure you're comfortable discussing Azure OpenAI, CI/CD pipelines, and observability tooling. Being able to talk about your experience with these tools will show that you're ready to hit the ground running.
✨Communicate Clearly
During the interview, focus on communicating your progress, risks, and technical decisions clearly. This is crucial for collaborating with Product and Engineering teams. Practise explaining complex technical concepts in a straightforward way to ensure everyone is on the same page.