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- 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 innovation.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for remote work.
- Other info: Collaborative environment with excellent career growth and learning opportunities.
- Why this job: Make a real impact by integrating AI into essential products and services.
- Qualifications: Strong background in software engineering, particularly with Python or C#/.NET.
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
- 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
- Experience with ORMs (SQLAlchemy, Alembic, or similar)
- Strong API and data modelling skills
- Experience with async Python
- 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
Senior AI Product Engineer employer: StarCompliance, LLC
Contact Detail:
StarCompliance, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Product Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects and contributions. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s products. Be ready to discuss how you can integrate AI into their existing systems and improve functionality.
✨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 are 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 reflects the skills and experiences that match 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 aligns with our mission at StarCompliance. Be genuine and let us know what excites you about this role.
Showcase Your Projects: If you've built any AI-powered applications or services, make sure to mention them in your application. We love seeing real-world examples of your work, especially if they demonstrate your ability to design and implement scalable solutions.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at StarCompliance, LLC
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML concepts, especially those mentioned in the job description. Be ready to discuss how you've built production-grade AI applications and your experience with tools like Azure OpenAI. This will show that you're not just familiar with the theory but have practical experience too.
✨Showcase Your Engineering Skills
Prepare to talk about your software engineering background, particularly in Python and C#. Have examples ready that demonstrate your ability to design and build APIs and distributed SaaS systems. Highlight any projects where you’ve integrated AI into workflows, as this aligns perfectly with what they’re looking for.
✨Understand Their Workflow
Familiarise yourself with the specific workflows and methodologies they use, such as agent-based patterns and multi-step execution. Be prepared to discuss how you would embed AI directly into development processes rather than treating it as a separate tool. This shows you understand their approach and can contribute from day one.
✨Communicate Clearly
During the interview, make sure to communicate your progress, risks, and technical decisions clearly. Practice explaining complex technical concepts in simple terms, as this will demonstrate your ability to collaborate effectively with cross-functional teams, which is crucial for this role.