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For Companies At a Glance
- Tasks: Design and build AI-powered features for our innovative compliance software.
- Company: Join StarCompliance, a leader in compliance technology with a focus on AI integration.
- 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 embedding AI into critical systems that support global clients.
- Qualifications: Strong background in software engineering, especially with Python and APIs.
The predicted salary is between 70000 - 90000 ÂŁ 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.
- 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. PydanticAI 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
- 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.
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 employer: StarCompliance, Inc.
Contact Detail:
StarCompliance, Inc. 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 showcasing your AI projects, especially those that align with what AtStarCompliance is doing. This gives you a chance to demonstrate your hands-on experience and creativity.
✨Tip Number 3
Prepare for interviews by brushing up on relevant technologies and concepts. Be ready to discuss how you've embedded AI into workflows and tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the AtStarCompliance 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 experience mentioned in the job description. Highlight your software engineering background, especially with Python and C#/.NET, and any relevant AI projects you've worked on. We want to see how you can bring your unique experience 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 you can contribute to our platform. Be sure to mention specific projects or experiences that align with our focus on building production-grade AI services.
Showcase Your Projects: If you've built any APIs or AI-powered applications, make sure to include them in your application. We love seeing real examples of your work! Links to GitHub repositories or live demos can really help us understand your capabilities.
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 to do!
How to prepare for a job interview at StarCompliance, Inc.
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts, especially those relevant to the job. Understand how to embed AI into development workflows and be ready to discuss your experience with building production-grade AI applications.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Python and/or C#/.NET. Bring examples of APIs you've built or distributed SaaS systems you've worked on. Highlight your experience with Azure and CI/CD pipelines, as these are crucial for the role.
✨Prepare for System Design Questions
Expect questions about system design and integration. Think through how you would approach designing scalable AI services and workflows. Be ready to explain your thought process and the trade-offs you would consider.
✨Communicate Clearly
During the interview, make sure to communicate your progress, risks, and technical decisions clearly. This role requires collaboration with various teams, so showing that you can articulate complex ideas simply will set you apart.