At a Glance
- Tasks: Design and build AI-powered features for a cutting-edge compliance platform.
- Company: Join StarCompliance, a leader in innovative software solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethical practices and integrity.
- Why this job: Make a real impact by embedding AI into essential compliance tools.
- Qualifications: Strong background in software engineering and experience with AI applications.
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.
- 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
- 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.
AI/ML Engineer employer: StarCompliance
At StarCompliance, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. As an AI/ML Engineer, you will have the opportunity to work with cutting-edge technology in a supportive environment that prioritises employee growth and development. Our commitment to integrity and ethics ensures that you will be part of a team dedicated to delivering impactful solutions for our global clients.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space, especially those at StarCompliance. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions. This gives you a chance to demonstrate your hands-on experience and creativity.
✨Tip Number 3
Prepare for interviews by brushing up on relevant tech and concepts. Be ready to discuss how you've embedded AI into workflows and tackled challenges in past projects.
✨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 the team.
We think you need these skills to ace AI/ML Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with AI, Python, and building APIs, as these are key for the role. We want to see how you can contribute to our mission!
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 great fit for the Senior AI Engineer position. Let us know what excites you about working at StarCompliance.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we love seeing practical examples of your work with AI and ML!
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 keen on joining our team!
How to prepare for a job interview at StarCompliance
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI and ML concepts, especially those relevant to production-grade applications. Brush up on your knowledge of LLMs, RAG, and agent workflows, as these will likely come up during your interview.
✨Showcase Your Coding Skills
Be prepared to demonstrate your coding abilities, particularly in Python and C#. You might be asked to solve problems on the spot, so practice coding challenges that involve building APIs or working with async Python to show off your skills.
✨Understand the SaaS Environment
Familiarise yourself with how AI integrates into SaaS platforms. Be ready to discuss how you would embed AI into development workflows and ensure it operates safely within a regulated environment, as this is crucial for the role.
✨Communicate Clearly and Confidently
During the interview, articulate your thought process clearly. Discuss your past experiences with AI projects, focusing on measurable improvements and how you collaborated with cross-functional teams. Clear communication is key to demonstrating your fit for the role.
