At a Glance
- Tasks: Lead the integration of AI into software development, enhancing workflows and delivery.
- Company: Join StarCompliance, a leader in compliance software with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethical practices and integrity.
- Why this job: Be at the forefront of AI technology, transforming how software is built and delivered.
- Qualifications: Strong software engineering background and hands-on AI experience in real workflows.
The predicted salary is between 70000 - 90000 € per year.
At StarCompliance, we build software that supports critical compliance needs for global clients. We are now embedding AI as a core capability across the entire software development lifecycle.
We are seeking a Senior AI Engineer to lead the practical adoption and scaling of AI-assisted and agentic engineering across our teams. This is not a research or experimentation role. You will work hands‑on within real codebases, using modern AI‑native development environments (Cursor preferred) to fundamentally change how software is built, tested, and delivered. Your focus is to turn AI from a tool into a system—repeatable, scalable, and embedded.
You will define and implement playbooks, patterns, and workflows that enable teams to operate with parallel AI agents, autonomous code review, and AI‑driven delivery pipelines. You will also help bootstrap new initiatives, ensuring they start with the right architecture, tooling, and AI‑enabled engineering practices from day one. This role sits within R&D Engineering and partners closely with Platform, QA, and Product Engineering. Influence is earned through delivery, not hierarchy.
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 parallelisation
- 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 implement scalable AI‑assisted engineering workflows across teams
- Establish playbooks, standards, and best practices for agentic development
- Build and operationalize:
- Task‑specific agents (e.g. test generation, refactoring, code analysis)
- Reusable skills, templates, and workflows
- Multi‑agent and parallel execution patterns
- Integrate AI into CI/CD pipelines (Azure DevOps preferred), including:
- Autonomous or assisted code review
- AI‑driven test generation and maintenance
- Code quality and compliance checks
- Implement automation triggers and hooks to embed AI into the delivery lifecycle
- Work directly within codebases to accelerate delivery and improve quality
- Enable and upskill engineering teams through practical guidance, examples, and training
- Bootstrap new projects with AI‑first engineering practices and tooling
- Rapidly prototype and validate new approaches, focusing on real delivery impact
- Ensure all AI‑enabled workflows are robust, observable, and production‑safe
Skills and Experience
- Core Engineering
- Strong software engineering background (ideally C# / .NET) in cloud‑based SaaS environments
- Experience building and operating distributed systems
- Strong understanding of APIs, systems design, and modern development practices
- Experience with CI/CD pipelines (Azure DevOps preferred)
- AI & Agentic Engineering
- Hands‑on experience using AI within real development workflows (not standalone tools)
- Deep familiarity with AI‑native IDEs (Cursor preferred, or similar)
- Proven experience designing structured AI workflows, including reusable prompts, skills, or templates
- Multi‑step or agent‑based execution patterns
- Tool integration and workflow orchestration
- Experience integrating AI into engineering systems, such as CI/CD pipelines, PR validation and automation, developer tooling
- Practical application of AI to test generation and maintenance, code analysis, refactoring, and quality improvement
- Delivery & Problem Solving
- Track record of delivering production‑grade solutions, not just prototypes
- Experience enabling other engineers or teams to adopt new technologies at scale
- Strong problem‑solving skills in complex, evolving environments
- Ability to define patterns where none exist and make them usable by others
Important Clarification
Experience limited to prompt‑based tools used in isolation is not sufficient. We are looking for engineers who have embedded AI into real engineering systems and workflows and have scaled those practices across teams.
Minimum Qualifications
- Software engineering experience in cloud‑based SaaS environments
- Experience designing and evolving enterprise‑scale distributed systems
- Demonstrated impact in improving engineering delivery or developer productivity
- Practical experience applying AI within professional engineering workflows
- Experience working within enterprise SaaS platforms
- 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 Engineer (Agentic Systems) in London employer: StarCompliance, LLC
At StarCompliance, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to lead the charge in AI integration within software development. Our commitment to professional growth is evident through hands-on projects and collaborative initiatives, ensuring that every team member has the opportunity to enhance their skills and make a tangible impact. Located in the UK, we offer a supportive environment where integrity and ethical practices are at the forefront, making us an exceptional employer for those seeking meaningful and rewarding careers in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer (Agentic Systems) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and contributions to real codebases. This will give potential employers a taste of what you can do and how you can embed AI into their workflows.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI engineering. Be ready to discuss how you've applied AI in practical settings and how you can help teams scale their engineering practices.
✨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 proactive about their job search!
We think you need these skills to ace Senior AI Engineer (Agentic Systems) in London
Some tips for your application 🫡
Show Your Hands-On Experience:When applying, make sure to highlight your practical experience with AI in real development workflows. We want to see how you've embedded AI into engineering systems, not just used it as a standalone tool.
Tailor Your Application:Take the time to customise your application for this role. Use the job description language to demonstrate how your skills and experiences align with what we're looking for at StarCompliance.
Be Clear About Your Impact:We love seeing measurable improvements! In your application, share specific examples of how you've enhanced engineering delivery or developer productivity in previous roles.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at StarCompliance, LLC
✨Know Your AI Inside Out
Make sure you’re well-versed in how AI integrates into engineering workflows. Be ready to discuss specific examples of how you've embedded AI into real codebases, not just theoretical knowledge. This will show your hands-on experience and understanding of the role.
✨Demonstrate Your Engineering Skills
Brush up on your software engineering fundamentals, especially in C# and .NET. Prepare to talk about your experience with cloud-based SaaS environments and distributed systems. Highlight any projects where you’ve designed scalable solutions or improved developer productivity.
✨Showcase Your Problem-Solving Abilities
Be prepared to discuss complex problems you've solved in previous roles. Think of specific instances where you defined patterns or created reusable workflows. This will demonstrate your ability to adapt and innovate in evolving environments.
✨Prepare for Technical Questions
Expect technical questions related to CI/CD pipelines and AI-native IDEs like Cursor. Brush up on your knowledge of integrating AI into development processes and be ready to explain how you would implement best practices for agentic development.
