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.
UK Based Role
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) 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. As a Senior AI Engineer, you will not only have the opportunity to work with cutting-edge technology but also benefit from a collaborative environment that prioritises professional growth and continuous learning. Our commitment to ethical practices and integrity ensures that you will be part of a team that values meaningful contributions and strives for excellence in delivering compliance solutions for global clients.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer (Agentic Systems)
✨Tip Number 1
Get your hands dirty! Dive into coding challenges or projects that showcase your AI skills. Show us how you can embed AI into real workflows, not just theory. This is your chance to demonstrate your practical experience.
✨Tip Number 2
Network like a pro! Connect with folks in the industry through LinkedIn or tech meetups. Share your insights on AI and agentic systems. You never know who might be looking for someone just like you!
✨Tip Number 3
Don’t shy away from showcasing your past projects. Create a portfolio that highlights your experience with AI in engineering systems. We want to see how you've made an impact in previous roles!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in being part of our team at StarCompliance.
We think you need these skills to ace Senior AI Engineer (Agentic Systems)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI in real development workflows. We want to see how you've embedded AI into engineering systems, so don’t hold back on those details!
Showcase Your Hands-On Experience:We’re looking for practical examples of your work, especially with modern AI-native development environments like Cursor. Share specific projects where you’ve designed scalable AI workflows or integrated AI into CI/CD pipelines.
Highlight Collaboration Skills:Since this role involves working closely with various teams, emphasise your ability to collaborate and influence others through delivery. Share instances where you’ve enabled teams to adopt new technologies or practices.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at StarCompliance, LLC
✨Know Your AI Inside Out
Make sure you have a solid understanding of how AI can be embedded into development workflows. Be ready to discuss specific examples from your past experience where you've integrated AI into real codebases, not just as a standalone tool.
✨Showcase Your Engineering Skills
Highlight your strong software engineering background, especially in C# and cloud-based SaaS environments. Prepare to talk about your experience with CI/CD pipelines and how you've designed scalable systems that improve delivery and quality.
✨Prepare for Practical Scenarios
Expect to tackle practical scenarios during the interview. Think about how you would design playbooks or workflows for agentic development. Be ready to explain your thought process and how you would implement these in a team setting.
✨Demonstrate Your Problem-Solving Skills
Be prepared to discuss complex problems you've solved in previous roles. Share specific instances where you've defined patterns or processes that improved engineering delivery or developer productivity, showcasing your ability to adapt and innovate.
