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, especially in cloud-based SaaS and AI integration.
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. 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 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)
- Create reusable skills, templates, and workflows
- Implement multi‑agent and parallel execution patterns
- Conduct autonomous or assisted code review
- Facilitate AI‑driven test generation and maintenance
- Perform 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:
- Strong software engineering background (ideally C# / .NET) in cloud‑based SaaS environments
- Experience building and operating distributed systems
- Strong understanding of APIs, system design, and modern development practices
- Experience with CI/CD pipelines (Azure DevOps preferred)
- 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
- Experience with multi‑step or agent‑based execution patterns
- Tool integration and workflow orchestration
- Experience integrating AI into engineering systems, such as PR validation and automation
- Practical application of AI to test generation and maintenance, code analysis, refactoring, and quality improvement
- Developer productivity at scale
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
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, Inc.
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 UK-based team enjoys a collaborative environment where influence is earned through delivery, not hierarchy, alongside ample opportunities for professional growth and skill enhancement. With a focus on embedding AI into engineering practices, we offer a unique chance to be at the forefront of technology while ensuring a supportive atmosphere that values integrity and ethical standards.
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. This is your chance to demonstrate how you can embed AI into real workflows, just like the role requires.
✨Tip Number 2
Network like a pro! Connect with current employees at StarCompliance on LinkedIn or attend industry meetups. Building relationships can give us insights into the company culture and what they really value in candidates.
✨Tip Number 3
Prepare for hands-on interviews! Expect to solve problems on the spot, so brush up on your coding skills and be ready to discuss how you've implemented AI in past projects. We want to see your thought process!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at StarCompliance. Let's make it happen!
We think you need these skills to ace Senior AI Engineer (Agentic Systems)
Some tips for your application 🫡
Show Your Hands-On Experience:Make sure to highlight your practical experience with AI in real development workflows. We want to see how you've embedded AI into your projects, not just used it as a separate tool.
Tailor Your Application:Take the time to customise your application for this role. Use the job description as a guide and align your skills and experiences with what we're looking for. It shows us you're genuinely interested!
Demonstrate Problem-Solving Skills:We love engineers who can tackle complex problems. Share examples of how you've defined patterns or improved delivery in previous roles. This will help us see your impact in action!
Apply Through Our Website:Don't forget to submit your application through our website! It's the best way for us to receive your details and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at StarCompliance, Inc.
✨Know Your AI Inside Out
Make sure you’re well-versed in how AI can be integrated into development workflows. Brush up on your experience with AI-native IDEs like Cursor and be ready to discuss specific examples of how you've applied AI in real codebases.
✨Showcase Your Engineering Skills
Prepare to talk about your software engineering background, especially in cloud-based SaaS environments. Highlight your experience with C# / .NET and distributed systems, and be ready to explain how you've designed scalable solutions.
✨Demonstrate Problem-Solving Prowess
Be prepared to share examples of complex problems you've solved in evolving environments. Discuss how you’ve defined patterns and implemented best practices that improved engineering delivery or developer productivity.
✨Emphasise Collaboration and Influence
Since this role involves working closely with various teams, highlight your experience in enabling others to adopt new technologies. Share instances where your influence was earned through delivery rather than hierarchy, showcasing your collaborative spirit.
