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: Dynamic role with a focus on collaboration and real-world impact.
- 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 80000 - 100000 £ 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)
- Reusable skills, templates, and workflows
- Multi‐agent and parallel execution patterns
- 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:
- 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
- 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
- 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) in London 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. 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) in London
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Senior AI Engineer (Agentic Systems) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at StarCompliance, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at StarCompliance, Inc. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at StarCompliance, Inc.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If StarCompliance, Inc. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
