Starcompliance
Lead AI Engineer (Agentic Systems)
Hybrid
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hirly's read of this role
- Seniority
- Lead / management
- Work mode
- On-site / unstated
- First seen by hirly
- 1 Sept 2026
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the posting
Senior AI Engineer (Agentic Systems)
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 Lead 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 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
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