Senior AI Engineer (Agentic Systems)

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.

• 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

Core Engineering 

• 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)

 

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 

• 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 

 

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 team