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Senior AI Engineer (Agentic Systems)

4 months, 1 week ago
United Kingdom
Full-time
Senior
AI Engineer
Software Development
Azure C# CI/CD .NET System Design
Apply Now
StarCompliance

StarCompliance

StarCompliance is a leading provider of compliance and regulatory software for the financial services industry. They offer solutions that help businesses monitor conflicts, meet regulatory obligations, reduce risk, and comply with confidence. Their pro...

Capital Markets
251-1K
Founded 1999
View All Jobs 4

Description

  • Design and implement scalable AI-assisted engineering workflows across engineering teams.
  • Establish playbooks, standards, and best practices for agentic development.
  • Build task-specific agents for activities such as test generation, refactoring, and code analysis.
  • Develop reusable skills, templates, workflows, and multi-agent execution patterns.
  • Integrate AI into CI/CD pipelines, including code review, test generation, maintenance, and quality checks.
  • Implement automation triggers and hooks that embed AI into the delivery lifecycle.
  • Work directly within codebases to accelerate delivery and improve software quality.
  • Enable and upskill engineering teams through guidance, examples, and training.
  • Bootstrap new projects with AI-first engineering practices, architecture, and tooling.
  • Prototype and validate new approaches with a focus on real delivery impact and production safety.

Requirements

  • Strong software engineering background in cloud-based SaaS environments, ideally with C# / .NET.
  • Experience building and operating distributed systems.
  • Strong understanding of APIs, system design, and modern development practices.
  • Experience working with CI/CD pipelines, with Azure DevOps preferred.
  • Hands-on experience using AI within real development workflows, not standalone tools.
  • Deep familiarity with AI-native IDEs such as Cursor or similar tools.
  • Proven experience designing structured AI workflows, including reusable prompts, skills, templates, or multi-step agent-based execution.
  • Experience integrating AI into engineering systems such as CI/CD pipelines, PR validation, automation, or developer tooling.
  • Practical application of AI to test generation and maintenance, code analysis, refactoring, and developer productivity at scale.
  • Track record of delivering production-grade solutions and enabling teams to adopt new technologies at scale.
  • Experience working within enterprise SaaS platforms.
  • Demonstrated impact on engineering delivery or developer productivity.
  • Right to work in the country of employment.

Interested in this position?

Apply directly on the company website

Apply Now

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