We're looking for an Agentic AI Engineer to join our. In this role, you will design and implement agentic AI workflows that automate and accelerate software development activities , including coding, testing, quality assurance, and continuous integration. You will translate business requirements into practical AI-driven engineering solutions integrated with repositories, architecture, and CI/CD pipelines. The position involves building safe, controllable, and reusable AI patterns , ensuring proper validation, quality gates, and human oversight.a
Responsibilities
- Translate business requirements into agentic AI workflows across coding, review, testing, and defect resolution
- Build connected AI-driven pipelines that can develop code, execute tests, analyze failures, and refine implementations iteratively
- Assess existing repository, architecture, and technology stack before proposing automation solutions
- Embed validation controls, quality gates, evidence capture, safe stopping conditions, and human approval checkpoints in solutions
- Package and integrate agentic AI workflows for reuse across teams and development environments
- Ensure measurable outcomes aligned with quality, security, and regulatory compliance
- Collaborate with engineering, QA, and DevOps teams to scale AI-driven capabilities across the organization
- Support continuous improvement and responsible AI practices
Requirements (Must Have Skills)
- Strong hands-on background in software engineering, SDET, quality engineering, data engineering, DevOps, or platform engineering
- Proven experience using agentic AI tools such as GitHub Copilot and/or Databricks Genie
- Expertise in multi-step AI workflows for development lifecycle: code generation, review, testing, and iterative refinement
- Proficiency in automated testing, shift-left quality practices, Git-based workflows, pull requests, and CI/CD
- Ability to translate business problems into technical AI solutions with measurable control points
- Experience embedding human-in-the-loop validation, safe failure handling, and reusable automation patterns
Nice to Have Skills
- Experience creating custom Copilot agents or repository-aware AI prompts
- Familiarity with Databricks workflows, notebooks, pipelines, and data-quality engineering
- Knowledge of AI agent evaluation, regression testing, and performance benchmarking
- Exposure to static analysis, security testing, observability solutions, and responsible AI governance
- Experience scaling AI engineering capabilities across large programs or multiple teams
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Agentic AI Engineer in London employer: Vallum Associates
As an Electronics Test Engineer at our company, you will be part of a dynamic and innovative team dedicated to pushing the boundaries of technology in a collaborative work environment. We offer competitive benefits, a strong focus on employee development, and opportunities for career advancement, all while being located in a vibrant area that fosters creativity and growth. Join us to make a meaningful impact in the field of electronics testing and enjoy a rewarding career with us.