Remote
[8GS] Senior Agentic Engineering Consultant
About this role
This is a 3-month project. The Senior Agentic Engineering Consultant will deliver AI-forward agentic projects and priority engineering items, with primary responsibility for building and scaling a secure, reusable agentic engineering harness. The role requires production-quality implementation, measurable outcomes, a solution-oriented mindset, and effective knowledge transfer to internal teams. Expectations - the experience you need 90% English written and oral (at least B2 level) with excellent communication skills.
7+ years of professional software engineering experience with senior-level design and hands-on delivery responsibility. Demonstrated harness-engineering and loop-engineering experience, including tool calling, structured context, planning and execution loops, evaluation, recovery, self-correction, and human review. Expert-level experience with at least one enterprise agent-based coding tool, together with strong harness-engineering experience.
This includes autonomous workflows, multi-file and cross-repository implementation, test-and-fix loops, refactoring, code review, and validation of AI-generated code. GitHub Copilot experience is preferred. Core engineering expertise in C#/.NET, Angular, Azure SQL, API development, and OpenAPI specifications, with practical Python or TypeScript experience for agent tooling and automation. Deep experience with Azure, Azure DevOps, Git, pull requests, YAML pipelines, CI/CD, automated testing, DevSecOps, and Playwright for browser automation and test verification.
Experience with MCP or equivalent integration patterns, including authentication, authorization, schemas, observability, error handling, and safe execution. Strong communication, technical judgment, ownership, and a solution-oriented mindset, with the ability to translate ambiguous engineering challenges into practical, secure, and maintainable solutions while working directly with a senior technology leader. What you will do Design and implement agentic harnesses and loop-engineering workflows covering context loading, planning, coding, tool execution, testing, validation, recovery, self-correction, and human review.
Design, code, test, and maintain skill files, tool definitions, prompts, schemas, personas, repository instructions, and reusable components for the agentic harness across product, development, architecture, and quality workflows. Engineer MCP servers and integrations with Azure DevOps, repositories, pipelines, engineering standards, and approved enterprise knowledge sources; build and maintain Playwright as the test-verification harness and tool for agentic workflows.