Job Description

Company Description

We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!

Job Description

This is a 3-month project.

We're currrently hiring for all Latin America

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.

Qualifications

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.
• Diagnose and fix application exceptions, production defects, and security vulnerabilities; implement durable code corrections, automated tests, and validated remediation. Deliver production-quality applications, APIs, services, and automation using C#/.NET, Angular, Azure SQL, Python or TypeScript, Azure, Git, Azure DevOps, and CI/CD.
• Use an advanced agent-based coding tool for autonomous and multi-step delivery, multi-file and cross-repository changes, modernization, refactoring, test-and-fix loops, code review, and documentation. GitHub Copilot experience is strongly preferred.
• Implement quality, security, and governance controls including automated tests, protected-branch approvals, least privilege, secrets management, traceability, prompt-injection defenses, and safe tool execution.
• Instrument agent runs and delivery outcomes for quality, reliability, cycle time, rework, cost, tool use, and human intervention.
• Work directly with the Sr. Director to convert priorities into an executable backlog, apply a solution-oriented mindset to ambiguous engineering challenges, demonstrate progress, document standards, and transfer knowledge to the current enginerring team.

Additional Information

Preferred Experience

• Claude Code experience, especially for terminal-based autonomous engineering, cross-repository work, and tool-driven development workflows.
• Microsoft Foundry, Copilot Studio, Microsoft 365 Copilot, Azure API Management, Azure Functions, Application Insights, Key Vault, Service Bus, or Cosmos DB.
• .NET modernization, SAST/Snyk, contract testing, evaluation harnesses, golden test sets, agent benchmarks, AI cost controls, enterprise change management, privacy, security, architecture governance, and production support.