[8GS] Senior Agentic Engineering Consultant

Software Mind Americas

About The Position

Software Mind is hiring a Senior Agentic Engineering Consultant for a three-month project, currently open to candidates across Latin America. The consultant will deliver AI-forward agentic projects and priority engineering work, with primary responsibility for building and scaling a secure, reusable agentic engineering harness. The role emphasizes production-quality implementation, measurable outcomes, sound technical judgment, and effective knowledge transfer to internal teams. The consultant will work directly with a senior technology leader to turn priorities and ambiguous engineering challenges into practical, secure, maintainable solutions.

Requirements

At least 7 years of professional software engineering experience, with senior-level design and hands-on delivery responsibility.
English written and oral proficiency at 90% (at least B2 level), with excellent communication skills.
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 and strong harness-engineering experience, including autonomous workflows, multi-file and cross-repository implementation, test-and-fix loops, refactoring, code review, and validation of AI-generated code.
Core engineering expertise in C#/.NET, Angular, Azure SQL, API development, and OpenAPI specifications.
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; ability to translate ambiguous engineering challenges into practical, secure, and maintainable solutions while working directly with a senior technology leader.

Nice To Haves

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

Responsibilities

Design and implement agentic harnesses and loop-engineering workflows for context loading, planning, coding, tool execution, testing, validation, recovery, self-correction, and human review.
Design, implement, test, and maintain skill files, tool definitions, prompts, schemas, personas, repository instructions, and reusable harness components for 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 a 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.
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, demonstrate progress, document standards, and transfer knowledge to the current engineering team.
Apply a solution-oriented mindset to ambiguous engineering challenges.