Software Engineer

What You’ll Do

Design, develop, test, deploy, and support high-quality code:

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• Building, running, and consuming MCP servers (tool design, auth/OAuth, multi-tenant security, deployment)
• Building LLM agents with tool/function calling and multi-agent orchestration (e.g., A2A or similar)
• Testing and evaluating agent behaviour, plus observability in production
• Contribute to architecture and design discussions, and help evaluate trade-offs around scaling, reliability, and maintainability.
• Develop backend services in Python (for AI and Agent work) and Java (for integrating with our client's core platform), with attention to performance and data quality.
• Use AI coding tools (e.g., Cursor, Claude Code, GitHub Copilot) as part of your daily workflow to improve productivity and code quality.
• Participate in code reviews, giving and receiving feedback that improves the quality and consistency of the codebase.
• Identify and flag technical debt, and contribute ideas for how to address it.
• Break down development tasks into clear, manageable pieces and execute them reliably.
• Collaborate with Product Management and Quality Assurance to refine requirements and ensure your work meets a high bar for quality.
• Share what you're learning — whether that's a new pattern, a tool, or a better way of doing something — with the people around you.
• Other relevant duties as required.

What We’re Looking For

Must-Have Experience

Be based in Brazil, Colombia, the Dominican Republic, or Mexico.

Strong level of English, written and spoken.

4+ years of backend-heavy software development experience with Java and Python, with extensive usage of Agentic AI.

Solid experience in Java and Python, including working with data structures, relational databases, and SQL.

Hands-on experience with AI coding assistants (such as Cursor, Claude Code, or GitHub Copilot) as part of a daily development workflow.

Familiarity with cloud platforms (especially GCP) and application infrastructure concepts — containers, caching, and distributed systems — is an asset.

Experience working with Microservices

Comfortable working independently on well-defined problems and seeing them through to completion.

Strong attention to detail and a commitment to unit and functional testing.

Experience building AI-driven applications, agentic products and features, working with LLMs, or using frameworks like LangChain or Google ADK:

Hands-on production experience building, running, and consuming MCP servers, including tool design, auth/OAuth, multi-tenant security, and deployment.

Building LLM agents with tool/function calling and multi-agent orchestration (e.g., A2A or similar)

Testing and evaluating agent behaviour, plus observability in production

Computer Science, Engineering, or similar technical aptitude gained through post-secondary education, hands-on experience, or both. Nice-to-haves

Experience with React and TypeScript; familiarity with JavaScript design patterns and single-page apps. Our recruitment process

Recruiter interview (30 min)

Tech interview (30 min)

Client interview - Hiring manager interview (1 hour)

Client interview - Technical interview: design-focused (1h 15min)

Client interview - Technical interview: coding-focused (1 hour)

Client interview - Executive interview (30 min)

We strive to move efficiently from step to step to make the recruitment process as fast as possible.

What we offer

Totally remote, full-time (40h/week)

Work hours - 8 hours a day, East Coast office hours

Independent contractor agreement

Payment in USD, biweekly or monthly - your choice Our team Software Engineering Locations Brazil, Colombia, Dominican Republic, Mexico Remote status Fully Remote Software Engineering ·

Multiple locations

Fully Remote

If you are based in one of the 4 possible countries and have a strong English level, come help our client improve their powerful AI-powered enablement platform, with Python and Agentic AI!

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