Backend Engineer - Agentic AI

About Virtasant

Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries. We specialize in cloud architecture, infrastructure, migration, and optimization, helping enterprises scale efficiently while maintaining cost control.

Our clients range from Fortune 500 companies to fast-growing startups, relying on us to build high-performance infrastructure, optimize cloud environments, and enable continuous delivery at scale.

About the role

Our client develops a powerful AI-powered training and communication SaaS platform that gives frontline workers the knowledge they’re missing to drive measurable business performance.

You will be a fully remote , hands-on contributor on our client's Development Team, building features and products primarily across Agentic AI and backend services , with occasional contributions to frontend user interfaces when needed. This role takes clear ownership of well-defined problems and delivers high-quality solutions with confidence and independence. Working closely with peers across the Development Team, you will contribute to technical discussions, keep pace with a fast-moving codebase, and bring genuine care for the craft to everything you build.

What You’ll Do

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

  • 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