AI Engineer

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 spanning backend services and frontend user interfaces, but mainly concentrated on Agentic AI. 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.
- Familiarity with cloud platforms and application infrastructure concepts — containers, caching, and distributed systems — is an asset.
- 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