AI Engineer
Virtasant is hiring an AI Engineer for a remote role open to applicants in United States. Level rates it ; you can apply on Level.
AI in this role
Build agentic AI systems, LLM agents, and backend services as a remote 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 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
How we rate this
AI Engineer at Virtasant rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where agentic ai was part of your work. What did you do?
- Tell me about a project where llm agents was part of your work. What did you do?
- Tell me about a project where backend was part of your work. What did you do?
- Tell me about a project where mcp was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Agentic AI, LLM Agents, Backend, and Mcp. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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