Virtasant

AI Engineer

Dominican Republic, United States · REMOTE · FREELANCE
Publiée le 8 octobre 2026 · Candidature traitée sur le site de l’entreprise
Data ScienceDeveloperAI-EngineerBackend-EngineerSoftware-EngineerPython-DeveloperJava-DeveloperArtificial-Intelligence-EngineerAI-ML-EngineerAI-Engineering-SpecialistAI-EngineeringArtificial-Intelligence-EngineeringPython-AI-EngineerAI-Agent-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 Originally posted on Himalayas