AI Engineer
# AI Engineer **Virtasant** · Dominican Republic; United States · `Remote` · `Contractor` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[AI-Engineer]` `[Backend-Engineer]` `[Software-Engineer]` `[Python-Developer]` `[Java-Developer]` `[Artificial-Intelligence-Engineer]` `[AI-ML-Engineer]` `[AI-Engineering-Specialist]` `[AI-Engineering]` `[Artificial-Intelligence-Engineering]` `[Python-AI-Engineer]` `[AI-Agent-Engineer]` --- ### About the Role 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
- AI-Engineer
- Backend-Engineer
- Software-Engineer
- Python-Developer
- Java-Developer
- Artificial-Intelligence-Engineer
- AI-ML-Engineer
- AI-Engineering-Specialist
- AI-Engineering
- Artificial-Intelligence-Engineering
- Python-AI-Engineer
- AI-Agent-Engineer
Наблюдалась 2026-10-08, впервые 2026-10-08, источник — Himalayas (JSON API).