AI Engineer

• Design, develop, test, deploy, and support high-quality code
• Build, run, and consume MCP servers, including tool design, auth/OAuth, multi-tenant security, and deployment
• Build LLM agents with tool/function calling and multi-agent orchestration
• Test and evaluate agent behaviour and implement observability in production
• Contribute to architecture and design discussions and evaluate trade-offs around scaling, reliability, and maintainability
• Develop backend services in Python for AI and Agent work and Java for integrating with the client's core platform
• Use AI coding tools such as Cursor, Claude Code, and GitHub Copilot in the daily workflow
• Participate in code reviews
• Identify technical debt and contribute solutions
• Break development tasks into clear, manageable pieces and execute them reliably
• Collaborate with Product Management and Quality Assurance to refine requirements and ensure high-quality work
• Share learning about new patterns, tools, and methods
• Perform other relevant duties as required

Explore AI Engineer at Virtasant. Review requirements and application details.