We are seeking a Lead Software Engineer to join the AI Workspace team. You will lead the technical aspects of developing AI-powered automation capabilities, working closely with the Engineering Manager and Product Managers. This is a hands-on leadership role where you'll architect and implement agentic AI systems that integrate with enterprise testing platforms.
job requisition id
JR105705
What You'll Do
Lead technical design and implementation of AI agent architectures and agentic workflows
Develop and extend our MCP (Model Context Protocol) integrations connecting AI agents to enterprise tools (Jira, Confluence, GitHub, etc.)
Design multi-tenant, production-grade AI systems with proper observability, caching, and resilience patterns
Build and maintain Agent-to-Agent (A2A) communication protocols
Collaborate with PMs to translate product requirements into scalable technical solutions
Mentor team members and drive engineering best practices (code reviews, testing strategies, documentation)
Contribute to architectural decisions.
Requirements: What We're Looking For
Must Have:
Strong Python expertise (5+ years) with experience in async programming and FastAPI
Frontend experience (4+ years) with React/TypeScript
3+ years of experience designing, deploying, and operating language model-based solutions in production.
Hands-on experience with AI/LLM integrations (OpenAI, Anthropic, or similar)
Experience building or working with AI agents, agentic workflows, or AI-assisted development tools (e.g., Cursor, GitHub Copilot, Claude Code, similar agent frameworks)
Experience with MCP (Model Context Protocol) or A2A protocols
Solid understanding of API design, authentication patterns, and multi-tenant architectures
Track record of leading technical initiatives and mentoring engineers
Strong testing discipline (unit, integration, E2E)
Great communication skills, both written and verbally.
This position is open to all candidates.