Tricentis
AI
LeadSoftwareEngineer-GenAI
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Software Engineer - GenAI at Tricentis. Skills: AI agent architectures, agentic workflows, AI-powered automation, Python, React/TypeScript, language model–based solutions, AI/LLM integrations, AI agents, multi-tenant architectures. Lead technical design and implementation of AI agent architectures and agentic workflows. Develop and extend MCP (Model Context Protocol) integrations connecting AI agents to enterprise tools”
Industry & Context.
Candidates must not be listed on any government restricted party lists (including OFAC SDN List and U.S. Commerce Department restricted lists) and must certify that their employment would not violate any sanctions or export control regulations., Candidates must notify us of any changes to their status during the application process or subsequent employment.
What They're Looking For.
Must Have
Python expertise (5+ years), 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, testing discipline (unit, integration, E2E), Great communication skills, both written and verbally
Nice to Have
Knowledge of MCP (Model Context Protocol) or A2A protocols
What You'll Do.
Lead technical design and implementation of AI agent architectures and agentic workflows
Develop and extend MCP (Model Context Protocol) integrations connecting AI agents to enterprise tools
production-grade AI systems with proper observability
and resilience patterns
Build and maintain Agent-to-Agent (A2A) communication protocols
Contribute to architectural decisions
How You'll Work.
Team & Collaboration
working closely with the Engineering Manager and Product Managers; Collaborate with PMs to translate product requirements into scalable technical solutions; Mentor team members; work alongside talented engineers
Communication Scope
Great communication skills, both written and verbally
Full Job Description
## **About the Role** We are seeking a Lead Software Engineer to join the AI Workspace team at Tricentis. 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. ## **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 ## **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 ## **About the Team** The AI Workspace team
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