Role OverviewWe are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem. You will design and build AI agents, skills, and RAG integrations using MCP, function calling, and APIs, and establish technical standards for agent development, testing, and deployment.
What You Will Do
- Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. - Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. - Translate business needs into technical designs, prototypes, and production-ready AI capabilities.
Why It Might Be a Fit
You will lead technically through expertise and influence without direct people-management authority, and have the opportunity to grow, make an impact, and work with people who care.
Requirements
- Authorized to work for ANY employer in the US
- 6+ years of experience in development roles, with hands-on experience as a Tech Lead
- Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations
- Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls
- Proven ability to move solutions from proof of concept to stable, supportable production services
- Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms
- Working knowledge of enterprise security, privacy, compliance, and data-governance principles
- Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms
- Practical experience with Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products
- Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management
- Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills
- Upper-intermediate English level
Benefits
- Growth without limits
- Competitive compensation
- Flexibility
- Meaningful, modern projects
- Collaborative culture
- Well-being & support
- Local well-being programs
- People-focused support
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