AI Platform Tech Lead

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. We are looking for an AI Platform Tech Lead to serve as the hands-on technical owner of a general-purpose enterprise AI collaboration ecosystem.

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

This role requires 6+ years of development experience with demonstrated production AI agent and enterprise SaaS platform engineering expertise. You will lead technically through expertise and influence without direct people-management authority.

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
• Ability to lead technically through expertise and influence without direct people-management authority
• Upper-intermediate English level

Benefits

• Growth without limits
• Competitive compensation
• Flexible hours
• Meaningful, modern projects
• Collaborative culture
• Well-being & support
• Local well-being programs
• Annual learning budget