About Tribe AI

Tribe transforms Fortune 1000 enterprises into AI-native companies. We map where AI creates billions in value, build it to production, and enable teams to run it. We're builders. Our teams ship production AI systems and we work at the intersection of what's technically possible today and what enterprises actually need. You'll work on hard problems at real scale, alongside senior practitioners who've shipped at the highest level. 

About the Role

We're looking for AI Engineers, Architects, and Tech Leads who build end-to-end. You'll work alongside Tribe's forward-deployed teams — embedded with enterprise clients, building and shipping production AI systems.

This is a contract role (1099, 20–40 hrs/week) staffed on a project basis. You'll be matched to engagements based on your skills and experience, working alongside Tribe's forward-deployed full-time team.

You might be architecting an AI system from scratch one month and debugging auth failures in a brittle enterprise environment the next. You might be building agent frameworks, standing up RAG pipelines, or figuring out how to get a fine-tuned model into production on a client's locked-down infrastructure. The common thread: you build things that actually work in the real world, not just in demos.

What You'll Do

• Build and ship AI systems for Fortune 1000 enterprises — from initial architecture through production deployment
• Work across the AI stack: LLMs, agent frameworks, RAG pipelines, vector databases, model fine-tuning, evaluation, and monitoring
• Navigate real enterprise constraints: messy data, legacy systems, security requirements, brittle infrastructure
• Embed with client engineering teams — accelerating adoption, unblocking integration, and transferring capability
• Make build vs. buy decisions grounded in what's actually possible today and what's coming next
• Collaborate with forward-deployed PMs and strategists to translate business problems into technical approaches that ship

About You

• 5+ years of engineering experience, with proven work shipping AI systems into production
• Strong across the stack — you can architect a system, build it, deploy it, and debug it when things break at 2am
• Deep familiarity with modern AI frameworks and tooling (LangChain, LlamaIndex, Hugging Face, vector DBs, etc.)
• Hands-on with cloud infrastructure (AWS, Azure, GCP) — deployment, orchestration, CI/CD, distributed systems
• Comfortable in ambiguity. You thrive when the problem isn't well-defined and the environment isn't "ideal"
• Client-facing and executive-ready. You're credible with engineers in the trenches and clear with C-suite stakeholders
• Builder mentality — you care about outcomes over process, shipping over ceremony, and winning over optimizing for your next role