United States
8 months ago

Job Overview

Job Type
FullTime
Pay
Not disclosed

Job description

Location:
United States
Work arrangement:
On-site

Role Summary

We’re looking for a Forward Deployed AI Engineer to lead our most mission-critical client engagements. This is not a lab role - you’ll be embedded with enterprise clients, building and deploying AI solutions where the problems are messy, the stakes are high, and the environment is rarely “ideal.”

You’ll be the one who makes things work in the real world: taking designs from architects, wrestling them into production, and ensuring they scale reliably under real constraints. If you thrive on chaos, love solving problems end-to-end, and want your code to matter outside of demos, this role is for you.

Responsibilities

Client Engagement & Delivery

  • Work side by side with clients, PMs, and Architects to scope and deploy AI systems that actually solve problems.
  • Build and integrate systems using LLMs, RAG pipelines, agent frameworks, vector DBs, and related tools.
  • Navigate real-world challenges: data access, authentication, security, networking, and brittle enterprise environments.

Solution Implementation

  • Translate high-level designs into working components that deliver measurable outcomes.
  • Debug relentlessly - optimize for reliability in production, not just elegance in code.
  • Write modular, reusable code that balances speed of delivery with long-term maintainability.

Collaboration & Enablement

  • Embed with client engineering teams to accelerate adoption and integration.
  • Share insights from field implementations to inform reusable components in our platform.
  • Document decisions with clarity so both clients and internal teams can build on your work.

Requirements

ABOUT YOU

  • 5+ years of engineering experience, with proven work shipping AI/ML systems into production.
  • Strong Python skills and deep familiarity with modern AI/ML frameworks (LangChain, LlamaIndex, Hugging Face, vector DBs).
  • Hands-on with cloud deployment, orchestration, CI/CD, and distributed environments (AWS, Azure, GCP).
  • Ability to debug gnarly real-world issues (auth failures, networking black holes, flaky data pipelines).
  • Problem-solver who thrives in ambiguity, focused on delivery and reliability over process and ceremony.
  • Comfortable in client-facing environments - credible with engineers, clear with executives.

About the Company

ABOUT TRIBE AI

At Tribe, we’re on a mission to help enterprises realize the value of AI for their business. Every large enterprise wants to use AI to transform how they operate — but many don’t have the capabilities to do it. That gap is our opportunity.

We’re an AI-native services company that helps enterprises build and deploy best-in-class AI products that deliver real business impact. We partner closely with OpenAI and Anthropic, giving us rare visibility into the most advanced models, roadmaps, and GTM strategies in the world.

  • Impact: Ship AI systems that don’t just demo well but run at scale in Fortune 500 enterprises.
  • Growth: Stay hands-on with cutting-edge frameworks while developing field-tested instincts.
  • Variety: Solve problems across industries, from finance to healthcare to defense.
  • Culture: Work in a team that prizes resilience, creativity, and winning over process.
  • Trajectory: Build both your technical and consulting muscles in one of the most demanding roles in AI delivery.
Role:
Forward Deployed AI Engineer
Job Type:
FullTime

Company profile

tribe-ai

tribe.ai

Tribe AI is an AI-native services company that helps enterprises take AI from ambition to production. Its teams embed with clients to build and deploy AI systems that ship, scale and compound, staying involved until the work is running in production. The company started in 2019 on the belief that every company would need to become an AI company, partners closely with OpenAI and Anthropic, and has recently welcomed the HipAI team.

Founded
2019

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