Forward Deployed AI Engineer

Posted Yesterday
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Hiring Remotely in United States
Remote
Senior level
Artificial Intelligence • Machine Learning • Consulting
Powering the Enterprise AI Wave
The Role
Lead client-facing AI engineering engagements: build and deploy production LLM systems using RAG, vector DBs, and agent frameworks; handle cloud deployments, CI/CD, and reliability; debug enterprise issues (auth, networking, data); embed with client teams and document solutions for reuse.
Summary Generated by Built In
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.

About the Role

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.

Key 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.

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.

Why Join Us:
  • 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.

Skills Required

  • 5+ years engineering experience shipping AI/ML systems into production
  • Strong Python skills
  • Deep familiarity with modern AI/ML frameworks (LangChain, LlamaIndex, Hugging Face)
  • Experience with vector databases and RAG pipelines
  • Experience with agent frameworks
  • Hands-on cloud deployment, orchestration, CI/CD, distributed environments (AWS, Azure, GCP)
  • Ability to debug enterprise issues (authentication, networking, flaky data pipelines)
  • Comfortable in client-facing environments; able to communicate with engineers and executives
  • Problem-solver who thrives in ambiguity and prioritizes delivery and reliability
Am I A Good Fit?
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The Company
HQ: New York, NY
35 Employees
Year Founded: 2019

What We Do

Founded in 2019, Tribe is an AI-native strategy and services partner dedicated to helping enterprise companies build AI solutions that drive measurable business impact. Tribe has delivered hundreds of successful AI deployments and has assembled one of the most concentrated networks of top AI talent outside of Big Tech. Tribe meets clients wherever they are on their AI journey—from executive education and strategy to use case ideation, proving ROI, hands-on proof of concept development, and scaling from PoC to production. Our flexible model gives companies access to world-class AI talent and expertise to accelerate outcomes with speed, precision, and measurable results.

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