Forward Deployed AI Engineer
AI summary of the role
Forward Deployed AI Engineer embedded with enterprise clients to build and deploy production AI systems.
What you’ll do
- Embed with enterprise clients to scope, build, and deploy AI solutions in production.
- Build and integrate systems using LLMs, RAG pipelines, agent frameworks, and vector DBs.
- Navigate real-world challenges like data access, authentication, security, and networking.
- Translate high-level designs into working components that deliver measurable outcomes.
What you’ll bring
- 5+ years of engineering experience shipping AI/ML systems into production.
- Strong Python skills and deep familiarity with LangChain, LlamaIndex, Hugging Face, and vector DBs.
- Hands-on with cloud deployment, orchestration, CI/CD, and distributed environments (AWS, Azure, GCP).
- Ability to debug real-world issues like auth failures, networking black holes, and flaky data pipelines.
Technologies
Python · LangChain · LlamaIndex · Hugging Face · vector DBs · RAG · LLMs · agent frameworks · AWS · Azure · GCP · CI/CD
Source and classification
Production engineering · Evidence for this classification:
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
More from the job description
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 framewo [... source excerpt omitted ...] se 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 i [... source excerpt omitted ...] h 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 mu
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