Tribe AI

Forward Deployed AI Engineer

United States

Sponsorship not specifiedDetected 173 days ago

PythonVector DatabasesAWSGCPAzureCI/CDMachine LearningData EngineeringLLMsRAGCollaboration

About the role

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.

Build and integrate systems using LLMs, RAG pipelines, agent frameworks, vector DBs, and related tools.
Translate high-level designs into working components that deliver measurable outcomes.
Debug relentlessly - optimize for reliability in production, not just elegance in code.
Document decisions with clarity so both clients and internal teams can build on your work.
Growth: Stay hands-on with cutting-edge frameworks while developing field-tested instincts.
Trajectory: Build both your technical and consulting muscles in one of the most demanding roles in AI delivery.
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.
Build both your technical and consulting muscles in one of the most demanding roles in AI delivery.

5+ years of engineering experience, with proven work shipping AI/ML systems into production.
Ability to debug gnarly real-world issues (auth failures, networking black holes, flaky data pipelines).

Variety: Solve problems across industries, from finance to healthcare to defense.

Work in a team that prizes resilience, creativity, and winning over process.
At Tribe, we're on a mission to help enterprises realize the value of AI for their business.

This listing is sourced directly from Tribe AI's careers page and normalized into a canonical job model.