10 months ago
USA (city not specified)Senior
Responsibilities
- Work alongside clients, project managers, and architects to scope and deploy AI systems.
- Build and integrate systems using LLMs, RAG pipelines, agent frameworks, vector databases, and related tools.
- Translate high-level designs into working, measurable solution components.
- Debug and optimize systems for production reliability in complex enterprise environments.
- Write modular, reusable code balancing delivery speed with maintainability.
- Embed with client engineering teams to accelerate adoption and integration.
- Share field implementation insights to inform reusable platform components.
- Document technical decisions for client and internal engineering teams.
Requirements
- 5+ years of engineering experience, equivalent to at least 60 months.
- Proven experience shipping AI/ML systems into production.
- Strong Python skills and deep familiarity with LangChain, LlamaIndex, Hugging Face, and vector databases.
- Hands-on experience with cloud deployment, orchestration, CI/CD, and distributed environments including AWS, Azure, and GCP.
- Ability to troubleshoot authentication failures, networking issues, and unreliable data pipelines.
- Comfort working directly with client engineering teams and executives in ambiguous, delivery-focused environments.
Benefits
- Ship AI systems at scale for Fortune 500 enterprises.
- Work with cutting-edge AI frameworks across industries including finance, healthcare, and defense.
- Develop both technical and consulting skills in a hands-on AI delivery role.
- Join a culture emphasizing resilience, creativity, and execution.
Tech Stack
Categories
Forward Deployed
About Tribe AI
Tribe AI builds an enterprise AI delivery platform and provides consulting and implementation services to put high‑value AI use cases into production for large companies. The team designs, deploys, and scales applications on frontier models, with stated partnerships with OpenAI and Anthropic. The privately held company is headquartered in New York, NY, and operates a platform‑plus‑services model for enterprise customers.