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Engineering Manager, Forward Deployed Engineering (LLM)

San Francisco💼 Full-time🗓 2026-05-08 → 2026-09-25

Core

Lead and mentor Forward Deployed Engineers to build, scale, and optimize LLM inference workloads for customers, acting as both a manager and a hands-on technical contributor.

Role type

Engineering Manager (Player & Coach)

Builds

Production-ready LLM inference systems, model servers, and custom AI workflows for enterprise customers.

Domain

Artificial Intelligence / Machine Learning Infrastructure

Deliverable

production ML models

Required skills

Python, LLMs, inference optimization, serving frameworks (vLLM, TensorRT, Triton, Hugging Face, Ray Serve), observability, profiling, cost/performance tradeoffs

Preferred skills

GPU infrastructure, distributed inference, model compression, leading customer-facing engineering teams

Technologies

Python, vLLM, TensorRT, Triton, Hugging Face, Ray Serve, Docker

Responsibilities

Lead and mentor a team of Forward Deployed Engineers; design, implement, and deploy Baseten solutions end-to-end for customers; optimize and enhance AI/ML projects; turn vague objectives into clear specs and well-defined PoCs.

Seniority

Manager, hands-on IC

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