# Forward Deployed Engineer (Inference & Post-Training) at Together AI

- Company: Together AI
- What the company does: Build what's next on the AI Native Cloud. Full-stack AI platform for inference, fine-tuning, and GPU clusters — powered by cutting-edge research. Backed by General Catalyst, Kleiner Perkins and NEA.
- Company website: https://www.together.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Pay: $270K to $300K base salary per year (USD)
- Posted: 2026-05-07
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/togetherai/jobs/5131941007
- Page: https://www.1752.vc/careers/jobs/together-ai-forward-deployed-engineer-inference-and-post-training/

## About the role

As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to our most strategic customers — production AI teams looking to leverage high quality models and do inference at scale. For us, FDE is not a replacement for a Solutions Architect; you will partner with our SAs as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment.

## What they're looking for

- Experience: 5+ years in a technical role, with a strong focus on inference systems, open-source LLM deployment, or post-training workflows
- Inference Engine Depth: Expert-level, hands-on experience with inference engines (e.g., vLLM, TensorRT-LLM, SGLang), ability to diagnose and resolve performance issues at the engine level
- Inference Optimization: Deep knowledge of KV cache tuning, speculative decoding, tensor parallelism, pipeline parallelism, and quantization techniques
- Post-Training Knowledge: Hands-on experience with fine-tuning and post-training pipelines, including LoRA, SFT, DPO, RLHF, and GRPO, ability to advise on system design
- Model Landscape Awareness: Broad knowledge of state-of-the-art open-source models and strong judgment on model selection for specific customer use cases, hardware profiles, and performance targets
- Coding Proficiency: Strong Python skills, comfortable working in production environments

Tags: Customer Success