Inference & Post-Training Engineer (Remote, Equity)

Together; San Francisco (CA); On-site; USD 270,000 - 300,000; Full time

Benefits offered by this job

Startup equity

Health insurance

Remote work flexibility

Job summary

Together AI, the AI Native Cloud, is seeking a Forward Deployed Engineer focused on Inference & Post-Training to partner with our most strategic customers. You will optimize inference engines, tune deployments, and guide LoRA, SFT, DPO, RLHF, and GRPO pipelines from experimentation through production.

You will collaborate with SAs, CX, and Sales to ensure successful platform adoption, meet POC milestones, and influence the product roadmap with field insights.

Qualifications

• 5+ years in a technical role focused on inference systems.
• Hands-on experience with open-source LLM deployment.
• Strong Python skills in production environments.

Responsibilities

• Inference Engine Optimization: Select, configure, and optimize inference engine based on hardware, model architecture, and workload profile.
• Configuration & Performance Tuning: Develop configuration updates to win critical POCs, benchmarks, and optimize customer deployments; tune KV cache, apply speculative decoding, determine optimal tensor parallelism, and determine quantization strategy to hit throughput and latency targets.
• Post-Training & Fine-Tuning: Drive hands-on RL training runs and optimize system design; guide customers through LoRA, SFT, DPO, RLHF, and GRPO pipelines from experimentation through production.
• Strategic Customer Alignment: Act as the primary technical point of contact for aligned strategic accounts — monitoring and optimizing endpoint configurations, helping customers get the most out of the platform, and collaborating to ensure we hit critical milestones.
• Opinionated Onboarding: Establish direct alignment with strategic customers at onboarding; ensure the right inference and post-training configurations are in place from day one to improve time-to-value.
• Product Feedback Loop: Directly influence our software and model roadmap by surfacing insights from the field. Contribute back to the product where needed to support customer requirements or drive a better experience. Drive early feature and research adoption with strategic logos.

Skills

Python

Inference systems

Open-source deployment

Production environments

Model fine-tuning pipelines

Tools

vLLM

TensorRT-LLM

SGLang

Job description

Together AI, the AI Native Cloud, is seeking a Forward Deployed Engineer focused on Inference & Post-Training to partner with our most strategic customers. You will optimize inference engines, tune deployments, and guide LoRA, SFT, DPO, RLHF, and GRPO pipelines from experimentation through production.

You will collaborate with SAs, CX, and Sales to ensure successful platform adoption, meet POC milestones, and influence the product roadmap with field insights.