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Together AI

Runs cloud infrastructure for open AI models

Forward Deployed Engineer - Strategic Inference

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 5 years in a technical role, with a strong focus on system optimization.
  • Recent experience in inference systems and open-source large language model deployments.
  • Hands-on experience with inference engines such as vLLM, TensorRT-LLM, or SGLang, including diagnosing and resolving performance issues at the engine level.
  • Deep knowledge of key-value cache tuning, speculative decoding, tensor parallelism, pipeline parallelism, and quantization techniques.
  • Broad knowledge of state-of-the-art open-source models and sound judgment in selecting models for customer use cases, hardware profiles, and performance targets.
  • Strong Python skills and comfort working in production environments.
  • Experience leading complex projects.

Responsibilities

  • Select, configure, and optimize inference engines based on hardware, model architecture, and workload profile.
  • Develop configuration updates to support critical proofs of concept and benchmarks and optimize customer deployments; tune key-value cache, apply speculative decoding, determine optimal tensor parallelism, and determine quantization strategies to meet throughput and latency targets.
  • Serve as the primary technical point of contact for aligned strategic accounts by monitoring and optimizing endpoint configurations, helping customers use the platform effectively, and collaborating to meet critical milestones.
  • Establish direct alignment with strategic customers during onboarding and ensure the appropriate inference configurations are in place from day one to improve time-to-value.
  • Surface field insights to influence the software and model roadmap; contribute to the product to support customer requirements or improve the experience; and drive early feature and research adoption with strategic customers.

About the Company

Together AI

Runs cloud infrastructure for open AI models

Together AI runs cloud infrastructure for developers and businesses that train, customize, and deploy AI models, with a focus on open models that customers control. Its platform combines model hosting with tools for adapting models to tasks such as coding assistants, customer support, and image generation. Developers call models through an API, reserve dedicated capacity for steady workloads, or rent GPU clusters for training, while the company charges for model usage and computing resources. Teams also fine-tune models on their own data and deploy the results through the same platform without building a separate serving system. Together AI was founded in 2022 and is based in San Francisco.

Company size
201-500
Company stage
Series C
Total funding
$1.3B
Headquarters
San Francisco, CA
Founded
2022

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