Company Profile

Together AI

Together AI provides open-model inference and training infrastructure for developers and enterprises building production AI systems.

🇺🇸 San Francisco, CA, United StatesMarket Cap: $1.2B

What They Build

Open AI Compute and Model Serving Platform

Customer Type

AI startups, developers, and enterprise platform teams

Business Model

Usage-based infrastructure revenue and enterprise agreements

Key Products & Initiatives

  • Open-model access and performance are key product promises.
  • Compute efficiency and deployment reliability drive customer retention.
  • Platform competes on practical production outcomes and developer speed.

Key Products & Brands

Inference API Platform

AI Serving

Hosted model inference for open and custom workloads.

inferenceAPIopen models

Training Infrastructure

AI Compute

Infrastructure for model training and fine-tuning workflows.

trainingfine-tuningGPU infra

Model Ecosystem Integrations

Developer Platform

Compatibility tooling for model and workflow portability.

model ecosystemintegrationdeveloper tools

Role Families

Inference Engine Optimization

Systems EngineerHPC EngineerCompiler Engineer

Expected Skills

C++CUDAPythonGPU ArchitecturePerformance Profiling

What They Work On

  • Optimizing kernel performance (FlashAttention) for various GPUs.
  • Building the 'Together Inference Engine' for fast token generation.
  • Reducing latency and memory footprint of open models.

Portfolio Ideas

  • Building a custom CUDA kernel for matrix multiplication.
  • Creating a model quantization experiment.
  • Designing an inference latency profiler.

Distributed Training Stack

ML Infrastructure EngineerResearch EngineerNetwork Engineer

Expected Skills

PythonDistributed SystemsNetworkingHPC

What They Work On

  • Building infrastructure for training models across thousands of GPUs.
  • Developing decentralized training protocols.
  • Optimizing checkpointing and fault tolerance.

Portfolio Ideas

  • Building a distributed training parameter server.
  • Creating a checkpoint recovery automation.
  • Designing a network topology simulation for training.

Entry Pathways

internships

Internship availability varies by infrastructure and platform teams.

entry Level Roles

Entry roles in platform engineering and operations analytics support.

graduate Programs

Hiring is role-based and startup-style.

Culture Signals

  • Performance and cost efficiency are core product constraints.

  • Developer experience is tightly linked to growth outcomes.

  • Infrastructure reliability is central to enterprise trust.

Guidance by Audience

Strong fit for infra-focused AI builders.
Projects should show measurable performance or reliability impact.

Sources

Medium

Updated: February 8, 2026