Embedded LLM

At Embedded LLM, we believe the foundation of AI should be open, and the people building it should be empowered.

Embedded LLM is a global AI infrastructure company building the foundation for the next generation of AI. With teams and offices across multiple countries, we bring together world-class talent to advance high-performance LLM inference, agent runtimes, post-training systems, private AI, governance and production operations.

Our team includes maintainers and major contributors to vLLM, one of the world’s leading open-source inference engines. 

That work reflects who we are. We take on difficult, foundational problems. We challenge assumptions with working code. We collaborate openly with the communities and ecosystem partners building the future alongside us.

Our infrastructure becomes practical enterprise technology through:

• TokenVisor, which governs how organizations access and operate AI.
• TokenVisor Spaces, which gives employees a controlled workspace for working with AI agents.
• JamAI Base, which makes AI workflows traceable, replayable and easier to improve.

Working at Embedded LLM means contributing where your work matters. You may improve an open-source system used across the AI ecosystem, solve a performance problem others thought was impossible, or turn advanced infrastructure into something people can use every day.

We give our people context, trust and room to lead. Ideas are judged by their merit, not by title or tenure. We value curiosity, direct communication, technical courage and generosity toward the people building beside us.

If you want to help create the infrastructure that the next generation of AI will depend on, come build it with us.

Build in the Open

We believe open source accelerates progress. We share knowledge, contribute upstream and build alongside the wider AI community.

Empower People to Lead

Ownership should come with trust and authority. Every employee is encouraged to speak up, make decisions and shape the direction of their work.

Take On the Hard Problems

We are drawn to important challenges without obvious answers. We experiment, measure, learn and keep moving when assumptions break.

Engineering That Earns Trust

Strong claims require strong evidence. We care about correctness, performance, reproducibility and systems that work under real production conditions.

Impact Over Hierarchy

The strongest idea can come from anyone. Contribution, initiative and outcomes matter more than titles.

Win as an Ecosystem

Breakthroughs are rarely created alone. We work generously with colleagues, open-source communities, customers and technology partners.