$200,000 – $290,000
Listed on Together AI’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A backend engineer role focused on building and optimizing the inference platform that serves large language models and multimodal AI at scale. Ideal for someone who thrives on low-latency optimization, distributed systems design, and making cutting-edge ML research production-ready across thousands of GPUs.
Our summary, not Together AI’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 5+ years building large-scale distributed systems and API microservices
- Strong understanding of OS fundamentals: multi-threading, memory management, networking, storage performance
- Expert-level programming in Rust, Go, Python, or TypeScript
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent practical experience
Nice to have
- Knowledge of how modern LLMs and generative models are served in production
- Experience with open source inference tools like SGLang, vLLM, or NVIDIA Dynamo
- Kubernetes or container orchestration experience
- Familiarity with GPU software stacks (CUDA, Triton, NCCL) and HPC technologies (InfiniBand, NVLink, MPI)