TA
$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
This role involves building and optimizing systems that allow developers to fine-tune and deploy open-source AI models efficiently, working across the full pipeline from training through production inference. You'll collaborate on core infrastructure for customization services, focusing on inference optimization and integration between post-training and serving platforms.
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
- 2+ years building and deploying ML-based services in production
- Hands-on experience with modern inference engines such as SGLang, vLLM, or TensorRT-LLM
- Familiarity with modern fine-tuning methods for LLMs and AI models
- Strong software engineering background in Python or Go
- Awareness of current advances and trends in machine learning
Nice to have
- Experience serving low-precision models or managing multiple LoRA adapters in one instance
- Experience optimizing RL training workloads
- Experience developing CUDA, Triton, or CuTE DSL kernels for inference
- Experience building large-scale, high-load production systems
- Contributions to or maintenance of open-source ML projects
- Experience managing ML workloads on Kubernetes