Forward Deployed Engineer (Inference & Post-Training) - Mandarin Speaking
Together AI · Singapore · Remote
CHECKED 1H AGO
Infrastructureremotesenior
At a glance
Highlights
- Partner hands-on with strategic AI teams to scale production inference.
- Guide tailored optimization efforts to harden core AI platform.
- Drive early feature adoption and influence model roadmap from field.
What they offer
- Startup equity
- Health insurance
Ideal candidate
Hands-on customer-focused engineer who thrives partnering with strategic AI teams to scale production systems. Mandarin-speaking problem-solver passionate about optimization and turning complex POCs into successful adoption.
Requirements
- 5+ years in technical role focused on inference systems, open-source LLM deployment, or post-training workflows
- Expert hands-on experience with inference engines such as vLLM, TensorRT-LLM, SGLang, including performance diagnosis
- Deep knowledge of KV cache tuning, speculative decoding, tensor/pipeline parallelism, and quantization
- Hands-on experience with LoRA, SFT, DPO, RLHF, and GRPO pipelines and system design advice
- Broad knowledge of state-of-the-art open-source models and model selection judgment
- Strong Python skills and comfort working in production environments
- Mandarin speaking
- Must be permanent resident or citizen of Singapore
- remote policy
- Flexibility in terms of remote work
Lab profile
About Together AI
AI-native cloud for training and inference on large-scale GPU infrastructure for AI apps and agents.
What they build
- AI-native cloud platform
- GPU clusters for training and inference
- Platform for AI applications and agents
Known for
- Operating large-scale GPU fleets
- Automated infrastructure at massive scale
- Multi-site data center deployment
Key facts
- Over 1M developers
- Operates one of the world's largest GPU fleets
- Infrastructure managing tens of thousands of GPUs