Who are we:

Graviton Research Capital is one of the largest quantitative trading firms emerging out of APAC, with a robust footprint across global exchanges and a rapidly growing presence across Europe and the USA. We’re long-term focused, and deeply invested in building high-performance teams that operate at scale in some of the most competitive markets globally. You will be part of the team that builds and manages AI platforms.

What you’ll do:
Deploy and operate open-weight LLMs on our internal servers.
Build and run an internal LLM gateway/router between in-house and external models.
Size and manage internal infrastructure capacity across teams: scheduling, monitoring and utilization.
Tune serving for throughput and latency: KV cache management, batching, quantization and context-length trade-offs.
Evaluate new models and inference techniques as they appear, and advise on what to adopt.
Support fine-tuning of models on internal data and help evaluate the results.




Help teams use the platform with coding assistants, internal tools, retrieval over documentation.

What We’re Looking For:
7+ years of engineering experience, preferably in Python.
Hands-on experience deploying and serving LLMs on on-prem servers.
Experience with or strong working knowledge of LLM gateways/proxies (LiteLLM, OpenRouter or in-house).
Understanding of inference concepts: KV cache, batching, quantization, memory limits.
Working knowledge of fine-tuning and how tuned models are evaluated.
Actively follows AI developments and can discuss recent models and techniques.

Why Join Us
Work on challenging and advanced engineering problems
Flat, engineering-centric culture with peers from strong technical backgrounds
Rapid paced decision-making, high ownership, and long-term focus
Competitive compensation with strong growth prospects

📌 Ai Platform Engineer Gurugram
🏢 Graviton Research Capital
📍 Gurugram