Job Description
Key Responsibilities
- Build and ship AI features end-to-end (model → system → user experience)
- Design and iterate on prompts, tools, memory, and agent workflows
- Turn raw model outputs into structured, reliable, and predictable behaviors
- Debug issues across the full stack (model, orchestration, infra, UX)
- Optimize for latency, cost, and production reliability
- Develop lightweight evaluation frameworks to measure real-world performance
- Work closely with product and engineering to translate ambiguous problems into working systems
Tech Stack
- Python
- PyTorch / JAX
- LLMs (OpenAI-style APIs, LLaMA, Qwen, etc.)
- Inference/serving (e.g. vLLM)
- Vector DB
Ideal Experience
- Strong foundation in machine learning and modern neural network architectures.
- Hands-on experience with training, f...
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