AI Engineer

We are hiring interns who are strong in any one of these four areas. You do not need all four. Pick your strongest layer and apply.
Responsibilities:
Build and ship working systems, not slide decks.
Own your work end-to-end: design, build, benchmark, document.
Work directly with the founders and senior engineers.
Go deep in your layer while getting exposure to the other three.
Requirements:
Proof of good work in your chosen area. That could be:
A project you built and can demo.
Open-source contributions.
Kaggle, GSoC, hackathons, or a solid technical write-up.
Expected skills in any one field:
LLMOps: serving open-weight models with vLLM or SGLang, GPU infrastructure, quantization, Kubernetes deployment, latency, and cost benchmarking.
Enterprise RAG: ingestion and chunking pipelines, embeddings, hybrid retrieval and reranking, and retrieval quality evals.
Model fine-tuning: dataset curation, LoRA/QLoRA and full fine-tunes, instruction tuning, and eval design.
AI agents and workflows: multi-step agents, tool use, orchestration, memory, guardrails, and workflow automation.

Experience
0-0 yrs

Employment type
Internship