ML/AI Research Engineer — Agentic AI Lab (Founding Team)

About the role

Founding-team AI research engineering role building enterprise agent models across fine-tuning, RAG, knowledge graphs, reinforcement learning, evaluation, and deployment; seeks deep hands-on LLM training and systems experience.

Requirements

• Deep experience fine-tuning open-source LLMs
• Experience with RAG and knowledge graph integrations
• Experience training or customizing agent frameworks
• Experience with RLHF, DPO, or PPO pipelines
• Experience optimizing retrieval, reranking, inference latency, and GPU use
• Strong Python and comfort in an early-stage team

What you'll do

• Fine-tune and evaluate open-source LLMs
• Build RAG pipelines with vector databases and knowledge graphs
• Train agent architectures and embedding-based memory
• Create evaluation and observability tools
• Optimize inference and GPU utilization

Where this was posted

• LinkedIn

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