ML/AI Research Engineer — Agentic AI Lab (Founding Team)
ML/AI Research Engineer — Agentic AI Lab (Founding Team)
ML/AI Research Engineer — Agentic AI Lab (Founding Team)
Fabrion
The ML/AI Research Engineer role at Agentic AI Lab involves designing and optimizing AI models for enterprise applications, focusing on agent-native architectures and retrieval-augmented generation. The position is part of a founding team backed by 8VC, aiming to address critical infrastructure challenges in AI. Candidates will engage in full-cycle machine learning tasks, from data curation to deployment, with a strong emphasis on performance evaluation and optimization.
Qualification
- Deep experience fine-tuning open-source LLMs using HuggingFace Transformers, DeepSpeed, vLLM, FSDP, LoRA/QLoRA
- Experience building enterprise-grade RAG pipelines integrated with real-time or contextual data
- Familiar with LangChain, LangGraph, LlamaIndex, and open-source vector DBs
- Experience grounding models with structured and unstructured data
- Experience training or customizing agent frameworks with multi-step reasoning and memory
Responsibility
- Fine-tune and evaluate open-source LLMs for enterprise use cases with structured and unstructured data
- Build and optimize RAG pipelines using LangChain, LangGraph, LlamaIndex, or Dust
- Train agent architectures using enterprise task data
- Develop embedding-based memory and retrieval chains with token-efficient chunking strategies
- Create reinforcement learning pipelines to optimize agent behaviors
- Establish scalable evaluation harnesses for LLM and agent performance
- Contribute to model observability, drift detection, error classification, and alignment
- Optimize inference latency and GPU resource utilization across cloud and on-prem environments
