🛠 Tech Stack

💼 About This Role

You'll join a seed-stage startup building the context infrastructure for autonomous AI agents, creating a semantic graph platform that gives agents real-time reasoning over enterprise data. You'll develop and deploy models for knowledge extraction, fine-tuning LLMs, and powering next-gen AI systems across major enterprise clients.

🎯 What You'll Do

• Build and use models for knowledge extraction from heterogeneous sources
• Develop methods to construct and evaluate AI Data Graphs
• Fine-tune LLMs with domain-specific context
• Collaborate with data infra engineers on platform development

📋 Requirements

• MS degree in CS or equivalent
• 3+ years experience in Machine Learning or Knowledge Extraction
• Experience fine-tuning language models (BERT, LLM, SLMs)
• Deployed and maintained ML, NLP or LLM models in production

✨ Nice to Have

• Familiarity with LLM ecosystem and fine-tuning/prompt-engineering best practices
• Experience with cloud ML and data infrastructure
• Experience with Docker, Kubernetes, Ray, vLLM