🛠 Tech Stack

💼 About This Role

You'll design, develop, and deploy advanced AI/ML and RAG-based solutions for unstructured data processing. Your work will directly impact production-ready AI systems using state-of-the-art LLMs and vector databases. You'll collaborate with cross-functional teams to build agentic RAG workflows.

🎯 What You'll Do

• Design and deploy AI/ML models for RAG systems
• Build data pipelines for unstructured content processing
• Optimize semantic search using embeddings and vector DBs
• Develop RESTful APIs for AI services

📋 Requirements

• Python proficiency with NumPy and Pandas
• LangChain and Hugging Face Transformers experience
• FastAPI and Uvicorn for API development
• pgVector and vector database knowledge

✨ Nice to Have

• Experience with agentic AI systems
• Familiarity with scalable production AI architectures

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Team Interview· 45 min