AI Software Engineer

📋 Description

• Architect and lead multi-agent LLM systems with LangGraph/LangChain/Promptfoo.
• Build RAG pipelines with hybrid vector search (dense+keyword) using LanceDB/Pinecone.
• Define workflows for summarization, routing, retrieval, and response with low latency.
• Develop RAG evaluation frameworks: precision/recall, latency, and hallucination checks.
• Integrate GPT-4o, PaLM 2, LLaMA, Mistral for task-specific Q&A.
• Plan agent orchestration and robust fallback in production.

🎯 Requirements

• 5+ years as an AI/ML Engineer
• LLMs & GenAI: GPT-4o, PaLM 2, LangGraph, LangChain, Promptfoo
• RAG Frameworks: LanceDB, Pinecone, ElasticSearch, FAISS
• Agentic AI: LangGraph multi-agent orchestration and routing
• Fine-Tuning: BERT/domain transformers tuning, evaluation
• Infra & MLOps: FastAPI, Docker, Kubernetes (EKS/AKS), Redis Streams