AI/LLM Eng
Indexed description
Very strong Prompt engineering skilla, function calling, RAG architectures
Agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen or similar)
Vector databases (pgvector, Pinecone, Chroma, etc.)
Python backend development (FastAPI/Flask)
API integrations and workflow orchestration
Deep Learning & Machine Learning (model training, fine-tuning, evaluation PyTorch/TensorFlow)
Good To Have
Cloud (Azure/AWS/GCP), Docker/Kubernetes
Real-time systems, document AI, voice AI
Profile
Strong backend engineer with hands-on AI, GenAI/LLM production experience (not just research
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