Opportunity Description
Job Title:
GenAI / LLM Engineer
Key Skills:
LLM frameworks: LangChain, LangGraph, LlamaIndex, AWS Bedrock
Vector DBs: Pinecone, FAISS, OpenSearch, Kendra
Python (mandatory), SQL/NoSQL (Postgres, DynamoDB, MongoDB), Graph DB
ML/DL: Scikit-learn, TensorFlow/PyTorch
Embeddings: BERT, Sentence Transformers
Web frameworks: Flask, FastAPI (plus Streamlit/Gradio for UI)
Cloud: AWS (preferred), Azure
Responsibilities:
Build and optimize LLM solutions using RAG, prompt engineering, fine-tuning
Develop AI agents & automated workflows
Integrate vector databases for semantic search
Build and deploy chatbots & conversational AI systems
Apply ML/DL models for business use cases
Integrate APIs and collaborate to deliver production-ready AI solutions
GenAI / LLM Engineer
Key Skills:
LLM frameworks: LangChain, LangGraph, LlamaIndex, AWS Bedrock
Vector DBs: Pinecone, FAISS, OpenSearch, Kendra
Python (mandatory), SQL/NoSQL (Postgres, DynamoDB, MongoDB), Graph DB
ML/DL: Scikit-learn, TensorFlow/PyTorch
Embeddings: BERT, Sentence Transformers
Web frameworks: Flask, FastAPI (plus Streamlit/Gradio for UI)
Cloud: AWS (preferred), Azure
Responsibilities:
Build and optimize LLM solutions using RAG, prompt engineering, fine-tuning
Develop AI agents & automated workflows
Integrate vector databases for semantic search
Build and deploy chatbots & conversational AI systems
Apply ML/DL models for business use cases
Integrate APIs and collaborate to deliver production-ready AI solutions
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