Generative AI Engineer

Key Skills:

• GenAI applications using Gemini/Open-Source LLMs (Code Translation, Summarization, Text Extraction, SDLC Optimization)
• AI Agents, Chatbots, RAG, LangChain, LangGraph, LangSmith
• Vector Databases (PGVector, ChromaDB)
• LLM Evaluation (RAGAS, DeepEval, Pegasus)
• Python (mandatory), TypeScript & ReactJS (preferred)
• Prompt Engineering, Guardrails, Hallucination & PII Mitigation
• API Development, Microservices, API Gateway, Istio
• AI Security, DDoS/Denial-of-Wallet Prevention
• MLOps, ML Model Development & Deployment
• GCP Cloud and End-to-End Data Integration

Responsibilities: Develop and deploy GenAI/ML solutions, build AI agents and RAG systems, create scalable ML pipelines, evaluate model performance, implement AI governance and security controls, and collaborate with cross-functional teams to deliver business-focused AI solutions.