Key Responsibilities

- Design and develop AI agents using LLMs (GPT, Claude, Llama, Gemini, etc.)

- Build multi-agent systems for complex workflows

- Integrate AI agents with APIs, databases, and enterprise applications

- Develop Retrieval-Augmented Generation (RAG) solutions

- Implement memory, planning, reasoning, and tool-calling capabilities

- Create AI workflows using orchestration frameworks

- Optimize prompts, evaluate agent performance, and reduce hallucinations

- Deploy AI applications on cloud platforms

- Monitor, secure, and scale AI systems

Required Technical Skills Programming

- Python (Mandatory)

- JavaScript/TypeScript (Preferred)

- SQL

AI/ML

- Generative AI

- Large Language Models (LLMs)

- Prompt Engineering

- Fine-tuning basics

- Embeddings

- Vector Databases

Agent Frameworks

- LangChain

- LangGraph

- LlamaIndex

- CrewAI

- AutoGen

- Semantic Kernel

- OpenAI Agents SDK

RAG

- Document ingestion

- Chunking

- Embeddings

- Vector search

- Hybrid Search

- Knowledge Graphs

📌 AI Engineer (India)
🏢 Recognized
📍 India