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 (Pune)
🏢 Zorba Consulting India
📍 Pune