Gen AI Engineer

Job Summary
We are seeking a passionate and skilled Generative AI Engineer with 3+ years of experience in building LLM-based applications. The ideal candidate should have hands-on experience with multi-agent frameworks (LangGraph, CrewAI), agent orchestration, RAG pipelines, and Chain of Thought (CoT) reasoning to develop intelligent, context-aware systems.

Key Responsibilities

• Design and develop multi-agent LLM applications using frameworks like LangGraph and CrewAI.
• Build, configure, and orchestrate intelligent agents and tools for autonomous task execution.
• Implement RAG (Retrieval-Augmented Generation) and Agentic RAG pipelines to augment LLMs with external data sources.
• Develop and fine-tune prompts to support Chain of Thought and step-wise reasoning.
• Integrate vector databases (e.g., FAISS, Pinecone, Chroma) for context retrieval.
• Collaborate with frontend/backend teams to embed GenAI capabilities into products.

Required Skills

• Strong programming experience with Python.
• Hands-on with LangGraph, CrewAI, LangChain, or other agent frameworks.
• Solid understanding of LLMs, prompt engineering, and tool invocation patterns.
• Experience with RAG, vector databases, embeddings, and document chunking.
• Knowledge of Chain of Thought prompting, memory handling, and agent planning logic.
• Familiarity with OpenAI, Hugging Face, or other LLM APIs.

Nice to Have

• Experience deploying GenAI apps with FastAPI, Streamlit, or React.js.
• Understanding of semantic search, knowledge graphs, or graph databases.
• Exposure to MLOps, Docker, CI/CD pipelines, and cloud deployment (AWS/GCP/Azure).
• Awareness of ethical AI and data governance practices.