Job Summary :

We are looking for an AI Engineer who can quickly build and ship AI-powered applications using LLMs, RAG, and AI agents.

The role focuses on hands-on development, fast experimentation (vibe coding), and building production-ready AI systems, not just research.

Key Responsibilities :

- Design and develop LLM-based AI applications

- Build RAG (Retrieval-Augmented Generation) systems for accurate AI responses

- Design and implement AI agents and multi-agent workflows

- Build AI copilots, chatbots, automation tools, and intelligent assistants

- Integrate AI systems with APIs, databases, and external tools

- Implement document ingestion, chunking, embedding, and retrieval pipelines

- Optimize prompts, retrieval quality, latency, and accuracy

- Rapidly prototype ideas and convert them into production-ready features

- Ensure reliability, security, and scalability of AI applications

- Collaborate with product, backend, and data teams

Desired Profile :

- Strong Python programming

- Hands-on experience with Pandas, NumPy, and ML libraries

- Strong experience working with Large Language Models (LLMs)

- Solid understanding of RAG architecture and workflows

- Experience with document ingestion, chunking, and embeddings

- Hands-on experience with vector databases

- Experience building AI agents and tool-based workflows

- Strong understanding of prompt engineering and prompt optimization

- Experience integrating AI with APIs, databases, and tools

- Ability to build production-ready AI services

- Experience with LangChain, CrewAI, AutoGen, or similar frameworks