AI Data Engineer

We are looking for a AI Developer

Location : Bangalore , Mumbai , Pune, Hyderabad, Noida

Experience : 4+ years

Notice Period : Immediate Joiners/ 15 Days

Role Overview

We are looking for an AI Developer to design, build, and scale LLM-powered chatbot systems for real-world enterprise use cases. The role involves working hands-on with Large Language Models (LLMs), retrieval-augmented generation (RAG), prompt engineering, and backend integration to deliver reliable, production-grade conversational AI solutions.

You will collaborate closely with product managers, data engineers, and frontend teams to translate business requirements into intelligent, scalable AI systems.

Key Responsibilities

• Design and develop LLM-based chatbots and conversational AI systems
• Implement RAG pipelines using vector databases for document and knowledge retrieval
• Perform prompt engineering and prompt optimization for accuracy, safety, and performance
• Integrate LLMs (OpenAI, Azure OpenAI, open-source models, etc.) with backend services
• Build and maintain chatbot APIs using Python (FastAPI / Flask) or equivalent frameworks
• Optimize model latency, cost, and reliability for production deployment
• Implement conversation memory, context management, and multi-turn dialogue handling
• Apply basic LLM evaluation techniques (hallucination detection, response quality checks)
• Work with frontend teams to integrate chat interfaces (web or mobile)
• Ensure security, access control, and compliance when handling enterprise data
• Stay updated with advancements in LLMs, tooling, and AI best practices

Required Skills & Qualifications

Technical Skills

• Strong proficiency in Python
• Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Llama, Mistral, etc.)
• Experience building chatbots or conversational AI systems
• Solid understanding of:
• Prompt engineering
• Token limits, context windows
• Hallucination issues and mitigation strategies
• Experience with vector databases (Pinecone, FAISS, Chroma, Weaviate, etc.)
• Familiarity with embeddings and semantic search
• Experience building APIs using FastAPI / Flask
• Understanding of REST APIs and microservices architecture
• Working knowledge of Git and collaborative development workflows