Job Title

Senior Generative AI Developer

Experience
5–8 Years of overall software development experience
3+ Years of hands-on experience in Generative AI / LLM application development

Role Overview

We are seeking a highly skilled Senior Generative AI Developer to design, develop, and deploy enterprise-grade Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. The ideal candidate should have solid expertise in Python, AI orchestration frameworks, cloud platforms, and contemporary AI application architecture. You will work closely with AI Architects, Data Scientists, Product Managers, and Full Stack Engineers to build scalable AI-powered solutions.

Requirements
Key Responsibilities

Generative AI Application Development
Design and develop production-grade GenAI applications using LLMs, RAG, and Agentic AI.
Build conversational AI assistants, enterprise chatbots, document intelligence platforms, and AI copilots.
Develop AI-powered workflows using LangChain, LangGraph, LlamaIndex, AutoGen,



CrewAI, or Google ADK.
Integrate OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or AWS Bedrock models.

RAG & Knowledge Management
Design Retrieval-Augmented Generation (RAG) pipelines.
Implement document ingestion, chunking, embedding generation, semantic search, and retrieval.
Build vector search solutions using Pinecone, FAISS, ChromaDB, Weaviate, pgvector, Qdrant, or Azure AI Search.
Optimize retrieval quality using hybrid search, reranking, and prompt engineering.

Agentic AI Development
Develop autonomous AI agents and multi-agent workflows.
Build tool-calling agents and workflow orchestration.
Implement Model Context Protocol (MCP) integrations.
Design memory management and agent planning strategies.

Backend & API Development
Develop scalable backend services using Python and FastAPI.
Build REST APIs and microservices for AI applications.
Integrate enterprise sys

📌 Gen Ai Developer Hyderabad
🏢 Truviq Systems
📍 Hyderabad