Job Description – Agentic AI & Generative AI Developer
Job Title: Agentic AI & Generative AI Developer
Experience: 7–15 Years
Employment Type: Full-Time
Job Summary
We are looking for an experienced Agentic AI & Generative AI Developer to design, develop, and deploy production-grade AI applications powered by Large Language Models (LLMs) and autonomous AI agents. The ideal candidate should have strong expertise in Python, Agentic AI frameworks, RAG architecture, LLM orchestration, cloud-native deployment, and AI platform engineering.
This role offers an chance to work on next-generation AI platforms supporting enterprise and telecom transformation projects by building intelligent AI assistants, multi-agent systems, and autonomous workflow automation solutions.
Key Responsibilities Agentic AI Development
- Design and develop autonomous AI agents capable of reasoning, planning, and executing complex workflows.
- Build multi-agent systems using LangChain, LangGraph, CrewAI, AutoGen, and similar frameworks.
- Implement Agent-to-Agent (A2A) collaboration, memory management,
and tool integration.
- Develop AI agents capable of integrating with enterprise APIs, databases, and business applications.
Generative AI Development
- Build enterprise applications using Large Language Models (GPT, Claude, Llama, Gemini, etc.).
- Develop Retrieval Augmented Generation (RAG) pipelines using embeddings and vector databases.
- Implement prompt engineering, function calling, tool usage, and fine-tuning strategies.
- Develop conversational AI solutions, AI Assistants, and enterprise Copilots.
AI Platform Engineering
- Design scalable AI architectures using microservices and cloud-native technologies.
- Integrate AI applications with APIs, enterprise platforms, and cloud services.
- Build end-to-end AI pipelines from data ingestion to deployment.
- Optimize inference performance, scalability, observability, and monitoring.
Cloud & DevOps
- Deploy AI applications on AWS, Azure
📌 Agentic AI and Gen AI Developer (Mumbai)
🏢 Neev
📍 Mumbai