Job Title: Agentic AI Developer
Location: 32B-33A, Tower B1, Spaze iTech Park, Sector 49, Gurugram
Experience: 2–5 Years
Employment Type: Full-Time | On-site
Job Summary:
We are looking for an Agentic AI Developer to design and build autonomous, production-ready AI agents and workflows. The role involves developing multi-agent systems, RAG-based applications, and edge-deployable LLM solutions using modern agentic AI frameworks.
Key Responsibilities:
Build and manage agentic AI systems and multi-agent workflows using LangChain, LangGraph, CrewAI, and AutoGen.
Develop RAG-based systems integrating LLMs with vector databases and enterprise data.
Fine-tune LLMs and optimize performance using quantization and model compression techniques.
Deploy and optimize edge LLM solutions for low-latency and cost-efficient inference.
Integrate LLMs with APIs, tools, and automation platforms such as n8n.
Key Requirements:
2–6 years of experience in AI/ML, backend, or intelligent automation.
Strong hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, and n8n.
Expertise in RAG architectures, vector databases (Pinecone, FAISS, Chroma), and embeddings.
Experience in LLM fine-tuning, quantization, and edge deployment.
Proficiency in Python (Node.js is a plus).
Strong understanding of prompt engineering and agent orchestration.
Good to Have:
Experience with open-source LLMs (LLaMA, Mistral, Qwen, etc.).
Familiarity with MLOps / LLMOps pipelines and production deployments.
Experience building AI products or AI agents for real-world business use cases.
Education:
Bachelor’s degree in Computer Science, AI/ML, or a related field.