We're looking for an experienced Agentic AI Engineer who has built and deployed production-grade AI applications using modern LLM frameworks. You'll design intelligent multi-agent systems, build scalable AI services, and work on cutting-edge Generative AI products.

Responsibilities
Design, develop, and deploy production-grade agentic AI applications.
Build autonomous multi-agent workflows using LangGraph, LangChain, MCP, or similar frameworks.
Develop RAG pipelines with vector databases for enterprise-scale AI applications.
Design scalable Python/FastAPI backend services for AI platforms.
Integrate OpenAI, Anthropic, Gemini, or open-source LLMs into production systems.
Build tool-calling agents, orchestration pipelines, and structured AI workflows.
Implement prompt engineering, evaluation frameworks, guardrails, and observability.
Participate in architecture discussions, technical design reviews, and proof-of-concept initiatives.
Mentor engineers, conduct code reviews, and drive engineering best practices.
Collaborate with Product, Engineering,



and Business teams to deliver AI solutions.

Requirements
Solid system design and architecture skills.
Ability to independently own AI projects from design to production.
Experience leading technical discussions and mentoring engineers.
Excellent communication and stakeholder management skills.
7+ years of software development experience.
Solid Python programming skills.
Hands-on experience with LangChain and LangGraph.
Experience building Agentic AI or Multi-Agent Systems.
Robust understanding of RAG, embeddings, vector databases (Pinecone, Qdrant, ChromaDB, Weaviate, FAISS, etc. ).
Experience with FastAPI, REST APIs, and microservices.
Hands-on experience with OpenAI, Anthropic, Gemini, or similar LLMs.
Experience with MCP (Model Context Protocol), tool calling, or AI orchestration frameworks.
Good understanding of prompt engineering and LLM evaluation.
Experience with clou

📌 Solutions Architect Anupgarh (India)
🏢 Alion
📍 India