Senior Manager

Job description

- Job Description: Design and deliver enterprise-grade AI solutions using LLMs and modern AI frameworks - Build and optimize applications using **LangChain, LangGraph, and multi-agent architectures** - Drive end-to-end development lifecycle from problem definition to production deployment - Collaborate with cross-functional teams to translate business needs into AI solutions - Responsibilities: Develop and deploy LLM-based applications using RAG, embeddings, and prompt engineering - Build and manage **multi-agent systems and workflows** using LangGraph, MCP, or similar frameworks - Design scalable **AI pipelines** , APIs, and integrations for production use - Optimize performance, cost, and reliability of AI systems in production - Collaborate with product, engineering, and data teams to deliver business impact - Qualifications: 4–6 years of experience in AI/ML engineering or related roles - Strong **Python programming skills** (mandatory) - Experience with **LLMs, LangChain, LangGraph, and agent frameworks** - Hands-on knowledge of **multi-agent systems and MCP (or similar protocols)** - Understanding of **RAG, embeddings, prompt engineering, and LLM orchestration** - Experience in deploying AI solutions on **cloud platforms (Azure/AWS/GCP)** - Strong **communication skills** and ability to work with cross-functional teams - Experience with **MLOps practices, APIs, and production deployments**