About this role
• 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
• 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
• 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