senior AI Engineer

• 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