Key Responsibilities

• Lead architecture and solution design for Agentic AI applications
• Build and oversee development of AI agents and multi-agent systems using LangGraph and LangChain
• Design and optimize AI workflows across multiple LLMs (GPT, Claude, Llama, etc.)
• Guide engineering teams and establish development best practices
• Develop enterprise integrations, APIs, and event-driven AI services
• Drive deployment, operationalization, and scalability of AI applications
• Coordinate with platform, security, data, and product teams to ensure successful delivery
• Leverage AI-assisted development tools such as Claude Code and Codex to accelerate engineering productivity

Requirements

• 5+ years of experience in AI/ML
• 1+ years of experience building Agentic AI solutions
• Strong expertise in Python and modern software engineering practices
• Hands-on experience with LangGraph, LangChain, LLMs, and prompt engineering
• Experience architecting and deploying enterprise AI applications
• Familiarity with Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, or similar platforms
• Strong understanding of APIs, event-driven architectures, CI/CD, and cloud deployment
• Proven ability to lead technical initiatives and drive solution delivery
• Excellent communication, stakeholder management, and problem-solving skills
• Experience with enterprise data integration and AI application deployment

Skills Required