AI Engineer

Job Description Must Have Technical/Functional Skills: 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. Roles & 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. Good-to-Have Skills Databricks MLOps / LLMOps Enterprise AI Governance and Security AI Monitoring and Observability Enterprise AI Architecture and Strategy Salary Range: $64,000 - $115,000 a year Show more Show less