Key Responsibilities

• Design and build end-to-end AI agents and autonomous workflows for Oil and Gas domain use cases
• Develop and maintain RAG pipelines and LangGraph-based agentic systems
• Deploy and monitor LLMs in production environments
• Build and integrate REST APIs to support AI-driven workflows
• Leverage Azure AI Foundry, Azure Cloud, and Databricks for AI solutions
• Apply prompt engineering techniques to optimize LLM interactions
• Collaborate cross-functionally with domain experts and engineering teams

Requirements

• 4+ years of experience in Software Engineering
• 2+ years of experience in AI/ML and Agentic AI
• Proficiency in Python, REST APIs, and Prompt Engineering
• Hands-on experience with RAG Pipelines and LangGraph (or equivalent frameworks)
• Experience with LLM production deployment and monitoring
• Proficiency with Azure AI Foundry, Azure Cloud, and Databricks
• Oil and Gas domain background is mandatory
• Experience with cross-functional collaboration
• Master's degree in a STEM field (preferred)

Skills Required