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dombivli, India beBeeArtificialIntelligence Full time

Job Description:We are seeking a skilled professional to design and deploy advanced Agentic AI systems that comprise task-specific autonomous tools governed by a master agent to support complex technical decision-making in industrial environments.This is a high-impact individual contributor role for someone who can independently deliver full-stack intelligent agents that interpret natural language queries and generate precise, context-aware outputs by interacting with structured and unstructured data, APIs, and analytical engines.Responsibilities:Architect and develop a multi-agent AI framework where autonomous agents coordinate to solve domain-specific technical queries.Leverage LLMs, NLP, and tool-based reasoning to automate data extraction, analysis, and insight generation.Build agents capable of integrating with engineering tools, simulators, databases, and knowledge sources.Collaborate with domain experts to align agent behavior with technical expectations and constraints.Implement safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs.Continuously optimize prompting, agent orchestration, and performance under real-world conditions.Required Skills:Demonstrated expertise in building Agentic AI architectures using frameworks like LangChain, AutoGen, CrewAI, or custom stacks.Strong foundation in LLM-based NLP, prompt engineering, and context-aware reasoning.Advanced Python programming and experience deploying AI workflows in cloud or containerized environments.Ability to work with APIs, data models, and external toolchains across complex systems.Nice-to-Have Skills:Exposure to industrial domains such as energy, manufacturing, or heavy engineering.Understanding of vector databases, knowledge graphs, and retrieval-augmented generation.Certifications:Azure AI Engineer or Azure Data Engineer certification is a plus.Industry Experience:Oil and gas domain experience is a strong advantage.Agentic AI Architect:

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