We are seeking a hands-on and qualified AI Agent Architect to design and deploy advanced Agentic AI systems comprising 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 exact, context-aware outputs by interacting with structured and unstructured data, APIs, and analytical engines.

Key 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 and Experience:
- 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.
- Comfortable operating independently with minimal supervision in a cross-functional environment.

Nice to Have:
- Exposure to industrial domains such as energy, manufacturing, or heavy engineering.
- Understanding of vector databases, knowledge graphs, and retrieval-augmented generation.
- Familiarity with Azure or AWS development env

📌 AI Apps Architect (Gurugram)
🏢 SteerLean
📍 Gurugram