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 setting.

📌 AI Agent Architect - Industrial AI Systems (Bengaluru)
🏢 Rekrut India
📍 Bengaluru