Senior Agentic AI Engineer / Developer

Key Responsibilities:

• Design and develop autonomous, goal-directed agent systems using LLMs, planning algorithms, and reinforcement learning.
• Integrate memory, tools, and feedback mechanisms into agentic workflows for continuous learning and adaptability.
• Implement multi-agent systems for collaborative task execution and coordination.
• Build and maintain toolchains and frameworks for agent planning, reasoning, execution, and monitoring.
• Collaborate with researchers and engineers to prototype and deploy agentic solutions in production.
• Ensure safety, explainability, and reliability of agentic AI systems.
• Stay current with advancements in autonomous AI, cognitive architectures, and agent frameworks (e.g., LangGraph, AutoGPT, CrewAI).
• Write clean, testable, and efficient code with appropriate documentation and design patterns.

Required Qualifications:

• Bachelor s or Master s in Computer Science, Artificial Intelligence, or related field.
• 5 7 years of experience in AI/ML development, with at least 1 2 years focused on autonomous or agentic AI systems.
• Strong programming skills in Python (or similar), and experience with AI/ML frameworks such as PyTorch or TensorFlow.
• Experience with one or more of: LangChain, LangGraph, AutoGPT, ReAct, or similar agentic architectures.
• Solid understanding of LLMs, prompt engineering, and tool integration (APIs, plugins, retrieval-augmented generation).
• Familiarity with planning algorithms, reinforcement learning, or symbolic reasoning.
• Experience deploying scalable AI systems in cloud environments (AWS, Google Cloud Platform, or Azure)