AI Agent Engineer

Position Description :

We are seeking a highly skilled and innovative AI Agent Engineer to design, develop, and deploy intelligent agents capable of reasoning, planning, learning, and interacting with real or simulated environments. You will work closely with AI researchers, software engineers, and product teams to bring cutting-edge autonomous systems to life—leveraging advances in LLMs, reinforcement learning, knowledge graphs, and multi-agent systems.

Your future duties and responsibilities :

• Design and implement autonomous or semi-autonomous agents for various applications (e.g., task automation, virtual assistants, simulations, robotics, etc.)
• Integrate language models (LLMs), retrieval-augmented generation (RAG), and tool-use capabilities into agent architectures
• Develop reasoning, planning, and memory modules for agents (e.g., task decomposition, goal tracking, scratchpad reasoning)
• Build and maintain agent environments, workflows, and interfaces for interaction (CLI, GUI, API, etc.)
• Optimize agent performance for accuracy, latency, and resource efficiency
• Collaborate with cross-functional teams to deploy agents in production environments
• Stay current with the latest research in AI agents, reinforcement learning, cognitive architectures, and LLM tool use
• Contribute to technical documentation, experiments, and internal research initiatives

Required qualifications to be successful in this role :

Good-to-Have Skills :

Think out of the solution to create reusable Databricks components

Should have working experience in migration and modernization projects

Involve in due diligence phases to transform the requirements to implementation

Good communication skills

Skills :