research and experimentation with new AI paradigms and technologies to continuously improve agent performance and capabilities. Collaborate with product managers, data scientists, and other engineering teams to define agent requirements and deliver impactful solutions. Monitor, evaluate, and fine-tune deployed AI agents, ensuring high accuracy, reliability, and scalability. Contribute … learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques. Experience with agent-based modeling, reinforcement learning, multi-agent systems, or cognitive architectures. Solid understanding of software engineering principles, including design patterns, data structures, and algorithms. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices is a plus. ...