Agentic AI Engineer

Role Summary:

Design, develop, and maintain intelligent AI agents that can operate autonomously to perform complex tasks, make decisions, and learn from their environment. Collaborate with cross-functional teams to integrate agentic AI models into products or services, ensuring safety, reliability, and scalability.

Key Responsibilities:

• Develop AI agents capable of autonomous decision-making and goal-directed behavior using reinforcement learning, planning algorithms, and multi-agent systems.
• Design architectures that allow AI systems to perceive, reason, plan, and act independently in dynamic environments.
• Implement algorithms for self-supervised learning, continual learning, and adaptive behaviors.
• Test, evaluate, and optimize agent performance across diverse scenarios to ensure robustness and safety.
• Collaborate with data scientists, software engineers, and product managers to integrate AI agents into applications.
• Monitor AI agents’ behaviors post-deployment to detect and mitigate unintended consequences or biases.
• Stay updated with cutting-edge research in agentic AI, autonomous systems, and AI ethics.
• Contribute to documentation, knowledge sharing, and training on agentic AI technologies within the organization.

Required Skills and Experience:

• Strong background in AI/ML, especially reinforcement learning, planning, and decision-making algorithms.
• Experience with frameworks such as TensorFlow, PyTorch, OpenAI Gym, or similar platforms for training agentic AI.
• Proficiency in programming languages such as Python, C++, or Java.
• Understanding of safety, fairness, and ethical considerations in autonomous AI systems.
• Ability to work in agile, interdisciplinary teams.
• Experience with cloud services and scalable AI deployment is a plus.