We are seeking a highly skilled and forward-thinking Agentic AI Engineer to join our AI innovation team. This role focuses on designing and developing autonomous AI agents that exhibit goal-directed behavior, self-reflection, and adaptive learning capabilities. You will work at the intersection of machine learning, cognitive architectures, and software engineering to build systems that can operate independently in dynamic environments.
Experience : 3+ years of experience
Work Mode : Hybrid
Notice Period : 30 - 45 days
Key Responsibilities :
- Design and implement agentic AI systems capable of autonomous decision-making and task execution.
- Develop cognitive architectures that support planning, reasoning, memory, and self-improvement.
- Integrate reinforcement learning, large language models (LLMs), and symbolic reasoning to enable complex behaviors.
- Build scalable pipelines for training, evaluating, and deploying agentic models.
- Collaborate with cross-functional teams to identify use cases and deploy agentic AI solutions in real-world applications.
- Monitor and improve agent performance through continuous learning and feedback loops.
- Ensure ethical and safe deployment of autonomous systems, adhering to responsible AI principles.
Required Qualifications :
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.3+ years of experience in AI / ML engineering, with a focus on autonomous systems or intelligent agents.Experience with reinforcement learning, multi-agent systems, or cognitive architectures.Familiarity with LLMs, prompt engineering, and agent frameworks (e.g., LangChain, AutoGPT, OpenAI Functions).Strong understanding of decision theory, planning algorithms, and knowledge representation.Preferred Qualifications :
Experience with real-world deployment of autonomous agents in domains like finance, operations, customer service, or robotics.Knowledge of ethical AI practices and safety mechanisms for autonomous systems.Contributions to open-source agentic AI projects or publications in relevant conferences / journals.What We Offer :
Opportunity to work on cutting-edge AI technologies.Collaborative and inclusive work environment.Competitive compensation and benefits.Career growth and learning opportunities.Skills Required
reinforcement learning, decision theory , Knowledge Representation