Agentic AI engineer

Agentic AI Engineer

Experience:

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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.