Description

You will build and extend agent infrastructure to support complex game mechanics and agent behaviors.

Responsibilities

• Develop techniques that allow LLMs to reliably author complex, game-playing behaviors.
• Extend agent infrastructure to enable diverse game mechanics, agent behaviors, and task definitions.
• Combine insights from different publications and domains into solutions for customer needs.
• Support external game developers by bridging their requirements with product plans.
• Integrate AI agents into ML pipelines or enterprise applications.

Required Skills

• 5+ years of professional experience.
• Proficiency in Python and working with LLMs and APIs.
• Solid understanding of Agentic AI concepts including autonomous agents, chaining, planning, and execution.
• Hands-on experience with frameworks such as LangChain, AutoGPT, or BabyAGI.
• Practical experience with LangGraph and OpenAI function calling.
• Knowledge of prompt engineering.
• Experience with CI/CD pipelines for AI workloads.
• Any Graduate degree.

Preferred Skills

• Experience integrating AI agents into existing ML pipelines.

Key Skills

Education

Any Gradute