Description

Technical Skills:

· Solid understanding of Agentic AI concepts – autonomous agents, chaining, planning, and execution.

· Experience with frameworks like LangChain, AutoGPT, BabyAGI, or similar.

· Proficiency in Python and working with LLMs and APIs.

· Experience in integrating AI agents into ML pipelines or enterprise apps.

· Exposure to OpenAI function calling, prompt engineering, or LangGraph.

· Knowledge of CI/CD pipelines for AI workloads.

Key Responsibilities:

· Developing techniques that allow LLMs to reliably author complex, game-playing behaviors.

· Creatively combining insights from different publications and domains into solutions that meet the unique needs and capabilities of our customers.

· Extending our agent infrastructure to enable a wide variety of game mechanics, agent behaviors, and task definitions.

· Directly supporting external game developers, acting as the bridge between their specific needs and our product plans

Education

Any Gradute