Agentic AI Agent

Be part of shaping how AI transforms how we work. You ll scout emerging AI technologies, pilot new tools, and coordinate cross-departmental adoption projects. A key focus will be managing and enhancing our internal Knowledge Hub ensuring information flows seamlessly and employees can leverage AI to its fullest. Design and implement agentic architectures multi-step planners, ReAct loops, tool-use orchestration, and memory systems Build reliable agent pipelines that handle ambiguity, recover from failures, and know when to escalate to humans Integrate LLMs (Claude, GPT, open-source models) with external tools, APIs, databases, and enterprise systems Develop evaluation frameworks to measure agent reliability, accuracy, cost, and latency in production Implement guardrails, safety layers, and human-in-the-loop controls for autonomous systems Optimize for real-world constraints: token costs, latency budgets, rate limits, and context window management Collaborate with product and engineering teams to identify high-value automation opportunities across the digital entertainment portfolio Contribute to internal tooling and frameworks that accelerate agent development across the organization Desired Candidate Profile 5+ years of software engineering experience, with at least 1-2 years focused on LLM-based systems Hands-on experience building agentic systems not just prompt engineering, but orchestration, tool use, and state management Strong proficiency in Python; familiarity with TypeScript is a plus Deep understanding of LLM APIs (Claude, OpenAI, etc.