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 systemsBuild 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 systemsDevelop evaluation frameworks to measure agent reliability, accuracy, cost, and latency in productionImplement guardrails, safety layers, and human-in-the-loop controls for autonomous systemsOptimize for real-world constraints: token costs, latency budgets, rate limits, and context window managementCollaborate with product and engineering teams to identify high-value automation opportunities across the digital entertainment portfolioContribute to internal tooling and frameworks that accelerate agent development across the organizationRequirements5+ 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.), including function calling, structured outputs, and streaming Experience with at least one agent framework (LangGraph, CrewAI, AutoGen, custom frameworks)Solid software engineering fundamentals: testing, CI/CD, observability, version controlExperience with RAG pipelines, vector databases (Pinecone, Weaviate, pgvector), and retrieval systemsExperience with MCP (Model Context Protocol) or similar tool-integration standards