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
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.), 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 control
Experience with RAG pipelines, vector databases (Pinecone, Weaviate, pgvector), and retrieval systems
Experience with MCP (Model Context Protocol) or similar tool-integration standards

Mondia Group

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Agentic AI Agent