yesterday
Agentic AI Agent
Mondia Group · Dubai, United Arab Emirates
WorkableApply on company site
Full Time
Onsite
Role overview
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
Requirements
- 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
Responsibilities
1Design and implement agentic architectures — multi-step planners, ReAct loops, tool-use orchestration, and memory systems
2Build reliable agent pipelines that handle ambiguity, recover from failures, and know when to escalate to humans
3Integrate LLMs (Claude, GPT, open-source models) with external tools, APIs, databases, and enterprise systems
4Develop evaluation frameworks to measure agent reliability, accuracy, cost, and latency in production
5Implement guardrails, safety layers, and human-in-the-loop controls for autonomous systems
6Optimize for real-world constraints: token costs, latency budgets, rate limits, and context window management
7Collaborate with product and engineering teams to identify high-value automation opportunities across the digital entertainment portfolio
8Contribute to internal tooling and frameworks that accelerate agent development across the organization
Requirements
15+ years of software engineering experience, with at least 1-2 years focused on LLM-based systems
2Hands-on experience building agentic systems — not just prompt engineering, but orchestration, tool use, and state management
3Strong proficiency in Python; familiarity with TypeScript is a plus
4Deep understanding of LLM APIs (Claude, OpenAI, etc.), including function calling, structured outputs, and streaming
5Experience with at least one agent framework (LangGraph, CrewAI, AutoGen, custom frameworks)
6Solid software engineering fundamentals: testing, CI/CD, observability, version control
7Experience with RAG pipelines, vector databases (Pinecone, Weaviate, pgvector), and retrieval systems
8Experience with MCP (Model Context Protocol) or similar tool-integration standards
Skills and tags
Mondia GroupAEReactTypeScriptPython
