AI ENGINEER - Role Overview
We are looking for a hands-on AI/ML Engineer to implement production-grade, multi-agent systems. You will translate high-level architectural designs into robust Python code, focusing on reliability, latency, and the deterministic execution of agentic workflows.
This role can be remote in Greece, Hungary or Poland, or hybrid in our Dublin office.
Key Responsibilities
- Develop Multi-Agent Workflows: Create agentic systems using frameworks like LangGraph and LangChain, implementing tool-calling, planning, and self-correction capabilities
- Build Production RAG Systems: Design and implement sophisticated retrieval-augmented generation pipelines with multi-modal capabilities, handling text, tables, and complex document structures. Integration of Graph Databases with LLM systems for entity extraction, relationship mapping, and structured retrieval.
- Production Deployment: Deploy and monitor AI systems using Docker, Kubernetes, and CI/CD pipelines, ensuring reliability, scalability, and cost-effectiveness
Technical Qualifications
Core Tech Stack
- Languages: Strong Python proficiency (asyncio, type hinting, Pydantic).
- AI Frameworks: Deep practical experience with LangChain, LangGraph, or LlamaIndex.
- Data Engineering: Experience with SQL and Vector Databases (Cosmos DB, Milvus, Chroma, or Pinecone, etc).
- API Development: Experience building FastAPI or Flask endpoints to expose agent workflows to the frontend.
Engineering Practices
- Containerization: Package AI applications and models in Docker containers with proper dependency management and optimization for production workloads
- CI/CD Pipeline Management: Build and maintain automated pipelines for testing, building, and deploying GenAI applications using Azure DevOps, GitHub Actions, or similar
- Kubernetes Orchestration: Deploy and manage containerized AI services on Kubernetes, handling autoscaling, resource allocation, and service mesh configuration
- Infrastructure as Code: Define and version control infrastructure configurations, deployment manifests, and cloud resources
- Version Control: Maintain clean Git workflows with proper branching strategies, meaningful commits, and thorough code reviews
- Monitoring & Observability: Implement logging, tracing, and metrics collection for production AI systems; set up alerts and dashboards
Top Skills
What We Do
At Xerxes Global, we believe in bold. We get excited about the BIG ideas – the ones that disrupt or break open an industry to change everything. We develop innovative new ways to find insights that shake business to its foundations, new approaches to management that dare to ask “what if you could?,” and new ways of presenting information to unite industries like never before.
Xerxes Global unites different business that share a common goal: to never stop Getting Better. By working together, our businesses share resources, experts and knowledge in order grow in Bolder directions than they could have on their own.
These are the companies that come together to make Xerxes Global. Individually, each of Xerxes Global’s companies are innovative industry leaders. Together, we’re gamechangers.
Our Portfolio of Brands:
EBM Software: Making it Easier to Be Better
Catalyst: FP&A Cloud
Diligent: Where M&A Happens
Blue Ops - Private Equity's Most Trusted Partner
ARC - Association for Retail & Consumer Professionals
Studio X - is a fully integrated video production suite located close to the heart of Minneapolis, MN. Servicing agencies, production companies & brands, Studio X works across all media channels & platforms to help our clients think bolder and be better.
