AI Engineer

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Our client is a leader in personalized customer experiences. The company is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper-personalization at scale, marketing automation, and CRM. With the brain of a consultancy, the heart of an agency, and the power of technology and data, they work with some of the world’s most admired brands on their transformation journey to becoming truly customer-centric. Together, they are 1000+ technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

Key Responsibilities

• Design and implement features within AI agents and multi-agent systems, including the infrastructure to deploy, orchestrate, and scale them across cloud environments.
• Apply engineering best practice (version control, testing, code review, documentation), and partner with your Product Manager to build eval harnesses that prove real client value.
• Scope moderately ambiguous problems into a clear plan with support from AI Architects and Product Managers.
• Stay closely tuned to new LLMs, agentic frameworks, and architectural patterns, and bring relevant developments into your own work quickly.
• Explain your work clearly to technical and non-technical colleagues, and collaborate with AI Consultants, AI Architects and Product Managers on client solutions.
• Review others’ code, identify opportunities to reuse existing components, and contribute to practice deep dives.

Required Qualifications

• Strong Python skills, with experience building backend systems, data pipelines, or ML components.
• Solid understanding of software engineering best practice (version control, testing, CI/CD).
• Experience developing and deploying cloud-based applications
• Familiarity with containerization technologies such as Docker.
• Working knowledge of modern agentic technologies (e.g., LangChain/LangGraph, CrewAI, AutoGen) and protocols (e.g., MCP, A2A).
• Strong communication and collaboration skills across cross-functional, global teams.

Nice-to-Have Skills

• A proven track record of building AI agents with tool-use capabilities in production.
• Experience with vector databases, RAG systems, and embedding-based architectures.
• Exposure to Kubernetes or other container orchestration technologies.
• An interest in enterprise AI governance, safety, alignment, or verification workflows.

What They Offer

• Work at the cutting edge of agentic AI, solving real-world problems for large Global clients like Coke, IKEA, Volvo, DELL, etc.
• Work next to top-tier experts and thought leaders in the AI space. Be part of a dynamic and innovative team at the forefront of AI research and development.
• Be part of a well-established global HUB in Athens and help grow your international exposure and career with many opportunities across their offices around the world.
• Make an impact—your work will directly shape the future of AI-driven collaboration and automation.
• Grow your expertise in one of AI’s fastest-growing fields, with opportunities for professional development.