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

As part of the Agentic Transformation Group, you will be:

• Developing, deploying, and optimizing intelligent AI agents that meet project objectives while adhering to all business and technical constraints.
• Developing the end-to-end infrastructure needed to deploy, orchestrate, and scale multi-agent crews across both cloud and on-prem environments.
• Staying up to date with AI advancements, integrating new techniques into their practice, and creating new capabilities when the state-of-the-art falls short.
• Developing methods and tools for continuously testing their agents and ensuring they perform efficiently, remain aligned, and maintain robustness under diverse conditions.
• Collaborating with fellow engineers, data scientists, business architects, and value engineers to design and implement solutions that meet their clients’ needs.

Required Qualifications

Our client is looking for someone with a proactive, can-do attitude who is ready to tackle complex, multi-component system architectures.

• Strong programming skills in Python, with a proven track record of building production-grade backend systems, data pipelines, or machine learning architectures.
• Solid understanding of software engineering best practices, including version control, testing, CI/CD, and system observability.
• Experience developing, deploying, and maintaining cloud-based applications.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Ability to translate complex business requirements into elegant technical designs for multi-component systems.
• Strong communication and collaboration skills, working effectively with cross-functional global teams.

Nice-to-Have Skills

• Familiarity with, or hands-on experience using, open-weight and closed LLMs.
• Exposure to modern agentic technologies (e.g., LangChain/LangGraph, CrewAI, AutoGen) and agentic protocols (e.g., MCP, A2A).
• Experience with vector databases, retrieval-augmented generation (RAG) systems, and embedding-based architectures.
• An interest in enterprise AI governance, safety, alignment, verification workflows, or reinforcement learning.
• Bonus: Any proven track record of building AI agents with tool-use capabilities in production is a massive plus.

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.