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AI Engineer - GenAI and Agentic Systems

Gamma Technologies

Gamma Technologies

Software Engineering, Data Science
Athens, Greece
Posted on Oct 31, 2025

AI Engineer – GenAI and Agentic Systems

Who We Are

GT, a leading multi-physics CAE simulation software provider, develops a suite of integrated solutions that guides and accelerates the engineering transformation of today’s products in the transportation, power generation, and industrial equipment industries.

At Gamma Technologies, our people are the driving force behind our success who share our passion for authentic innovation, trusted partnerships, bold decisions and a relentless focus on customer success. We are looking for AI Engineer to support the development of our Intelligence Studio product family-GenAI-enabled tools for GT-SUITE built on AWS Bedrock.

What You Will Do

We are seeking a creative and motivated engineer to join our AI/ML development team whose contributions will directly power GT’s Intelligent Studio, our suite of GenAI-driven capabilities aimed at accelerating productivity and insight.

In this role, you will build intelligent features and autonomous workflows that enhance user experiences in GT-SUITE, our engineering simulation platform. You will work with large language models (LLMs), agentic frameworks, and orchestration tools to develop next-generation interfaces and intelligent assistants that support engineering workflows. This work will directly contribute to GT’s Intelligence Studio, a set of GenAI-powered capabilities designed to accelerate productivity and insight.

  • Architect and implement agentic AI systems using frameworks such as MCP, Claude Agent SDK, LangGraph, or Amazon Strands.
  • Build robust orchestration and automation workflows integrating multi-agent capabilities.
  • Develop and maintain pipelines for training, benchmarking, validating, and deploying LLMs and autonomous agents into production environments.
  • Conduct prompt engineering and fine-tuning of LLMs for domain-specific tasks.
  • Evaluate and iterate model performance based on metrics and user feedback.
  • Integrate AI capabilities with GT-SUITE and related engineering tools via APIs, SDKs, and microservices.
  • Ensure software quality through clean, maintainable, and optimized code, including support for efficient inference.
  • Stay current with emerging technologies in GenAI, LLM orchestration, and autonomous agents.

What You Will Bring

  • Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning, or a related technical field.
  • 3+ years of industry experience in NLP, LLMs, or GenAI solution development.
  • Proven experience delivering at least one end-to-end production deployment of an LLM or agentic AI system.
  • Strong expertise in GenAI orchestration strategies, multi-agent workflows, and high-performance model integration.
  • Hands-on experience with Python (primary), with working knowledge of C++ preferred for optimized inference.
  • Understanding of RAG pipelines, vector databases, and evaluation frameworks.
  • Strong analytical skills and the ability to deliver well-architected solutions independently and within teams.
  • Research or publication experience in AI/ML is a plus.
  • Familiarity with AWS Bedrock or similar GenAI cloud platforms; basic cloud infrastructure (AWS/Azure/GCP). [preferred but not required].
  • Authorization to work in Athens Greece, on a full-time basis; visa sponsorship is not available for this role.

What We Can Offer You

  • Dynamic and highly talented team of experts.
  • An inclusive and supportive work environment that celebrates diverse perspectives and fosters belonging for all.
  • The opportunity to bring in your own ideas, implement them, and make them accessible to a large customer base.
  • The opportunity to build a professional network in various branches of industry.
  • The primary work location will be our Athens, Greece We’ve adopted a hybrid work policy asking employees to report to the office 3 days per work week.
  • An attractive salary and additional company benefits.