AI Engineer GenAI and Agentic Systems

Gamma Technologies

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  • 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**
  • Bachelors or Masters 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.

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