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.

Gamma Technologies

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