at Gamma Technologies in Westmont, Illinois, United States
Job Description
- 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.
