Gamma Technologies is looking to develop and enhance its Intelligence Studio product family, specifically GenAI-enabled tools for GT-SUITE built on AWS Bedrock, to accelerate productivity and insight in the engineering simulation platform.
Requirements
- 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.
- Familiarity with AWS Bedrock or similar GenAI cloud platforms; basic cloud infrastructure (AWS/Azure/GCP).
- Strong analytical skills and the ability to deliver well-architected solutions independently and within teams.
Responsibilities
- 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.
Other
- Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning, or a related technical field.
- Currently authorized to work in the United States on a full-time basis.
- Flexible work options, with 60% of time required to be in the office.
- Research or publication experience in AI/ML is a plus.
- Strong communication and collaboration skills, with ability to work independently and within teams.
