Generative AI Engineer (LLM Expert)

Location

Remote

Employment Type

Part Time / Contract

About BigRio

BigRio is a Boston-based, remote-first technology consulting firm specializing in advanced data and software solutions. We partner with forward-thinking organizations to deliver scalable, cost-effective, and innovative technology, with particular expertise in AI / ML, data engineering, and cloud-native applications. Our clients span healthcare, life sciences, government, and enterprise sectors, and we are known for our ability to tackle complex challenges with cutting-edge solutions.

About the Role

BigRio is seeking a highly skilled Generative AI Engineer with expert-level experience in LLMs , OpenAI APIs , prompt engineering , and retrieval-augmented generation (RAG) . This is a senior, hands-on role —ideal for someone who has already mastered these technologies and is ready to deliver production-ready solutions. This is not a learning-on-the-job position.

You will work with our internal team and clients to design, build, and optimize AI-powered applications with high-performance standards and robust infrastructure integration.

• Design and implement LLM-driven features using OpenAI API (including reasoning vs. non-reasoning models, model versioning, temperature settings, and best practices).
• Apply advanced prompt engineering and model tuning techniques to drive performance and accuracy.
• Build retrieval-augmented generation (RAG) systems using Langchain and ChromaDB .
• Develop interactive AI tools and UIs using Gradio .
• Ensure seamless SSO integration and secure access controls.
• Connect and automate data pipelines including Google Drive integration .
• Write clean, maintainable code in Python , and contribute to a collaborative, agile development environment.

Required Qualifications

Nice to Have

Previous experience in healthcare, biotech, or highly regulated domains.

Equal Opportunity Statement

BigRio is an equal-opportunity employer committed to creating a diverse and inclusive workplace. We value and promote diversity and prohibit discrimination based on various factors outlined by federal, state, or local laws. All qualified applicants will receive equal consideration for employment.

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