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Generative AI Engineer (LLM Expert)

Saviance

Boston (MA)

Remote

USD 129,000 - 224,000

Part time

11 days ago

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Job summary

An innovative technology consulting firm is seeking a Generative AI Engineer to leverage expertise in LLMs and OpenAI APIs. This role involves designing and implementing AI-driven features, optimizing performance, and developing interactive tools. With a focus on advanced data solutions, you'll collaborate with a talented team to create scalable applications that meet high-performance standards. If you're passionate about AI and ready to tackle complex challenges in a dynamic environment, this opportunity is perfect for you. Join a forward-thinking organization that values creativity and innovation in the tech landscape.

Qualifications

  • 3-5+ years of experience in AI/ML development with LLMs.
  • Expert-level proficiency in OpenAI API and prompt engineering.
  • Strong Python development skills and experience with Docker.

Responsibilities

  • Design and implement LLM-driven features using OpenAI API.
  • Build retrieval-augmented generation (RAG) systems.
  • Develop interactive AI tools and ensure secure access controls.

Skills

Generative AI
LLMs
OpenAI API
Prompt Engineering
Python
Problem Solving

Education

Bachelor's Degree in Computer Science
Master's Degree in AI/ML

Tools

Langchain
ChromaDB
Gradio
Docker
Google Drive API

Job description

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Job Title: 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.

Key Responsibilities

  • 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.
  • Implement Dockerized environments for scalable deployments.
  • 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

  • 3-5+ years of experience in AI/ML development, with proven, expert-level hands-on work in LLMs and Generative AI.
  • Mastery of the OpenAI API, including reasoning capabilities, temperature control, and fine-tuning parameters.
  • Deep experience with prompt engineering and AI response optimization.
  • Strong Python development skills.
  • Production-level experience with Langchain, ChromaDB, and RAG architectures.
  • Proficiency with Gradio for front-end prototyping.
  • Experience with Docker, SSO, and cloud API integrations (e.g., Google Drive).
  • Strong problem-solving and communication skills.
  • Comfortable working independently and collaborating across time zones.

Nice to Have

  • Experience with other vector databases and frameworks.
  • Familiarity with MLOps or AI infrastructure tooling.

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

Seniority level
  • Seniority level
    Entry level
Employment type
  • Employment type
    Contract
Job function
  • Industries
    IT Services and IT Consulting

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