AI Engineer

About Neon One

At Neon One, we believe that technology is the key to building vibrant communities of generosity. As a leader in nonprofit software since 2004, we create intuitive solutions that help small and mid-sized nonprofits connect with people, build trust, and make good happen every day.

Our culture is powered by empathy, innovation, and a shared mission to empower organizations making a difference. We operate with a customer-first mindset, take pride in extraordinary results, and grow together by supporting each other and embracing bold new ideas. If you’re passionate about using your skills to drive real impact and want to thrive in a collaborative, fully remote environment, Neon One is the place for you.

The AI Engineer role is a foundational hire to help us scale our data and AI platform. You’ll work alongside our data team to deploy production-ready AI systems that power real-time insights for the nonprofit sector. Your work will focus on prompt engineering, Retrieval-Augmented Generation (RAG), and AI services integration — no UI development, just core AI building blocks that enable intelligent automation across our platform.

This is a role for someone who thrives in ambiguity, loves solving open-ended problems, and wants to shape the architecture of AI from the ground up.

Key Responsibilities

AI Platform Development

• Develop, test, and refine prompts across various LLMs to improve performance, reliability, and usability.

• Collaborate with product owners to share insights and influence AI use case design.

• Build Retrieval-Augmented Generation (RAG) systems leveraging structured and unstructured datasets.

System Integration & MLOps

• Contribute to machine learning training workflows and assist in integrating AI with core data systems (e.g., Snowflake, S3).

• Work closely with a third-party contractor to implement MLOps pipelines using cloud tooling.

• Support scalable deployment of AI services across core product areas.

Cloud Services & Tooling

• Use AWS AI services (or equivalents in GCP or Azure) to manage and deploy AI-powered solutions at scale.

• Help define templates and reusable components for future AI use cases.

  
  

Must-Haves

• 3+ years of experience in software engineering or machine learning, with at least 1–2 years of hands-on experience building and deploying AI systems or services.

• Deep expertise in prompt engineering and working with large language models (LLMs).

• Strong proficiency in Python and experience with modern AI/ML libraries such as Hugging Face Transformers, LangChain, PyTorch, or TensorFlow.

• Experience working with complex datasets and designing performant algorithms.

• Familiarity with cloud-based AI services (AWS preferred; GCP or Azure also considered).

• Comfortable operating independently in an unstructured environment and working cross-functionally.

  
  

Great-to-Haves

• Experience building or fine-tuning ML models in production environments.

• Hands-on experience with vector databases and RAG architectures.

• Working knowledge of MLOps principles, particularly with SageMaker or equivalent tools.

• Familiarity with Snowflake or similar cloud data platforms.

• Passion for nonprofit technology or prior experience in the social good sector.

  
  

Why Join Neon One?

At Neon One, our values are how we show up every day. We make good happen by putting empathy and passion at the center of our work, using technology to uplift mission-driven organizations. We stand for our customers, act with care and intention in every decision, own the solution, and grow together. We innovate fearlessly, always exploring new ways to support our community and each other.

Benefits and More

• Unlimited paid time off.

• Comprehensive health plans (medical, dental, vision).

• 401(k) with up to 3.5% company match.

• Paid parental leave after one year.

• Company-paid life insurance and long-term disability.

• Pet insurance.

• 11 company holidays.

• Paid sick time and a monthly paid volunteer day.

• Medical and dependent care flexible spending accounts.

• Fully remote workplace.

  
  

How We Hire

We use AI tools to support our recruitment process, including helping us organize applications and identify early matches based on role criteria. That said, every rejection decision is made by a human. We encourage candidates to apply authentically and avoid relying solely on AI-generated responses, especially during interviews.

This opportunity is offered through HighlightTA, the on-demand talent team supporting Neon One’s growth.

Connect with us and learn more:
Neon One on LinkedIn
HighlightTA on LinkedIn