Application Guide
How to Apply for AI Engineer
at Highlightta
🏢 About Highlightta
Neon One (formerly Highlightta) is unique as a mission-driven technology company focused exclusively on empowering small to mid-sized nonprofits since 2004. They combine deep nonprofit sector expertise with a customer-first, empathetic culture to build software that helps organizations build trust and drive generosity. Working here offers the chance to apply cutting-edge AI directly to social good, with real impact on thousands of nonprofits.
About This Role
As a foundational AI Engineer, you'll build and scale Neon One's AI platform, focusing on implementing Agentic Workflows and Large Language Models (LLMs) using rich nonprofit datasets. You'll bridge the gap between model development and product integration, working closely with Data Scientists, Data Engineers, and development teams to create intelligent systems that directly impact nonprofit tools. This role is central to their transformative journey to harness AI for the social good sector.
💡 A Day in the Life
A typical day involves collaborating with the Data Scientist on model requirements, implementing LLM features using nonprofit data, and working with engineering teams to integrate AI capabilities into Neon One's products. You might design Agentic Workflows for donor engagement tools, optimize model performance, and participate in remote team syncs to align AI development with product roadmaps and nonprofit needs.
🚀 Application Tools
🎯 Who Highlightta Is Looking For
- Has hands-on experience implementing Agentic Workflows and LLMs in production environments, not just theoretical knowledge
- Can bridge the gap between data science and engineering, with experience deploying AI models into scalable products
- Demonstrates passion for social impact and nonprofit sector challenges, not just technical prowess
- Thrives in collaborative, fully remote environments and can work effectively with cross-functional teams
📝 Tips for Applying to Highlightta
Explicitly mention experience with Agentic Workflows and LLMs in your resume, not just general AI/ML
Highlight any previous work with nonprofit data, social impact projects, or mission-driven organizations
Show how you've bridged data science and engineering in past roles - describe specific model deployment projects
Research Neon One's specific products (like Fundraising, Donor Management) and suggest how AI could enhance them
Emphasize remote collaboration experience and familiarity with tools common in distributed tech teams
✉️ What to Emphasize in Your Cover Letter
['Your specific experience with Agentic Workflows and LLM implementation in production systems', "Why you're passionate about applying AI to nonprofit challenges and social impact", 'Examples of successfully bridging data science and engineering teams to deploy AI solutions', 'How your remote work experience prepares you for their collaborative distributed environment']
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Neon One's specific software products and how nonprofits currently use them
- → The company's history and evolution from 2004 to present (including the rebrand from Highlightta)
- → Current challenges in the nonprofit technology sector that AI could address
- → Their company values around empathy, innovation, and customer-first mindset
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Focusing only on technical AI skills without showing interest in the nonprofit mission
- Presenting generic AI experience without specific examples of Agentic Workflows or LLM implementation
- Failing to demonstrate experience with cross-functional collaboration or remote work practices
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!