What's Novo AI?

• We're transforming the trillion-dollar insurance industry with generative AI that delivers real results. Our proof? We've already helped April International reduce manual health invoice processing by 80% while improving accuracy. Now we're expanding this technology across the insurance landscape. Want to be part of this transformation?

Why join us?

• Build real AI solutions that directly impact the insurance industry (not just chatbots!)
• Work with cutting-edge LLM models and techniques in production environments
• Collaborate with experienced ex-Google engineers in a high-impact role
• Drive meaningful projects that shape our product development

What you'll work on

• Architect and implement robust, scalable Typescript-based full-stack solutions for insurance document processing
• Design and optimize RAG pipelines, embedding strategies, and modern LLM implementations
• Tackle complex challenges like extracting structured data from unstructured medical documents

What makes us different

• Work directly with experienced technical leaders
• Significant autonomy and ownership of technical decisions
• Remote-first culture focused on impact
• Opportunity to shape core product architecture

Time Commitment

• Flexible between part-time and full-time - we value impact over strict schedules. This role is ideal for experienced engineers looking to transition into AI engineering or seeking flexible work arrangements.

Location

• Fully remote position with flexible hours.

Interested?

• We're particularly interested in hearing about your production engineering experience, any AI/ML projects you've worked on, and your approach to technical problem-solving.

Requirements

• 2+ years of professional software engineering experience
• Strong proficiency in JavaScript/TypeScript and modern web frameworks
• Demonstrated experience building production-grade applications
• Experience with AI/LLM implementations preferred
• Excellent problem-solving and system design skills
• Strong communication abilities and experience working in remote teams

Nice to have

• Experience with RAG, embeddings, and other LLM techniques