LLM Full Stack Software Engineer

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

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

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.