Senior LLM Full Stack Solutions Engineer

Industry Other
Category Programming/Software Development
Location Nepal
Expiry date May 25, 2025 (Expired)

Job Description

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

3+ 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

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.

This job has been expired on 2025-05-25