Own the core LLM infrastructure powering two products redefining B2B research: Hub and Prime.
Build self-serve features that compress weeks into days: question → expert insight → follow-up, powered by RAG and adaptive workflows.
Architect automated systems that continuously capture expert opinions—creating longitudinal datasets and refreshable dashboards that compound in value.
Fuse structured survey data with unstructured expert knowledge, build semantic search across proprietary corpora, and create AI pipelines that maintain research-grade quality at scale.

Requirements

3-4 years of experience shipping production code in a fast-paced environment
Full-stack expertise: Moderate proficiency in React, TypeScript, and modern frontend frameworks.
Backend experience with Python, Node.js, or similar
AI/ML implementation experience: Hands-on experience integrating LLMs, building with OpenAI/Anthropic APIs, or implementing ML models in production.
Experience with AWS, Docker, and modern deployment practices
Experience with testing, code reviews, and maintaining high code quality standards
Ability to translate user needs into technical solutions while maintaining engineering best practices.

Benefits

Excellent medical, dental, and vision insurance.
401k match with immediate vesting.
Generous Paid time off, holidays, and parental leave.
A diverse, collaborative, and positive culture where we invest in and celebrate each other’s success.
Flexible work environment where we work hard but have fun (happy hours, team projects, and retreats).

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

ReactTypeScriptPythonNode.jsAI/ML implementationLLMsOpenAI APIAnthropic APIDockerproduction code

problem-solvingcommunicationuser needs translationengineering best practices