People Culture Talent
Founding Engineer
About this role
Join a pioneering software company as a Founding Engineer, where you'll collaborate with the founders to develop core product features and customer deployments in a highly regulated industry. This role entails a mix of product design, engineering, and customer interaction, perfect for someone who thrives in an early-stage environment.
What you'll do
- Design and build product features across the entire tech stack
- Maintain integrations with external systems
- Develop AI-powered infrastructure
- Enhance application performance and scalability
- Collaborate with founders to translate requirements into software
- Participate in customer deployments and feedback incorporation
What they're looking for
- 3–5+ years in customer-facing software development
- Strong in React and TypeScript
- Full-stack experience including APIs and databases
- Experience with AI-enabled features
- Familiarity with prompt management and LLM tools
- Strong product judgment
- Background in implementation or solutions engineering
- Knowledge of enterprise deployment and compliance standards
Benefits
- Competitive salary range of $180,000 - $240,000 USD
- Flexible work environment
- Opportunity to shape company culture
- Mentorship opportunities
- Access to cutting-edge technology
- Engagement in an impactful and growing market
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People Culture Talent
People Culture Talent builds a platform for sophisticated software and AI teams, offering AI infrastructure and developer-focused tools. The company is hiring Developer Relations, Frontend Engineers, Product Engineers, Customer Engineers, and Sales Engineers to strengthen community engagement, enhance user experience, and support technical implementation and sales efforts.
View all jobs at People Culture TalentLikely interview questions
- Walk us through a full-stack project you've built from concept to production. How did you approach the database design, API layer, and frontend, and what trade-offs did you make?
- Tell us about your experience building AI-powered features. What LLM tools or frameworks have you worked with, and how did you handle prompt management or evaluation in production?