Pear VC
Product Engineer (Backend) - Resiquant AI
About this role
ResiQuant AI is seeking a Product Engineer (Backend) to develop and manage backend systems for AI-driven property risk intelligence. This role focuses on creating scalable APIs and data pipelines to support the needs of Fortune 500 insurers while ensuring system reliability and performance.
What you'll do
- Lead backend feature development from design to deployment
- Architect scalable services for insurance clients
- Create data pipelines for large-scale property datasets
- Enhance AI-assisted backend features
- Maintain system observability and performance
- Collaborate with team members and customers for feature iteration
What they're looking for
- Proficient in Python and databases
- Experience with cloud platforms (AWS/GCP)
- Familiarity with AI-assisted services
- Strong coding productivity with modern AI tools
- Ability to thrive in fast-paced environments
- BS in Computer Science or equivalent
Benefits
- Competitive salary and equity
- Comprehensive medical, dental, and vision benefits
- 401(k) with employer match
- Daily lunch and commute support
- Fast-paced, mission-driven workplace
- Opportunities for technical and leadership growth
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Pear VC
Pear VC invests in and supports AI-driven enterprise software companies building automation platforms, compliance systems, and specialized tools across industries like financial services, insurance, and software development. The portfolio companies are hiring founding and senior engineers to design core infrastructure, build AI systems, and develop scalable backend platforms alongside their leadership teams.
View all jobs at Pear VCLikely interview questions
- Walk us through a time you shipped an AI-assisted or data-intensive service end-to-end. What were the key technical challenges, and how did you ensure it was reliable enough for production?
- Describe your experience designing and optimizing data pipelines. How have you handled validation and transformation of large-scale datasets, and what observability did you build in?