AI Full Stack Engineer
RunwaySalary not specified
Full Time
Junior (1 to 2 years)
$150,000 – $230,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AI, SaaSIndustries
Requirements
- 2+ years of professional experience building and shipping production software
- Comfortable developing across React, Node.js/Express, AWS, and PostgreSQL
- Solid understanding of data structures, RESTful APIs, SQL, and testable system design
- Capable of designing, implementing, and maintaining well-scoped features or services end-to-end
- Communicate clearly, contribute to reviews and design discussions, and learn through feedback
- Motivated to extend skills into distributed AI workflows, inference systems, and prompt and context engineering
- Plus: Familiar with event-driven architectures and distributed data processing
Responsibilities
- Build and ship user-facing features – Develop UI components and backend APIs that help product and research teams understand user experiences at scale
- Own small features end-to-end – Take responsibility for well-defined product surfaces or API endpoints, from design and implementation to monitoring and iteration
- Collaborate and learn from experienced engineers – Work closely with senior teammates to review designs, debug complex issues, and grow your technical judgment
- Extend your impact into AI and data systems – Gain exposure to distributed data workflows, prompt engineering, and the AI inference systems that power Sprig’s analyses and insights
- Contribute to quality and shared understanding – Write reliable, testable code, improve observability, and document designs so others can build confidently on your work
Skills
Fullstack
AI
Frontend
API
Distributed Systems
Data Processing
Inference Pipelines
Sprig
Product experience insights platform for companies
About Sprig
Sprig provides a platform for gathering user experience insights to help companies improve their products. It allows teams to collect both numerical and descriptive data about how users interact with their products, which aids in making informed decisions. The platform operates on a subscription basis, offering tools for analyzing user journeys, capturing feedback on designs, and utilizing AI to summarize behavior data and highlight important product insights. Sprig stands out from competitors by seamlessly integrating with other tools and providing advanced analytics that enable quick actions based on user feedback. The goal of Sprig is to empower businesses to enhance their products and prioritize customer experience.
San Francisco, CaliforniaHeadquarters
2019Year Founded
$85.6MTotal Funding
LATE_VCCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
51-200Employees
Risks
Emerging competitors offer similar AI insights at lower costs, threatening market share.
Over-reliance on AI may overlook nuanced feedback needing human interpretation.
Economic downturns could reduce tech companies' spending on SaaS tools.
Differentiation
Sprig offers AI-driven insights for rapid and rich user feedback.
Seamless integration with popular tools enhances Sprig's usability and workflow.
Sprig's SaaS model provides continuous value and a steady revenue stream.
Upsides
Growing demand for remote usability testing expands Sprig's market reach.
AI-driven analytics align with industry trends for deeper product insights.
Rising importance of customer experience metrics boosts Sprig's tool value.
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