Data & AI)

PulseRise Technologies•San Francisco, CA

1d•Hybrid

About The Position

We are looking for a high-caliber Full Stack Software Engineer to join an early-stage, venture-backed energy technology company building a SaaS platform that accelerates grid connection and power system analysis. This role is ideal for a strong generalist who thrives in fast-moving startup environments and enjoys owning features end-to-end. You will work across frontend, backend, data infrastructure, and AI-driven features, contributing directly to product architecture and user experience. The position requires strong Python expertise, solid TypeScript fundamentals, and experience building scalable systems for enterprise-grade applications. You will collaborate closely with engineers, data scientists, and domain experts to deliver performant and reliable solutions. This is a critical hire with significant ownership, competitive compensation, and equity upside.

Requirements

4+ years of industry experience delivering production-grade software for enterprise customers
Strong proficiency in Python
Solid experience with TypeScript
Experience working with SQL databases (e.g., Postgres)
Experience designing and scaling backend APIs
Strong system design and architectural thinking
Ability to operate autonomously in a startup environment
Clear communication and collaborative mindset

Nice To Haves

Experience with data visualization
Familiarity with Svelte, GraphQL, LLM agents, workflow orchestration
Experience with GIS/mapping technologies (e.g., vector tiles, Mapbox APIs)
Experience building or integrating AI-driven features
Background from fast-paced startups or top-tier technology companies
Rapid career progression and strong academic background

Responsibilities

Develop and maintain end-to-end features across frontend applications, backend APIs, data pipelines, and AI agents
Lead workstreams from requirements gathering through architecture, implementation, and rollout
Build interactive, data-rich frontend applications
Scale backend APIs and data systems while maintaining performance and reliability
Contribute to AI-driven features and workflow automation
Collaborate directly with users and customer-facing teams to translate feedback into product improvements
Participate in system design discussions, code reviews, and technical planning
Maintain high engineering standards with clean, maintainable, production-grade code
Mentor teammates and contribute to a strong engineering culture

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