1 year ago
Responsibilities
- Build production backends that connect LLMs and coding agents with data and product APIs.
- Design and deploy fast, secure microservices in Python and optionally TypeScript.
- Build reliable connectors to energy company portals and public data sources.
- Design backend infrastructure that enables AI agents to read, reason, and act across the data stack.
- Own low-latency, highly reliable systems that operate 24/7.
- Ship observability and tooling, including pipelines, logs, and metrics.
- Work with customer success and sales teams to translate real-world problems into technical abstractions.
Requirements
- At least 1 year of experience building production backend or full-stack systems.
- Experience with Python and GCP or AWS infrastructure.
- Interest in integrating LLMs and tools such as LangChain, OpenAI APIs, or custom agents into production systems.
- Ability to prototype rapidly, communicate complex systems clearly, work independently, and deliver in a startup environment.
- Preferred experience building production systems involving energy, fintech, or automation.
Benefits
- Hybrid work in the San Francisco Bay Area with 3 days onsite and 2 days remote.
- Opportunity to work directly with the co-founder/CTO and Stanford-alum founders in a seed-stage startup.
- High-ownership role building systems from prototype to production and contributing to energy cost savings and emissions reduction.
Tech Stack
Categories
About Pear VC
Pear VC is an early-stage venture capital partnership that invests at pre-seed and seed, pairing capital with hands-on support, mentorship, and programs like its PearX accelerator for founding teams. Founded in 2013 and headquartered in Menlo Park, California, it backs software and technology startups across categories. Its portfolio includes companies that reached the public markets, such as DoorDash and Guardant Health.