80% of clean energy projects that developers start never actually get built because most projects are started without deep due diligence on zoning and interconnection due to the cost of collecting that data. This means $17B worth of canceled projects per year.
Requirements
- 1 yr+ hands on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures
- 1 yr+ experience with AI frameworks like Langchain, Llama Index, OpenAI, or similar tools.
- Proficient with Python, SQL.
- Ability to prototype, experiment, and iterate quickly to improve AI agents.
- Previous experience working with geospatial data and platforms
- Previous experience working with ML infra and modeling
- Previous experience scaling up data intensive, AI and analytics heavy solutions
Responsibilities
- Lead the effort on scale up the existing system to the next level
- Have full ownership of projects, directly work with end users and iterate
- Collaborate closely with the founders and product team to directly impact roadmap
Other
- Have a strong bias towards action and prioritize execution
- Share our passion to build something that fights climate change
- Easily handle the unstructured environment of fast moving startups
- Have the hunger to grow together with Paces as we scale up
- Hybrid work in the office in Williamsburg, Brooklyn ~3x per week
