About the role
Company Description
Palmetto is a leading clean tech company on a mission to accelerate the transition to a clean energy future. With a belief that consumers can have it all, we are an uncompromising energy company that makes coming clean a no brainer. Our award-winning technology platform empowers homeowners, businesses, and entrepreneurs to adopt renewable energy through simple, scalable, and innovative solutions. Operating at the intersection of B2B and D2C, we offer software, financial products, and services that drive real environmental impact—without compromising value. We deliver end-to-end solutions for whole home electrification that put clean energy within reach for all.
Our employees are our most valuable resource. We foster a promote-from-within culture that prioritizes talent development, career growth, and purpose-driven work. Palmetto offers a comprehensive benefits package—including unlimited PTO, medical, dental, and vision coverage, paid parental leave, retirement plans, and more—so you can have it all both personally and professionally. Palmetto prioritizes people, planet, and profit—backed by a culture that values collaboration, impact, and balance. Join us in building a brighter, cleaner world.
Location
This position will be based in Charlotte, NC, New York, NY or Boston, MA.
Reporting
This position will report to the Director of Engineering, Building Science
Summary of Role
Come build the software and data layer that helps make energy cleaner and cheaper for millions of homes: turning fragmented, real-world energy data into structured, trustworthy intelligence that our products, customers, and partners can act on. You'll develop the services, pipelines, and models that estimate how homes use, produce, and pay for energy, and run them as reliable production APIs at scale. The role spans physics-based and machine-learning energy modeling, large-scale geospatial and remote-sensing data processing, utility and grid data processing across every US market, and AI systems where LLM-powered agents extract data from complex source documents with humans in the loop.
We're looking for a strong, versatile engineer, comfortable across frontend, backend, and the underlying infrastructure, and who is fluent with modern AI frameworks, tooling, and harnesses. This role sits in the Data and Energy Intelligence Unit, a multidisciplinary team of engineers and scientists owning data-intensive applications across energy modeling, geospatial data, and applied AI. Energy expertise is a plus, but we care most about excellent engineering and sound judgment; the domain is something a strong, curious engineer can learn on the job.
Strategic & Tactical
- Build and ship features end-to-end across the stack, from production APIs and data pipelines to the interfaces on top of them.
- Develop AI-powered capabilities where they fit, including LLM- and agent-based systems that extract structured, validated data from complex, unstructured documents with a human-in-the-loop review workflow.
- Take models from prototype to production: build the APIs, pipelines, and infrastructure that run physics-based and machine-learning models reliably at scale, with the testing and observability needed to catch regressions before they reach customers.
- Work with large geospatial and remote-sensing datasets (imagery, elevation, and related sources) that feed the platform's models.
- Raise the engineering bar and quality: lead and participate in peer technical design reviews, and hold a high standard for testing, observability, evaluation (including for nondeterministic AI outputs), and operational excellence.
- Communicate clearly with engineers, product partners, and non-technical stakeholders, while developing a deep understanding of the energy domain the platform serves.
Qualifications
Minimum:
- Advanced proficiency in Python for production software, with a demonstrated ability to write clean, maintainable, well-tested code and design solid APIs and services.
- Full-stack breadth: comfortable working across a backend and a modern frontend (e.g., React/TypeScript), and the underlying infrastructure. You are a generalist who can pick up whatever the problem needs.
- Hands-on experience building production LLM systems and agents with frameworks like pydantic-ai, LangGraph, or Claude/OpenAI Agent SDKs, including prompting, evals, and extracting structured data from messy, unstructured sources at scale.
- Fluency with agentic coding tools to multiply your impact, used critically: questioning and pressure-testing what they produce and keeping your own judgment in charge.
- Experience building and operating production systems: APIs and services, data pipelines, relational databases (SQL/PostgreSQL), containerization, cloud platforms (AWS/GCP/Azure), and observability, with sound practices (version control, code review, testing, CI/CD).
Preferred:
- Geospatial and remote-sensing experience: imagery, elevation/point clouds, and libraries such as rasterio, geopandas, and shapely; PostGIS.
- Depth in the modern Python web stack: FastAPI, SQLAlchemy, Pydantic, and async Python.
- Frontend depth: React, Vite, TypeScript, and data-fetching/state libraries (e.g., TanStack Query/Router).
- Strong quantitative or algorithmic aptitude, and comfort with the Python data stack (pandas, polars, NumPy).
- Experience in the clean energy space, with home energy data, or in building electrification and decarbonization.
Employment is contingent upon the successful completion of a background check.
Equal Employment Opportunity
Palmetto embraces diversity and is an Equal Employment Opportunity employer. Employment is decided on the basis of qualifications, merit, and business need. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or any other status protected under federal, state, or local law.
For more about our Privacy Policy, visit: https://palmetto.com/privacy-policy
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