Full-Stack Engineer — AI-Driven Building Energy (Hybrid Boston)

Reframe Systems; Somerville (MA); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Equity

Job summary

Upgraid is seeking a full‑stack engineer to design and build interfaces for exploring building data, energy simulations, and upgrade recommendations. You will connect diverse data sources, extend the FastAPI backend, and support scalable energy simulations across many buildings.

The role requires 3–5 years in full‑stack development with Python and a modern JS framework, plus experience designing REST APIs and working with PostgreSQL.

Qualifications

• 3–5 years in full‑stack web development using Python and a modern JS framework
• 1–2 years designing REST APIs and working with relational databases (PostgreSQL or equivalent)
• 1+ year wrangling imperfect data from multiple sources
• Proven end‑to‑end shipping in professional settings, personal projects welcome
• Ability to measure, ship, and iterate, with self‑motivation and curiosity

Responsibilities

• Design and build the customer interface for data exploration, energy simulations, and upgrade recommendations
• Normalize and integrate data from diverse sources into a unified model for the backend
• Extend FastAPI backend to serve new data products and frontend features
• Support asynchronous jobs that run energy simulations at scale
• Handle imperfect datasets and reconcile data quality issues for actionable insights
• Build UI components that help non‑technical users understand results and actions
• Collaborate with customers to align product development with their vision
• Demonstrate ownership and contribute to a collaborative culture

Skills

Full stack development

API design

Data wrangling

Self-motivation

Curiosity

Collaboration

Tools

Python

JavaScript

React

PostgreSQL

REST APIs

Svelte

Job description

Upgraid is seeking a full‑stack engineer to design and build interfaces for exploring building data, energy simulations, and upgrade recommendations. You will connect diverse data sources, extend the FastAPI backend, and support scalable energy simulations across many buildings.

The role requires 3–5 years in full‑stack development with Python and a modern JS framework, plus experience designing REST APIs and working with PostgreSQL.