Location: In Person — 3 days a week in San Francisco, CA
Team: Engineering
Experience: 2–3 years at an AI-first company or building AI-powered products
At TrueMeter, we’re tackling one of the hardest and most overlooked challenges in energy: making sense of complex, utility data and actually optimizing costs down.
Our mission is to engineer intelligence at scale. We apply AI-first thinking to problems where traditional engineering can’t keep up: parsing messy documents, orchestrating agent workflows, and optimizing energy spend across dynamic, multi-variable rate structures.
We’re building a founding team of problem-first engineers who care deeply about deploying AI applications into production—fast, reliably, and at scale.
As our Founding Software Engineer, AI Applications, you will:
Be one of the earliest engineers, setting both the technical direction and cultural foundation of TrueMeter.
Own end-to-end AI applications: from ingesting unstructured data to deploying production-ready agent workflows.
Work on hard, technical problems that have resisted automation—optimizing rates, parsing unstandardized tariffs, integrating across APIs, and scaling systems that deliver direct business value.
Move fast and apply AI-first thinking for scaling: leveraging LLMs, orchestration frameworks, and modern cloud infrastructure to design solutions that scale where traditional methods fail.
If you want to be on the frontlines of applying AI to complex, high-impact engineering challenges, this is the role.
Build AI Applications: Design and deploy intelligent systems that parse tariffs, optimize utility spend, and automate workflows.
Productionize Agent Workflows: Integrate cutting-edge AI models into robust pipelines that run reliably in real-world environments.
Full-Stack Development: Build APIs, backend services, and frontend integrations using Python and TypeScript as needed.
Leverage Cloud at Scale: Deploy and maintain systems on GCP (or AWS), ensuring scalability, reliability, and performance.
Iterate Rapidly: Prototype, test, and launch features quickly while maintaining production quality.
Shape Foundations: Establish engineering standards, architecture principles, and AI-first practices for the company.
2–3 years of experience as a software engineer at an AI-first company or building AI-powered applications.
Proficiency in Python and TypeScript, with experience shipping production code.
Hands-on experience deploying AI/LLM workflows into production (LangChain, LlamaIndex, vector DBs, orchestration frameworks, etc.).
Familiarity with GCP (or AWS) cloud infrastructure and deploying production-grade systems.
Experience building and maintaining APIs, data pipelines, or full-stack applications.
Startup DNA: thrives in ambiguity, biased toward action, problem-first mindset, and high ownership.
Experience with parsing unstructured data, optimization algorithms, or time-series forecasting.
Background in energy, utilities, or IoT data (not required, but valuable context).
Prior experience in a founding or early-stage engineering role.
We value problem-first engineering: we start with the complexity of the problem, and we solve it with the right tools, applying AI-first thinking where it creates leverage. We move with urgency, ship quickly, and reflect honestly to improve. We believe that AI is not an add-on—it’s the core of how we scale solutions to problems that were previously unsolvable.
A founding engineer role with outsized ownership and influence on product and company trajectory.
Competitive salary and meaningful equity.
Hybrid work culture in San Francisco—collaborative, fast-paced, and ambitious.
The opportunity to work on real-world hard problems that push the boundaries of AI-first engineering.