Tech Stack
AWSCloudGoogle Cloud PlatformIoTPythonTypeScript
About the role
- 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.
- Build AI applications that parse tariffs, optimize utility spend, and automate workflows.
- Productionize agent workflows and 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.
- Deploy and maintain systems on GCP (or AWS), ensuring scalability, reliability, and performance.
- Prototype, test, and launch features quickly while maintaining production quality.
- Establish engineering standards, architecture principles, and AI-first practices for the company.
Requirements
- 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
- Nice-to-haves: experience with parsing unstructured data, optimization algorithms, or time-series forecasting
- Nice-to-haves: background in energy, utilities, or IoT data
- Nice-to-haves: prior experience in a founding or early-stage engineering role
- Ability to be eligible to work in the United States (application asks about work eligibility and visa sponsorship)