Pear VC
Founding Software Engineer, AI Applications - TrueMeter
Pear VC, San Francisco, California, United States, 94199
Location:
In Person 3 days a week in San Francisco, CA Team:
Engineering Experience:
23 years at an AI-first company or building AI-powered products About TrueMeter
At
TrueMeter , were 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 cant keep up: parsing messy documents, orchestrating agent workflows, and optimizing energy spend across dynamic, multi-variable rate structures. Were building a
founding team of problem-first engineers
who care deeply about
deploying AI applications into production fast, reliably, and at scale. Why Join Us?
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 automationoptimizing 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. What Youll Do
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.
What Were Looking For
23 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.
Background in energy, utilities, or IoT data (not required, but valuable context).
Prior experience in a
founding or early-stage engineering role .
Our Culture
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-onits the core of how we scale solutions to problems that were previously unsolvable. What Youll Get
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.
In Person 3 days a week in San Francisco, CA Team:
Engineering Experience:
23 years at an AI-first company or building AI-powered products About TrueMeter
At
TrueMeter , were 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 cant keep up: parsing messy documents, orchestrating agent workflows, and optimizing energy spend across dynamic, multi-variable rate structures. Were building a
founding team of problem-first engineers
who care deeply about
deploying AI applications into production fast, reliably, and at scale. Why Join Us?
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 automationoptimizing 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. What Youll Do
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.
What Were Looking For
23 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.
Background in energy, utilities, or IoT data (not required, but valuable context).
Prior experience in a
founding or early-stage engineering role .
Our Culture
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-onits the core of how we scale solutions to problems that were previously unsolvable. What Youll Get
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.