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Jobs at Terawatt (Now Hiring) — 3 open

Terawatt logoTerawatt

Applied AI Engineer

San Francisco, California, United States · Hybrid

$180k–$205k/yr

Senior$1.3B raised

About Terawatt Infrastructure The once-in-a-century transition to autonomous and electric vehicles is underway and will require a multi-trillion-dollar investment in energy and charging infrastructure, and the real estat…

Skills: Python, TypeScript, LLM APIs, RAG, Vector Databases

Terawatt logoTerawatt

Development Manager

San Francisco, California, United States · Hybrid

$125k–$180k/yr

Senior$1.2B raised

About Terawatt Infrastructure The once-in-a-century transition to autonomous and electric vehicles is underway and will require a multi-trillion-dollar investment in energy and charging infrastructure, and the real estat…

Skills: Real Estate Development, Site Due Diligence, Entitlements, Permitting, Financial Modeling

Terawatt logoTerawatt

Operations & Facilities Program Manager

Los Angeles, California, United States · Hybrid

$120k–$140k/yr

Mid level$1.3B raised

About Terawatt Infrastructure The once-in-a-century transition to autonomous and electric vehicles is underway and will require a multi-trillion-dollar investment in energy and charging infrastructure, and the real estat…

Skills: Project Management, Facilities Management, Operational Excellence, Risk Assessment, Vendor Management

Terawatt logo

Applied AI Engineer

Terawatt

San Francisco, California, United States • Hybrid

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Senior

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  • $180k–$205k/yr
  • Full-time
  • Comprehensive Benefits Package, Performance-based Incentives
  • Posted 30d ago
  • ~40 hrs/week

Responsibilities

Architect and build an internal AI platform featuring agentic workflows to solve complex business problems in development, finance, and operations. Establish quantitative evaluation frameworks and monitoring to ensure the reliability, security, and performance of LLM-powered agents.

Requirements

Requires 5+ years of production software engineering experience with Python or TypeScript and hands-on expertise in building autonomous agents and RAG implementations. Proficiency with frontier LLM APIs and orchestration frameworks like LangGraph or CrewAI is essential.

Full job description

About Terawatt Infrastructure

 

The once-in-a-century transition to autonomous and electric vehicles is underway and will require a multi-trillion-dollar investment in energy and charging infrastructure, and the real estate to site it on. Terawatt is the leader in delivering large-scale, turnkey charging solutions for companies rapidly deploying AV and EV fleets. Whether it’s an urban mobility hub or a carefully located multi-fleet hub for semi-trucks, Terawatt brings the talent, capabilities, and capital to create reliable, cost-effective solutions for customers on the leading edge of the transition to the next generation of transport.

 

With a growing portfolio of sites across the US in urban hubs and along key logistics and transportation corridors and logistics hubs, Terawatt is building the permanent transportation and logistics infrastructure of tomorrow through a robust combination of capital, real estate, development, and site operations solutions. The company develops, finances, owns, and operates charging solutions that take the cost and complexity out of electrifying fleets. 

 

At Terawatt, we execute humbly and with urgency to provide tailored solutions for fleets that delight our clients and support the transition of transportation.

\nOur Technology

Terawatt is not a traditional infrastructure operator. Our technology platform transforms a portfolio of sites into a reliable, intelligent network — through advanced power management, operational optimization, and data-driven systems that back our customers with hard performance guarantees. That's what makes us a de-risked operator and a category-defining company.

We sit at a rare intersection: software, hardware, real estate, energy systems, and live site operations. The work is concrete and the stakes are real. The code you write today runs physical infrastructure tomorrow. You'll build systems that orchestrate megawatts of power across hundreds of chargers, ingest millions of telemetry events per day, and keep autonomous fleets, rideshare vehicles, and heavy-duty trucks moving — in real time.

Role Description

In this role you build the engine that turbocharges Terawatt’s ability to build, operate, and scale the infrastructure of the future. This is a very important role with direct support from Terawatt’s executive team.

As an Applied AI engineer, you will be the software engineer building Terawatt’s internal AI platform. You will partner with stakeholders to translate high-value, ambiguous business problems across development, finance, and operations into well-framed agentic problems with clear success criteria and evaluation methodologies. You will provide technical leadership across the full development and evaluation lifecycle, including post-deployment iteration, for agentic workflows and custom internal applications that leverage the latest innovations with our internal data sources to provide a competitive edge to our entire organization.

If you care about sustainability and you’re excited to use AI to accelerate clean energy infrastructure, this is your chance to be part of a rapidly-growing, well-funded climate tech scale-up.

Core Responsibilities
  • Architect the internal AI platform. Create the reusable primitives — evaluation harnesses, MCP servers, tool libraries, prompt patterns — that turn one-off prototypes into a flywheel

  • Embed with teams across the business. Work closely with Development, Finance, and Ops teams. Together with the PM for AI, translate ambiguous, high-stakes problems — site selection decisions, financial & layout modeling, interconnection workflows — into well-scoped agent specs with clear success criteria

  • Prototype and build agentic workflows. Design and ship LLM-powered agents that reason, plan, and act across Terawatt's tools and data. Start with prototypes, then iterate based on user feedback to production-grade reliability, security, and cost

  • Own Quality: Define and apply evaluation and quality standards to measure success, failures, and regressions. Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails making them a seamless and trusted part of the daily workflow for every Terawatt employee

  • Operate what you ship — instrument agents with monitoring and cost/latency budgets, catch quality regressions before users do, and keep workflows running as underlying models change

  • Rigorous Evaluation: Establish quantitative evaluation frameworks to assess agentic precision, operational safety, and latency performance — moving beyond heuristic testing to measurable outcomes

  • Deep Curiosity: You stay current with the fast-moving AI landscape, run experiments, and actively share findings and best practices with the team

  • You communicate clearly across technical and non-technical audiences and thrive in a collaborative, fast-moving hybrid environment

Minimum Qualifications
  • Production Engineering: 5+ years in architecting, deploying, and overseeing production-grade software using Python or TypeScript with a strong emphasis on writing code that is modular, observable, and built to scale

  • Agentic Architectures: Hands-on experience of engineering autonomous agents capable of multi-step reasoning and execution—utilizing patterns like ReAct or Plan-and-Execute—while integrating seamlessly with external toolsets, APIs and MCPs

  • Experience building production applications using LLM APIs (e.g., Claude, OpenAI) to enhance workflows or productivity across cross-functional teams. 

  • The LLM Stack: Deep technical proficiency with frontier models, RAG implementations, and vector databases. Experience with orchestration frameworks such as LangGraph or CrewAI

  • Security First: Experience building AI platforms that treat security as a core feature, including familiarity with risks specific to agentic and LLM-based systems

  • Proficiency with Git workflows and agile development practices

Preferred Qualifications
  • Proven ability to work closely with Product to scope, prioritize, and independently deliver features from definition through deployment

  • Experience mentoring junior engineers or contributing to architectural design discussions

  • Experience with Git workflows, agile methodology, and contributing to architectural discussions

  • Ability to customize and retrain models for advanced internal use cases via practical experience in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn

\n
$180,000 - $205,000 a year
Compensation for this role is determined by several factors, including the cost of labor in specific geographic markets, and these ranges are intended to provide a helpful reference. The actual compensation offer will be based on the candidate’s location, skills, level of expertise and experience, and internal equity considerations. In addition to base salary, we offer a comprehensive benefits package and, where applicable, performance-based incentives.
\n

We are building a team that represents a variety of backgrounds, perspectives, and skills. At Terawatt, we continuously strive to foster inclusion, humility, energizing relationships, and belonging, and welcome new ideas. We're growing and want you to grow with us. We encourage people from all backgrounds to apply.

If a reasonable accommodation is required to fully participate in the job application or interview process, or to perform the essential functions of the position, please contact [email protected].

 

Terawatt Infrastructure is an equal-opportunity employer.

Related keywords

Applied AILLMAgentic WorkflowsRAGVector DatabasesLangGraphCrewAIPythonTypeScriptMCPReActPlan-and-ExecuteClimate TechEV InfrastructureAutonomous VehiclesTensorFlow

About Terawatt

LinkedInVisit site

Building EV charging infrastructure to power fleets at the cutting edge of technology.

Industry
Transportation, Logistics, Supply Chain and Storage
Company size
51-200 employees
Headquarters
San Francisco, CA
LinkedIn followers
12,231
Total funding
$1.3B

Terawatt provides convenient, reliable charging infrastructure that keeps your fleets running efficiently and turns your charging costs from a prohibitive capital expenditure into a manageable monthly operating expense. We own, develop, operate, and maintain charging sites and operational solutions that form the backbone of commercial EV transport in the U.S. We are hiring for a number of positions! Please visit the Careers page on our website for more information.

Offices: San Francisco, CA, US

Industrial EngineeringEnergy ManagementFleet ManagementElectric VehicleCharging Infrastructure
View all jobs at Terawatt

About Terawatt

LinkedInVisit site

Building EV charging infrastructure to power fleets at the cutting edge of technology.

Industry
Transportation, Logistics, Supply Chain and Storage
Company size
51-200 employees
Headquarters
San Francisco, CA
LinkedIn followers
12,231
Total funding
$1.3B

Terawatt provides convenient, reliable charging infrastructure that keeps your fleets running efficiently and turns your charging costs from a prohibitive capital expenditure into a manageable monthly operating expense. We own, develop, operate, and maintain charging sites and operational solutions that form the backbone of commercial EV transport in the U.S. We are hiring for a number of positions! Please visit the Careers page on our website for more information.

Offices: San Francisco, CA, US

Industrial EngineeringEnergy ManagementFleet ManagementElectric VehicleCharging Infrastructure
View all jobs at Terawatt

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