As a Founding Engineer, you will play a central role in building an AI-powered platform transforming how renewable energy projects are evaluated and financed. You will take ownership of the end-to-end product experience, from customer-facing applications to the underlying technical infrastructure.
Compensation
Competitive annual base salary ranging from $130,000 to $150,000 USD.
Responsibilities
Own the development and continuous improvement of the platform supporting AI-powered renewable energy diligence and project evaluation.
Work directly with customers to understand their challenges, gather feedback, and translate business needs into practical product improvements.
Design, develop, and deploy features across the entire product experience, including customer-facing interfaces, analyst tools, and expert reviewer workflows.
Build and maintain scalable full-stack applications, contributing to both frontend and backend architecture.
Develop and operate AI-assisted document review, information retrieval, and diligence workflows.
As a Founding Engineer, you will play a central role in building an AI-powered platform transforming how renewable energy projects are evaluated and financed. You will take ownership of the end-to-end product experience, from customer-facing applications to the underlying technical infrastructure.
Compensation
Competitive annual base salary ranging from $130,000 to $150,000 USD.
Responsibilities
Own the development and continuous improvement of the platform supporting AI-powered renewable energy diligence and project evaluation.
Work directly with customers to understand their challenges, gather feedback, and translate business needs into practical product improvements.
Design, develop, and deploy features across the entire product experience, including customer-facing interfaces, analyst tools, and expert reviewer workflows.
Build and maintain scalable full-stack applications, contributing to both frontend and backend architecture.
Develop and operate AI-assisted document review, information retrieval, and diligence workflows.
Build AI-native engineering capabilities, design and ship AI agents that run in production, and develop tooling, patterns, and guardrails for AI adoption.
Compensation
The Mountain View base salary range for this full-time position is $228,000 - $279,000, plus equity and benefits.
Responsibilities
Design how agents think—prompts, reasoning chains, tool calls, and architecture
Build production infrastructure for AI agents
Develop evaluation pipelines, benchmarks, and quality gates
Create reusable libraries, templates, and reference implementations
Own AI governance, bias evaluation, audit logging, and model cards
Define and build secure AI platforms and architecture for defense applications, ensuring compliance with regulated standards and integrating LLM and agent technologies.
Locations (2)
El Segundo, California, United States
Washington D.C., District of Columbia, United States
Compensation
[Salary Range: $220,000 - $280,000]
Responsibilities
Define the enterprise AI reference architecture: standards, approved models and tools, and decision rights for every team
Build secure AI platforms: LLM gateways, model routing, access controls, retrieval, agent frameworks, and cost tracking
Set the architecture for AI across the SDLC and CI/CD: coding assistants, agentic dev tools, automated review and testing, policy-as-code gates
Design data boundaries that keep CUI and ITAR data inside approved environments, from commercial cloud and GovCloud to air-gapped networks
Map AI use to CMMC 2.0, NIST 800-171, FedRAMP, ITAR/EAR and NIST AI RMF, and chair the AI Architecture Review Board
Lead data science initiatives for Apple’s US Decision Intelligence team, building predictive models, automated insight pipelines, and GenAI-powered tools to support sales operations.
Responsibilities
Build and scale automated insight pipelines
Develop ML models to detect opportunities and diagnose performance issues
Embed insights into AI agents, dashboards, and GenAI tools
Translate business problems into technical solutions
Present insights to senior leadership
Requirements
Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field
Nice to have: GenAI frameworks (LangChain, LlamaIndex, Haystack)
The Lead AI Developer will be responsible for building production AI agents, shape team-level governance, and raise AI engineering maturity across web, mobile, CMS, and MarTech platforms serving millions of retail energy customers.
Responsibilities
Drive the maintenance of systems, creation of technical designs, development and deployment of front-end and/or back-end systems, integration of the data warehouse with enterprise applications, and/or implementation of user access controls and data security measures
Lead daily operational activities and measure process quality and compliance
Identify, evaluate, and implement automation and continuous improvement ideas supporting ITIL-aligned processes to address technical debt
Manage the creation and implementation of solutions or enhancements to improve overall Vistra data architecture; conduct research and make recommendations on new data management processes and innovations
Engage business users, process owners, architecture, and application teams to define and understand data needs to achieve key performance indicators and service level agreements that benefit Vistra and its objectives
Partner directly with business stakeholders to identify opportunities for AI-driven transformation and design, build, and deploy AI-powered applications and agentic workflows.
Compensation
The pay range for this position is $80.00 - $85.00/hr.
Responsibilities
Partner directly with business stakeholders to identify opportunities for AI-driven transformation
Translate vague or ambiguous business requirements into scalable technical architectures
Design, build, and deploy AI-powered applications and agentic workflows
Develop production-grade AI solutions leveraging LLMs, agents, MCPs, skills, tools, and modern AI frameworks
Rapidly prototype new AI use cases and validate business value
Lead the strategy and execution of an AI Platform across Scalable Capital, bridging technical teams and business stakeholders to deliver AI capabilities to internal and external product lines.
Responsibilities
Define, prioritize, and own the strategic roadmap for the internal "AI as a Platform"
Identify opportunities to employ AI capabilities across client-facing and internal systems
Enhance client experience through predictive modeling and personalization
Improve operational efficiency via AI-driven fraud detection and system scalability
Drive implementation of strategic AI use cases and align timelines across teams
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