As a founding engineer, you will shape the product and technical direction while delivering systems that address complex data challenges and create measurable business impact for an early-stage B2B AI team.
Compensation
Base salary: $200,000 to $250,000 annually. Visa sponsorship is available.
Responsibilities
Build and ship full-stack product features end to end as a core member of the engineering team.
Develop systems that reconcile negotiated supplier terms with purchasing and invoice data at scale.
Make product and technical decisions that influence the company's direction from an early stage.
Work directly with enterprise customers to understand their needs and deliver practical solutions.
Contribute to AI and LLM systems that help organizations identify savings and resolve discrepancies.
As a Senior Full-Stack Developer with Agentic AI expertise, you will use advanced AI-powered coding tools to rapidly enhance existing applications and develop impactful functionality across critical programs.
Compensation
Target salary range: $109,986–$189,154.
Responsibilities
Use advanced agentic AI coding tools to accelerate development and add functionality to existing codebases within large, complex programs.
Deliver high-impact technical contributions to strategically important projects, supporting program success and measurable outcomes.
Collaborate with developers, technical leads, and stakeholders to identify system challenges and implement effective solutions in an agile environment.
Transition between programs and projects, prioritising work according to business needs and mission impact.
Analyse customer requirements and program objectives to design and develop innovative, mission-aligned solutions.
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.
Design and scale SDK software that powers Checkout across web2 and web3 environments, collaborating with protocol, backend, and business teams to build tools that scale globally for on-chain payments.
Responsibilities
Design and scale SDK software for crypto payments
Collaborate with protocol, backend, and business teams
Build tools that scale globally for on-chain payments
Lead the StripeOS engineering team as it builds the next generation of Stripe’s planning and execution tools, combining technical depth with broad product scope.
Responsibilities
Drive the team’s vision for AI-native workflows: rethink how Stripe employees plan, decide, and execute with AI at the core, and build agents and assistants that synthesize context, automate repetitive work, and help people make better decisions
Partner with product managers and designers to set the team’s direction and roadmap, turn ambitious ideas into well-scoped technical plans, and guide the delivery of full-stack products, including web and mobile experiences, AI-powered features, and integrations with internal tools and platforms
Stay deeply engaged in the technical work: review designs, weigh in on architecture, and prototype new approaches with your team
Lead, grow, and support your engineers through coaching, mentoring, and clear feedback, and partner with Stripe’s recruiting team to recruit top engineering talent and build a diverse, high-performing team
Shape how the team operates, from engineering practices and standards for experimentation to AI-native development that helps the team prototype faster and ship with confidence
Build the platform and the products that bring Vision AI to restaurant operators, owning major parts of the system end to end from video processing services to customer-facing features.
Compensation
Zone A
$159,000—$254,000 USD
Zone B
$138,000—$221,000 USD
Zone C
$125,000—$200,000 USD
Devising the AI transformation for YouTube Business GTM operations, operating at the intersection of consulting, product strategy, applied AI and systems engineering.
Build GenAI PoCs (LLMs, RAG, agentic frameworks) to demonstrate feasibility to stakeholders, translating ambiguous business problems into software solutions.
Serve as engineering Lead delivering complex AI applications, transitioning rapid prototypes to production-grade systems (e.g., multi-agent systems, MCP servers) that drive Return on Investment (ROI).
Lead engineering efforts supporting the commercialization of the enterprise public cloud platform, building secure, scalable, AI-enabled cloud platform capabilities for external health systems and clients.
Locations (2)
Minneapolis, Minnesota, United States
Washington, D.C., District of Columbia, United States
Responsibilities
Lead software engineering initiatives supporting the commercialization and external consumption of enterprise public cloud platform capabilities
Lead, mentor, and provide technical direction to engineers building secure, scalable, and resilient cloud solutions across AWS, Azure, and/or GCP
Design, develop, and deploy AI-powered platform capabilities and automations to address complex technical and operational challenges, adhering to responsible AI practices
Deliver platform capabilities and engineering solutions that enable a seamless, automated onboarding experience for external health systems and enterprise clients
Establish robust security standards and engineering practices for secure, scalable, externally consumed enterprise cloud services
Senior Software Engineer - Full-Stack AI Applications
Senior Software Engineer to join the Document Intelligence Worker platform, designing and operating pipelines and services for automated document understanding and AI-driven capabilities across Aramark.
Responsibilities
Design, build, and own components of the Document Intelligence Worker pipeline, including ingestion, classification, extraction, and downstream delivery.
Architect and implement event-driven processing using Azure Blob Storage, Event Grid, and Service Bus.
Build and productionize AI agentic workflows using Azure AI Foundry.
Implement and maintain retrieval and indexing layers using Azure AI Search and Cosmos DB.
Design and build the application layer for agentic AI solutions, including backend services and React-based user interfaces.
Requirements
BS or MS in Computer Science, Data Engineering, Data Science, or a related field
Act as a trusted engineering partner to product managements and stakeholders, co-creating tool roadmaps that enable YouTube's business operations.
Author technical designs, write clean/maintainable code, build front-ends, and deliver from scoping to deployment.
Build high-performance eval pipelines and observability frameworks to resolve AI bottlenecks (data readiness, system integration, state-management) while ensuring accuracy, safety, compliance, and latency.
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