Lead end-to-end full-stack feature development using AI agents across frontend and backend: own requirements, architecture, implementation, testing, rollout, and monitoring while improving AI-native engineering workflows and reliability.
About Toku
Every company in the world runs payroll. But the rails underneath it haven’t changed since the 1970s.
Toku is building what comes next - infrastructure that makes payroll work the way the internet does: instantly, globally, and without unnecessary friction.
We enable companies to pay teams in stablecoins, fiat, or tokens - without switching systems, retraining staff, or giving up compliance. With one API, Toku connects into platforms like ADP, Gusto, or Workday, and upgrades the back end to move money in seconds instead of days.
We're building the future of payroll and we're just getting started.
To learn more, check our website.
We are hiring a Senior Full-Stack Engineer who is deeply AI-native. This is not a traditional coding role. Our engineering workflow is agent-first, and we expect engineers to use AI as their primary interface for design, implementation, testing, refactoring, and delivery.
Toku builds mission-critical software across payroll, token administration, and financial operations. We ship fast, operate with high ownership, and expect excellent engineering judgment.
If agents have not significantly transformed the way you work, this role is not a fit.
How We Build
- Daily use of Claude and Codex across the full SDLC.
- Agent-first execution; we do not expect handwritten code as the default path.
- No token budget constraints for engineering workflows.
- Strong emphasis on throughput, correctness, and review quality with AI-assisted development.
What You’ll Do
- Build and ship full-stack features across frontend and backend systems.
- Own work end-to-end: product requirements, architecture, implementation, testing, rollout, and monitoring.
- Use AI agents to accelerate delivery while improving reliability and maintainability.
- Partner closely with product, design, and operations to deliver high-impact outcomes quickly.
- Improve internal engineering workflows for AI-native development and team leverage.
What We’re Looking For
- 5 to 7+ years of software engineering experience in production environments.
- Strong full-stack skills (TypeScript/JavaScript, modern frontend frameworks, backend APIs, SQL/data modeling).
- Clear track record of shipping customer-facing features and backend systems.
- Heavy, practical, and proven daily use of AI coding agents.
- Excellent prompt-to-production workflow: spec → agent loops → validation → deploy.
- Strong testing discipline and ability to reason about failure modes.
Non-Negotiables
- You are a rampant user of AI tools for engineering work.
- You are comfortable in an agent-first environment where handwritten code is not the default.
- You believe AI agents have fundamentally changed how high-performing engineers work.
Nice to Have
- Experience in fintech, payroll, payments, or crypto-enabled systems.
- Experience with Next.js, Node.js, Prisma, and typed API patterns.
- Experience improving developer productivity systems and AI-enabled engineering standards.
Toku is an equal opportunity employer, and we are committed to being a diverse team that reflects a broad range of background, thought, and experience. We do not discriminate based on race, color, religion, sex, gender identity, sexual orientation, age, national origin, status as an individual with a disability, status as protected veteran, or any other legally protected characteristics. Women, minorities, LGBTQ+, and people from underrepresented backgrounds are strongly encouraged to apply.
We strongly encourage you use Rezi.ai to vet resume quality before applying.
Top Skills
Ai Agents
Backend Apis
Claude
Codex
JavaScript
Next.Js
Node.js
Prisma
SQL
Typescript
Similar Jobs
Security • Cybersecurity
Design and build secure, scalable systems as a Full-Stack Software Engineer, leveraging expertise in Next.js, TypeScript, PostgreSQL, and AI tools to enhance cybersecurity within global infrastructure.
Top Skills:
Ai Tools (CursorAWSDevinDockerGithub Copilot)KubernetesNext.JsNode.jsPostgresSupabaseTypescript
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead strategy and execution for Square's next-generation websites platform, using AI to enable site generation, customization, and commerce integration. Collaborate with engineers, designers, and data scientists, define go-to-market plans, champion product thinking, and ship high-quality experiences that help sellers build and grow their online presence.
Top Skills:
Ai,Figma
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead and define Square's credit card product vision, build and manage a product team, design AI-native, vertically-focused card experiences, own portfolio economics and P&L, partner cross-functionally to deliver growth, risk performance, and software-led differentiation for small businesses.
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
