Jobs · Engineering · California

Full Stack Engineer

edkey · San Francisco, CA · 2 mo ago
HybridEngineeringFull-time

About the Role

This is an in-person, Full Stack Engineer role based in San Francisco, CA. Our confidential client is building an agentic operating system that powers product development, supplier collaboration, purchase orders, freight & customs, FX, and embedded payments for consumer brands. You will work closely with product and AI engineering teams to design, build, and operate customer-facing and platform systems with strong ownership and a bias for execution.

Responsibilities

  • Own features end-to-end: gather requirements, design, implement, test, and deploy.
  • Build scalable, reliable systems that minimize downtime and operational friction.
  • Work closely with customers and internal product teams to deliver practical solutions quickly.
  • Ship weekly deliverables; iterate based on customer feedback.
  • Monitor production, respond to incidents, and prioritize operational excellence.
  • Contribute to architecture decisions and documentation; be prepared to explain tradeoffs.

Qualifications

  • BS or MS in Computer Science or related field, or equivalent experience.
  • Entry-level (early-career) candidates are encouraged to apply; demonstrated aptitude and ownership matter most.
  • Strong written and verbal communication; customer-focused mindset.
  • Comfortable working in a fast-paced, high-autonomy environment (founder mindset).
  • Willingness to be curious, learn quickly, and take on broad responsibilities.
  • Visa sponsorship is available for qualified candidates.

Tech & Tools

  • Core front-end / full-stack: Next.js, React
  • Datastore / ORM: Prisma, Supabase
  • APIs: REST, GraphQL
  • Applied AI: familiarity with LLMs and how they integrate into product workflows is a plus

Why You'll Like This Role

  • High ownership and exposure to full product lifecycle — from customer conversations to shipping and support.
  • Work with passionate engineers building applied AI systems for real-world supply-chain problems.
  • Small-team, fast-iteration culture with low bureaucracy and strong learning opportunities.

Work Location & Schedule

In-person role based in San Francisco, CA. The confidential client operates with frequent on-site collaboration; expect a strong in-office presence.

Compensation & Benefits

  • Competitive pay and meaningful equity upside.
  • Health insurance.
  • Daily lunches and dinners on-site.
  • Visa sponsorship for qualified candidates.
  • Opportunity to learn deeply about applied AI in supply-chain and product operations.

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