Full Stack Engineer
edkey · San Francisco, CA · Today
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.