Founding Member of Technical Staff

All openings

Founding Member of Technical Staff

Department Engineering

Location Zug, Switzerland

Employment type

Full-time

Workplace Hybrid or Remote

Mercora is the AI operating system for physical commodity trade. ~$8 trillion/year in transactions, still running on spreadsheets, email, and disconnected legacy systems. We’re building the system of record this industry has never had.

One of the first engineering hires. You work directly with the founding team. There is no roadmap handed to you. You help write it.

You’ll own features end-to-end: gather context from users, decide what to build, ship it, measure it, iterate. Engineers talk to customers directly.

The stack today is Type Script/React on the frontend, Python on the backend, with LLMs and ML integrated into the core product. That will evolve, and you’ll have a say in how.

• Shipped AI-powered products for real users using Type Script, Python, and LLM APIs (OpenAI, Claude, Gemini).
• Built and deployed complex data pipelines or multi-step AI workflows to production.
• Strong opinions on how to build reliable AI features, not just demos.
• Comfortable owning infra: CI/CD, cloud (AWS/GCP), observability, deployment.
• Can learn a complex domain fast. Commodity trade is dense and you’ll need to get fluent in trade life cycles, document structures, and operational workflows quickly.
• Commercial instinct. You think about what moves the needle for customers, not just what’s technically interesting.
• You know when to cut corners and when to be rigorous. Move fast at the edges, build carefully at the core.
• You don’t wait for tickets. You see what needs doing and do it.

• 3+ years building full-stack web applications in production.
• 1+ years building generative AI or ML applications in production.
• Solid fundamentals in distributed systems, data modeling, and API design.
• Fluent English.

• Founding engineer experience at a high-growth startup, or founder background.
• Commodities, energy, logistics, supply chain, or fintech domain experience.
• Deep infra knowledge (Kubernetes, Terraform, streaming pipelines, data warehouses).
• AI side projects with real traction (users, stars, downloads).
• Experience working directly with enterprise clients.

• Significant founding equity.
• Daily collaboration with the founding team.
• Direct line to users. Your code ships to commodity trading firms making high-stakes decisions.
• Full technical autonomy. You pick the tools, you own the architecture.
• Access to cutting-edge AI infrastructure: LLM pipelines, agentic workflows, document intelligence at scale.