Skiffra is building the intelligence layer for the physical world. We translate complex, real-world environments into clear, actionable data.
While most AI companies focus on digital industries, we design AI native orchestration systems for the sectors that extract, move, and build ecosystems around us. We turn messy, high stakes operations into intelligent, adaptive workflows that improve decisions in real time.
Our first proving ground is mining and natural resources, but the platform is modular by design and built to scale into any industry where decisions are expensive and the consequences are real.
As a Founding Full-Stack Engineer, you will build across backend, frontend, and agentic layers to turn messy operational reality into fast, AI-native systems. This is a hands-on founding role with real users, real environments, and real consequences.
What You’ll DoBuild end-to-end product features across backend, frontend, and agentic layers
Integrate LLMs and design safe, pragmatic tool interfaces
Prototype quickly and iterate based on live operational feedback
Debug across the entire stack and remove bottlenecks
Collaborate closely with product, domain experts, and early customers
Influence architecture, engineering standards, and the early roadmap
Help shape hiring and engineering culture from the ground up
7+ years of relevant engineering experience
Strong fluency in Python or TypeScript
Proven ability to ship full-stack features end-to-end
Experience integrating LLM APIs or building AI-augmented features
Strong debugging skills across backend and frontend
Clear communicator with a bias toward action and simplicity
Experience with agentic workflows or tool-use patterns
Familiarity with React, Node, FastAPI, Next.js, or similar frameworks
Exposure to workflow engines or event-driven systems
Experience in operations-heavy domains
Prior zero-to-one or startup experience
We value speed, clarity, and technical rigor. We favor simple systems over clever ones, prototypes over over-planning, and ownership over handoffs. You’ll work directly with founders and ship things that matter quickly.
Location & Work ModelThis is a hybrid role with regular in-person collaboration in Los Angeles or the San Francisco Bay Area. We are not a remote-only company.
Work AuthorizationCandidates must be authorized to work in the United States. We are not able to offer visa sponsorship for this role.
Benefits & EligibilityThis position is eligible for Skiffra’s standard benefits, including health insurance and retirement plans, and may also qualify for participation in the Company’s bonus and incentive programs.
Equal OpportunitySkiffra is an equal opportunity employer. We value diversity and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic.
Top Skills
What We Do
We translate complex, real-world environments into clear, actionable data. While most AI companies focus on digital industries, we design AI native orchestration systems for the sectors that extract, move, and build ecosystems around us. We turn messy, high stakes operations into intelligent, adaptive workflows that improve decisions in real time. Skiffra is led by Co-founders George Whitehouse, former head of Digital Transformation at Toyota who rebuilt complex mining operations into integrated, data driven systems, and Andy Smith, Intel and Dolby operator turned GP and 0-to-1 startup builder with more than 40 companies founded, advised, or invested and exits to DigitalOcean, IBM, Assa Abloy, and Cisco. In one recent nine month proof of concept focused on four value centers, the Skiffra team turned a 5 million dollar investment into a sustained 100 million dollar EBITDA lift for the client. Together they combine deep industrial execution with venture scale product discipline to build an AI operating system for mining first, and the wider physical world next.
Why Work With Us
We are well funded, offer best in class benefits and are building our founding technical team to work alongside our co-founders. Our first proving ground is mining and natural resources, but the platform is modular by design and built to scale into any industry where decisions are expensive and the consequences are real.








