Founding Full Stack Engineer
Founding Full-Stack Engineer
Location: Remote
Employment Type: Full-time
Compensation: Starting at $200,000+
A stealth-mode deep-tech startup is seeking a Founding Full-Stack Engineer to build the core engineering foundation behind an AI-driven materials discovery platform. You'll architect and scale the systems that power high-fidelity simulations, real-time experimentation, and synthetic data generation, collaborating closely with world-class AI and LLM researchers to bring cutting-edge scientific tools to life.
This role is ideal for someone who thrives in zero-to-one environments, operates with autonomy, and enjoys designing robust cloud infrastructure and data pipelines that support advanced research workflows.
Key Responsibilities
* Architect and implement scalable full-stack systems supporting scientific simulation and synthetic data workflows
* Build cloud infrastructure for distributed compute, real-time experimentation, and high-volume data pipelines
* Collaborate directly with AI and LLM researchers to translate research prototypes into production-ready systems
* Lead end-to-end engineering initiatives from design to deployment, owning architecture and iteration
* Establish engineering best practices, tooling, and culture as an early foundational team member
Qualifications
* 5+ years of experience building production systems across backend, infra, and cloud environments
* Strong background with distributed systems, data pipelines, and Kubernetes orchestration
* Experience working closely with machine learning or LLM research teams
* Proven ability to operate in fast-paced, early-stage startup environments
* Excellent problem-solving skills and strong cross-functional collaboration
* Remote role with a preference for candidates able to collaborate occasionally in London or San Francisco, though this is not required
Bonus: Experience in scientific computing, simulation-heavy systems, or high-performance cloud architectures
Benefits
* Competitive compensation with meaningful early equity
* Highly flexible working model
* Opportunity to work directly with leading AI and scientific research talent
Additional Details
* Applicants must be authorized to work in their respective locations (Visa transfers available, sponsorship not offered)
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