Software Engineer, Infrastructure (AI)

Location: London, United Kingdom; hybrid remote and in-office work

Company

hirify.global is a public benefit company building AI-powered molecular modeling tools and production-grade software for biology and drug discovery.

What you will do

• Design, implement, and maintain reliable backend and infrastructure components for hirify.global Lab.
• Build APIs and scalable services supporting ML inference, product features, and large-scale molecular modeling workflows.
• Scale inference workloads and evolve data ingestion, storage, and processing pipelines.
• Operate foundational infrastructure while meeting performance, reliability, uptime, and cost requirements.
• Collaborate with ML researchers, product engineers, and scientists to turn advanced models into dependable production services.
• Own infrastructure projects end-to-end, from concept through deployment, and make pragmatic technical trade-offs.

Requirements

• Strong experience building and operating backend or infrastructure systems in production.
• Strong software engineering fundamentals and experience designing reliable, maintainable, and well-tested systems.
• Experience designing and scaling APIs and services for external users or internal teams.
• Proficiency with Python and/or TypeScript and relational databases such as Postgres.
• Hands-on experience with cloud and containerized environments such as AWS, Docker, and Kubernetes.
• Ability to collaborate across engineering, research, and product while taking ownership of critical infrastructure.

Nice to have

• Experience supporting or integrating machine learning systems, including inference services, batch pipelines, or training workflows.
• Exposure to scientific computing, computational biology, or chemistry workflows.
• Experience designing data pipelines for large, complex, or high-throughput datasets.
• Familiarity with operating systems under latency, cost, uptime, and rapid-iteration constraints.
• Experience in an early-stage or fast-moving startup environment.

Culture & Benefits

• Opportunity to build tools used by thousands of scientists across biotech, academia, and research organizations.
• Significant ownership and independence across projects.
• Work alongside a talent-dense team in AI, biology, and scientific computing.
• Competitive salary with substantial equity ownership.