Principal Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal Software Engineer (AI): Designing and building agentic interfaces, APIs, and platform integrations for an AI-native scientific research platform with an accent on LLM orchestration, complex data architecture, and high-performance system design. Focus on building scalable infrastructure that connects AI models to automated lab workflows and multi-domain knowledge graphs to accelerate scientific discovery.
Location: Must be based in the USA (Cambridge, MA or San Francisco, CA)
Salary: $204,000 - $348,000 USD
Company
is an AI-native startup building a Scientific Superintelligence™ platform to autonomously execute the scientific method across medicine, materials, and energy.
What you will do
- Design and build high-performance, secure UI and APIs for AI-driven scientific applications.
- Develop and manage complex database architectures including SQL, NoSQL, and Vector databases.
- Drive full-stack implementation focusing on performance, maintainability, and system reliability.
- Optimize system bottlenecks to ensure high availability across large-scale workloads.
- Leverage AWS, Kubernetes, and modern DevOps practices for production-grade deployments.
- Collaborate with ML researchers and scientists to integrate data pipelines into scientific workflows.
Requirements
- 8-15 years of engineering experience in large-scale production systems.
- Full Stack proficiency with React, TypeScript, Python, and FastAPI.
- Proven ability to own complex backend challenges and architectural trade-offs.
- Experience using AI coding assistants to drive development productivity.
- Strong communication skills with the ability to collaborate cross-functionally with scientists.
- Must be authorized to work in the USA.
Nice to have
- Experience with AI agents, RAG pipelines, or LLM orchestration frameworks.
- Hands-on experience with AWS, Terraform, and CI/CD pipelines.
- Familiarity with data science libraries like PyTorch, JAX, or NumPy.
- Background in laboratory software, robotics, or scientific instrumentation.
Culture & Benefits
- Competitive base compensation with bonus potential.
- Generous early-stage equity package.
- Comprehensive U.S. benefits package.
- Work in a high-velocity startup environment focused on historic scientific impact.
- Collaborative culture centered on truth, trust, curiosity, and grit.
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