Full Stack Engineer

Overview

Headquartered in Silicon Valley, we are a newly established start-up where a collective of scientists, engineers, and entrepreneurs are dedicated to transforming biology and medicine through Generative AI. We are pioneering a new era of biomedicine with pan-modal Large Biological Models (LBM) and a strong focus on healthcare advancements. We are committed to decoding biology holistically and enabling life-transforming solutions. Join us as we redefine the future of biology and medicine through Generative AI.

Responsibilities

• Design, build, and maintain modern, responsive full-stack web applications
• Translate user flows and designs into robust, scalable code
• Collaborate with product, design, and AI/ML teams to deliver seamless user experiences
• Develop and maintain backend services, APIs, and data pipelines
• Integrate front-end interfaces with backend APIs and AI/ML model serving infrastructure
• Ensure high performance, accessibility, and cross-browser/device compatibility
• Contribute to shared component libraries and internal design systems
• Define and improve development workflows, coding standards, and best practices
• Monitor and improve system performance, observability, and reliability

Requirements

• 4+ years of experience as a full-stack or front-end/backend engineer
• Strong programming skills in JavaScript/TypeScript, Python, and modern frameworks (e.g., React, FastAPI, Node.js)
• Experience developing, testing, and deploying production-grade web applications
• Proficiency in HTML/CSS (including SCSS) and responsive UI development
• Experience with RESTful and/or GraphQL API design and integration
• Familiarity with front-end testing tools, animation libraries, or data visualization frameworks
• Experience working with modern CI/CD pipelines, Git workflows, and agile development
• Experience deploying applications in cloud environments (e.g., AWS, GCP, Azure)
• Strong understanding of containerization (e.g., Docker) and orchestration tools like Kubernetes
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Nice to Have

• Experience serving large language models or working with AI/ML model inference infrastructure
• Familiarity with AI model serving frameworks such as Triton Inference Server, HuggingFace Transformers/Spaces, or Gradio
• Prior work with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton)
• Experience developing tools or interfaces for scientific, medical, or biological data
• Knowledge of bioinformatics tools or biological data modalities (e.g., genomic, proteomic, single-cell)
• Contributions to open-source projects
• Experience working in a fast-paced startup environment
• Understanding of FAIR data principles and reproducible research workflows

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Additional Information

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Software Development

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