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GenBio AI

Full Stack Engineer

GenBio AI, Palo Alto, California, United States, 94306

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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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