Full Stack Engineer

Headquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of 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, )
• 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

Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security's E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.