Job Description
NYB is hiring a Senior Full Stack Engineer to help design and build a scalable, secure SaaS platform that runs AI/ML workloads, interactive pipelines, and no-code/low-code workflows for scientific users. You’ll work closely with ML researchers, product managers, and customers to turn scientific workloads into reliable production services.
Roles and Responsibilities:
- As a Full Stack Engineer, your primary responsibilities will include:
- Design, develop and maintain frontend and backend services for a multi-tenant SaaS platform.
- Build intuitive job/pipeline submission UIs (including no-code/low-code pipeline builders) and programmatic APIs.
- Integrate and operationalize AI/ML models and GPU-backed workloads (containerized model images, model versioning, result provenance).
- Implement asynchronous job orchestration, batch processing, queueing, retries and autoscaling.
- Ensure secure data handling, encryption, access control and tenant isolation.
- Develop and document REST/GraphQL APIs consumed by internal and external clients.
- Implement CI/CD, observability (logs/metrics/tracing), and automated testing for reliability.
- Troubleshoot production issues and optimize performance and cost of cloud resources.
- Collaborate with cross-functional teams to gather requirements, shape product features, and deliver customer-facing functionality.
Qualifications
- 1+ years full-stack experience building production web applications.
- Assist with AI/ML projects and integrate models into apps.
- Develop user interfaces using React and Next.js (TypeScript preferred).
- Support backend development with Python (FastAPI) or Node.js/NestJS.
- Work with Docker and Kubernetes for application deployment.
- Gain experience with cloud platforms (AWS/GCP/Azure).
- Experience with databases (SQL and NoSQL) and data modeling.
- Contribute to no-code/low-code interfaces and workflows.
- Participate in CI/CD processes and infrastructure-as-code practices.
- Basic English proficiency
Nice-to-have
- Hands-on experience with MLOps tooling (MLflow, Argo, Kubeflow, Step Functions).
- Experience with GPU compute stacks, CUDA, Conda, or packaging complex scientific toolchains.
- Background working with scientific users (bioinformatics, computational chemistry, or similar).
- Prior experience in multi-tenant SaaS or enterprise security (SSO/SAML, data isolation).
We provide a dynamic, fast-paced, and collaborative environment where problem-solving and agility are at the heart of what we do. Along with a competitive salary, we foster a culture that values ambition, confidence, and humility, consistently pushing the boundaries of innovation. If you're excited about working in a young, talented tech company and want to explore the world of AI and pharmaceuticals, we encourage you to apply.
- Competitive salary
- Workplace: This role is based in our Hanoi office, located in the vibrant Old Quarter. (From Monday to Friday: 9 am to 5 pm)
- Build a professional network through collaborations with pharmaceutical companies, industry leaders, and academic experts.
- Work on impactful projects that address critical challenges in drug discovery and healthcare.
Benefits
We provide a dynamic, fast-paced, and collaborative environment where problem-solving and agility are at the heart of what we do. Along with a competitive salary, we foster a culture that values ambition, confidence, and humility, consistently pushing the boundaries of innovation. If you're excited about working in a young, talented tech company and want to explore the world of AI and pharmaceuticals, we encourage you to apply.
- Competitive salary
- Workplace: This role is based in our Hanoi office, located in the vibrant Old Quarter. (From Monday to Friday: 9 am to 5 pm)
- Build a professional network through collaborations with pharmaceutical companies, industry leaders, and academic experts.
- Work on impactful projects that address critical challenges in drug discovery and healthcare.