Software Engineer Intern

Salary Range: 8000 to 10000 (Currency: USD) (Pay period: per-month-salary)

Responsibilities:

• Collaborate with a small, fast-moving team to build and scale the full-stack applications that interface directly with our proprietary models.

• Take end-to-end ownership of software projects, with a strong emphasis on developing seamless, interactive frontend user interfaces while also architecting the backend services to support them.

• Design and deploy scalable backend systems, including setting up robust RESTful APIs, connecting relational or NoSQL databases, and managing end-to-end CRUD operations.

• Implement core observability practices such as structured logging, distributed tracing, and system metrics to ensure all applications are performant, reliable, and easy to debug.

• Work closely with AI/machine learning researchers and computational biologists to integrate GenBio AI’s state-of-the-art foundation models into functional, user-facing web platforms.

• Act as a proactive self-starter, independently pushing projects forward from conception to deployment to drive our engineering agenda and generate real-world impact.

Qualifications

• Currently enrolled in a full-time Master's or Ph.D program in Computer Science, Software Engineering, or a related technical field.

• Possess exceptional software engineering fundamentals, demonstrating a deep understanding of data structures, algorithms, and modular system design.

• A strong coder with excellent skills in modern frontend development, specifically fluent in React and TypeScript for building responsive, state-driven user interfaces.

• Have solid hands-on experience designing backend architectures, particularly utilizing FastAPI (or similar frameworks) to build scalable Python-based backend services.

• Demonstrate a highly adaptable, self-starter mentality with the ability to work independently, manage ambiguity, and thrive in a fast-paced, highly collaborative start-up environment.

• Derive a great deal of satisfaction from building reliable full-stack software, debugging complex issues across the stack, and continuously improving the end-user experience.

Nice to Have:

• Hands-on experience with containerization and orchestration platforms, specifically Kubernetes, for deploying scalable microservices.

• Familiar with instrumenting applications for observability, including practical knowledge of how to properly implement logging, metrics collection, and tracing in a production-like environment.

• Familiarity with advanced observability, telemetry, and monitoring tooling such as OpenTelemetry, Grafana and Prometheus.

• A demonstrated passion for software development evidenced by active open-source contributions, robust personal side projects, or previous impactful software engineering internships.