Full-Stack Software Engineer

As a Full Stack Software Engineer, you will be responsible for designing, building, and maintaining the user interface and user experience of our SaaS application. Working closely with backend developers, data scientists, and machine learning engineers, you will integrate ML-powered features to deliver high-performance, seamless user experiences. This role requires a strong technical background in front-end development, UI/UX design, and expertise in API integration.

Key Responsibilities

• UI/UX Design: Design, develop, and maintain intuitive, responsive user interfaces that prioritize user experience and accessibility.
• Performance Optimization: Optimize front-end performance to minimize load times and latency, ensuring smooth interaction with ML-powered features.
• API Integration: Collaborate with backend developers to integrate RESTful or GraphQL APIs, enabling efficient data flow to the front end.
• Component Library Development: Build and maintain a reusable component library to ensure consistent UI/UX across various application features.
• ML Feature Integration: Work with backend and ML engineers to integrate ML models into the front end, optimizing for real-time responsiveness and usability.
• Testing & Debugging: Write unit and end-to-end tests to ensure the robustness and reliability of front-end components.
• Documentation: Document front-end components and integration workflows to support ongoing development and ease of use.
• Collaboration: Partner with product managers, designers, and ML engineers to define requirements and deliver solutions that meet user needs.

• Experience: 3+ years as a Developer or Software Engineer.
• Frontend Technologies: Proficient in JavaScript/TypeScript, React.js and  Next.js. Experience with Angular or Vue.js, along with skills in HTML5 and CSS3, is a plus.
• UI/UX Design Skills: Strong experience in UI/UX design, wireframing, and prototyping using Figma, Sketch, or Adobe XD.
• API Integration: Proficiency in consuming RESTful APIs and/or GraphQL.
• Frontend Performance Optimization: Knowledge of tools and techniques for optimizing front-end performance.
• Version Control: Proficient with Git and version control workflows.
• Microservices: Experience with microservices architecture.
• Real-Time Processing: Knowledge of real-time data processing and WebSocket integration.
• DevOps Skills: Basic experience with DevOps practices to support deployment and monitoring of ML models.
• Testing Tools: Familiarity with front-end testing frameworks (e.g., Jest, Cypress).

Key Skills

• Strong problem-solving skills with a keen attention to detail.
• Excellent communication and collaboration skills.
• Deep understanding of software development best practices, including security and scalability.
• Ability to work independently and as part of a team in a fast-paced, evolving, startup environment.

Nice to haves

• Cloud & CI/CD: Familiarity with cloud providers (GCP) and CI/CD pipelines.
• Containerization: Knowledge of Docker and container orchestration.
• Database Skills: Experience with relational databases such as PostgreSQL.
• Data Visualization: Familiarity with data visualisation libraries and tools such as  Plotly.js, Chart.js, D3.js, Highcharts, ECharts, and uPlot is a strong plus.

• Competitive salary and benefits package.
• Opportunities for professional development and career advancement.
• A collaborative and innovative work environment at the forefront of AI-powered biotech research.
• The chance to make a significant impact on the treatment of medical disorders through cutting-edge science and technology.