Full-Stack Software Engineer

This role requires a strong technical background in front-end development, UI/UX design, and expertise in API integration.

• 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).

• 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.

• 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.