Engineer

Key Responsibilities

• Frontend Development:

• Develop user-centric web applications using React, Vue.js, and Next.js. Write efficient, modular, and reusable code in JavaScript and TypeScript. Collaborate with designers to ensure seamless and responsive UI/UX. Optimize applications for maximum speed and scalability across devices.

• Backend Development:

• Build, optimize, and scale APIs using Python frameworks like FastAPI. Implement database solutions with PostgreSQL or equivalent relational databases. Utilize SQLAlchemy for ORM and efficient data modelling. Work on microservices architecture and develop scalable backend systems.

• AI Research:

• Engage with and contribute to AI-driven solutions, researching and integrating AI models and technologies into the stack. Stay up to date with advancements in AI, Machine Learning, and related technologies, integrating them into the development process when relevant.

• Performance Optimization:

• Optimize both frontend and backend applications for performance and scalability. Implement caching, load balancing, and other strategies to handle large-scale data and traffic. Debug, monitor, and improve application performance in production environments.

• Collaboration:

• Collaborate with different AI research teams, and product designers. Participate in code reviews, design discussions, and contribute to a culture of learning and innovation.

• Required Skills

• Frontend:

• Strong experience in React, Vue.js, Next.js, and JavaScript/TypeScript. Familiarity with state management libraries (e.g., Redux, Vuex). Experience with responsive design, CSS, and cross-browser compatibility.

• Backend:

• Proficient in Python, with a focus on FastAPI or equivalent frameworks. Experience with ORM libraries such as SQLAlchemy. Strong understanding of RESTful API development and microservices architecture.

• Database:

• Proficiency in SQL databases like PostgreSQL and experience with database optimization techniques. Familiarity with NoSQL databases.

• Performance Scaling:

• Knowledge of performance optimization techniques, caching strategies, and load balancing. Experience with containerization (Docker) and orchestration tools (Kubernetes) is a plus.

• Cloud and DevOps:

• Experience with cloud platforms (Azure, GCP, AWS). Familiarity with CI/CD pipelines and DevOps practices.

• Mindset:

• A passion for AI and continuous learning, with a proactive approach to staying updated on emerging technologies and AI research. Strong problem-solving skills and the ability to think critically.