Frontend Engineer

About Boson AI: At Boson AI, we are not just building AI solutions; we are pioneering the future of enterprise AI. Driven by a passion for cutting-edge AI research, particularly in the transformative areas of large language models and agentic systems, our mission is to tackle the most complex real-world problems for businesses and unlock significant value. We are a dynamic and collaborative team of researchers and engineers who thrive on pushing the boundaries of what's possible, dedicated to delivering high-quality, reliable products that seamlessly integrate into the fabric of enterprise workflows and set new industry standards.

About the Role: We are seeking a talented and versatile Frontend Engineer to join our growing team. In this pivotal role, you will lead the development of our next-generation LLM-powered platforms, crafting user interfaces and experiences that are intuitive, highly interactive, and designed for enterprise efficiency. You will work across the entire stack, from designing captivating front-end experiences with the latest JavaScript tooling to connecting robust backend services that integrate seamlessly with our advanced multimodal AI models. This is an exciting opportunity to directly shape critical enterprise applications, bringing cutting-edge AI to life for our clients.

Lead the full lifecycle development of our LLM-powered enterprise platforms, focusing on front-end implementations. Design and craft user interfaces and user experiences that are both intuitive and highly engaging, meticulously aligning with project requirements and user feedback. Develop intuitive data visualizations to monitor AI agent behavior, understand model performance, and gain insights from processed data. Utilize visual toolkits to track key metrics, identify patterns, and ensure the reliability and effectiveness of AI agents in enterprise applications. Optimize applications for maximum speed and scalability, ensuring all aspects of the platform are responsive and adapt flawlessly across various devices. Build real-time interactive features on the platform by leveraging both relational (RDBMS) and non-relational (NoSQL) database systems. Implement robust third-party authentication and comprehensive security features to protect user data and ensure platform integrity. Write clean, efficient, and well-documented code, adhering to best practices, coding standards, and project specifications.

Bachelor’s degree in Computer Science or a related field. A Master’s degree is highly desirable. Strong contribution record on GitHub. Please include your GitHub link in your application. 3+ years of substantial experience in full-stack web development, with a proven track record on both client-side and server-side components. Proficient understanding of HTML5 and modern JavaScript/TypeScript. Proficiency in Next.js and React.js for front-end development, with a solid track record of building complex, interactive web applications. Familiar with data visualization frameworks such as D3.js,Chart.js, ECharts, etc. Demonstrated experience in UI/UX design, capable of creating functional, aesthetically appealing, and intuitive user interfaces without external design support. Practical experience with Tailwind CSS, with a strong focus on responsive and adaptive design principles for optimal user experience across devices. Skilled in using real-time state management tools like Convex, Supabase, or Firebase. Familiarity with agile development methodologies and a strong understanding of CI/CD processes. Exceptional problem-solving skills, capable of both independent troubleshooting and collaborative innovation in a dynamic environment. Excellent communication skills, able to effectively convey complex technical details and project progress to team members and non-technical stakeholders. Strong organizational skills with the ability to manage multiple priorities and drive projects forward in a fast-paced startup environment.

Public Portfolio of work showcasing interactive web applications or creative projects is highly desirable. Experience integrating directly with machine learning APIs or services, especially those involving large language or multimodal models. Familiarity with MLOps practices or data pipelines. Experience with real-time communication protocols beyond basic API calls (e.g., WebSockets, WebRTC for advanced interactivity).

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