Sr. Front End Engineer, Applied AI

🚀 About Lila Sciences

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai    

At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply.

🌟 Your Impact at Lila

We are seeking a Senior Frontend Software Engineer to join our Applied AI group and help shape the user-facing components of our cutting-edge AI-driven scientific platform. In this role, you will collaborate closely with software engineers, ML researchers, and scientists to build intuitive interfaces that simplify complex AI workflows. As part of a growing team, you will have an immediate impact on how our scientific community interacts with advanced AI frameworks and tools. 

Your work will be crucial to ensuring our end-users—ranging from computational biologists to experimentalists in the physical sciences—can effectively harness AI-driven capabilities in a seamless, accessible manner. If you are passionate about building high-performance, user-friendly web applications that empower novel scientific discoveries, we’d love to hear from you! 

🛠️ What You'll Be Building

• Front-End Architecture & Development: Design and implement scalable front-end architectures using modern frameworks (e.g., React) that interact with back-end AI services. 
• User Experience & Interface Design: Collaborate with product leads and UX designers to translate complex workflows into intuitive, engaging user experiences. 
• Integration with Agentic AI Platform: Work closely with the Senior SWE and ML teams to integrate user-facing components with AI-driven agentic systems, ensuring data flows seamlessly between front-end and back-end services. 
• Cross-Functional Collaboration: Partner with domain scientists, data engineers, and product managers to gather feedback and iterate quickly on UI/UX improvements. 
• Continuous Improvement: Stay current with emerging front-end tools, frameworks, and industry trends. Propose and champion improvements that enhance development workflows and end-user experiences. 

🧰 What You’ll Need to Succeed

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 
• Professional Experience: 3+ years of experience developing production-grade front-end applications, ideally with frameworks like React, Vue, or Angular. 
• JavaScript/TypeScript Proficiency: Solid knowledge of modern JavaScript (ES6+) and TypeScript for building robust, maintainable codebases.  
• UI/UX Fundamentals: Demonstrated ability to translate design requirements into visually polished, responsive, and accessible user interfaces. 
• API Integration: Comfortable working with RESTful or GraphQL APIs; able to handle real-time data streams and large data sets in a performant manner. 
• Communication & Collaboration: Proven track record of effectively working with cross-functional teams, explaining complex ideas, and incorporating diverse perspectives. 

✨ Bonus Points For

• Experience with production AI/ML applications: Prior work with AI/ML systems, including building, deploying, and maintaining large-scale models in real-world environments. Familiarity with MLOps best practices, model versioning, continuous integration/continuous deployment (CI/CD), and monitoring AI services in production is highly valued.  
• Hands-On Familiarity with Latest AI Concepts: Exposure to AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or agentic frameworks—and how they integrate into a software platform. 
• Domain Background: Exposure to life sciences, material sciences, or related fields. 
• Technical Leadership: Experience leading or mentoring a team and making key architecture decisions. 
• Previous experience in a fast-paced startup environment: Comfortable adapting quickly, working iteratively, and thriving in situations with evolving priorities and minimal structure. 

🌈 We’re All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

🤝 A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.