About LandingAI:LandingAI™ delivers cutting-edge Visual AI solutions that empower customers to unlock the value of visual data. With visual data sets, companies realize the value of AI and move AI projects from proof-of-concept to production. Guided by a data-centric AI approach, LandingAI’s flagship product, LandingLens™, is a Visual AI platform that enables users to build, iterate, and deploy Visual AI solutions quickly and easily. With data quality being key to the success of production AI systems, LandingLens™ allows users to achieve optimal data accuracy and consistency. Additionally, LandingAI is a pioneer in the field of Large Multimodal Models (LMM), which enhance the ability to process and understand visual data at scale, making sophisticated Visual AI tools more accessible and efficient. Founded by Andrew Ng, co-founder of Coursera, founding lead of Google Brain, and former chief scientist at Baidu, LandingAI is uniquely positioned to lead the development of AI that benefits all. About the Job:As a Senior Frontend Engineer at LandingAI, you will be responsible for developing and deploying scalable AI applications By joining LandingAI, you will work with top-notch AI and Engineering teams to define and build powerful AI products, such as the LandingLens computer vision AI platform. With LandingAI, you will have the opportunity to deploy and scale AI services into different industries and work with us to unlock the economic impact behind AI adoption.
Here’s what you’ll do:
Design, develop, and deploy infrastructure and AI services. You will design, build, and scale the required infrastructure for Machine Learning services and data management with a focus on high availability, stable, low latency, scalability, and security. In this role, you will work closely with our Machine Learning Engineers and Technical Product Managers to understand the client and development requirements. You will be immersed in a highly dynamic and agile development environment.
Build and deliver high-quality AI products to clients’ hands. You will be responsible for building world-class web applications and services ensuring internal/external client satisfaction. This responsibility has two aspects: first, you will work closely with our Product Managers to understand and solve the clients’ real business and product needs; second, you will make sure both web computing products perform reliably with low latency.
Build internal tooling systems. Successful AI development is not only about the models used but also perfectly automatized pipelines. As a Software Development Engineer, you will boost our time-to-deployment by developing highly automated internal tools.
Take responsibility for the full software development cycle. You will take responsibility for architecting, developing, deploying, monitoring/maintaining services that are owned by your team. You must keep a high standard on coding, testing, automation of deployment, and monitoring. You must always be willing to get your hands dirty on troubleshooting issues.
Be part of a world-class A.I. team. At LandingAI you will be part of a fast-paced and learning-driven team. We are constantly striving to learn new things and develop ourselves. You will have the opportunity to learn many new skills and develop the existing ones. You are expected to help others to develop or improve their skills. You must be a team player and be open to give and receive constructive feedback.
Here’s the background we would like you to have:
CS Knowledge: Broad and deep foundation knowledge in computer science, including data structures, algorithms, OS, computer networks, databases and web development.
Proven Technical Expertise: 5+ years of software development experience, focusing on frontend engineering.
Experience with building user interfaces with HTML, CSS and Javascript
Experience with frontend development and frameworks (such as next.js, react.js)
Strong Full-Stack Understanding: Comprehensive knowledge of end-to-end web application systems, comfortable with API design, and a solid understanding of backend architecture. Able to design scalable solutions with a high degree of technical complexity.
Product Development: Experience with end-to-end product development, including early stages of development, launching, and iterating on complex solutions in production environments.
Mentorship Experience: Demonstrated experience leading front-end projects and mentoring other engineers. Capable of setting technical direction and establishing a strong technical presence within the team.
Flexible Work Hours: Comfortable working with a globally distributed team.
Bonus if you have:
Experience with modern database such as Postgres, ideally with popular Javascript ORM as well, (such as sequelize.js, prisma.js)
Experience with computer vision, LLMs, LMMs
Experience with developer-facing products
Experience with Docker and Kubernetes
Experience with AWS technologies such as S3, EKS
Experience working with international teams
LandingAI Benefits:
Health: Our people and their dependents are covered by comprehensive medical, dental, and vision plans*
Environment: We provide an allowance for you to set up a workstation however you want.*
Wellness: We offer a fitness stipend to be used on well-being and fitness programs.*
Lifelong learning: With an education stipend, you are encouraged to keep learning and growing.
PTO: We provided generous paid time off* so you can strive toward a balanced lifestyle.
Events: We love having fun! We set up regular virtual and in-person events to connect with each other.
Global Citizen: Our people reside in North America, Latin America, and Asia. Come and join our global team!
*Subject to country of employment
To succeed at LandingAI, you will have to fit well with our LandingAI Principles. Please take the time to read and understand them as they define who we are and what we look for in our candidates. Although we are headquartered in Palo Alto, this is a hybrid role. The candidate should be based in the San Francisco Bay Area or willing to relocate, with the expectation to work from the Palo Alto office 2-3 days a week. The role will also require flexibility to collaborate with our international teams.
