About LandingAI
LandingAI is building the infrastructure to make the world’s documents computable.
We are an AI-native company transforming unstructured and dark data into trusted, structured, auditable data that software can understand and act on. Our focus is on the hardest document understanding problems: multiple document types, complex layouts, tables, images, handwriting, and mixed modalities within and across workflows.
Founded by Andrew Ng, LandingAI has brought together some of the strongest AI Engineers and Machine Learning Engineers in the industry, with deep expertise in visual AI, agentic systems, foundation models, and production ML infrastructure. We build from the ground up where it matters, move fast with the latest AI coding tools and agentic developer workflows, and invest in the compute and technical environment needed to do exceptional work.
Our work is grounded in three core strengths:
Agentic systems built for production. We have been early builders of agentic AI systems and have applied that work in the real world through Agentic Document Extraction (ADE), our platform for parsing, understanding, and extracting information from complex documents with traceability, control, and production-grade reliability.
A data-centric mindset. We bring a rigorous, practical approach to model quality, edge cases, evaluation, and real customer data, because solving document understanding in production requires far more than strong benchmark performance.
- A vision-first approach to foundation models. We build from the ground up where it matters, including specialized document models and agentic systems, because solving real document understanding problems requires more than stitching together generic components.
Since launching Agentic Document Extraction in early 2025, LandingAI has grown quickly by bringing a modern, AI-native approach to a legacy intelligent document processing market ready for disruption.
This is a place for builders. If you want to work on real technical depth, move quickly, take ownership, and help define the future of document intelligence, LandingAI is the place to do it.
Key Responsibilities:
Be a driving force for the team's agentic coding practice - establishing patterns for spec-driven development, context engineering, and multi-agent orchestration that compound team output.
Collaborate cross-functionally with product managers, designers, and backend/ML engineers to deliver solutions that solve real customer problems.
Architect, develop, and maintain modern, responsive web applications using React.js, Next.js, and TypeScript.
Implement pixel-perfect, accessible UI components leveraging Tailwind CSS, ShadCN, or other modern styling frameworks.
Ensure frontend performance, scalability, and reliability, optimizing for low latency and a seamless user experience.
Take ownership of the full software development lifecycle: design, development, testing, deployment, and monitoring of frontend systems.
Mentor and guide engineers, setting best practices for UI development, code quality, and technical direction.
Contribute to developer experience, working with backend teams to design intuitive APIs and ensure smooth integration across the stack.
Stay ahead of trends in frontend engineering and bring fresh ideas to elevate user experience and productivity.
Required Skills:
Fluency with agentic coding tools (Claude Code, Codex or equivalent). Experience writing effective specs, managing repo context, and reviewing/verifying agent output.
5+ years of professional experience in frontend development with a strong focus on React.js and Next.js.Proficiency in JavaScript, TypeScript, and ES6+ features.
Strong product sense and customer empathy. Comfortable making judgment calls on scope, UX tradeoffs, and what's worth building without waiting for a spec.Deep experience with modern UI frameworks (Tailwind CSS, ShadCN, or similar).
Solid understanding of web application architecture and frontend–backend interactions.
Proven track record of leading frontend projects, from early prototypes to production systems.
Strong collaboration skills across engineering, product, and design teams.
Experience mentoring engineers and contributing to team-wide technical direction.
Nice to Haves:
Experience with databases (e.g., Postgres) and ORMs (Prisma.js, Sequelize.js).
Exposure to computer vision, LLMs, or multimodal AI applications.
Experience building developer-facing products (e.g., SDKs, dashboards, APIs).
Familiarity with Docker, Kubernetes, and cloud environments (AWS/GCP/Azure).
Experience simplifying user experiences for complex, enterprise-facing software.
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