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
Being 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.
Owning and defining architecture for AI-powered applications and services, ensuring scalability, security, and maintainability across teams.
Designing, developing, and deploying backend infrastructure and AI services with a focus on high availability, performance, and reliability.
Leading cross-functional initiatives, collaborating with Machine Learning Engineers, Product Managers, and other teams to align technical solutions with business needs.
Driving innovation by making strategic technical decisions, setting best practices, and mentoring engineers to elevate the team’s technical bar.
Improving developer experience by building internal tooling, streamlining workflows, and optimizing deployment pipelines.
Ensuring seamless data flow, building high-throughput, secure, and scalable data pipelines to support AI model training and deployment.
Championing best practices in software engineering, ensuring high-quality code, rigorous testing, and well-documented design decisions.
Required Skills
5+ years of experience in software development, with a strong backend / full-stack engineering background.
Fluency with agentic coding tools (Claude Code, Codex or equivalent). Experience writing effective specs, managing repo context, and reviewing/verifying agent output.
Expertise in backend development, with proficiency in Python and/or Node.js and modern web frameworks like FastAPI, Flask, Express.js, Next.js
Strong software architecture skills, with experience designing and scaling distributed systems and cloud-based applications.
Hands-on experience with Docker and Kubernetes for containerization and orchestration.
Database expertise, including SQL, NoSQL, and data streaming solutions.
Experience working with cloud platforms such as AWS, GCP, or Azure.
Proficiency in software engineering best practices, including code reviews, unit testing, CI/CD pipelines, and system design.
Experience mentoring engineers and contributing to team-wide technical direction.
Strong communication skills, with the ability to translate technical challenges into business impact.
Proven track record of leading fullstack projects, from early prototypes to production systems.
Nice to Have
Familiarity with Stripe, subscription management.
Exposure to computer vision, LLMs, or multimodal AI applications.
Experience with developer-facing products and building intuitive APIs.
Skills Required
- 5+ years of experience in software development
- Strong backend or full-stack engineering background
- Proficiency in Python and/or Node.js
- Experience with modern web frameworks like FastAPI, Flask, Express.js, Next.js
- Hands-on experience with Docker and Kubernetes
- Database expertise including SQL, NoSQL, and data streaming solutions
- Experience working with cloud platforms such as AWS, GCP, or Azure
- Experience mentoring engineers and contributing to team-wide technical direction
- Strong communication skills
- Proven track record of leading fullstack projects
AI Fund Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AI Fund and has not been reviewed or approved by AI Fund.
-
Healthcare Strength — Health coverage is portrayed as strong with great healthcare and dental coverage, plus vision insurance, long-term disability, and life insurance. Feedback suggests this aligns with tech-standard benefits for US roles at a small venture studio.
-
Retirement Support — Retirement benefits include a 401(k) plan with employer match for US employees. Feedback suggests this forms part of a competitive total package for fund roles.
-
Parental & Family Support — Family support includes fully paid parental leave for applicable roles. Feedback suggests this is a standout benefit for an organization of this size.
AI Fund Insights
What We Do
Who is AI Fund? We are a team of AI pioneers, proven entrepreneurs, seasoned operators, and venture capitalists that collaborates with leading entrepreneurs to solve big challenges using artificial intelligence. Founded in 2017 by Dr. Andrew Ng, AI Fund is backed with $176 million in capital by some of the leading VC firms and investors, including NEA, Sequoia, and Greylock. How Are We Different? We work with entrepreneurs during their startup’s most critical and risky phase, from 0 to 1. At the earliest stages, your company strategy is still being formed, and you’re still on the path to demonstrating your idea’s full potential – this is a reality we understand. This is the period when decisions on product strategy, market fit, and team are most critical, moving fast and fixing parts of your business when you have limited resources is a challenge. We believe the best way to help entrepreneurs is by providing our time, expertise, and resources to help flesh out these key strategic decisions. Making the right decisions at the right time can often make the difference. We are here to improve these dynamics, at a time when the help matters the most. Why Work With AI Fund? Getting a startup from idea to Series A funding is not easy. We’ve been there and understand the challenges you must overcome. Whether you desire limited help and just want access to our unique ecosystems of AI experts and entrepreneurs or you would like our full support, we are interested in the opportunity to help in your success. We are flexible in how we work with companies, but ultimately, we are here to maximize your chance of success and accelerate getting your company to market. We provide the capital, expertise, and resources to accelerate the work required to minimize risks in your startup, help you rise above the noise, and make your company more attractive to new investors.
