About LandingAI

LandingAI is building the infrastructure to make the world’s documents computable.We are an AI-native company transforming PDFs, PowerPoints, JPGs and other unstructured or semi-structured documents and images into structured data that software can understand and act on. Our focus is on the hardest document understanding problems with complex layouts, tables, images, handwriting, charts, photographs and mixed modalities.

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.

About LandingAI

LandingAI is building the infrastructure to make the world’s documents computable.We are an AI-native company transforming PDFs, PowerPoints, JPGs and other unstructured or semi-structured documents and images into structured data that software can understand and act on. Our focus is on the hardest document understanding problems with complex layouts, tables, images, handwriting, charts, photographs and mixed modalities.

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.

About the Role

We are looking for a passionate Applied AI Engineer with strong expertise in document processing, LLMs, NLP, and multimodal AI. This role sits at the intersection of engineering, product, customer success, and sales, contributing both to technical innovation and to strategic, customer-facing engagements.

You'll join a team that blends cutting-edge AI research with the grit and speed of a fast-moving startup. As an Applied AI Engineer, you will design and implement state-of-the-art document AI solutions, lead pre-sales technical efforts, and ensure successful deployments that drive measurable business outcomes for customers. You’ll work cross-functionally with product, engineering, GTM, and partners to help shape the future of the Agentic Document Extraction platform.

Key Responsibilities

Take ownership of LandingAI's pre-sales technical engagements and help develop technical champions at prospects, customers, and partners.

Engage directly with customers to understand their business challenges and technical needs; designing custom demos and POCs leveraging Agentic Document Extraction.

Lead client presentations, whiteboard sessions, and technical workshops, clearly communicating the value, differentiators, and capabilities of Agentic Document Extraction compared to hyperscaler tools or competitors.

Lead the design, development, and deployment of document AI and multimodal pipelines (OCR, LLM-based reasoning, extraction validation, workflow integration).

Deploy models and connectors across Snowflake, AWS, and enterprise VPCs, using containerization (Docker/Kubernetes) and APIs to ensure scalability and security.

Collaborate with sales to articulate technical and business value, supporting executive briefings, proposals, and ROI analyses.

Provide structured customer feedback to Product and Engineering, shaping the Product roadmap.

Partner with ISVs, OEMs, and SIs to extend ADE into verticalized solutions (e.g., invoice reconciliation, legal contract parsing, financial reporting).

Stay current on the latest in LLMs, agentic AI, and document processing frameworks.

Contribute to white papers, case studies, and technical blogs showcasing art-of-the-possible workflows and customer success stories.

Mentor teammates and foster a culture of excellence in agentic workflows and document AI best practices.

What You’ll Need to Succeed:

Be based in the San Francisco Bay Area — and able to work in a hybrid/in-office environment in Mountain View.

Bachelor's or Master's degree in Computer Science, Engineering, or quantitative field, with a strong focus on ML/AI (LLMs, NLP, multimodal AI).

5+ years of experience designing AI/ML solutions, with a proven track record in document processing, NLP, or LLM-driven workflows in a pre-sales or customer-facing role.

2+ years of experience with cloud data platforms, preferably Snowflake.

Strong Python skills to guide coding agents and debug AI-written code.

Ability to use Claude CLI to develop prototype pipelines for customers. Ability to use Claude CLI to build apps and tools to automate recurring internal work.

Hands-on experience with Cloud computing (AWS, GCP, Azure) and enterprise VPC deployments in these environments.

Demonstrated understanding of enterprise sales (MEDDIC) and experience supporting sales teams in technical deal cycles.

Outstanding communication skills; able to explain complex AI workflows (RAG, schema validation, grounding) to both technical and business stakeholders.

Strong problem-solving skills with a passion for applied AI and customer impact.

Self-directed and able to manage multiple projects in a dynamic environment.

Nice-to-Have

Prior work with OCR, NLP, and multimodal AI for unstructured documents (PDFs, scanned images, photographed documents).

Deep understanding of LLMs, RAG systems, schema-based extraction, and agentic AI frameworks.

Familiarity with document AI competitors (e.g., Reducto, LlamaParse, Instabase, Hyperscaler Doc AI, KVP extraction systems)

Programming languages other than Python primarily JavaScript or C#

Deep understanding of ML algorithms and deep learning frameworks (TensorFlow, PyTorch), including computer vision techniques (image recognition, OCR, object detection, segmentation).

Banking, Insurance, Healthcare or Legal industry experience.

LandingAI Benefits

Stock Awards – We want you to share in our success with equity grants.

Comprehensive Healthcare – Medical, dental, and vision coverage for you and your dependents.*

Wellness Stipend – Support for your health and well-being, whether it’s fitness programs or self-care.*

Lifelong Learning – An education stipend to help you grow and keep learning.

Retirement – We offer a 401k matching plan to help you plan for your future!

*Benefits may vary based on your country of employment.

At LandingAI, you won't just build AI — you'll put it to work. We move fast, we own our outcomes, and we care deeply about the impact our technology has in the real world.

While our headquarters are in Mountain View, CA, this role is intended for candidates based in the San Francisco Bay Area who are excited to work in a hybrid/in-office environment and collaborate closely with cross-functional teams.

If this sounds like the place for you, apply today and help shape the future of applied AI.