Applied AI Engineer

About Landing AI

LandingAI has always been a Visual AI company solving vision problems. We treat documents as visual artifacts and have taken on the challenge of systematically solving problems within the document understanding space. Overall, we are building foundational infrastructure for developers to extract information from their images and documents.

Our roots:

- An early pioneer in Agentic AI, which we have applied in practice with Agentic Document Extraction (ADE).

- Our LandingLens product, which has helped healthcare, finance, legal, and manufacturing teams address their visual AI challenges, maturing us in data-centric practices.

- A vision-first approach, now applied to building our in-house foundation models.

These three pillars—agentic AI, data-centric obsession, and a vision-first approach—inform our ADE product and this is what you will deeply experience while working at LandingAI.

Founded by Andrew Ng, one of the world’s leading AI researchers, LandingAI is committed to bringing cutting-edge research into production to solve real-world problems at scale.

We love and appreciate leadership, ownership, and founder energy. We value people with the guts to stand by their work and deliver, rather than offering empty talk. If this is you, you are already a culture fit and we would love to talk more.

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 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 our ADE platform.

• Take ownership of pre-sales technical engagements and help develop technical champions at prospects, customers, and partners.
• Engage directly with customers to understand business challenges and design custom demos and POCs leveraging ADE (schema-based extraction, validation, grounding).
• Lead client presentations, whiteboard sessions, and technical workshops, clearly communicating ADE’s value and differentiators.
• Design, develop, and deploy document AI and multimodal pipelines (OCR, LLM reasoning, validation, workflow integration).
• Deploy ADE across Snowflake, AWS, and enterprise VPCs using 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 roadmap priorities (schemas, retrieval, grounding, integrations).
• Partner with ISVs, OEMs, and SIs to extend ADE into verticalized solutions (invoices, contracts, financial reporting).
• Stay up to date with LLMs, agentic AI, and document processing frameworks, applying cutting-edge innovations to ADE.
• Contribute to white papers, case studies, and technical blogs highlighting customer success stories.
• Mentor teammates and foster excellence in agentic workflows and document AI best practices.

• Bachelor’s or Master’s degree in CS, Engineering, or a quantitative field, with a strong focus on ML/AI (LLMs, NLP, multimodal AI).
• Minimum 5 years of experience developing and deploying ML/AI models, with a track record in document processing, NLP, or LLM-driven workflows in a pre-sales or customer-facing role.
• Minimum 2 years of experience with cloud data platforms, preferably Snowflake.
• Understanding of enterprise sales processes (MEDDIC) and experience supporting sales teams in technical deal cycles.
• Outstanding communication and interpersonal skills, able to explain complex AI workflows (RAG, schema validation, grounding) to both technical and business audiences.
• Hands-on experience with containerization, REST APIs, and cloud deployment strategies.
• Strong problem-solving skills with a passion for applied AI and customer impact.
• Ability to work independently and manage multiple projects in a dynamic environment.

• Deep understanding of ML algorithms and deep learning frameworks (TensorFlow, PyTorch) and computer vision techniques (OCR, detection, segmentation, etc.).
• Deep understanding of LLMs, RAG systems, schema-based extraction, and agentic AI frameworks.
• Experience with document AI competitors (Instabase, hyperscaler Doc AI, KVP extraction tools) and ability to articulate LandingAI differentiation.
• Experience with cloud computing (AWS, GCP, Azure) and enterprise VPC deployments.
• Strong Python programming skills, plus familiarity with JavaScript, C#, or workflow automation tools.
• Prior work with OCR, NLP, and multimodal AI for unstructured documents (PDFs, images, audio, etc.).
• Linux experience is a plus.

• Health: Our people and their dependents* are covered by comprehensive medical, dental, and vision plans. 
• 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.
• Retirement: We offer a 401k matching plan to help you plan for your future! 
• 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 network! 

At LandingAI, 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’ll partner closely with engineering, product, customer success, and sales to design and deploy real-world document AI solutions that deliver impact for our customers.

To thrive here, you’ll need to align with our LandingAI Principles — please take a moment to read and understand them, as they shape how we work, make decisions, and collaborate as a team.

While our headquarters are in Mountain View, CA, this role prioritizes candidates on the East Coast (ideally NYC). We remain open to remote or hybrid arrangements within the U.S. for candidates who can collaborate effectively across time zones.

If you excel in environments where ownership, problem-solving, and rapid iteration are valued — and want your work to directly influence how AI is applied in production at scale — we’d love to hear from you. Apply today and help shape the future of applied AI.