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.
- 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.
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 Forward Deployed 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 Forward Deployed 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.
Skills Required
- Be based in the San Francisco Bay Area and able to work hybrid/in-office in Mountain View.
- Bachelor's or Master's degree in Computer Science, Engineering, or quantitative field with ML/AI focus.
- 5+ years designing AI/ML solutions with proven experience in document processing, NLP, or LLM-driven workflows in a pre-sales/customer-facing role.
- 2+ years experience with cloud data platforms (preferably Snowflake).
- Strong Python skills.
- Ability to use Claude CLI to develop prototype pipelines and internal automation tools.
- Hands-on experience with cloud computing (AWS, GCP, Azure) and enterprise VPC deployments.
- Experience deploying models and connectors using containerization (Docker/Kubernetes) and APIs.
- Demonstrated understanding of enterprise sales (MEDDIC) and experience supporting technical deal cycles.
- Outstanding communication skills; able to explain AI workflows (RAG, schema validation, grounding) to technical and business stakeholders.
- Self-directed and able to manage multiple projects in a dynamic environment.
- Prior work with OCR, NLP, and multimodal AI for unstructured documents (PDFs, scanned images).
- Deep understanding of LLMs, RAG systems, schema-based extraction, and agentic AI frameworks.
- Familiarity with other programming languages such as JavaScript or C#.
- Experience with ML frameworks and computer vision (TensorFlow, PyTorch, OCR, object detection, segmentation).
- Industry experience in Banking, Insurance, Healthcare, or Legal.
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.
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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.
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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.
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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.
