# Applied AI Engineer
**Company:** [AI Fund](https://hotfix.jobs/companies/ai-fund)
**Location:** Mountain View, CA
**Salary:** $175K-$225K
**Experience:** 5+ years
**Skills:** Python, LLMs, NLP, Ocr, RAG, Snowflake, AWS, Docker, Kubernetes, TensorFlow, PyTorch, Computer Vision
**Posted:** 2026-06-25
> Design and deploy document AI and multimodal pipelines for complex document understanding. Lead pre-sales technical engagements, customer POCs, and deployments across Snowflake, AWS, and enterprise VPCs.
## Job Description
## 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.

## Requirements
- 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-Haves
- 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.
**Apply:** https://hotfix.jobs/jobs/applied-ai-engineer-at-ai-fund-7079c488-50b3-4941-869c-9a193cd36530
**Canonical:** https://hotfix.jobs/jobs/applied-ai-engineer-at-ai-fund-7079c488-50b3-4941-869c-9a193cd36530