AI Fund

Applied AI Engineer

AI Fund

full-time

Posted on:

Location Type: Remote

Location: Remote • New York • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AWSCloudDockerKubernetes

About the role

  • 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.

Requirements

  • 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.
Benefits
  • 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!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
document AImultimodal pipelinesOCRLLM reasoningvalidationworkflow integrationML modelsNLPcontainerizationREST APIs
Soft skills
communication skillsinterpersonal skillsproblem-solving skillsmentoringcollaborationindependenceproject managementcustomer engagementtechnical presentationsbusiness value articulation
Certifications
Bachelor’s degree in CSMaster’s degree in EngineeringML/AI focus