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Applied AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 11-50Since 2017H1B No SponsorCompany Site LinkedIn

Location

New York

Posted

115 days ago

Salary

Not specified

Bachelor Degree5 yrs expEnglishAWSCloudDockerKubernetes

Job Description

• 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.

Job 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!