Aifund
Customer-facing Applied AI Engineer
Mountain View, CA
Sponsorship not specified$175k-$225kDetected 26 days ago
JavaScriptPythonC#AlgorithmsSnowflakeAWSGCPAzureDockerKubernetesMachine LearningDeep LearningTensorFlowPyTorchNLPComputer VisionLLMsRAGAgentic AIMLOpsProduct ManagementSalesFinancial AnalysisCustomer Success
About the role
- 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.
- Deploy models and connectors across Snowflake, AWS, and enterprise VPCs, using containerization (Docker/Kubernetes) and APIs to ensure scalability and security.
Responsibilities
- 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).
- Collaborate with sales to articulate technical and business value, supporting executive briefings, proposals, and ROI analyses.
- 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.
- Mentor teammates and foster a culture of excellence in agentic workflows and document AI best practices.
- 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.
- 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.
Nice to have
- Deep understanding of LLMs, RAG systems, schema-based extraction, and agentic AI frameworks.
- Programming languages other than Python primarily JavaScript or C#
- If this sounds like the place for you, apply today and help shape the future of applied AI.
Skills
- About LandingAI
Compensation
- $175k-$225k
Benefits
- A vision-first approach to foundation models.
Company info
- We are looking for a passionate Applied AI Engineer with strong expertise in document processing, LLMs, NLP, and multimodal AI.
- Engage directly with customers to understand their business challenges and technical needs; designing custom demos and POCs leveraging Agentic Document Extraction.
- 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
This listing is sourced directly from Aifund's careers page and normalized into a canonical job model.