Senior AI Engineer, Unstructured AI

Responsibilities

• Own end-to-end technical delivery of unstructured AI systems from feature prototype through stable enterprise production.
• Write and review production-grade backend services using Python and FastAPI.
• Build and deploy document-processing systems for large-scale unstructured data environments.
• Integrate diverse enterprise data sources to provide context for AI features.
• Develop and scale full-stack systems that ingest, process, and enrich documents and other unstructured content.
• Collaborate with engineering, product, and sales teams from prototype through rollout.
• Occasionally contribute to modern frontend development.
• Define scope and acceptance criteria for ambiguous projects and ship end-to-end features.
• Drive enterprise-grade AI product features, high-performance data pipelines, and context-engineering capabilities.

Requirements

• Strong proficiency in Python for data processing, API development, and integrations.
• Production experience with Spark or comparable big data frameworks, including tuning and debugging jobs at scale.
• Hands-on experience with LLM-based and AI-driven enrichment such as classification, entity extraction, deduplication, and PII detection.
• Experience shipping tested and reviewed production services rather than notebooks.
• Experience ingesting and processing data from enterprise sources such as SharePoint, OneDrive, Salesforce, and SaaS-based knowledge bases.
• Strong understanding of data pipelines, microservice architecture, and API design.
• Familiarity with metadata systems, data cataloging, or document AI workflows.
• Knowledge of model evaluation best practices and experience with search relevance.
• Ability to independently define ambiguous problems, establish an MVP, document assumptions, and ship solutions.
• Practical agentic engineering experience, including agent loops, guardrails, structured outputs, context management, tests, review gates, and repository conventions.
• Bachelor’s degree or equivalent related working experience.
• Strong communication, stakeholder-management, risk-management, and decision-making skills.
• This position is not eligible for visa sponsorship.

Benefits

• Hybrid role based in New York with at least two days per week in the office.
• Flexible benefits supporting employees and their families, including health coverage and time off.
• Flex Fund monthly stipend.
• Pension/401k plans and equity eligibility for applicable roles.
• Equal opportunity workplace with applicant accommodations available.