Senior AI Engineer

We're looking for a Senior AI Engineer to lead the technical build of AI-solutions Experience: 6-10 Years in Software/ML Engineering, including 2+ years in Gen AI and Document Parsing. Key Responsibilities Design pipelines that process unstructured data. Build extraction logic to find key terms and metadata. Build multimodal classification (text and image) Design the system to scale during catastrophe events Build extraction and validation rules.

Classify routine operational requests such as evidence of insurance, cancellations, payment plan changes, document uploads, and inspection reports. Implement rule-driven automation for known, low-risk scenarios. Define and tune confidence thresholds for auto-fill, auto-classification, auto-routing, and manual review, including handling for multiple-match results. Design human-in-the-loop review, user override, audit logging, and traceability for every AI-suggested or AI-executed action.

Integrate with shared email inboxes, workflow queues, and other channels. Build evaluation sets. Protect PII and sensitive claim data through access controls, retention rules, and compliance requirements. Work with business architects and client stakeholders. Review code and designs, set engineering standards, and mentor AI engineers. Required Skills Strong Python and software engineering fundamentals: APIs, testing, Git, CI/CD.

Hands-on experience with LLM APIs, including multimodal (vision) models, for extraction and classification. Experience with document AI and OCR services and handling low-quality scans. Experience building email ingestion pipelines with attachment parsing. Solid understanding of confidence scoring, calibration, and precision/recall trade-offs for automation decisions. Production deployment on cloud, with queue-based and event-driven architectures that scale under load.

Ability to explain design choices and risks clearly to claims and underwriting business users. Nice to Have Experience with entity matching with system of records data (Fuzzy matching, identifier validation) Fine Tuning or small model optimization for classification at high volume. Interest in or exposure to the insurance or financial services domain. Cloud AI Certification. Degree in Computer Science, IT, Data Science, or a related field.