Lead AI Engineer

About the role

Lead AI Engineer responsible for designing and delivering an AI‑powered compliance screening platform for regulated communications, architecting multimodal ingestion, retrieval‑augmented generation, and LLM‑driven reasoning, setting technical strategy, establishing evaluation and risk controls, mentoring engineers, and collaborating with compliance, legal, and product teams.

Requirements

• 8+ years of software engineering or machine learning experience with production AI/ML delivery.
• Experience in regulated industries such as finance, legal, or healthcare.
• Strong expertise in NLP and large language models.
• Hands‑on experience with retrieval‑augmented generation.
• Proficiency in model evaluation and benchmarking, including LLM‑specific evaluation.
• Familiarity with multimodal AI across text, image, and layout.
• Proficiency in Python and LLM orchestration or agent frameworks such as LangChain or AWS Strands.
• Experience with vector databases such as PG Vector or Pinecone.
• Background in document processing pipelines, including OCR and PDF parsing.
• Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure.
• Knowledge of MLOps, CI/CD, model monitoring, and scalable distributed system design.
• Experience with explainable AI and understanding of auditability and governance requirements.
• Exposure to industry regulations and compliance frameworks (preferred).
• Experience building legal or compliance‑focused AI systems (preferred).
• Familiarity with marketing or advertising review processes (preferred).
• Experience analyzing structured and unstructured documents, including charts and disclosures (preferred).
• Background in hybrid AI systems combining rules and machine learning (preferred).
• Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
• PhD preferred but not required.