Hiring: Senior AI Engineer Company: PURE Insurance Location: White Plains, NY Job Posted Time: 2026-09-10 10:21:46 Employment Type: Full-time / Hybrid Target Skills & Keywords : AWS, CI/CD, Databricks, Docker, Dynatrace, ECS, FastAPI, Fine-tuning, GDPR, GitHub, Java, LLM, LangChain, Machine Learning, NLP, OpenTelemetry, PyTorch, Python, RAG, SOC 2, Serverless, Terraform, scikit-learn About the job Experience: •5+ years of professional software engineering experience, with at least 1 year building and operating AI/ML systems in production. •At least 1 year building and operating AI/ML systems in production. Required Skills: •Build & Deploy AI Solutions •Implement RAG, knowledge base, and document intelligence patterns end-to-end: ingestion, chunking, embeddings, vector and hybrid search, retrieval evaluation, and telemetry. Build and maintain Databricks-backed knowledge bases and AI agent capabilities where appropriate. •Deliver governed data and features for ML and GenAI — curated datasets, feature pipelines, and feature serving — supporting both training workflows and real-time inference with consistency, caching, backfill support, and latency SLOs. •Build reusable AI agent skills, tool definitions, prompts, guardrails, and orchestration patterns that can be shared across PURE’s AI products and engineering teams. •Use LangChain, LangGraph, or comparable frameworks where appropriate to build agent workflows, tool-use orchestration, stateful reasoning patterns, and multi-step automation. •Implement trust, safety, and governance controls including PII handling, prompt-injection defenses, content filtering, and policy-based access controls — built in close partnership with security and risk teams. •Ensure AI outputs are auditable, explainable, and compliant with applicable regulatory requirements (SOC 2, NAIC, GDPR) — a non-negotiable in insurance. •Define and maintain data lineage and model versioning practices so every production inference can be traced, reproduced, and reviewed. Qualifications: •Background in insurance, fintech, or other regulated industries, with familiarity with compliance frameworks such as SOC 2, NAIC model laws, or GDPR. •Operational familiarity with ML frameworks (PyTorch, scikit-learn) for classical ML alongside LLM-based approaches. •Contributions to open-source AI/ML projects or published work in applied NLP or machine learning. •LLM-powered products shipped to production with measurable impact on member experience and operational efficiency. •AI systems that are reliable, governed, and trusted by compliance, risk, and operations teams — not just engineering. •Robust observability across all AI pipelines: cost is tracked, latency is within SLO, and nothing breaks silently. •A stronger AI engineering culture: the team learns from your code reviews, your ADRs, and your engineering standards. •Faster, higher-quality underwriting, claims, and member service decisions enabled by production AI. •We're a member-owned property and casualty insurer designed exclusively for financially successful families and driven by a purpose of doing what is right for our members. We provide exceptional service, hospitality and care, we partner with our members to help prevent losses and we create smart insurance solutions at fair prices. •We aim for our members to love their insurance Compensation: •$85,000 - $105,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!