Senior AI Engineer
Pure Insurance3 months ago
Remote, United States or White Plains, NY, USASenior
Base Salary
$85k - $105k/yr
Responsibilities
- Design, build, deploy, and operate secure, scalable AI APIs, services, pipelines, agents, containers, and serverless functions.
- Develop LLM-powered products including copilots, knowledge assistants, summarization engines, policy Q&A tools, and agentic workflows.
- Implement RAG, knowledge base, document intelligence, embeddings, vector and hybrid search, retrieval evaluation, and telemetry pipelines.
- Build reusable agent skills, tool definitions, prompts, guardrails, orchestration patterns, and enterprise AI integrations.
- Deliver curated datasets, feature pipelines, feature serving, model-serving patterns, and real-time inference capabilities.
- Implement PII handling, prompt-injection defenses, content filtering, policy-based access controls, auditability, explainability, and regulatory compliance.
- Establish model versioning, data lineage, evaluation, red teaming, CI/CD, testing, reproducibility, deployment, monitoring, and observability standards.
- Own incident response for AI platform issues and optimize system cost, performance, latency, caching, compute, queries, and token usage.
- Collaborate with engineering, product, data science, compliance, and business operations, while mentoring engineers and contributing to architecture standards.
Requirements
- At least 5 years of professional software engineering experience, including at least 1 year building and operating AI/ML systems in production.
- Hands-on experience with LLM prompt engineering, RAG, fine-tuning or adapting open-source models, function and tool calling, agent orchestration, and production agentic systems.
- Strong Python engineering skills and experience building production-grade APIs, services, workers, or containerized applications with FastAPI or similar frameworks.
- Experience with Databricks AI/ML workflows, knowledge bases, vector or hybrid search, feature pipelines, model serving, Docker, container orchestration, and cloud-native deployment.
- Experience with AWS cloud-native AI workloads, cost governance, performance tuning, AWS ECS, serverless applications, AWS SAM, and Terraform.
- Experience implementing AI trust, safety, governance, PII handling, content filtering, access controls, auditability, and compliance controls.
- Experience creating reusable agent artifacts such as skills, tool definitions, prompt templates, system instructions, evaluation datasets, and guardrails.
- Experience with GitHub Workflows and incorporating AI solutions into CI/CD, as well as traditional and low-code/no-code application development using Java and Python.
- Preferred experience in insurance, fintech, or other regulated industries and familiarity with SOC 2, NAIC model laws, or GDPR.
- Preferred experience with LangSmith, Weights & Biases, Dynatrace LLM monitoring, OpenTelemetry, PyTorch, scikit-learn, fraud detection, document intelligence, risk scoring, actuarial data systems, or open-source AI/ML work.
Benefits
- The base salary range is $85,000 to $105,000 for a full-time schedule.
- New hires must work onsite at one of the company’s offices during their first week for onboarding.
- The company offers opportunities for on-the-job learning and professional development.
- The company emphasizes a supportive, transparent, caring, and collaborative workplace culture.
Categories
About Pure Insurance
Pure Insurance provides specialty personal property and casualty coverage for high-value homes, automobiles, jewelry, artwork, and watercraft, serving financially successful individuals and families. It operates a member-focused reciprocal insurance model and distributes policies through independent brokers and advisors. Headquartered in White Plains, New York, PURE offers coverage in all 50 U.S. states and is part of the Tokio Marine Group.