7 дней назад
Senior AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (Python/TypeScript/LLM): Building and operating LLM-powered systems, agentic workflows, and NLP pipelines for insurance claims with an accent on evaluation, guardrails, deterministic orchestration, and privacy-by-design. Focus on designing durable multi-tenant systems, tracing model decisions, securing sensitive claims data, and establishing engineering standards for production AI.
Location: Chicago (Green St), Illinois, United States
Company
provides a cloud platform and AI solutions for the insurance, automotive repair, and related industries.
What you will do
- Own LLM-powered systems and agentic workflows from customer problem definition through production operation.
- Design evaluation and guardrail strategies, release gates, production monitoring, and historical-claims simulations.
- Build NLP pipelines that combine LLMs, semantic search, and classical NLP to structure unstructured claims data.
- Design durable, event-driven, multi-tenant systems with deterministic workflows, replay semantics, failure handling, and controlled costs.
- Own model tracing, auditability, claims data modeling, privacy, security, tenant isolation, redaction, and retention policies.
- Author cross-team technical designs, review architecture and code, mentor engineers, and participate in the on-call rotation.
Requirements
- 6+ years of professional software engineering experience, including architecting and shipping an LLM-powered system for external customers.
- Strong Python and TypeScript skills, including async design, strict typing, testing strategy, and performance optimization.
- Experience designing evaluation and guardrail strategies, agentic coding-tool controls, and production AI quality processes.
- Experience with LLM, semantic-search, and classical-NLP pipelines, including retrieval design and trade-off analysis.
- Experience designing durable event-driven systems, deterministic orchestration, idempotency, backpressure, compensating actions, and replay.
- Experience with relational, document, or graph databases, AWS or Azure, infrastructure as code, CI/CD, and Temporal or Durable Task Scheduler.
Nice to have
- React and TypeScript experience for full-stack AI features, including chat, streaming, and citation-heavy interfaces.
- Experience with LangGraph, Microsoft Agent Framework, MCP, A2A, agent tools, or microservices.
- Experience with LangSmith, Arize, Braintrust, OpenTelemetry, or A/B testing for AI features.
- Experience in insurance, claims, or automotive repair.
Culture & Benefits
- Collaborative environment focused on integrity, customer focus, innovation, inclusion, tenacity, and connection.
- 401(k) match, paid time off, comprehensive health insurance, and an annual performance bonus plan.
- Adoption assistance, tuition reimbursement, wellness programs, stock purchase plan options, and employee resource groups.
- Video interview required; interviews are transcribed and retained for review.
Hiring process
- A video interview is required.
- Generative AI or automated assistance is not permitted during interviews unless explicitly authorized for a specific exercise.
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