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7 дней назад

Senior AI Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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