AI Engineer

🕒 6 dias atrás

🌽 Illinois – Remoto

🌽 Illinois – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 10%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

CCC Intelligent Solutions

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1980

CCC Intelligent Solutions Inc. é uma plataforma de nuvem líder para a economia de seguros P&C de trilhões de dólares, criando experiências inteligentes para seguradoras, reparadoras, montadoras, fornecedores de peças, credores e mais. A CCC Intelligent Experience Cloud, alimentada por uma ampla IA e uma arquitetura inovadora baseada em eventos, conecta mais de 35.000 empresas para permitir aplicações e plataformas personalizadas para resultados otimizados e experiências personalizadas que simplesmente funcionam. Através de inovações propositais e a força de nossas conexões, nossas tecnologias capacitam as pessoas e a indústria a serem confiáveis para manter a vida em movimento quando mais importa. Saiba mais sobre a CCC em www.cccis.com.

Descrição

• Build and ship LLM-powered features and agentic workflows for customers • Automate routine parts of insurance claims and guide customers through remaining steps • Scope problems with product managers and data scientists through production deployment • Define and track feature metrics, token budgets, and latency budgets • Write evals, guardrails, and feedback loops for trustworthy AI features • Review agentic coding tool output for correctness, security, and design issues • Maintain and extend NLP pipelines converting unstructured claim data into structured data • Build and operate durable event-driven services with agents inside deterministic workflows • Use checkpointed model outputs so retries do not re-invoke completed LLM steps • Trace model calls and agent steps for reconstruction, auditing, source citations, and alerting • Model and query claims data across relational, document, and graph stores • Design tenant isolation, least-privilege agent access, and model data-sharing controls • Write technical design documents and obtain team feedback and buy-in • Participate in a shared on-call rotation

🎯 Requisitos

• 3+ years of professional software engineering experience, including at least one LLM-powered feature shipped and operated in production • Python and TypeScript: typed, tested, async code in both, with real depth in one • Evals designed for LLM output, plus shipped guardrails • Daily production use of Claude Code, Cursor, GitHub Copilot, or similar agentic coding tools, including constraining context and verifying output • Experience blending LLMs with semantic search and classical NLP, including structured output, tool calling, embedding-based retrieval, and choosing classical techniques when appropriate • Experience with message- or event-driven architectures, long-running workflows, retries, idempotent handlers, event-sourced state, and an LLM or agent step • Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j • Experience building and operating backend services on Azure or AWS • Exposure to Temporal or Durable Task Scheduler • Experience writing technical design documents to obtain team feedback and buy-in before implementation • Clear writing and discussion for technical and non-technical audiences, and ability to give and receive code review • React and TypeScript experience preferred as an additional qualification • Experience with CI/CD and infrastructure as code such as Terraform or Bicep • Experience with agent frameworks including LangGraph or Microsoft Agent Framework, and MCP, A2A, command-line tools, or microservices • Experience with LLM observability and evaluation tooling such as LangSmith, Arize, Braintrust, and OpenTelemetry-based tracing • Experience designing A/B tests for AI features or what-if simulations • Exposure to insurance, claims, or automotive repair domains

🏖️ Benefícios

• 401K Match • Paid time off • Annual Incentive Plan Performance Bonus • Comprehensive health insurance • Adoption Assistance • Tuition Reimbursement • Wellness Programs • Stock Purchase Plan options • Employee Resource Groups

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo