Applied AI Engineer

Vaga não está no LinkedIn

🕒 Julho 30

🌐 Estados Unidos, Canadá, +1 outros países – Remoto

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💵 $130.000 - $160.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 32%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of JDPA LIMITED

JDPA LIMITED

- funcionários

🚘 Automotivo

🛡️ Seguros

💼 Consultoria

Automotive • Insurance • Consulting

JDPA LIMITED é um provedor de soluções de dados, analytics e software que atende o ecossistema automotivo e setores adjacentes de finanças e seguros. Ela oferece avaliações de veículos, inteligência de mercado e varejo, benchmarks de qualidade e experiência do cliente, marketing digital e serviços de consultoria para OEMs, concessionárias, seguradoras e credores. A JDPA LIMITED combina dados proprietários de clientes e VIN com analytics avançados e produtos SaaS para ajudar os clientes a melhorar o design de produtos, desempenho no varejo, gestão de risco e operações financeiras.

Descrição

• Build full-stack AI-powered applications, including internal tools, client-facing prototypes, and integration accelerators, on 2-to-4-week sprint cycles • Take PoC Blueprint Handoffs from the Innovation Crew through production deployment, operation, and handoff • Build production-quality interfaces and services from wireframes through polished applications • Support frontend and UX quality using shared component libraries and design systems • Translate validated architectures, Power Agents integrations, vector database hooks, and agent workflow patterns into production applications • Build evaluation harnesses and observability instrumentation for inspectable AI behavior • Consume Power Agents and Agent Skills Registry modules and surface Intelligence layer capabilities through user-facing applications • Integrate applications with Snowflake, internal APIs, and the API Gateway • Embed AppSec, Data Governance, PII handling, and OEM data requirements into designs • Participate in Gate 2 technical scoping, effort estimation, dependency identification, and success-criteria definition • Deploy outputs, confirm operational availability, and execute clean handoffs to maintaining engineering teams • Contribute technology evaluations to the Emerging Technology Radar and propose Architecture Decision Records • Conduct lightweight user testing with business unit partners

🎯 Requisitos

• Portfolio of shipped, production AI applications used by real users • Full-stack engineering depth • Frontend proficiency; React preferred • Backend experience across REST and/or GraphQL • Authentication patterns and cloud-native service architecture • Hands-on experience with agentic frameworks or LLM APIs, including LangChain, LlamaIndex, Anthropic, OpenAI, or equivalent • Experience with RAG patterns and streaming responses • Experience building intuitive AI interfaces • Experience with eval harness design and LLM observability is valued • Experience with Langfuse, LangSmith, Braintrust, or equivalent is valued • Experience with multi-model routing and cost optimization using LiteLLM, Portkey, or equivalent is valued • Data platform experience with Snowflake, BigQuery, or equivalent is valued • Security basics including PII handling, secrets management, prompt injection defense, and API audit logging • Strong product intuition and ability to write design docs and run postmortems • JD Power internal platform, data infrastructure, or product ecosystem familiarity is valued • Candidates must be legally authorized to work in the country where employment is offered • JD Power does not provide employment sponsorship for this position

🏖️ Benefícios

• Flexible work arrangements • Opportunities for learning and development • Reasonable accommodations throughout the recruitment process • Diverse and inclusive workplace • Virtual-first work culture

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