Applied AI Engineer

Job not on LinkedIn

🕒 July 30

🌐 United States, Canada, +1 more countries – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote 🇦🇺 Australia – Remote

💵 $130k - $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 32%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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JDPA LIMITED

WebsiteLinkedInAll Job Openings

- employees

🚘 Automotive

🛡️ Insurance

💼 Consulting

Automotive • Insurance • Consulting

JDPA LIMITED is a provider of data, analytics, and software solutions serving the automotive ecosystem and adjacent financial and insurance sectors. It offers vehicle valuations, market and retail intelligence, quality and customer-experience benchmarks, digital marketing and advisory services to OEMs, dealers, insurers and lenders. JDPA LIMITED combines proprietary customer and VIN data with advanced analytics and SaaS products to help clients improve product design, retail performance, risk management, and finance operations.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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