AI Engineer

Job not on LinkedIn

🕒 August 11

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

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💵 $115k - $130k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 20%

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Logo of JDPA LIMITED

JDPA LIMITED

- 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 features and components for Innovation Crew pilots • Develop backend services, REST APIs, data pipeline connectors, and frontend implementations • Integrate builds with Snowflake, internal APIs, cloud platforms, and the API Gateway • Contribute agent patterns, tests, traces, documentation, and reusable modules to the Power Agents library • Build tool integrations, evaluation harnesses, and observability instrumentation for AI agents • Consume and configure frontier model APIs, agentic frameworks, and MCP server integrations • Implement frontend components, connect UI layers to backend services, and contribute to the shared component library • Support technical scoping, investigate technical unknowns, estimate effort, and contribute to Emerging Technology evaluations • Build proof-of-concept implementations and contribute benchmark findings to Technology Radar drafts • Write clean, documented code oriented toward handoff to maintaining teams

🎯 Requirements

• Full-stack engineering fundamentals across backend and frontend • Ability to build REST APIs, connect APIs to data sources, and implement functional UIs • Experience building something with an LLM API • Practical understanding of RAG and tool-calling • Experience using AI coding tools • Clean, well-documented code and fast-learning orientation • Python and/or TypeScript valued • Experience with LangChain, LangGraph, or equivalent agent frameworks valued • Familiarity with Snowflake, BigQuery, or equivalent cloud data platform valued • Knowledge of RAG patterns, vector databases, and basic evaluation harness design valued • Observability basics, including traces, logs, Langfuse, or LangSmith valued • JD Power internal platform or API familiarity valued • 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 • Diverse and inclusive workplace • Reasonable accommodations throughout the recruitment process

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