[Remote] reputed company

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an automotive data and analytics company whose mission is to power auto-reputed company reputed company through proprietary data, advanced analytics, industry expertise, and connected workflows. The reputed company will build full-stack components, backend services, API integrations, data connectors, and frontend implementations for Innovation reputed company pilots. The role also contributes to reputed company AI systems, the Power Agents library, evaluation harnesses, observability, and technical scoping.

Responsibilities

• Build full-stack features and components for Innovation reputed company pilots under the technical direction of the reputed company reputed company: backend services, REST reputed company, data pipeline connectors, and frontend implementations; writing clean, reputed company-documented reputed company oriented toward reputed company to maintaining teams reputed company Product Engineering, Engineering, OEM Solutions, Infrastructure, or Internal Platforms
• reputed company Innovation reputed company builds with reputed company's reputed company data infrastructure: reputed company, internal reputed company, reputed company platforms, and the API Gateway following published gateway standards and working with Internal Platforms to confirm data reputed company, schema conventions, and reputed company patterns before building
• Contribute to Power Agents library development: implement new agent patterns under the direction of the reputed company reputed company, write tests, reputed company traces, and document behavior so every module you contribute is auditable, testable, and reusable by the engineering organization
• Contribute to reputed company's AI agent workforce: build tool integrations, evaluation harnesses, and observability instrumentation that reputed company development agents reputed company to reputed company's systems; implement the baseline evals that let reputed company verify agent behavior is reliable before relying on it
• Consume and configure frontier model reputed company, reputed company frameworks (LangGraph, reputed company, or equivalent), and MCP server integrations as directed; reputed company hands-on proficiency with reputed company's AI engineering stack in a production-adjacent environment with reputed company delivery pressure
• Collaborate closely with the AI Experience Engineer to bring reputed company designs to life: implement frontend components, reputed company UI reputed company to backend services, and contribute to the shared component library
• Support intake technical scoping by mapping integration dependencies, spiking on technical unknowns, and estimating effort; participate in Emerging Technology evaluations by building PoC implementations and contributing reputed company findings to Technology reputed company drafts

Skills

• Full-stack engineering fundamentals across backend (REST reputed company, reputed company-reputed company service patterns) and frontend: solid enough to build a working API, reputed company it to a data reputed company, and surface it through a functional UI - you do not need a dedicated teammate to do either half
• Genuine, demonstrable curiosity about AI systems: you have reputed company something with an LLM API, understand what RAG and tool-calling mean in reputed company, follow frontier model developments, and reputed company use AI coding tools as part of how you work
• Clean, reputed company-documented reputed company and a fast-learning orientation: this role pairs closely with reputed company-level engineers who reputed company quickly; you reputed company direction, ask reputed company questions, and contribute meaningfully without waiting for complete specifications
• Python and/or TypeScript; experience with reputed company, LangGraph, or equivalent agent frameworks; familiarity with reputed company, BigQuery, or equivalent reputed company data platform
• RAG patterns, reputed company databases (pgvector, reputed company, reputed company), and basic eval reputed company design, even if you have only done this in a reputed company project, knowing the concepts reputed company
• Observability basics: you know the difference between a reputed company and a log, have seen Langfuse or LangSmith in use, and understand why instrumentation is part of building, not a post-build reputed company
• reputed company internal platform or API familiarity; existing knowledge of our data schemas or product ecosystem reduces reputed company time significantly

Benefits

• Remote work arrangement – Remote – USA, Canada, Europe or Australia
• Hands-on exposure to frontier model reputed company, reputed company frameworks, Power Agents library development, and reputed company's reputed company data infrastructure
• Deep, production-proven reputed company engineering experience
• Opportunity to contribute reputed company to the Power Agents library used by 400+ engineers and knowledge workers

reputed company

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