Integration Engineer – Agentic Systems, Interfaces

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🕒 Março 25

🏄 California – Remoto

🏄 California – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

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Viaduct

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🤖 Inteligência Artificial

☁️ SaaS

💰 Series B em 2024-06

Automotive • Artificial Intelligence • SaaS

A Viaduct é uma plataforma de IA projetada para ajudar fabricantes de equipamentos originais automotivos (OEMs), frotas e fornecedores a reduzir custos de qualidade e implementar estratégias de manutenção preditiva em larga escala. Ao processar mais de 100 bilhões de milhas monitoradas por meio de telemática e mais de 100 TB de dados mensalmente, a Viaduct permite que líderes de qualidade e manutenção minimizem despesas de garantia, prevejam a saúde dos veículos e aprimorem rotinas de manutenção preventiva. A plataforma fornece insights para identificar veículos de alto risco precocemente, auxiliando no serviço e manutenção antes que falhas na estrada ocorram. A Viaduct oferece vários planos de preços adaptados a diferentes necessidades de dados e tamanhos de equipe, apoiando soluções de análise escaláveis e personalizadas.

Descrição

• Lead the hands-on technical implementation and deployment of Viaduct’s software solutions within large-scale enterprise environments. • Make critical data integration decisions and build robust connectors across a variety of data types and systems (SQL, NoSQL, APIs, etc.). • Create and support batch, incremental, and real-time data pipelines to ensure high-quality data ingestion from client systems. • Set up and deploy LLM and agentic systems in practice. You will be responsible for prompt engineering, performance testing, and iterating on agent behavior to ensure reliability and accuracy. • Establish and automate validation and cleaning processes to ensure data quality across various client integrations. • Work directly with customers across a variety of contexts to troubleshoot technical hurdles and ensure successful solution adoption.

🎯 Requisitos

• Proven track record of delivering software implementations at a large enterprise software company (e.g., Salesforce, ServiceNow, Oracle, C3 AI, Palantir) or a leading consulting firm (e.g., Accenture, Deloitte, McKinsey). • Very good at Python and ideally SQL. • Direct experience setting up and deploying LLM-based systems and agentic frameworks in practical, real-world settings. You know how to test and iterate on prompt performance. • 4+ years of experience in data engineering or implementations, including experience with workflow schedulers (Airflow, Prefect, Argo, etc.) and distributed file systems (S3, HDFS, etc.). • Experience with incremental or real-time processing (Delta Lake, Apache Hudi, Kafka, Spark Streaming). • You have done a number of implementation projects across a variety of relevant contexts and value "getting it done" over theoretical perfection. • A degree in Computer Science or a related field is helpful, but we value a history of successful, scrappy implementation projects over fancy credentials or advanced degrees.

🏖️ Benefícios

• Competitive base salary • Short-term incentive (annual bonus) • Long-term incentive (long-term upside) • Up to 100% work from home • Significant international travel component