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Servco

Diversified auto, financial, and industrial group

Data Engineer 3 - AI Platform

Data EngineeringConfirmed live in the last 24 hours
Full-timeHonolulu, HI, USA$93.9k - $142.7k /yrIn-person

About the Job

Requirements

  • A relevant degree or equivalent demonstrated experience.
  • Six to ten years building production data pipelines and platforms, with strong Python, SQL, Spark, and Databricks engineering on Azure or a comparable cloud.
  • Experience building reusable frameworks, automated tests, CI/CD, infrastructure as code, and observable production services.
  • Hands-on experience with AI-ready pipelines for features, retrieval corpora, or evaluation data, and practical MLOps or LLMOps deployment and monitoring.
  • A record of operating reliable data products, resolving incidents, tuning cost and performance, and mentoring engineers.

Responsibilities

  • Build and own reusable ingestion, transformation, orchestration, and serving patterns across batch and streaming workloads on Databricks; develop connectors, recovery paths, schema evolution, and certified data sets for reporting, applications, and AI.
  • Implement automated reconciliation, data quality, freshness, lineage, and access controls to keep production pipelines and AI context reliable and governed.
  • Engineer feature, context, and retrieval pipelines—including document ingestion, metadata, embeddings, and indexes—to solution designs agreed with the Data & AI Architect.
  • Build versioned evaluation data, model and agent monitoring feeds, feedback capture, and identity-aware feature tables, APIs, and event streams; implement the data and platform components of MLOps and LLMOps delivery.
  • Maintain and develop the semantic and ontology layer that informs Servco's large language models and extends data understanding to platforms such as OpenAI and Claude.
  • Tune Servco's large language models for accuracy and review feedback through the Genie admin console.
  • Assist with implementing and maintaining AI agents within enterprise platforms to automate repetitive work and remove bottlenecks in the solution development lifecycle.
  • Implement reproducible environments, infrastructure as code, CI/CD, logging, monitoring, alerting, and runbooks; tune workload performance and cloud cost within approved architecture and security standards.
  • Own reliability, incident response, and recovery for shipped assets; improve testing and release practices based on production learning.
  • Work with the Manager, Data Engineering, Analytics Engineers, architecture, and operators to translate customer and operating needs into dependable data products and support agreed shared capabilities.
  • Mentor newer engineers through code review and pairing, document reusable patterns, and retain critical know-how in Servco-controlled systems.
  • Train and support forward-deployed team members in implementing AI solutions in line with architecture, implementation, and platform standards.

Desired Qualifications

  • Experience with MLflow or comparable model lifecycle tools, Unity Catalog, vector search, event integration, and automotive or retail operations data.

About the Company

Servco

Diversified auto, financial, and industrial group

Servco is a family-owned, diversified company based in Hawaiʻi operating for over a century. Its segments include automotive retail and distribution, Hui car-sharing, Fender musical instrument distribution, Servco Pacific Capital financial services, and forklift and industrial equipment sales. What sets Servco apart is pairing century-long family ownership with a broad, multi-industry portfolio across the Pacific. The goal is to serve Hawaiʻi and global communities through quality products, strong relationships, and community investment.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Honolulu, HI
Founded
1919

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