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AI Developer – Product-Centric

Job in Sacramento, Sacramento County, California, 95828, USA
Listing for: Apexon Technology
Full Time position
Listed on 2026-01-17
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Overview

We are seeking a motivated Junior AI Developer with a strong focus on product development to join our dynamic team. The ideal candidate is passionate about building and optimizing AI-driven solutions, with hands‑on experience in document intelligence platforms. This role offers the opportunity to contribute directly to the development, deployment, and ongoing improvement of AI products within a collaborative environment.

Key Responsibilities
  • Actively participate in the training and fine‑tuning of Google Doc AI models, ensuring alignment with evolving product requirements and business objectives.
  • Monitor, maintain, and manage AI models in production environments; troubleshoot issues to ensure system reliability, stability, and optimal performance.
  • Diagnose and resolve Doc AI model‑related issues using strong analytical and technical skills to maintain seamless operation.
  • Analyze model performance, identify bottlenecks, and implement improvements to enhance speed, accuracy, and overall efficacy.
  • Design, develop, and deploy AI models on AWS platforms; collaborate with cross‑functional teams to integrate solutions into broader product ecosystems.
Qualifications & Attributes
  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
  • Strong product‑oriented approach with the ability to translate business needs into effective technical solutions.
Preferred Skills
  • Collaboration & Problem‑Solving:
    Excellent problem‑solving skills, attention to detail, and ability to work independently or as part of a collaborative team.
  • Demonstrated experience in training and managing Google Doc AI models in production settings.
  • Troubleshooting & Optimization:
    Familiarity with diagnosing, troubleshooting, and optimizing machine learning models.
  • Cloud Deployment:
    Experience deploying machine learning models on AWS cloud infrastructure.

Intelligent Processing updates based on the business requests

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