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60 Agileengine Data Jobs Hiring Near You

AgileEngine

Full Stack Engineer ID80989

Irving, IL · On-site

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and ... You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and ...

AgileEngine

Full Stack Engineer ID80989

Chicago, IL · On-site

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and ... You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and ...

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    Infographic showing various Data job openings at Agileengine in the United States as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 48% Physical, and 52% Remote job distribution.

    Junior/Middle Computer Vision Engineer ID72410

    AgileEngine, LLC.

    Fort Lauderdale, FL • On-site

    $60 - $90/hr

    Other

    Posted 11 days ago

    Job description

    Full time | AgileEngine | United States

    Posted On 08/20/2026

    Job Information

    City Fort Lauderdale

    State/Province Florida

    33301

    IT Services

    Job Description

    AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

    WHY JOIN US

    If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

    ABOUT THE ROLE

    We are looking for a Junior/Middle Computer Vision Engineer to support high-volume execution across data preparation, model training, and evaluation for an AI team working with large-scale image and video datasets. You will curate and manage annotation workflows, run model training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis. The role offers a a clear growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience.

    WHAT YOU WILL DO
    • Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure the highest standards for dataset quality;
    • Run model training and evaluation jobs, ensuring experiments are executed smoothly and efficiently;
    • Document training results, maintain ongoing evaluation benchmarks, and track model performance over time;
    • Collaborate with senior engineers to analyze model failure cases and identify areas for data or algorithmic improvement;
    • Take ownership of foundational tasks that support the broader team’s AI/ML lifecycle, directly contributing to the speed and success of production deployments.
    MUST HAVES
    • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
    • 1 to 3 years of experience in software engineering, data science, machine learning, or a related field;
    • Degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience);
    • Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
    • Foundational coding skills in Python;
    • Foundational understanding of machine learning concepts and workflows;
    • Basic knowledge of computer vision principles (e.g., image processing, object detection basics);
    • Basic familiarity with cloud environments and compute resources;
    • A strong, demonstrable willingness to learn and adapt in a fast-paced, mentorship-driven environment;
    • Excellent attention to detail, specifically regarding data quality and documentation;
    PERKS AND BENEFITS
    • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
    • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
    • Exciting projects: Modern solutions with Fortune 500 and top product companies.
    • Flextime: Flexible schedule with remote and office options.
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