Junior/Mid Computer Vision Engineer — Grow in AI

AgileEngine; Austin (TX); On-site; USD 70,000 - 110,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and startups across 17+ industries.

We are looking for a Junior/Middle Computer Vision Engineer to support data preparation, model training, and evaluation for an AI team working with large-scale image and video datasets. You will curate annotation workflows, run training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis.

Qualifications

• 1 to 3 years of experience in software engineering, data science, ML, or related field.
• Degree in CS, Data Science, Engineering, Mathematics, or related discipline (or equivalent).
• Authorized to work in the US; no visa sponsorship offered.
• Foundational coding in Python; ML concepts and CV fundamentals.
• Willingness to learn in a mentorship-driven environment; strong data focus.

Responsibilities

• Curate large-scale image and video datasets and manage labeling workflows.
• Run model training and evaluation jobs, ensuring smooth experiments.
• Document results and track model performance over time.
• Collaborate with senior engineers to analyze failure cases and improve data/algorithms.
• Support AI/ML lifecycle tasks to accelerate production deployments.

Skills

Software engineering

Data science

Machine learning

Python

English - upper-intermediate

Attention to detail

Education

Bachelors in Computer Science or related

Equivalent practical experience

Tools

Cloud environments

Compute resources

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and startups across 17+ industries.

We are looking for a Junior/Middle Computer Vision Engineer to support data preparation, model training, and evaluation for an AI team working with large-scale image and video datasets. You will curate annotation workflows, run training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis.