Engineer IV - Software Engineer – AI & DATA Solutions - Remote Eligible

Software Engineer – Ai & Data Solutions

Location: Colorado Springs, CO (remote working option after 6 months of employment)

Clearance: Active Secret Preferred, Not Required

Overview

We are seeking a skilled software engineer with strong AI, data, and machine learning capabilities to help design, build, and deploy intelligent solutions that enhance product performance and support data-driven decision-making. This role blends software engineering, data science, and systems-level understanding that is ideal for someone who enjoys solving real-world problems using modern AI technologies.

As part of our engineering team, you will work across the full technical stack: developing ML models, analyzing data, optimizing systems, and contributing to scalable infrastructure. You should be equally comfortable writing high-quality Python code, managing complex technical projects, and explaining your ideas clearly to both technical and non-technical stakeholders.

Minimum Qualifications

Education:

• Master of Science in an IT-related field (preferred)
• Bachelor of Science in an Information Technology field (required)

Experience:

• Practical experience developing AI, ML, or data-driven software solutions (industry experience required).
• Hands-on experience with Python programming, SQL, and machine learning workflows.
• Experience building analytical or ML applications end-to-end—from infrastructure to deployment.

Essential Skills:

• Programming & Data: Python, SQL, R
• ML & AI: NLP, EDA, TensorFlow, PyTorch
• Tools & Libraries: Git, Matplotlib
• Strong communication and problem-solving abilities
• Ability to manage complex technical projects

Preferred Qualifications

• Scikit-learn, NumPy, Pandas
• Feature engineering experience
• Spark
• Seaborn, Tableau
• Keras
• Experience designing or supporting data centers or high-availability server infrastructure
• Experience working with large datasets or distributed systems

Key Responsibilities

• Design, develop, and deploy AI/ML solutions that improve product performance and support strategic business needs.
• Develop reproducible, maintainable code in Python for data pipelines, model training, and application logic.
• Perform data exploration, analysis, and feature engineering using SQL, Python, and statistical techniques.
• Build, experiment with, and optimize machine learning and deep learning models (TensorFlow, PyTorch, etc.).
• Collaborate across teams to translate business requirements into technical solutions.
• Manage end-to-end project lifecycles, from server setup and infrastructure planning to model deployment.
• Contribute to system architecture decisions, including cloud environments, data centers, or server-level design.
• Create clear documentation, visualizations, and presentations for stakeholders.
• Maintain code quality through version control (Git), testing, and best engineering practices.

Skills

• Someone passionate about AI, data, and building impactful solutions.
• A strong communicator who can translate technical concepts into clear business language.
• A proactive problem solver who enjoys exploring data and developing innovative approaches.
• A technically versatile engineer who can work across infrastructure, data, and application layers.

Compensation And Benefits

• Salary Range: Starting at $125,000 annually (based on experience and qualifications)
• Benefits Include:
• 70% company-paid medical insurance
• 100% company-paid dental and vision coverage
• 401(k) plan with company match and profit sharing
• Company-paid life and AD&D insurance
• Education assistance program
• Paid time off (PTO) starting at 15 days accruing annually, increasing with tenure
• 13 paid holidays annually, including a year-end shutdown
• And more!