EyeQ Monitoring is the fastest growing provider of remote video surveillance and business intelligence in the U.S. From our Command Center in Marietta, GA, we deliver real-time security, loss prevention, and operational insights for commercial clients across the country.

We’re building a team of operators, problem-solvers, and builders who take ownership, move with urgency, and care deeply about delivering results- for our customers and for each other. As we continue to scale, we’re investing heavily in AI-driven infrastructure and looking for engineers who want to build in an AI-first environment.

About the Role

We’re looking for a Software Development Engineer with a backend focus to build and scale our AI/ML infrastructure. This role is centered around developing pipelines for vision-language model (VLM) tuning, deployment, and lifecycle management, with an emphasis on leveraging AI-assisted development tools as a core part of how you work.

You’ll play a key role in shaping how we build- using agentic coding tools to accelerate development while maintaining high standards for quality, scalability, and performance. If you’re excited about building modern ML systems and working in an AI-first environment, this role is built for you. 

Here at EyeQ, people matter. Any new team members we bring on have to live and breathe our core values, just like we do.

• We value trusted partnerships.
  We believe in transparent, reliable, and growing relationships with our team and customers—and we turn away people and businesses that don’t fit. 
• We build to last.
  We focus on long-term solutions and spend the time upfront to ensure our work is done right the first time. 
• We take the hill.
  We lean into challenges, push into new technology frontiers, and solve problems others avoid. We value speed, ownership, and people we trust to run toward the hard things together. 
• We enjoy the journey.
  We take our work seriously, but not ourselves. We’re proud of what we’re building and the team we get to build it with. 

Responsibilities

• Design and build scalable AI/ML infrastructure for VLM training, tuning, deployment, and lifecycle management 
• Leverage agentic coding tools (e.g., Claude Code, Codex) to generate code, tests, and documentation 
• Direct AI-assisted development by crafting prompts, reviewing outputs, and ensuring production-quality results 
• Own code quality through reviews with a focus on scalability, performance, and maintainability 
• Contribute to backend systems, API design, and occasional full-stack development work 
• Collaborate closely with product, design, and engineering teams to deliver high-impact solutions

• 2+ years of software engineering experience 
• Strong Python skills with a solid understanding of ML concepts (e.g., VLMs, RAG, fine-tuning) 
• Experience building backend systems and REST APIs 
• Familiarity with Git, modern development tools, and web security fundamentals 
• Comfortable working across the stack when needed 
• Strong interest in AI-assisted development workflows 

Preferred:

• Experience with AWS infrastructure 
• Experience with databases such as MySQL or MongoDB 
• Exposure to Agile development environments 
• Degree in Computer Science, Engineering, Math, Physics, or equivalent experience 

What You Bring

• Clear communication and strong collaboration skills 
• Proactive problem-solving mindset and ability to learn quickly 
• Comfort operating in a fast-paced, iterative environment 
• Team-oriented approach with adaptability to changing priorities