Full-Stack Product & Field Engineer - AI Systems

Caraa; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

Caraa is seeking a technically versatile engineer to help build, deploy, and support advanced AI systems. The role involves working closely with engineering to develop capabilities, improve products, and validate performance through hands-on testing.

The ideal candidate should have 5+ years of experience in software engineering, strong programming skills in Python and JavaScript/TypeScript, and a strong understanding of AI technologies. The position requires travel up to 50%, eligible for U.S. security clearance.

Qualifications

• 5+ years of experience in software engineering or AI engineering.
• Strong programming skills in Python and JavaScript/TypeScript.
• Experience with machine learning and AI technologies.

Responsibilities

• Design and develop features for our software platform.
• Deploy and configure AI systems in operational environments.
• Analyze datasets to evaluate model and system performance.

Skills

Software engineering

AI engineering

Python

JavaScript/TypeScript

Data analysis

Customer engagement

Statistical analysis

Tools

Machine learning technologies

AI systems

Job description

We're looking for a technically versatile engineer to help build, deploy, and support advanced AI systems in operational environments. This role sits at the intersection of product development, AI engineering, and field operations. You'll work closely with our engineering team to develop new capabilities, improve existing products, and validate performance through hands‑on testing with customers and operators in the field.

The ideal candidate is comfortable moving between software development, AI workflows, data analysis, customer engagement, and field deployment. One day you may be implementing a new product feature, the next analyzing model performance on a large dataset, debugging a deployment at a customer site, or supporting an operational exercise.

What You'll Do

• Design, develop, and maintain features across our software platform.
• Build and support full‑stack applications, APIs, data pipelines, and AI‑enabled workflows.
• Work with AI systems including computer vision models, CNNs, VLMs, and agentic AI architectures.
• Deploy, configure, and troubleshoot AI systems in operational and field environments.
• Analyze large datasets and perform statistical analysis to evaluate model and system performance.
• Work directly with customers, operators, and partner organizations to understand requirements and gather feedback.
• Serve as a technical representative during demonstrations, evaluations, and operational exercises.
• Translate customer and operator feedback into product improvements and new features.
• Support testing, validation, and performance assessment of AI capabilities in real‑world conditions.
• Collaborate closely with engineering, product, and leadership teams to shape the product roadmap.
• Travel to customer locations, military installations, and test events as required.

What We're Looking For

• 5+ years of experience in software engineering, systems engineering, AI engineering, or a related technical discipline.
• Strong programming skills in Python and JavaScript/TypeScript.
• Experience developing and maintaining production software systems.
• Experience working with machine learning, computer vision, AI agents, or related technologies.
• Experience working with large datasets and statistical analysis.
• Comfortable debugging software, infrastructure, networking, and deployment issues.
• Strong communication skills and ability to work directly with customers, operators, and partner companies.
• Highly proactive and capable of operating independently in fast‑moving environments.
• Comfortable balancing product development responsibilities with field deployment and customer support.
• AI‑first mindset and enthusiasm for emerging AI technologies.
• Ability to travel up to 50%.
• Eligible to obtain and maintain a U.S. security clearance.

Nice to Have

• Rust development experience.
• Experience with edge AI systems and embedded computing.
• Familiarity with tactical networking, RF systems, MANETs, or military communications.
• Experience with computer vision, VLMs, LLMs, and agentic AI systems.
• Experience with cloud infrastructure, MLOps, and modern deployment pipelines.
• Familiarity with 3D graphics, simulation, digital twins, Unity, or Unreal Engine.
• Experience supporting defense, government, or public sector customers.