AI Software Engineer

Basic Qualifications

Education typically aligns with a Bachelor’s degree in Computer Engineering, Computer Science, or a related discipline, however combined education/experience will be considered in lieu of a degree.

Responsibilities

• Design, develop, and deploy microservices and containerized legacy applications.
• Design, develop, and deploy microservices and containerized legacy applications.
• Design, develop, and deploy microservices and containerized legacy applications.
• Design, develop, and deploy microservices and containerized legacy applications.
• Design, develop, and deploy microservices and containerized legacy applications.

Requirements

• Experience with LLMs, RAG architecture, and GenAI.
• Experience with machine learning algorithms and deep learning frameworks such as TensorFlow and PyTorch.
• Demonstrated proficiency in software development using Python, GoLang, Bash, Node/Javascript.
• Strong critical thinking and problem solving skills.
• Experience in Linux development, integration, and troubleshooting.

Qualifications

• Experience with command and control systems.
• Experience with cloud environments.
• Experience integrating software components.
• Experience with test automation and continuous integration and deployment.
• Experience with Nvidia GPU and C++.
• Strong background developing / debugging.
• Experience in DevSecOps and Agile methodologies.

Skills

• Experience with command and control systems.
• Experience with cloud environments.
• Experience integrating software components.
• Experience with test automation and continuous integration and deployment.
• Experience with Nvidia GPU and C++.
• Strong background developing / debugging.
• Experience in DevSecOps and Agile methodologies.

Benefits

• Flexible schedules.
• Competitive pay.
• Comprehensive benefits.

Pay

Details on pay are not specified in the job posting.

Schedule

Details on schedule are not specified in the job posting.