Full Stack AI Systems Engineer

What you'll do

• Own features and applications from problem definition through deployment, adoption, and improvement.
• Build production-quality interfaces, backend services, APIs, data models, and integrations.
• Develop AI-powered and agentic capabilities connected to engineering data and tools.

What they ask for

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 3+ years delivering production software through the full software development lifecycle.
• Experience building full-stack applications across interfaces, backend services, integrations, and data systems.
• Experience with a cloud platform (AWS, Azure, or GCP), Kubernetes, Docker, CI/CD, and Infrastructure as Code.

Nice to have

• Experience integrating LLMs or ML services into production applications, including prompt design, retrieval augmented generation, or agentic workflows.
• Experience with message and job queues such as RabbitMQ or Kafka, and distributed systems.

Pay

USD $150,400 to $225,300 base salary

Tools

AWS, Azure, GCP, Kubernetes, Docker, CI/CD, Infrastructure as Code, Claude Code

AI focus

Develop AI-powered and agentic capabilities for engineering workflows; use AI-assisted coding tools and potentially integrate LLMs or ML services into production applications.