Senior AI Application Engineer

What you'll do

• Build AI-powered automation and production validation tools for operational workflows, deployments, and migrations.
• Apply LLMs, RAG, and agentic AI to improve operational efficiency and reliability while addressing security, privacy, and safety.
• Define AI evaluation and monitoring approaches, and integrate AI tools into CI/CD, testing, and operations.

What they ask for

• 8+ years of professional software engineering experience building, deploying, and supporting production systems; strong Python skills and working knowledge of Bash, ObjectScript, Go, Java, or similar languages.
• Demonstrated experience deploying and supporting production AI applications, applying LLMs and AI technologies to real problems, and delivering measurable outcomes.
• Experience building reliable production validation, testing, automation, or operational frameworks integrated with real systems.
• Experience with production operations across AWS, Google Cloud, Azure, and on-premises environments; Docker, Kubernetes, CI/CD, and Infrastructure-as-Code experience is required.

Nice to have

• Background in cloud migrations, patch management, release automation, or platform modernization.
• Experience integrating foundation models into production AI applications; open-source contributions, regulated-industry experience, or familiarity with AI-assisted development tools.

Pay

$137,000 — $212,000 USD (base salary)

Tools

Python, Bash, ObjectScript, Go, Java, AWS, Google Cloud, Azure

AI focus

Production AI applications for operational automation and validation, using LLMs, RAG, and agentic AI; includes safety and accuracy evaluation, monitoring, and measurable operational improvement.