Senior Applied AI Engineer

What you'll do

• Develop AI workflows for analyzing codebases, code changes, and engineering signals.
• Build and maintain production infrastructure for AI applications, including orchestration, retrieval, evaluation, and monitoring.
• Drive AI projects from concept through production deployment and continuous improvement.

What they ask for

• Strong software engineering fundamentals, excellent Python skills, and experience building production-quality systems.
• Hands-on experience building and deploying AI or ML systems, data-intensive backend services, or intelligent automation workflows.
• Experience with LLM-based applications, retrieval-augmented generation, agentic workflows, or orchestration frameworks.
• Familiarity with Git-based workflows, including commits, branches, diffs, and large multi-repository codebases.

Nice to have

• Experience with AI for developer tools, code intelligence, software quality, testing, or debugging.
• Familiarity with AI model evaluation, prompt and context design, observability, and production monitoring.

Pay

152,000 USD - 241,500 USD (base salary)

Tools

Python, LLM-based applications, retrieval-augmented generation, agentic workflows, orchestration frameworks, Git

AI focus

Build AI-powered developer workflows and production services for code analysis, engineering signal discovery, debugging, and decision-making; evaluate models and improve quality, latency, reliability, and cost.