Senior Applied AI Engineer

About the job

Responsibilities

• Invent and build AI-powered systems to improve software quality, engineering efficiency, and developer workflows.
• Develop intelligent workflows for analyzing large codebases, code changes, and engineering signals to facilitate early issue identification and informed decision-making.
• Build and maintain production services and infrastructure for AI-enabled applications, including orchestration, retrieval, evaluation, and monitoring.
• Collaborate with software engineers and cross-functional teams to address real workflow problems with practical AI solutions.
• Evaluate emerging models, frameworks, and tooling to enhance the quality, latency, reliability, and cost-effectiveness of AI systems.
• Drive projects from initial concept through production deployment, iteration, and continuous improvement.

Requirements

• 5+ years of proven experience in a relevant field.
• Bachelor's degree or higher (or equivalent experience) in Computer Science/Engineering or a related field.
• Strong software engineering fundamentals with 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.
• Strong familiarity with Git-based development workflows, including commits, branches, diffs, and large multi-repository codebases.
• Proven ability to solve complex technical problems and work effectively across teams.

Benefits

• Equity
• Benefits