Senior Applied AI Engineer
Core
Build intelligent software systems and AI-powered workflows to improve engineering productivity, software quality, and developer decision-making at scale.
Role type
Senior Applied AI Engineer (Developer Productivity)
Builds
Production AI services, intelligent workflows for code analysis, and infrastructure for AI-enabled applications.
Domain
Software Engineering / Machine Learning / Developer Tools
Deliverable
production ML models
Required skills
Python, software engineering fundamentals, LLM-based applications, retrieval-augmented generation, agentic workflows, orchestration frameworks, Git-based development workflows, data-intensive backend services
Preferred skills
AI systems for developer tools/code intelligence, model evaluation, prompt and context design, observability, production monitoring for AI systems, balancing model quality/latency/cost/reliability, large-scale software platforms/CI systems
Technologies
Python, LLMs, RAG, orchestration frameworks, Git
Responsibilities
Invent and build AI-powered systems to enhance software quality and efficiency; Develop intelligent workflows for analyzing large codebases and engineering signals; Build and maintain production services and infrastructure for AI-enabled applications; Partner with software engineers to translate workflow problems into AI solutions; Evaluate emerging models and tooling to improve system quality and latency; Drive projects from concept through production deployment.
Seniority
Senior, hands-on IC
