AI Productivity Engineer
Core
Build production-grade AI-powered developer tooling to accelerate AI adoption across the engineering organization, reducing friction and automating repetitive tasks.
Role type
Senior Software AI Engineer (Engineering Productivity)
Builds
Practical, production-grade AI solutions for internal engineering workflows
Domain
Software Engineering / Generative AI
Deliverable
production ML models
Required skills
GenAI systems, LLMs (OpenAI, Anthropic), Prompting, Retrieval, Context injection, Production-grade system design, GitLab, Jira, CI/CD, Slack, Observability tools, MCP servers
Preferred skills
None stated
Technologies
GitLab, Jira, CI/CD, Slack, MCP servers
Responsibilities
Identify high-friction areas in engineering workflows, Design and build AI-powered developer tooling (coding, testing, PR reviews, debugging), Build contextual, system-aware AI assistants, Automate and streamline workflows across engineering tools, Design and operate internal AI services and orchestration layers, Own solutions end-to-end from discovery to iteration, Work hands-on with engineering teams to enable usage, Measure success through adoption and time saved
Seniority
Senior, hands-on IC
