Lead AI Developer Tooling Engineer
New
A
AppianAI Automation
Location: Remote (US)Full-TimeLead
Salary$150,000 — $300,000 USD
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Job Details
- Experience
- 7+ years of relevant software development experience with a BS (or 5+ years of experience paired with a Master of Science in Computer Science or a related field)
- Required Skills
- CI/CD
Requirements
- Bachelor of Science degree in Computer Science or a related technical/analytical discipline.
- 7+ years of relevant software development experience with a BS (or 5+ years of experience paired with a Master of Science in Computer Science or a related field).
- Experience building IDE, CLI, code-analysis, CI/CD, or developer-experience tools.
- Working knowledge of local/remote execution, telemetry, privacy, and enterprise deployment constraints.
- Strong language-server, parser, build-system, source-control, and diagnostics experience.
- Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context.
- Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment.
- Exceptional ability to communicate highly technical architectures verbally, visually, and in writing.
Responsibilities
- Architect, build, and optimize developer-facing tools and services while maintaining a strong personal technical presence on the team.
- Design and build the IDE integrations, CLIs, code-analysis, and CI/CD tooling that Appian's engineers rely on every day.
- Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness.
- Expose AI capabilities to developers through workflows that are fast, understandable, and debuggable.
- Manage the availability, latency, and efficiency of developer tooling by engineering deep reliability into it and performing advanced system tuning.
- Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks.
- Actively coach, mentor, and guide junior engineers on software craftsmanship.
- Share expert domain knowledge across the department and publish high-quality content to Engineering’s permanent documentation site.
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