AI Automation Engineer

Location: Noida, India

Department: Data Science

Experience: 6 yrs

Skills: flutter, Agentic AI, Claude, Agile Development, Workflow Automation, dart, Cloud, AI Engineering, GENAI, RAG

• Automated Issue Triaging: Architect and deploy intelligent triage tools and LLM/agentic workflows to auto-classify, deduplicate, prioritize, and route incoming Flutter framework and application issues.
• Pull Request (PR) Automation: Develop automated PR review assist bots, static analysis integrations, and continuous regression check triggers to accelerate code review cycles and framework PR merges.
• Release & SDK Freshness: Build automated pipelines to track dependency upgrades, flag breaking changes, validate engine bumps, and ensure continuous freshness across Flutter Web, iOS, and Android builds.

• AI & Agent Infrastructure: Design, implement, and maintain scalable AI automation workflows, test execution platforms, and agentic tools tailored to the Dart and Flutter ecosystem.
• Continuous Integration & Testing Pipelines: Integrate AI automation tools into modern CI/CD systems and physical device testing matrix environments.
• Workflow & Process Optimization: Analyze delivery metrics—such as triage latency, PR cycle time, flakiness rates, and build freshness—and engineer automated solutions to eliminate developer friction.

• Program Solution Driver: Serve as the primary technical authority for AI tooling across all six program workstreams (Design Systems, Issue Repro & Triage, SDK Freshness, Release QA, Framework Bug Fixing, and AI Automation).
• Delivery Location Standard-Bearer: Lead AI adoption and technical capability building within the regional delivery center (Mexico Pod), establishing coding standards, reusable automation assets, and technical blueprints.
• Cross-Functional Collaboration: Partner directly with Google engineering leads, Technical Program Management (TPM), and workstream leads to align AI initiatives with client delivery milestones.

• Experience: 6+ years in software engineering, test automation, or DevOps, with at least 2+ years dedicated to building AI/ML-assisted developer tooling, LLM integrations, or workflow automation agents.
• Flutter & Dart Ecosystem: Deep familiarity with the Flutter framework across Mobile (iOS/Android) and Web, including Dart build systems, DevTools, and native testing toolkits (flutter_test, integration_test).
• AI / Agentic Tooling: Hands-on experience implementing AI/LLM APIs, prompt engineering, or autonomous workflow agents for code analysis, bug triaging, or test script generation.
• CI/CD & DevOps Automation: Proven track record configuring cloud automation pipelines (GitHub Actions, Google Cloud Build, or GitLab CI) and managing automated release workflows.
• Technical Leadership: Demonstrated success as a senior or lead engineer driving solution architecture, mentoring engineering teams, and leading technical initiatives across distributed client engagements.
• Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent practical experience.

• Prior experience working within Google vendor engagements, Buganizer, or Google Cloud infrastructure.
• Experience with static analysis tools, AST (Abstract Syntax Tree) parsing in Dart, or custom linter development.
• Familiarity with mobile device cloud test labs (e.g., Firebase Test Lab) and physical device farm automation.