Job Title

Stack: Python · Selenium · RPA Tools · Browser & Desktop Automation · LLM & Agent FrameworksWhat You’ll DoEnd-to-End Automation: Design, implement, and maintain robust automation pipelines—from browser tests with Selenium or Python to desktop workflows using robotic process automation.LLM-Powered Agents: Prototype and integrate AI agents that drive decision-making, data extraction, and process orchestration across web and legacy desktop applications.Framework & Tooling: Build and evolve internal automation frameworks, reusable libraries, and CI-integrated test suites to accelerate developer productivity.Cross-Functional Collaboration: Partner with backend, frontend, and AI teams to embed automation hooks, validate feature flows, and ensure end-to-end reliability.Quality & Resilience: Develop comprehensive test strategies (unit, integration, end-to-end) and observability dashboards to proactively detect and remediate failures.Mentorship & Best Practices: Champion automation standards—run workshops, write documentation, and coach other engineers on test-driven development and behavior-driven automation.Ideal ProfileProven Expertise: 5+ years in automation engineering with deep hands-on experience in Python and modern browser automation frameworks (Selenium, PythonRPA).Desktop & RPA Savvy: Solid background with desktop-automation solutions (UiPath, PythonRPA) and scripting legacy applications.AI/LLM Integration: Familiarity with building LLM-based workflows (LangChain, LlamaIndex) or custom agent loops to automate cognitive tasks.DevOps Alignment: Comfortable embedding automation into CI/CD pipelines (GitHub Actions, Jenkins) and leveraging containerized test environments.Analytical Mindset: Strong debugging skills, with an eye for edge cases and race conditions in distributed, asynchronous systems.Leadership & Communication: Able to evangelize automation best practices, present complex ideas clearly, and drive cross-team alignment.What We OfferHigh-Visibility Impact: Own the automation backbone that safeguards product quality and speeds time-to-market.Innovation Playground: Experiment with bleeding-edge AI agents and automation tools in a fast-moving setting.Collaborative Culture: Work alongside passionate engineers, share knowledge, and shape AI and automation vision.