Develop and operate scalable AI applications from the backend logic, while focusing on security and operational excellence
Apply Agentic coding practices to develop new and AI augmented features for the application
Participate in technology roadmap discussions to turn business requirements into functional autonomous solutions
Write, debug, and troubleshoot code in mainstream open-source AI technologies and maintain the code base for a Data Analytics and validation platform
Capture and refine requirements across multi-disciplinary teams
Perform system validation and ongoing support for application
Diagnose and resolve performance issues
Document code/processes so that any other developer is able to dive in with minimal effort
Integrate our systems with existing internal systems
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network or service operations and quality

Bachelor's degree or equivalent experience
5+ years experience working in Java and Python
Experience working with Agentic Frameworks (e.g., ADK, LangChain, LangGraph)
5+ years experience of working with APIs
Experience building and consuming RESTful APIs
GenAI Fundamentals: Understanding of how LLMs work, including Context Engineering
5+ years with SQL and postgreSQL
5+ years experience with software build management tools like Maven or Gradle and backend technologies such as JAVA/J2EE, SpringBoot and Microservices
5+ years experience with software testing, performance, and quality engineering techniques and strategies
3+ years experience with Cloud technology: Google Cloud Platform
Experience with source code control management systems (e.g. Github copilot, Gemini CLI)

Comprehensive compensation and healthcare packages
401k matching
Paid time off
Organizational growth potential through online learning platform with guided career tracks

Senior AI Automation Engineer

Key skills