Software Engineer
Posted Updated
- We are the AI Control Tower Team and we are looking for a full stack engineer to help join a dynamic environment. We are responsible for the AI Control Tower application and so this individual will support us by building/upgrading applications as well as on the platform
- Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
- Partner with developers and product owners to understand requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users
- Help design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs
- Help design and implement new products and features while also enhancing the existing product suite
Benefits
- Generous family leave
- Matched donations
- Annual learning stipends
- Flexible PTO
- Competitive retirement plan
- Paid volunteer time
- Passionate about learning and applying AI to solve Developer needs
- Working knowledge and ability to use tools to assist with daily tasks (IDE, debugger, build tools, source control, ServiceNow instances, profilers, system administration/Unix tools)
- Experience with data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations
- Passion for writing code in Java and leveraging the web as a platform, with a strong focus on reusability and componentization
- This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving
- Experience In using AI Productivity tools such as Claude, Windsurf, Cursor, etc is a plus or nice to have
- 2-5 years proficiency in Java, Javascript
- Basic knowledge of relational databases and SQL
- Familiarity with RESTful APIs and modern web services
- Understanding of AI/ML concepts; hands-on experience with LLMs or AI APIs a plus
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry
