About Louisa AI
Louisa AI, a cutting-edge institutional revenue enablement platform, was originally developed at Goldman Sachs and became an independent entity in 2023. It utilizes AI to maximize revenues by mapping the expertise and relationships within organizations, primarily serving financial institutions. Louisa AI emphasizes connecting people through AI, not replacing them, leveraging relationship graphs and news integration to enhance revenue generation and connections based on expertise, relationships, and relevant information.
Responsibilities:
As a full stack engineer on the Louisa team, you will have the opportunity to:
- Work on a strategic platform used by all divisions across the firm.
- Interact directly with the business and other engineering teams to build innovative solutions to support our business.
- Play a big part in design and implementation in a team-oriented environment.
- Apply an entrepreneurial approach to problem solving and product development.
- Develop your technical skills; we will provide support to help you grow.
Minimum Qualifications:
- Bachelor’s degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline.
- Minimum 5 years of relevant development experience.
- Cloud infrastructure expertise, preferably AWS.
- Experience with JVM languages such as Java, Kotlin, or Scala.
- Experience with API driven development (e.g. Restful, Graph QL).
- Experience with JavaScript and/or TypeScript and modern web development libraries and frameworks such as React.js, Vue.js, or Angular.js.
Extra awesome:
- Experience with migrating an existing on-prem application to the cloud.
- Experience with continuous integration and deployment.
- Experience with API driven development (e.g. Restful, Graph QL).
- Experience with build tools across the stack such as Gradle and Webpack.
- Experience working with large software systems, cloud services, and databases (SQL and NoSQL).
- Sound understanding of SDLC processes.
- Excellent written and verbal communication skills.
- Ability to solve problems and apply analysis to make data driven decisions.
- Comfortable multi-tasking, managing multiple stakeholders and working in a global team.
