Full-Stack AI Software Engineer

Full-Stack AI Software Engineer

Are you a Full-Stack AI Software Engineer with a passion for building impactful software solutions? We're looking for an experienced engineer to join an innovative team in the Private Wealth Management space, where AI technology is driving change. This role provides the opportunity to work on both front-end and back-end systems to create AI-driven applications that optimize processes and support smarter decision-making. If you're looking to shape the future of finance through advanced AI, this could be the role for you.

About Us

This venture-backed startup, nestled in Silicon Valley, focuses on creating enterprise software solutions that redefine Private Wealth Management. By leveraging AI and advanced software, we aim to drive productivity and enhance decision-making capabilities. With a robust team and a clear mission, we’re committed to bringing new levels of efficiency and intelligence to wealth management. This role will play a key part in achieving these goals.

About the Role

As a Full-Stack AI Software Engineer, you will develop and maintain AI-powered applications that are both scalable and effective. This hybrid position combines the demands of front-end and back-end development, utilizing NLP techniques and integrating AI models into robust software solutions. Based in the San Francisco Bay Area with some remote flexibility, we’re seeking a Full-Stack AI Software Engineer available to start full-time by January 2025.

What We Can Offer You

• Competitive compensation and benefits package
• Flexible work schedule with hybrid remote options
• Opportunities to work with cutting-edge AI and ML technology
• Collaborative, mission-driven environment
• Support for professional growth and ongoing learning

Key Responsibilities

• Design, develop, and maintain AI-driven applications across full-stack systems
• Implement natural language processing (NLP) techniques within applications
• Build and optimize user interfaces for seamless functionality
• Integrate AI models into scalable software systems for the wealth management sector
• Collaborate with cross-functional teams to ensure smooth project execution
• Ensure best practices in code quality, security, and maintainability

Keywords- AI, Machine Learning, Python, JavaScript, Cloud platforms, AWS, Google Cloud, Azure