Sr. Full Stack Software Engineer (AI)

As a Sr. Full Stack Software Engineer (AI) at Bridgewater Associates, you will design and develop prototype applications that blend investment with technology. Your duties will include collaborating closely with investors and research scientists to create impactful prototypes, working end to end with both front-end and back-end technologies, and ensuring these prototypes transition smoothly into production.

To qualify for the Sr. Full Stack Software Engineer (AI) position at Bridgewater Associates, you should have a minimum of 5 years of experience in a rigorous technical environment. Proficiency in programming languages, particularly Python and Node.js, as well as front-end frameworks such as React and Next.js is essential. Familiarity with generative AI technologies will also be beneficial, along with excellent communication skills to collaborate effectively across teams.

Bridgewater Associates is committed to supporting its Sr. Full Stack Software Engineers (AI) through comprehensive benefits including fully covered health insurance, generous paid time off, and a robust 401(k) plan. Additionally, you'll find a workplace that emphasizes wellness, offers professional growth, and fosters a culture of openness and transparency.

A Sr. Full Stack Software Engineer (AI) at Bridgewater Associates should be proficient in full-stack technologies. This includes backend frameworks such as Python and Node.js, along with front-end technologies like React, Typescript, and CSS. Experience with cloud platforms, particularly AWS, and generative AI tools will greatly enhance your effectiveness in this role.

The work environment for a Sr. Full Stack Software Engineer (AI) at Bridgewater Associates is characterized by a culture that values openness, innovation, and collaboration. You will be part of a dynamic team that encourages rigorous problem-solving and transparency, allowing for meaningful discussions and continuous improvement in investment strategies and engineering practices.

When answering this question, detail your past projects, particularly those that involve financial services or investment tools. Explain how you approached the challenges specific to this domain, such as data handling and compliance, and how you utilized technologies like Python and React in your work.

Share your strategies for effective communication and understanding of user needs. Describe instances where you translated technical requirements into user-friendly prototypes, emphasizing your ability to bridge the gap between technology and business.

Discuss your knowledge of generative AI tools and how you've integrated them into your projects. Provide examples of specific tools like Cursor or Claude Code and how they enhanced your workflow, fostering innovation and efficiency in your projects.

Detail a specific example where you faced significant obstacles, particularly in a financial context. Explain your problem-solving process, the technologies you employed, and the outcome, showcasing your resilience and technical acumen.

Explain your methods for continuous learning, such as attending relevant industry conferences, following thought leaders in the AI and finance domains, or engaging with online communities. Emphasize your commitment to professional development and innovation.

Share specific instances where you've identified inefficiencies in previous roles and proactively implemented changes that enhanced the team’s productivity or quality of work, especially in high-stakes environments like finance.

Discuss the importance of user feedback in your projects, particularly how you collect and analyze it to refine prototypes or products. Provide examples of changes you've made based on user insights and the impact on the project outcome.

Highlight your knowledge of secure coding principles, particularly in the context of financial applications. Discuss specific practices you implement to protect sensitive data, such as validation, authentication processes, and regular code reviews.

Describe your strategy for task prioritization and time management, particularly in fast-paced environments. Discuss tools you use, such as Agile methodologies or project management software, to keep projects on track and ensure timely delivery.

Express your passion for both fields and how you see their convergence as an opportunity for innovation. Share specific insights you have on how AI can enhance investment strategies, backed by your technical expertise and understanding of market dynamics.