Engineering Lead

March 12

🔄 Hybrid – San Francisco

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AI Fund

Together, let's build great companies that move humanity forward.

deep learning • machine learning • artificial intelligence • startup • entrepreneurship

11 - 50

Description

• Developing scalable microservices and APIs • Collaborating with front-end engineers to integrate user-facing elements with server-side logic • Taking ownership of code quality by implementing unit tests and participating in code reviews • Working closely with other teams to improve system consistency, availability and performance • Architecting systems that meet current and near-term product goals, with strong attention to scalability and simplicity where possible • Defining engineering best practices and workflows along with the rest of the team • Keeping on top of the latest backend technologies to ensure we are always using the best techniques and tools • Interfacing with customers to understand requirements and provide technical solutions • Implementing security measures and data protection settings following best practices

Requirements

• Proven experience as a Senior Backend Engineer • Self-starter attitude comfortable working in an early-stage environment • Proficiency in at least one back-end language (e.g., Python, Java) • Experience with databases (like DynamoDB, PostgresSQL), web servers (such as Apache), and deployment systems (e.g., AWS, Kubernetes) • Strong familiarity with AWS • Understanding of RESTful APIs and microservices best practices • Excellent communication skills to engage in-depth technical discussions with both the engineering team and business team • Technical foresight in predicting and addressing potential issues in the tech stack

Benefits

• Competitive compensation package and benefits • Chance to learn and collaborate with famous researchers in the AI and digital economy space: Andrew Ng, Erik Brynjolfsson, Andy McAfee, and Daniel Rock • Unique opportunity to help build a company, culture, and products from the ground up with a team that values healthy working practices • High-trust, high-autonomy work environment

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