Lead AI Software Engineer

As a Lead AI Software Engineer at Buyers Edge Platform, your primary responsibilities include developing and deploying scalable APIs, managing a team of engineers, designing data retrieval pipelines from various databases like Redshift and MySQL, and troubleshooting issues related to API performance. You will also work closely with AI teams to integrate APIs with agentic software and continuously drive scalability improvements.

To qualify for the Lead AI Software Engineer position at Buyers Edge Platform, candidates should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with over 7 years of backend development experience, including at least 2 years in a leadership role. Proficiency in Python, Node.js, and cloud technologies such as AWS is essential, along with experience in API development and working with databases.

Yes, the Lead AI Software Engineer position at Buyers Edge Platform is fully remote, allowing you the flexibility to work from anywhere while still being part of a collaborative and diverse team dedicated to driving innovation in the foodservice industry.

The Lead AI Software Engineer at Buyers Edge Platform will engage in projects focused on developing and integrating scalable APIs, working with AI-powered applications, and optimizing data processing pipelines. You’ll be involved in designing systems that can handle high traffic and large datasets, propelling the technology behind our innovative solutions in the foodservice sector.

At Buyers Edge Platform, we prioritize employee growth and professional development. As a Lead AI Software Engineer, you'll benefit from a comprehensive training program and opportunities to advance your skills. We believe investing in your success is key, encouraging you to stay current with industry trends and best practices.

In your response, focus on specific projects where you have successfully developed and deployed APIs. Highlight your familiarity with RESTful services, authentication methods like OAuth and JWT, and your exposure to cloud deployments, particularly on AWS. Sharing metrics on performance improvements can also be impactful.

When answering this question, discuss approaches such as designing APIs with scalability in mind, utilizing cloud services seamlessly, and implementing efficient data retrieval methods. Providing real-world examples of successful strategies that enhanced efficiency in previous projects will demonstrate your expertise.

In addressing this, consider mentioning specific instances where you encountered challenges like differing skill levels or project timelines. Discuss how you balanced hands-on leadership with team management, emphasizing your capacity for mentorship and fostering a collaborative work environment.

Share your strategies for staying informed, such as following industry blogs, participating in webinars, attending conferences, or engaging with the developer community online. Highlight your proactive approach to continuous learning and staying relevant in a fast-evolving field.

Discuss your hands-on experience with these databases, providing examples of projects where you designed and optimized data structures. Focus on your understanding of the differences in handling big data versus traditional databases, and how you selected the right tool for various tasks.

Talk about your methodical approach to debugging issues, such as analyzing logs, employing performance monitoring tools, and conducting load tests. Sharing an anecdote about a specific challenge and how you resolved it can further illustrate your problem-solving capabilities.

Your answer should reflect your communication skills. Emphasize your ability to distill complex ideas into clear, simple terms, using analogies or visual aids where appropriate. Mention previous experiences where you successfully conveyed information to diverse audiences.

Discuss key features you think are vital, such as responsiveness, accuracy in responses, and user-friendly interfaces. Explain how these elements contribute to an effective AI application and your past experience in implementing or enhancing such features.

Highlight a project that showcases your leadership skills. Describe your role, the challenges faced, and the positive outcome achieved. Use metrics or specifics to illustrate the success and how it impacted the organization or product.

Outline your organizational strategies, such as using agile methodologies, prioritizing based on impact, and considering team workload. Share examples of how you effectively juggled multiple demands while ensuring project goals were met.