Founding Software Engineer (Full-Stack / AI)

As a Founding Software Engineer at Strada, your primary responsibilities include developing, evaluating, and deploying advanced conversational AI systems. You will lead the design and implementation of new features, work on cross-functional projects, and collaborate directly with clients to understand their needs. You'll also be involved in optimizing our existing infrastructure using technologies such as TypeScript, React, and Node.js, ensuring top-notch performance and usability.

To qualify for the Founding Software Engineer position at Strada, candidates must have a minimum of 3 years of full-stack development experience, preferably within a startup environment. Essential skills include strong proficiency in TypeScript, React, and Node.js, as well as experience with AWS and PostgreSQL. A customer-first mindset, effective communication skills, and a passion for working independently and in teams are also crucial.

At Strada, a Founding Software Engineer will primarily work with a tech stack that includes TypeScript, React, and Node.js. Additionally, there may be opportunities to engage with Temporal and other innovative technologies, particularly in the realm of voice AI. You will also have the chance to contribute to projects involving LLM deployment and data-intensive applications.

While direct experience in AI is not strictly required for the Founding Software Engineer role at Strada, a passion for AI advancements and the willingness to learn is essential. If you have experience deploying LLM-based products or working on data-intensive applications, that would be advantageous. Ultimately, your drive to innovate in voice AI will be as valuable as your technical skills.

Strada offers a competitive salary with meaningful equity options for Founding Software Engineers, along with favorable equity terms. Employees enjoy a Macbook Pro, 4K display, and all necessary accessories, as well as comprehensive health, dental, and vision insurance. We also emphasize team culture with regular events and offsites designed to enhance collaboration and camaraderie.

When answering this question, highlight your specific projects that utilize TypeScript. Discuss how you’ve applied TypeScript features to enhance code quality and maintainability, and explain any particular challenges you faced along the way.

Begin your answer by outlining your step-by-step process, including planning, backend architecture, API development, and frontend implementation. Highlight your experience with user testing and iteration based on user feedback to ensure the application is user-friendly.

Illustrate your systematic approach to debugging, such as narrowing down issues through logging and testing. Emphasize the tools you use and how you keep a customer-centered mindset while addressing potential bugs in your code.

Share a specific challenge that showcases your problem-solving skills. Discuss how you identified the problem, the steps taken to resolve it, and the technologies used. Focus on the results and how it impacted the team or the product.

Discuss your understanding of scalability principles, and provide examples of how you've applied them in previous projects. Mention load testing, efficient database design, and modular code architecture as strategies you've used.

Be specific about the services you've utilized within AWS, such as EC2, RDS, Lambda, etc. Discuss how you optimized cloud deployment for performance and cost efficiency, and mention any lessons learned from your experiences.

Express your belief in the importance of communication, emphasizing times when you successfully translated technical jargon into relatable terms for non-technical stakeholders. This shows your ability to bridge the gap between technical and customer needs.

Highlight teamwork, communication, and a diverse set of skills as key factors. Share examples of how you’ve fostered collaboration in previous roles, and explain how effective teams lead to better product outcomes.

Discuss your strategies for continuous learning, such as attending workshops, following industry blogs, or participating in online courses or communities that focus on AI and machine learning. Emphasize your proactive approach to staying current.

Share personal anecdotes or experiences that led to your interest in conversational AI. Explain how you envision the future of AI and its potential to transform industries, connecting it back to why this role at Strada particularly excites you.