Senior Full Stack Engineer - AI Focus (Backend + AI Applications)

As a Senior Full Stack Engineer - AI Focus, your primary responsibilities will include leading the design and development of scalable backend systems, optimizing AI models for integration into our platform, and collaborating with cross-functional teams to create AI-powered features. You’ll also provide mentorship to junior engineers and ensure that AI applications operate seamlessly with our infrastructure.

To qualify for the Senior Full Stack Engineer - AI Focus role, you should possess a Master's or PhD in Artificial Intelligence, Machine Learning, or Computer Science, along with 4-5+ years of professional experience focused on AI and backend systems. Previous experience with top-tier AI companies is highly preferred, and strong technical skills in languages like Node.js, Python, and Java as well as familiarity with AI frameworks like TensorFlow and PyTorch are essential.

Collaboration is key for a Senior Full Stack Engineer - AI Focus. You’ll work closely with product managers, data scientists, and other engineers to define and implement AI-driven features. Regular meetings and agile methodology will help facilitate communication, ensuring that projects remain on track while allowing for input from diverse team members.

To succeed as a Senior Full Stack Engineer - AI Focus, you'll need advanced skills in backend technologies such as Node.js, Python, or Java, alongside cloud platforms like AWS or GCP. A deep understanding of AI models, especially transformer-based models like Llama and GPT, along with proficiency in machine learning frameworks, is vital for your role.

Currently, the Senior Full Stack Engineer - AI Focus role is remote, allowing for great flexibility. However, there will be opportunities to transition to a hybrid work model in California soon. Our work environment fosters collaboration, innovation, and continuous learning, making it a great place to advance your career.

Highlight your relevant experience with backend technologies like Node.js, Python, or Java. Discuss specific projects where you designed scalable systems or developed APIs, and illustrate your understanding of how these technologies integrate with AI models to create robust applications.

Share your experience with AI models such as Llama or GPT and explain how you integrated them into existing systems. Discuss challenges you faced during integration and the approaches you took to overcome them, emphasizing your problem-solving skills.

Mention your strategies for staying informed, such as following industry publications, attending conferences, or participating in online forums. Emphasize a commitment to lifelong learning and mention any relevant certifications or courses you've completed.

Describe a project where you played a significant role in developing AI applications. Talk about your specific contributions, the technologies used, the outcome of the project, and what you learned from the experience.

Discuss attributes like patience, strong communication skills, and the ability to provide constructive feedback. Mention how you’ve previously mentored junior engineers, focusing on how you helped them grow technically and professionally.

Explain your process for model optimization, including steps like feature engineering, hyperparameter tuning, and validating performance metrics. Use a specific example if possible to illustrate your methodology and the success it achieved.

Describe how you simplify complex AI concepts for non-technical stakeholders, perhaps by using analogies or visual aids. Emphasize the importance of understanding their needs and ensuring that they align with technological capabilities.

Talk about your proficiency with cloud platforms like AWS, GCP, or Azure, detailing how these tools enhance the scalability and deployment of AI applications. Mention specific services you’ve used, such as model hosting or data storage, to back your experience.

Explain your task prioritization strategies, mentioning the importance of deadlines, impact on project goals, and communication with team members. Share any tools or techniques you use to manage your workload effectively.

Articulate your reasons for wanting to join the company, focusing on its innovative approach to AI and how it aligns with your career goals. Mention specific aspects of the company or its culture that appeal to you and how you can contribute to its success.