Software Engineer, AI

As a Software Engineer, AI at Censys, you will engage in rapidly prototyping and deploying AI features that enhance user interactions with our platform. Your role will include leveraging AI to improve workflows, developing analytics tools, and collaborating with product managers and designers to create intuitive UI components that integrate AI functionalities seamlessly.

Candidates for the Software Engineer, AI role at Censys should possess strong experience in full-stack AI development with proficiency in Python, particularly FastAPI for backend development, and React for frontend integrations. Additional desirable skills include familiarity with AI model optimization, CI/CD practices, and working knowledge in cybersecurity environments.

AI transforms the responsibilities of a Software Engineer at Censys by driving the creation of smarter, faster, and more user-friendly applications. You’ll not only implement AI-driven features but also analyze user behavior to refine and enhance these features, making data-driven decisions that resonate with our audience.

To stand out as a Software Engineer, AI at Censys, advanced knowledge in AI and machine learning is crucial. Experience with retrieval-augmented generation (RAG), LLM fine-tuning, and AI-driven analytics will be beneficial. Additionally, a strong grasp of deploying AI securely, particularly in sensitive environments like cybersecurity, will enhance your candidacy.

The team culture at Censys for a Software Engineer, AI is collaborative and innovative. We encourage cross-functional partnerships and value open communication, allowing you to share ideas freely. With flexible work hours and hybrid remote capabilities, you’ll find a supportive environment that promotes both professional growth and work-life balance.

In your response, highlight specific projects you've worked on involving AI. Discuss the technologies you've utilized, specifically focusing on AI frameworks and how you've incorporated AI into user interfaces or applications, illustrating your hands-on experience and understanding of AI's impact on user experience.

Be specific by mentioning projects where you've used Python, especially with FastAPI for backend development. Discuss how you've effectively implemented API development and what challenges you've encountered, along with how you overcame them, showcasing your problem-solving skills.

Discuss methodologies such as Agile that you've implemented in your past roles, emphasizing your approach to quickly iterate and test AI features while maintaining quality and performance. Mention any tools or frameworks that assist in rapid prototyping.

Illustrate your answer with a scenario where you've worked on optimizing AI models for responsiveness. Detail the techniques, tools, or processes you utilized and the impact it made on the application's performance or user experience.

Explain your hands-on experience with React to integrate AI functionalities into UI components. Share specific projects, discussing how you enhanced user experiences through AI-driven UI, and any challenges faced while ensuring seamless integration.

Emphasize your teamwork skills by providing examples of successful collaborations. Discuss how you’ve worked with cross-functional teams to align objectives and create user-centric, AI-driven features. Focus on communication and adaptability.

Talk about the resources you utilize to keep abreast of advancements in AI, such as online courses, webinars, blogs, or industry events. Highlight how you apply new knowledge to your work, emphasizing continuous learning and improvement.

Express your understanding of the inherent risks in deploying AI, especially concerning privacy and data security. Discuss best practices you follow to ensure compliance and safeguard sensitive information in AI applications.

Outline your methodologies for testing AI systems, such as unit testing, integration testing, and user acceptance testing. Discuss how you ensure that features not only meet requirements but also maintain high standards of user experience.

Share your passion for the intersection of AI and cybersecurity. Discuss its transformative potential in threat detection, risk management, and user interaction, highlighting why this niche excites you and how you foresee making an impact at Censys.