Senior Software Engineer, Ecosystems

As a Senior Software Engineer at Ambient.ai, your main responsibilities include building integration software for our AI-powered physical security platform, developing prototypes for new applications, partnering with engineering stakeholders for design and architecture, and collaborating with customer success teams to implement these integrations effectively. You'll also be monitoring the performance and reliability of deployed integrations, ensuring they meet our high standards for efficiency and effectiveness.

To qualify for the Senior Software Engineer role at Ambient.ai, candidates should have a BS/MS in Computer Science or a related field, with at least 4 years of experience in shipping enterprise-grade software. Proficiency in programming languages like Python, Go, or C++ is essential, along with familiarity with database systems and APIs. Strong problem-solving skills and the ability to communicate effectively with stakeholders are also critical to thrive in this dynamic environment.

Ambient.ai utilizes advanced AI and computer vision intelligence to enhance the monitoring capabilities of existing sensor and camera infrastructures. By integrating these technologies into our platform, we can continuously monitor environments for real-time threats while significantly reducing false alarms. This unique approach allows security teams to focus on genuine security threats and improves operational efficiency across various enterprise organizations.

At Ambient.ai, we foster an innovative and collaborative work culture where team members are encouraged to solve challenging problems together. We celebrate diversity and support continuous learning and growth. Employees enjoy flexible time off, including a Winter Break, and have opportunities to connect with their peers. Additionally, as part of our commitment to creating an inclusive environment, we welcome individuals from various backgrounds and experiences.

As a Senior Software Engineer at Ambient.ai, there are ample opportunities for professional development and advancement. You will work closely with various engineering and business teams, giving you a comprehensive understanding of our products and operations. Our dynamic growth presents chances to take on leadership roles or specialize in areas such as integrations, AI technologies, and product development as you progress in your career.

During your response, you should detail your hands-on experience with backend programming languages like Python, Go, or C++. Highlight specific projects where you successfully implemented scalable and efficient solutions, emphasizing your ability to learn and adapt to new technologies quickly as that aligns with Ambient.ai's expectations.

Discuss specific instances where you've integrated third-party APIs into your software solutions. Explain the challenges you faced, how you overcame them, and the impact of your work on the overall project. Be prepared to share your understanding of REST and GraphQL APIs and how you have effectively leveraged them in your integrations.

Share your systematic approach to debugging, including tools you use, methodologies you follow, and how you prioritize issues. Give examples of complex problems you have faced in prior roles and explain how you navigated those situations to find effective solutions that contributed to the project's success.

Highlight the importance of communication and teamwork in cross-functional collaborations. Detail a specific project, your role, and how you ensured that all stakeholders were aligned. Emphasize your ability to adapt your approach based on differing opinions and how it played a pivotal role in achieving project objectives.

Demonstrate your knowledge of Ambient.ai’s mission to prevent security incidents through AI-powered solutions. Articulate how your skills and experiences directly contribute to the innovative development of integration software and application prototypes, thus supporting the company's goal of enhancing security for enterprise organizations.

Discuss the principles of multi-threading and concurrency, highlighting your practical experiences in implementing these concepts. Mention specific instances where they helped optimize application performance or resource utilization and how that contributes to the robustness of enterprise applications.

Provide an overview of challenges like optimizing SQL queries, data integrity issues, or scalability concerns in database management. Explain your problem-solving strategies, whether through performance tuning, indexing, or restructuring queries, and focus on the positive impacts these solutions had on your project's performance.

Describe your ongoing learning strategies, such as attending industry conferences, participating in workshops, or pursuing certifications. Mention specific technologies or trends you are currently researching and how this knowledge can be applied to innovate solutions at Ambient.ai.

Share your perspective on the critical nature of customer feedback in shaping software development. Highlight previous experiences where you've incorporated user feedback to enhance functionality or user experience, demonstrating awareness of customer needs as vital to product success.

Outline a methodical approach to integrating a new data source, including steps like assessing compatibility, designing the architecture, collaborating with stakeholders, and thorough testing. Emphasize the need for clear communication and ensuring that changes align with Ambient.ai’s overall mission and functionalities.