Meet The Team
The Cisco AI Software& Platform Group drives the development of groundbreaking generative AI applications. We empower Cisco's diverse product portfolio, spanning networking and security, with intelligent assistants and agents. We work on pioneering technologies that proactively defend against threats, safeguard critical business assets, and simplify security operations. Fueled by a passion for AI/ML, we strive to create a secure future for businesses. Our collaborative and passionate team thrives with tackling sophisticated challenges and delivering innovative solutions.
Your Impact
We are seeking a hardworking and passionate Software Engineer to join our growing AI Defense team. In this role, you will play a crucial part in building pioneering generative AI applications that will power innovation across our entire company. You will work closely with data scientists, collaborate with other engineers and multi-functional teams, and give to the development of robust, scalable, and high-performance AI solutions.
Develop pioneering AI applications: Design and build innovative generative AI applications that are secure, reliable, and scalable.
Translate business needs into technical solutions: Work closely with partners to understand business requirements and translate them into technical specifications and roadmaps.
Experiment and innovate: Experiment with different generative AI models and architectures, evaluate their performance, and find opportunities for improvement.
Build developer tools: Develop and maintain APIs, SDKs, and other tools that enable seamless integration of AI capabilities into various applications.
Instrumentation: Implement the right types of instrumentation to supervise and measure the performance, reliability, and security.
Fixing: Debug and fix integration issues, identifying bottlenecks or errors and implementing solutions to optimize service interactions.
Scale and Performance Optimization: Work on scale and performance tuning and optimization of different components to ensure efficient, responsive operation for handling large volumes of requests.
Collaborate effectively: Work closely with data scientists, researchers, product managers, engineers, and other customers to ensure successful project delivery.
Chip in to a strong engineering culture: Participate actively in code reviews, knowledge sharing sessions, and team discussions.
Stay ahead of the curve: Continuously learn and stay abreast of the latest advancements in AI/ML research, industry trends, and standard methodologies.
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