Gen AI Senior Software Engineer

The application window is expected to close on: 12/30/2026

Who We Are The Cisco IT team is changing the way we run Cisco's operations by leveraging the power of technology, the best of business processes, and utilizing outstanding data insights. We are redefining how Cisco designs and delivers the employee, partner, and customer experience based on a culture that values customer service. We strive for speed and agility in all that we do.

Above all else, we are kind to each other. We aspire to be an industry-leading IT team, with a strong focus on AI and security to differentiate us and foster innovation. To achieve simplicity and the best employee and customer experience, we need excellent talent and the right abilities to succeed.

Who You'll Work With You will work with our amazing Enterprise Data & Platforms team as part of Cisco IT organization. You will build solutions and support them across our portfolio of capabilities, primarily focusing on enabling AI/ML and Generative AI capabilities in a multi-functional team setup. You will collaborate with other engineers, architects, and organization leadership.

Who You Are We are looking for a highly skilled Senior Software Engineer with Gen AI skills to lead the development, deployment and management of Gen AI based applications and services, with a focus on Retrieval Augmented Generation (RAG) and Agentic AI. This role requires expertise in developing and supporting large-scale GenAI applications, with a strong emphasis on AI-first engineering. The successful candidate will have extensive experience in responsible AI practices, including toxicity screening and ensuring regulatory compliance across AI solutions.

What You’ll DoDesign, develop, deploy, and optimize high-performance, scalable Generative AI frameworks for on-premise and cloud environments.

Architect secure workflows for end-to-end document processing, including ingestion, classification, retrieval, and automated fine-tuning pipelines.

Implement robust data security, encryption, and access control protocols to ensure compliance with organizational and regulatory standards.

Optimizes model architecture and hyperparameters, exploring advanced techniques and fine-tuning strategies, to achieve superior performance and address scalability challenges.

Integrate responsible AI practices, including toxicity screening, bias detection, and ethical auditing, to ensure safe and compliant model deployment.

Collaborate with cross-functional, legal, and governance teams to maintain alignment with evolving privacy and security frameworks.

Monitor and maintain AI infrastructure with real-time alerting to ensure system stability and performance.

Stay current with advancements in Generative AI, document security, and ethical AI development to drive continuous infrastructure improvement.

Minimum Qualifications Bachelor's in Computer Science, Computer Engineering, Electrical Engineering, or a related STEM field with 10 years of related experience OR Master's + 7 years of related experience.
3+ years hands-on experience in Gen AI engineering on production use cases.

Proficiency in software engineering best practices, design and development of containerized large-scale distributed applications, and use of Dev Ops and CI/CD tools,Proficiency in Python programming language or similar.

Hands-on experience with Gen AI frameworks such as Lang Chain, Llama Index, Lang Smith, AI operators, with proficiency in Python for AI operations.

Experience with vector databases, such as Weaviate, Pinecone, Milvus or similar.

Preferred Qualifications Master’s Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related STEM field.

Experience with design and development of advanced Agentic AI workflows…