Gen AI Senior Software Engineer
About The Position
Cisco IT is seeking a Senior Software Engineer with Generative AI skills to develop, deploy, and manage Gen AI applications and services, with a focus on Retrieval Augmented Generation (RAG), Agentic AI, and AI-first engineering. The role is part of the Enterprise Data & Platforms team and involves building and supporting AI/ML and Generative AI capabilities across Cisco’s portfolio. The engineer will collaborate with engineers, architects, organizational leadership, and cross-functional legal and governance teams. The position focuses on developing and supporting large-scale GenAI applications, including scalable frameworks for on-premise and cloud environments, secure document-processing workflows, and responsible AI practices. The engineer will help ensure solutions meet organizational and regulatory requirements while maintaining performance, security, and reliability.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related STEM field with 10 years of related experience, or a master’s degree with 7 years of related experience.
- At least 3 years of hands-on experience in Generative AI engineering on production use cases.
- Proficiency in software engineering best practices and in designing and developing containerized, large-scale distributed applications.
- Experience using DevOps and CI/CD tools.
- Proficiency in Python or a similar programming language.
- Hands-on experience with Generative AI frameworks such as LangChain, LlamaIndex, LangSmith, or AI operators, with proficiency in Python for AI operations.
- Experience with vector databases such as Weaviate, Pinecone, Milvus, or similar.
Nice To Haves
- Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related STEM field.
- Experience designing and developing advanced Agentic AI workflow orchestration.
Responsibilities
- Design, develop, deploy, and optimize high-performance, scalable Generative AI frameworks for on-premise and cloud environments.
- Architect secure end-to-end document-processing workflows, including ingestion, classification, retrieval, and automated fine-tuning pipelines.
- Implement data security, encryption, and access-control protocols to meet organizational and regulatory standards.
- Optimize model architecture and hyperparameters, and explore advanced techniques and fine-tuning strategies to improve performance and address scalability challenges.
- Integrate responsible AI practices, including toxicity screening, bias detection, and ethical auditing, for safe and compliant model deployment.
- Collaborate with cross-functional, legal, and governance teams to align 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 infrastructure improvement.
Benefits
- Medical, dental, and vision insurance for eligible U.S. employees.
- 401(k) plan with Cisco matching contribution.
- Paid parental leave.
- Short- and long-term disability coverage.
- Basic life insurance.
- Paid holidays and a floating holiday for non-exempt employees.
- Employee birthday day off, paid year-end holiday shutdown, and paid personal wellness days.
- Paid vacation time for non-exempt employees or flexible vacation time off for eligible exempt employees.
- Sick time off, including eligible carryover.
- Additional paid time away may be requested for critical or emergency family issues.
- Optional paid volunteer days.
- Annual bonuses may be available for non-sales roles, subject to Cisco policies.
- Eligible employees may receive Cisco restricted stock unit grants.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
