Gen AI Senior Software Engineer
About The Position
The Senior Software Engineer will lead the development, deployment, and management of Generative AI applications and services, with a focus on Retrieval Augmented Generation (RAG) and Agentic AI. The role builds and supports large-scale GenAI applications using AI-first engineering practices, while applying responsible AI measures such as toxicity screening and regulatory compliance. The engineer works with Cisco IT’s Enterprise Data & Platforms team to enable AI/ML and Generative AI capabilities across a portfolio of solutions, collaborating with engineers, architects, organizational leadership, and cross-functional legal and governance teams.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related STEM field and 10 years of related experience, or a master’s degree and 7 years of related experience.
- At least 3 years of hands-on GenAI engineering experience on production use cases.
- Proficiency in software engineering best practices; design and development of containerized, large-scale distributed applications; and DevOps and CI/CD tools.
- Proficiency in Python or a similar programming language.
- Hands-on experience with GenAI 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 support organizational and regulatory compliance.
- 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.
- 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 support system stability and performance.
- Stay current with Generative AI, document security, and ethical AI advancements to drive continuous infrastructure improvement.
- Build and support AI/ML and Generative AI solutions across Cisco’s portfolio of capabilities.
Benefits
- Medical, dental, and vision insurance.
- 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, year-end holiday shutdown, and personal wellness days.
- Vacation time, including a flexible vacation time-off program for eligible exempt employees.
- Sick time off, with carryover of unused sick time subject to the stated limit.
- Additional paid time away may be requested for critical or emergency family issues.
- Optional paid volunteer days.
- Annual bonuses for eligible non-sales employees, subject to Cisco policies.
- Eligible employees may receive Cisco restricted stock unit grants, subject to vesting conditions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
