Role OverviewJoin a cutting-edge team focused on designing, building, and securing modern AI systems that power autonomous agents and LLM-powered applications. This team operates at the intersection of applied machine learning, software engineering, and security, delivering trustworthy, observable, and resilient AI solutions that address software security across Cisco and the industry.
What You Will Do
Design and implement agentic AI systems using frameworks such as LangGraph, DeepAgents, Claude, OpenCode, or custom orchestration layers. Build, evaluate, and deploy LLM-powered applications including agentic RAG pipelines, multi-agent workflows, and tool-using assistants.
Why It Might Be a Fit
You will be part of a collaborative environment that values innovation, security, and operational excellence. You will fine-tune open-weight models and collaborate with embedded engineering teams to deploy models effectively.
Requirements
- Hands-on experience building agentic AI systems involving tool use, planning loops, multi-step reasoning, agent memory, and state management.
- 3+ years of experience in Software Engineering in an enterprise environment with technologies like Python, JavaScript, Typescript, or Go
- Working experience of LLM orchestration frameworks and creating agentic harnesses and agent skills.
- Familiarity with model training, evaluation, and troubleshooting to improve accuracy and reliability.
- Ability to develop reusable code aimed at automation and collaborate with engineering teams for deployment.
Benefits
- medical, dental and vision insurance
- 401(k) plan with a Cisco matching contribution
- paid parental leave
- short and long-term disability coverage
- basic life insurance
- paid time away
- paid vacation time
- sick time off
- volunteer time off
- annual bonuses
- performance-based incentive pay
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