3 days ago
Base Salary
$168k - $245k/yr
Responsibilities
- Design and deliver the AI agent platform from initial architecture through production operation.
- Build the agent harness, SDKs, AI infrastructure, governance, context and memory systems, evaluation and observability capabilities, user experiences, and production agents.
- Write code, review designs and pull requests, and solve complex technical problems.
- Create reusable platform capabilities with clear interfaces, versioning, and documentation.
- Improve latency, reliability, cost, security, observability, and evaluation for production AI workloads.
- Define SLOs, participate in on-call rotations and incident reviews, and operate the systems built.
- Partner with architects, product managers, security teams, and domain teams to translate business requirements into technical solutions.
- Share knowledge and mentor peers through code reviews, design discussions, and documentation.
Requirements
- Bachelor's degree plus 7 years of experience or a master's degree plus 4 years of experience in building and running production backend or distributed systems; the degree is expected to be in computer science or a related field.
- Experience shipping LLM-powered applications or agents to production and handling failures.
- Experience with Python and with designing frameworks, SDKs, or platform APIs used by other engineers.
- Experience with distributed-systems fundamentals including API design, asynchronous and event-driven processing, streaming, caching, rate limiting, and fault tolerance.
- Preferred qualifications include agent tool and function calling, multi-step and multi-agent orchestration, durable execution, human-in-the-loop approvals, and LangGraph/LangChain or comparable frameworks.
- Preferred qualifications include MCP, A2A, A2UI, RAG, vector and hybrid search, memory systems, model providers and LLM infrastructure, backend APIs, event streaming, evaluation and observability, AI safety and governance, security, cloud-native infrastructure, and React-based AI user experiences.
- Clear written communication, including design documentation explaining trade-offs to engineers and leadership, is preferred.
- Experience building internal platforms or SDKs adopted by multiple teams, operating AI systems for enterprise customers, or contributing to open-source agent frameworks or protocols is a bonus.
Benefits
- Medical, dental, and vision insurance are available to eligible U.S. employees.
- Eligible employees may receive a 401(k) plan with Cisco matching contributions, paid parental leave, short- and long-term disability coverage, and basic life insurance.
- Employees may be eligible for Cisco restricted stock unit grants.
- Paid time off includes holidays, floating and birthday holidays, year-end shutdown, wellness days, vacation or flexible vacation time, sick time, and certain family emergency leave.
- Eligible employees may receive up to 10 paid volunteer days per year.
- Non-sales employees are eligible for annual bonuses subject to Cisco policies.
- The application window is expected to close on 11/19/2026.
Tech Stack
Apache KafkaAWSAzureDockerElasticsearchFastAPIGitHub ActionsGoogle Cloud PlatformGrafanagRPCHelmJavaJenkinsKubernetesPostgreSQLPrometheusPythonReactRedisTerraformVault
Categories
About Cisco
Cisco designs and sells networking, security, and collaboration platforms for enterprises, service providers, and governments, spanning routers and switches, Wi‑Fi, firewalls, zero‑trust, observability, and cloud-managed IT (Meraki) plus Webex. Its business model mixes hardware, software subscriptions, and support/consulting services. Founded in 1984 and headquartered in San Jose, California, Cisco is a public company traded on Nasdaq and serves customers across data centers, campuses, and service provider networks.