Senior AI Engineer
Build AI agents and reliable platforms that solve engineering problems across networking architecture. The role covers agent development, cloud services, evaluation systems, and responsible adoption of agentic workflows.
Responsibilities
- Build and deploy AI agents that solve engineering problems across the networking stack.
- Design typed tool interfaces, cloud services, and supporting systems for reliable AI agents.
- Identify high-impact AI use cases with networking architecture teams and deliver working solutions.
- Establish best practices, guardrails, and evaluation methods for responsible AI adoption.
- Build evaluation pipelines to measure and improve agent behavior on production workloads.
Requirements
- Bachelor’s degree in computer science or a related field, or equivalent experience.
- At least 5 years of practical software development experience, including work on a large-scale software product.
- Demonstrated advanced use of AI and agentic workflows in daily engineering work.
- Ability to learn quickly and work across codebases, technical domains, and teams.
- Strong ownership and communication skills.
Nice to have
- Cloud-native development with containers, Kubernetes, or CI/CD pipelines.
- Experience with computer networking or high-performance computing.
- Advanced practical use of AI and agentic workflows beyond standard coding assistants.