OpenAIRemote · Singapore1h ago
CiscoPosted 1w ago
Software Engineer, Agentic Systems Engineering - ThousandEyes at Cisco scores 69 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network—even those they don’t own. Powered by AI and an unmatched set of cloud, internet, and enterprise network telemetry, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues before they affect end-user experiences.
ThousandEyes is deeply integrated across the Cisco technology portfolio and beyond, delivering AI-powered assurance insights within Cisco’s Networking, Security, Collaboration, and Observability products.
Our team develops internal AI-powered tools that help software engineers work more effectively across the development lifecycle. We build agentic workflows, reusable skills, integrations, and supporting platforms that make it easier for developers to understand complex codebases, implement changes, improve quality, and automate repetitive engineering tasks.
We are a collaborative, product-minded engineering team working at the intersection of software development, developer experience, and applied AI. You will have the opportunity to experiment with emerging technologies, learn from real-world usage, and turn promising ideas into reliable tools used by engineering teams across the organization.
Your ImpactAs a Software Engineer you will:
Design, build, test, and operate AI-powered tools and services for software developers.
Develop agentic workflows, reusable skills, tool integrations, and orchestration capabilities.
Integrate AI tools with source control, CI/CD systems, issue trackers, documentation platforms, and internal developer environments.
Build backend services and APIs that are secure, observable, reliable, and easy to maintain.
Apply software engineering practices to manage the non-deterministic nature of AI systems, including evaluation, testing, monitoring, and feedback loops.
Work directly with developers to understand their workflows, identify opportunities for improvement, and iterate based on real-world feedback.
Contribute to technical design discussions and help evolve the architecture of our AI development platform.
Improve engineering processes, documentation, and operational practices across the team.
Software development experience using Python.
Experience designing, building, testing, and operating backend services or developer-facing tools.
Hands-on experience designing and implementing APIs within distributed software architecturs.
Practical experience using or developing with large language models, AI coding tools, or agentic AI systems.
Experience working with Git, automated testing, and continuous integration and delivery workflows.
Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
Strong problem-solving and communication skills, with the ability to collaborate effectively in a cross-functional team.
Experience developing AI agents, reusable skills, tool-calling integrations, prompts, evaluation frameworks, or agent harnesses.
Familiarity with retrieval-augmented generation, embeddings, context management, and model evaluation.
Experience building internal developer platforms, command-line tools, IDE integrations, or engineering productivity tooling.
Knowledge of Kotlin, Java, Go or TypeScript.
Understanding of Kubernetes, containers, and modern cloud deployment practices.
Experience with observability, security, privacy, and responsible AI practices.
Familiarity with relational, document-based, or vector datastores.
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you decide that one model's output is better than another's for a given task?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Rag, AI Agents, AI Evaluation, and AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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