AI Agent Developer

Netskope


Job Location:

Taguig - Philippines

Monthly Salary: Not Disclosed
Posted on: 9 hours ago
Vacancies: 1 Vacancy

Job Summary

About Netskope

Today theres more data and users outside the enterprise than inside causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed one that is built in the cloud and follows and protects data wherever it goes so we started Netskope to redefine Cloud Network and Data Security.

Since 2012 we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara St. Louis Bangalore London Paris Melbourne Taipei and Tokyo. Our core values are openness honesty and transparency and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships collaboration and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON) we strive to keep work fun supportive and interactive.Visit us atNetskope Careers. Please follow us on LinkedIn and Twitter@Netskope.

Moving AI agents from a playground demo to production requires serious software engineering discipline. We are looking for an AI Agent Engineer who knows how to build scalable secure and fully auditable agentic systems.

In this role you wont just tweak prompts until they feel right. You will build spec-driven orchestrator and sub-agent architectures manage sensitive data classifications integrate tool gateways and establish comprehensive test cases. Youll work closely with Product Security and Cloud Architecture to ensure every agent operates strictly within its designated guardrails and risk tiers.

Skills and Competencies:

  • Write full agent specifications purpose capabilities input/output contracts guardrails and tool boundaries to the same level of rigor a safety-critical system would get not a quick README.
  • Design and build orchestrator agents that hand work off to specialized sub-agents and hold the line on a simple rule: the orchestrator coordinates it doesnt do the work itself.
  • Write and test system prompts and design tool schemas that stay accurate even when an agent has to choose between fifteen or twenty different tools not just three.
  • Work with the Data Steward to classify how sensitive each agents data is and with the Product Owner/Architect to set its risk tier before anything goes up for registration.
  • For each capability an agent has decide whether it should be deterministic logic or model judgment and build test cases that prove it actually meets that bar.
  • Build every agent against the platforms tool gateway so nothing an agent does falls outside what its registered and approved to touch.
  • Design for scale from day one sessions that stay isolated from each other failures that are predictable and no assumptions that only hold up in a single test run.
  • Prepare the evidence a reviewer needs before approving an agent for production: test results guardrail coverage and behavioral results laid out clearly enough that someone outside your head can follow the reasoning.
Must-Have:
  • At least 4 years building production software with 12 of those years specifically spent building LLM-powered agents not chatbots not RAG pipelines agents that make tool-use decisions on their own.
  • Real hands-on time with at least one agent orchestration framework LangGraph Bedrock AgentCore CrewAI AutoGen or similar enough to explain why youd pick one over another for a given problem.
  • Working knowledge of the Model Context Protocol: building or integrating MCP servers and clients and understanding where tool-selection tends to break down.
  • A real prompt engineering practice versioning changes testing them against a set of cases before shipping not just iterating in a playground until it feels right.
  • Comfort writing precise specs: boundaries failure modes test criteria. This team documents everything and peer-reviews it so this isnt optional.
  • Enough AWS familiarity (Lambda IAM roles Bedrock) to understand how your agents actually run even though infrastructure itself belongs to the Cloud Engineers.
Strong Advantage:
  • Experience designing systems where one agent does something and a different agent checks it separation of duties built into the architecture not just documented afterward.
  • Any exposure to red-teaming or adversarial testing of AI systems even if it wasnt your main role.
  • Time spent in a regulated environment (SOX SOC2 GDPR ISO27001) where it works was never the whole bar.
  • Some familiarity with how agent memory works short-term session memory versus something more durable and what each choice costs you in auditability.

#LI-CV1

Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion race color sex marital or veteran statues age national origin ancestry physical or mental disability medical condition sexual orientation gender identity/expression genetic information pregnancy (including childbirth lactation and related medical conditions) or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.

Netskope respects your privacy and is committed to protecting the personal information you share with us please refer toNetskopes Privacy Policyfor more details.

The application window for this position is expected to close within 50 days. You may apply by filling out the below information or visiting ourNetskope Careers site.


Required Experience:

Unclear Seniority

About NetskopeToday theres more data and users outside the enterprise than inside causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed one that is built in the cloud and follows and protects data wherever it goes so we started Netskope to redefine Cloud Net...

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Netskope, a global cybersecurity leader, is redefining cloud, data, and network security to help organizations apply zero trust principles to protect data.

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