Netskope: AI Agent Developer — Taguig, Taguig, Philippines

About Netskope

Netskope develops security and networking technology for cloud, data and AI environments. Its employer introduction identifies the Netskope One platform, a zero-trust engine and the NewEdge network as parts of that offering. The business describes giving organisations visibility and control while maintaining the performance of access to applications and information. This connects cybersecurity with networking: the products address both how digital resources are reached and how their use is controlled and protected.

The position and its setting

Netskope lists AI Agent Developer in Taguig, Taguig, Philippines, under reference 8078752. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Information Technology
• Employer listing date: 22 July 2026

Subjects named in the job description

The posting mentions the following work areas. These references are not a separate list of compulsory certifications.

• AWS
• MCP
• AI/ML
• LLMs
• ISO
• AI
• audit

Essential requirements and candidate background

• 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 doesn't 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 agent's 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 platform's tool gateway, so nothing an agent does falls outside what it's 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 1–2 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 you'd pick one over another for a given problem
• Knowledge: 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 isn't optional
• Enough AWS familiarity (Lambda, IAM roles, Bedrock) to understand how your agents actually run, even though infrastructure itself belongs to the Cloud Engineers
• 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 wasn't your main role
• Time spent in a regulated environment (SOX, SOC2, GDPR, ISO27001), where "it works" was never the whole bar

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Advertised location: Taguig, Taguig, Philippines

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another AI Agent Developer vacancy is not an offer for reference 8078752; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Netskope

Applications follow the official employer page linked below.

Open the official Netskope posting below and match the title and reference 8078752.

Compare your qualifications and experience with the essential conditions for the Taguig, Taguig, Philippines position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: AWS

For AWS experience, describe the workload and the services you actually configured or operated. Useful detail includes deployment, access controls, monitoring, recovery or cost decisions where those were your responsibility.

Relevant skills

• AWS
• MCP
• AI/ML
• LLMs
• ISO
• AI
• audit