jobs in KRISE MANNPOWER PTE. LTD.

全职 AI Security Developer (Python) 工作, 薪水 up to SGD 7,500, KRISE MANNPOWER PTE. LTD. Islandwide (Singapore) 公司招聘中 - Ricebowl

AI Security Developer (Python)

KRISE MANNPOWER PTE. LTD.

SGD7,500 - SGD7,500 每月

Islandwide (Singapore)

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工作地点

  • Islandwide (Singapore) Singapore

职位描述

岗位职责

Job Title: AI Security Developer (Python)

Location: Singapore
Work Arrangement: Hybrid
Monthly Salary: SGD 7,500 – 9,300

Job Description

We are seeking an experienced AI Security Developer to design, build, and secure enterprise AI and LLM-based applications. The successful candidate is expected to work independently and contribute from the outset in a fast-paced environment.

Key Responsibilities

  • Integrate AI security solutions with enterprise systems, including APIs, identity platforms, and CI/CD pipelines
  • Deploy, configure, and support LLM inference frameworks in cloud environments (e.g., Microsoft Azure)
  • Develop Python-based applications, APIs, automation scripts, and integration components
  • Enhance security across AI applications, AI agents, and enterprise platforms
  • Collaborate with cross-functional teams including security, infrastructure, and application development
  • Troubleshoot issues and support implementation of scalable and secure AI solutions

Requirements

  • Strong programming experience in Python
  • Hands-on experience in developing AI agents or LLM-based applications
  • Familiarity with agent development frameworks (e.g., LangGraph, OpenAI Agents SDK, Google ADK, or equivalent)
  • Understanding of LLM concepts, AI agents, and agentic workflows
  • Knowledge of AI/LLM security risks such as prompt injection and data exposure
  • Experience with APIs, microservices, Docker, Kubernetes, and CI/CD pipelines
  • Proficiency in Linux, Git, and observability tools (e.g., OpenTelemetry)

Preferred Qualifications

  • Experience securing AI or LLM applications in enterprise environments
  • Knowledge of authentication and authorisation protocols (OAuth, OIDC, SSO, RBAC, ABAC)
  • Familiarity with DevSecOps practices and threat modelling
  • Experience with cloud platforms (AWS, Azure, or Google Cloud)
  • Exposure to vector databases, retrieval-augmented generation (RAG), and embeddings
  • Knowledge of enterprise security tools such as SIEM, DLP, API gateways, and secrets management

Additional Information

  • Candidates should be able to work independently with minimal supervision
  • AI experience is advantageous but not mandatory
  • Only shortlisted candidates will be notified

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