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AI Security Developer (Python)

Summary

Build and secure enterprise AI/LLM apps in Python, integrating with cloud platforms and CI/CD while mitigating risks like prompt injection.

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

See also