Toa Payoh - Cyber AI Software / Data Engineer
Cyber AI Software / Data Engineer
Contract Duration: 2025 - 2027Location: Pasir Panjang
Role Overview
We are seeking Cyber AI Software / Data Engineers to strengthen cybersecurity capabilities using state-of-the-art Machine Learning (ML) and AI technologies, including Large Language Models (LLMs) and frameworks like LangChain. The role involves building AI-powered workflows, maintaining data pipelines, and deploying secure, scalable AI solutions to enhance cyber defense operations.
Key Responsibilities- Develop and maintain data pipelines on cloud platforms to ingest, transform, and integrate data for cybersecurity applications.
- Build interactive dashboards (e.g., Tableau) for monitoring and reporting security analytics.
- Integrate LLM APIs via LangChain and leverage Cloud AI services to enhance AI-driven agent capabilities.
- Design, deploy, and manage vector databases (e.g., Pinecone, PGVector, FAISS) for AI search and retrieval tasks.
- Build agentic workflows using LangChain and open-source frameworks (e.g., Flowise) to automate complex cyber operations.
- Implement human-in-the-loop approval processes for critical decision-making.
- Orchestrate agent-to-agent workflows for autonomous AI collaboration in security environments.
- Apply prompt engineering best practices to optimize LLM performance for cybersecurity applications.
- Implement and maintain CI/CD pipelines for continuous integration, deployment, and testing of AI solutions.
- Drive end-to-end solutions from experimentation to production for SOC automation, detection, and human-in-the-loop processes.
- Collaborate with cross-functional teams to deliver secure, scalable, and impactful AI solutions.
Required Skills & Qualifications
Education:
- Bachelor’s degree or higher in Computer Science, Data Science, Machine Learning, or related field
Experience:
- 2–3 years’ hands-on experience with Python, LangChain, NLP, and Computer Vision
- Building and deploying AI/LLM-powered applications and agentic workflows
- Vector database technologies (Pinecone, PGVector, FAISS)
- CI/CD best practices and tools (preferably Git)
- Cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
- Cloud AI services (AWS Sagemaker/Bedrock or Google Vertex AI)
- Experience with data warehousing technologies (Amazon Redshift, Google BigQuery) is a plus
- Familiarity with open-source automation frameworks (Flowise) is a plus
Technical Skills:
- Python programming, LangChain, NLP, Computer Vision
- Vector databases: Pinecone, PGVector, FAISS
- CI/CD tools with Git
- Cloud platforms: AWS, Azure, or GCP
- Containerisation: Docker, Kubernetes
- Cloud AI services: AWS Sagemaker/Bedrock, Google Vertex AI
- Data warehousing: Amazon Redshift or BigQuery
- Data pipeline development
- Dashboard development: Tableau or equivalent
- Open-source automation frameworks (Flowise)
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Rain Lee Xin YuDynamic Human Capital Pte Ltd
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