Job Description
Working Hours: Monday – Thursday (8.30am – 6pm), Friday (8.30am – 5.30pm) (Hybrid working arrangement)
Working Location: South
Salary Package: Up to $7.5k
Employment Type: Contract
As an AI Software Engineer, you will drive the adoption of state-of-the-art (SOTA) Machine Learning (ML) and Artificial Intelligence (AI) technologies to strengthen the cyber defence.
Responsibilities:
- Develop and maintain data pipelines on cloud platforms to ingest, transform, and integrate data from multiple sources for cybersecurity applications.
- Design and implement interactive dashboards (e.g., Tableau or equivalent) for monitoring, visualization, and reporting on security analytics.
- Integrate LLM APIs via LangChain and leverage cloud AI services to enhance agent-driven capabilities within security workflows.
- Design, deploy, and manage vector databases (e.g., Pinecone, PGVector, FAISS) to support semantic search and retrieval in AI-powered solutions.
- Build agentic workflows using LangChain and open-source tools (e.g., Flowise) to automate complex cyber operations.
- Implement human-in-the-loop approval processes to ensure critical cybersecurity decisions undergo proper review and authorization.
- Orchestrate agent-to-agent workflows to enable autonomous collaboration between AI agents within the cyber defense ecosystem.
- Apply prompt engineering best practices to optimize LLM performance for security-focused use cases.
- Implement and maintain CI/CD pipelines (e.g., Git) for continuous integration, deployment, and testing of AI solutions.
- Drive end-to-end solution delivery—from experimentation to production—for SOC (Security Operations Center) automation, threat detection, and human-in-the-loop processes.
- Collaborate with cross-functional cybersecurity, engineering, and operations teams to ensure delivery of secure, scalable, and impactful AI solutions.
Requirements:
- Bachelor’s degree (or higher) in Computer Science, Data Science, Machine Learning, or related field.
- Minimum 3 years of working experience with Large Language Models (LLMs), LangChain, or equivalent AI frameworks.
- Strong proficiency in Python and experience with machine learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
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Wong Siew Ting (Maeve) - R25127375
ScienTec Consulting Pte Ltd - 11C5781