We are looking for AI Software Engineer to join one of the government agencies in Singapore!

• Exciting opportunity to work with a team of professionals to deliver high quality application
• Great exposure in handling AI technologies - ML, LLMs, LangChain etc
• Salary up to $7,500
• Hybrid work arrangement

You will help drive the adoption of state-of-the-art (SOTA) Machine Learning (ML) and AI models—especially Large Language Models (LLMs) and frameworks like LangChain!

Responsibilities:

• Develop and maintain data pipelines on cloud platforms to ingest, transform, and integrate data from multiple sources for cybersecurity applications.
• Develop and maintain interactive dashboards (e.g. using visualisation tools such as Tableau or equivalent) for monitoring and reporting on security analytics.
• Integrate LLM API via LangChain and leverage Cloud AI services to enhance AIdriven agent capabilities within security workflows.
• Design, deploy, and manage vector databases (e.g., Pinecone, PGVector, FAISS) to support search and retrieval tasks in AI solutions.
• Build agentic workflows using LangChain and open-source tools (such as Flowise) to automate complex cyber operations.
• Implement human-in-the-loop approval processes to ensure critical decisions are reviewed and authorized appropriately.
• Orchestrate agent-to-agent workflows, enabling autonomous collaboration between AI agents within the security ecosystem.
• Apply prompt engineering best practices to optimize LLM (large language model) performance for cybersecurity applications.
• Implement and maintain CI/CD pipelines using Git 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 closely with cross-functional teams to deliver secure, scalable, and impactful AI solutions

Requirements:

• Min 3 years of experience in Python, LangChain, NLP.
• Experience in building and deploying AI/LLM-powered applications and agentic workflows.
• Experience in Vector database technologies (e.g., Pinecone, PGVector, FAISS) and CI/CD tools (preferably Git and related workflows).
• Hands-on experience in cloud platforms (AWS, Azure or GCP) is required, with knowledge on containerization (Docker, Kubernetes).
• Experience using Cloud AI services preferably AWS Sagemaker/Bedrock or Google Vertex AI.
• Familiarity using data warehousing technologies (such as Amazon Redshift or Google BiqQuery) to manage large data sets will be an advantage.

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Liew Chien Hui (Vivian) - R2090138
ScienTec Consulting Pte Ltd – 11C5781