Cyber AI Software / Data Engineer

CGP Personnel
About the job
Salary & Benefits:
- Up to $9,000.00 per month
- Comprehensive insurance coverage
- Issued e-Medical Card upon 3 months of service
- Tele-consult available upon 3 months of service
- 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
- AI-driven 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.
- Bachelor’s degree (or higher) in Computer Science, Data Science, Machine Learning, or related field.
- 2-3 years’ hands-on experience in:
- Python, LangChain, NLP, and Computer Vision.
- Building and deploying AI/LLM-powered applications and agentic workflows.
- Vector database technologies (e.g., Pinecone, PGVector, FAISS).
- CI/CD best practices and 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 datawarehousing technologies (such as Amazon Redshift or Google BiqQuery) to manage large data sets will be an advantage.
- Experience in open-source automation frameworks (such as Flowise) is a plus.
- Proficiency in English.
- Python programming
- LangChain
- Natural Language Processing (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 or Google Vertex AI)
- Data warehousing (Amazon Redshift or BigQuery)
- Data pipeline development
- Dashboard development (Tableau or equivalent)
- Open-source automation frameworks (Flowise)
Due to an anticipated high volume of applicants, we regret that only shortlisted candidates will be notified. The information provided is for recruitment purposes only.
Know someone who would be a great fit for this role? Refer them to us and get rewarded.
Cornerstone Global Partners (EA Licence Number: 19C9859) is an affirmative equal-opportunity employer and recruitment firm. We evaluate qualified applicants without regard to race, colour, religion, creed, gender, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class
EA Registration Number: R22104742
Cornerstone Global Partners Pte Ltd (EA License: 19C9859)
JO ID: #7609