AI Application Developer

5 days ago

Singapore beBeeArtificial Full time

We are seeking an AI Software Engineer to join our team in Singapore.

  • Exciting opportunity to work with a team of professionals to deliver high-quality applications.
  • Great exposure in handling AI technologies - ML, LLMs, LangChain etc

Key Responsibilities:

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.

  • 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

Requirements:

To succeed in this role, you should have:

  • 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 datawarehousing technologies (such as Amazon Redshift or Google BigQuery) to manage large data sets will be an advantage.

About Our Opportunities:

This role offers exciting opportunities for professional growth and development. We provide a collaborative work environment where you can contribute your skills and expertise to deliver innovative AI solutions.

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