The posting
Key Responsibilities
- Design and develop end-to-end agentic AI solutions using frameworks such as LangGraph, CrewAI or equivalent.
- Build AI agents to identify emerging fraud risks, assess data feasibility and recommend risk indicators and detection features.
- Integrate AI workflows with enterprise data platforms, including AWS Redshift, Glue and PySpark.
- Develop and deploy scalable, modular AI applications, APIs and workflows beyond the prototype stage.
- Implement CI/CD pipelines, automated testing and deployment processes for AI components.
- Establish AI evaluation frameworks and safeguards covering output quality, security, traceability, prompt injection and human approval.
- Build monitoring dashboards and alerts to track system performance, reliability, errors and operating costs.
- Collaborate with data scientists, analysts, engineers and business stakeholders to translate fraud detection requirements into AI solutions.
- Maintain technical documentation, operational guides and architecture records, and support knowledge transfer.
Requirements & Qualifications
- Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems or a related field.
- 3–5 years of hands-on experience developing and deploying AI/ML applications, including at least one LLM-enabled system delivered into operational use.
- Strong Python programming skills, including API development, software testing, version control and modular system design.
- Experience with LLM applications, tool integration, workflow orchestration or agentic AI frameworks such as LangGraph, CrewAI or equivalent.
- Experience integrating AI solutions with databases, APIs, enterprise data platforms or cloud services.
- Knowledge of AI evaluation, testing, monitoring, security and Responsible AI practices.
- Strong analytical, problem-solving and communication skills.
Preferred Skills
- Experience with AWS services such as Bedrock, Redshift, Glue, S3 or Lambda.
- Familiarity with PySpark, Databricks, CI/CD, Docker, MLflow or MLOps.
- Experience with RAG, knowledge retrieval, graph-based workflows or AI observability tools.
- Experience with fraud detection, risk analytics, compliance or investigation systems.
- Familiarity with Singapore Government technology environments, data governance and security requirements.
- Ability to work collaboratively with technical teams and business stakeholders.
Interested candidates are invited to apply via the “Apply Now” button.
We regret that only shortlisted candidates will be notified.
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Nexbridge Recruitment Pte Ltd|26C3616
EA Personnel: Guan Jiayi|R22109847



