ML/AI Engineer - Contract - Gov

NEXBRIDGE RECRUITMENT PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

NexBridge Recruitment PTE. LTD. is seeking a hands-on AI/ML Engineer to design and deploy agentic AI solutions.

You will build AI agents to detect fraud risks and integrate workflows with enterprise data platforms such as AWS Redshift, Glue and PySpark. The role emphasizes scalable APIs, robust testing, and responsible AI practices. You will work with data scientists, engineers and business stakeholders to translate requirements into production-ready AI capabilities, while maintaining

Qualifications

• Bachelor’s degree in CS/AI/Data Science or related field.
• 3–5 years hands-on AI/ML development and deployment, incl. at least one LLM-enabled system.
• Strong Python programming, API development, testing and version control.
• Experience with LangGraph, CrewAI or equivalent for agentic AI.
• Experience integrating AI with databases, APIs and enterprise data platforms.
• Knowledge of AI evaluation, testing, monitoring, security and Responsible AI practices.
• Strong analytical, problem-solving and communication skills.

Responsibilities

• Design and develop end-to-end agentic AI solutions.
• Build AI agents to identify fraud risks, assess data feasibility and propose indicators.
• Integrate AI workflows with data platforms including AWS Redshift, Glue and PySpark.
• Develop and deploy scalable AI applications and APIs beyond prototypes.
• Implement CI/CD, automated testing and deployment processes for AI components.
• Establish AI evaluation frameworks and safeguards covering quality and safety.
• Build monitoring dashboards and alerts to track performance and costs.
• Collaborate with data scientists, analysts, engineers and stakeholders to translate fraud needs into AI solutions.
• Maintain technical documentation and support knowledge transfer.

Skills

Python

Analytical thinking

Communication

Education

Degree in Computer Science/AI/Data Science/Software Engineering/IS

Tools

LangGraph

CrewAI

AWS Redshift

AWS Glue

PySpark

Databricks

CI/CD

Docker

MLflow

MLOps

Job description

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.