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Open nowPosted 4 days ago

Senior AI Engineer - Banking

Workable (global search)108,016 open roles

Where
Singapore
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Your applicationOpen nowSenior AI Engineer - BankingWorkable (global search) · Singapore

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 4 days ago

Workable (global search) median: 7 days open

The posting

About The Role

We are seeking an experienced Senior AI Engineer to join our team and drive the development of scalable, production-grade AI solutions. The ideal candidate will combine deep expertise in artificial intelligence and machine learning with strong software engineering fundamentals, particularly in microservices architecture and multi-language development.

Responsibilities

AI/ML Development

  • Design, develop, and deploy machine learning models and AI solutions that solve complex business problems.
  • Build and implement agentic AI systems with autonomous decision-making, reasoning, and task execution capabilities
  • Develop multi-agent systems that use tools, planning, and memory.
  • Build and optimise large-scale ML pipelines for training, evaluation, and inference.
  • Implement state-of-the-art algorithms in areas such as natural language processing, computer vision, recommendation systems, or predictive analytics
  • Conduct experiments, perform model evaluation, and iterate on ML solutions to improve performance.
  • Stay current with the latest AI/ML research and identify opportunities to apply emerging techniques.

Software Engineering & Architecture

  • Design and implement robust microservices architectures for AI/ML applications
  • Build scalable, maintainable, and well-documented code across multiple programming languages.
  • Develop RESTful APIs and event-driven systems to integrate AI capabilities into broader platforms
  • Ensure high availability, fault tolerance, and performance optimisation of AI services.
  • Implement CI/CD pipelines for automated testing and deployment of ML models.

Technical Leadership

  • Mentor junior engineers and data scientists on best practices in AI engineering and software development
  • Lead technical design discussions and contribute to architectural decisions.
  • Collaborate with cross-functional teams, including product managers, data scientists, and platform engineers.
  • Conduct code reviews and promote engineering excellence across the team
  • Drive technical innovation and champion the adoption of new tools and methodologies

Required Qualifications

Technical Skills

  • AI/ML Expertise – 5+ years of experience developing and deploying machine learning models in production environments
  • Agentic AI – Experience building autonomous AI agents with capabilities including tool use, reasoning, planning, and multi-step task execution
  • Programming Languages – Advanced proficiency in at least Python and Java.
  • Experience with Deep learning frameworks (TensorFlow, PyTorch), data processing (pandas, NumPy), ML libraries (scikit-learn), etc.
  • Experience with Spring Boot, microservices frameworks, and concurrent programming.
  • Microservices Architecture – 5+ years of hands-on experience designing and implementing microservices-based systems
  • ML Operations – Experience with MLOps practices, model versioning, monitoring, and deployment strategies
  • Cloud Platforms – Proficiency with AWS, GCP, or Azure ML services and infrastructure

Additional Technical Requirements

  • Strong understanding of distributed systems, message queues (Kafka, etc.), and event-driven architectures
  • Experience with containerization (Docker) and orchestration (Kubernetes)
  • Knowledge of database systems (SQL and NoSQL) and data engineering concepts
  • Familiarity with API design principles and RESTful services
  • Experience with version control (Git) and collaborative development workflows

Experience

  • Bachelor's or master’s degree in computer science, Engineering, Mathematics, or a related field (or equivalent experience).
  • Proven track record of delivering complex AI projects from conception to production
  • Strong problem-solving abilities and analytical thinking
  • Excellent communication skills with the ability to explain complex technical concepts to diverse audiences
  • Experience working in agile development environments
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