About the Role
We are thrilled to introduce an opportunity for a talented AI Engineer to join our Singapore team. This role is designed for a technology innovator who thrives on solving complex challenges and is passionate about building AI-driven solutions that transform the Financial Services industry. As an AI Engineer at Capco, you will play a pivotal role in shaping the future of insurance by leveraging cutting-edge AI technologies to deliver intelligent, scalable, and compliant solutions. Your work will enable our clients to unlock new efficiencies, enhance customer experience, and stay ahead in a rapidly evolving digital landscape. If you are excited about applying advanced AI techniques to real-world business problems and driving measurable impact, we want you on our team.
Key Responsibilities
Build multi-agent workflows to optimize business processes within insurance.
Develop and maintain software pipelines for data processing, model training, and deployment using Python-based frameworks.
Train, fine-tune, and optimize neural network models, including LLMs, for specific use cases such as risk assessment and customer query resolution.
Collaborate with data scientists, engineers, and business stakeholders to translate requirements into production-ready AI applications.
Ensure AI models adhere to banking regulations, data privacy standards (e.g., GDPR, CCPA), and ethical AI practices.
Monitor deployed solutions in production, troubleshooting issues, and implement updates as needed.
Strong experience delivering production-grade applications, backend services and technical components that support data, workflow, automation or AI-driven solutions.
Participate in code reviews, agile ceremonies, and CI/CD processes.
Experience and Qualifications
3–12 years of professional experience in
AI/ML engineering
, with a focus on software development and deployment.
Build and integrate components for
LLM, RAG, search, agent-based
and automation solutions,
Strong software engineering experience with
Python, Java, React Next, Node.js
Hands-on experience training and fine-tuning neural network models, with a track record of optimizing for performance and scalability.
Proven expertise working with LLMs (e.g., GPT, BERT
)
and building agentic solutions using frameworks like
LangChain, LangGraph,
or ADK.
Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for model deployment and data management.
Solid understanding of machine learning concepts, including supervised/unsupervised learning, evaluation metrics, and bias mitigation.
Experience with version control systems (e.g., Git) and agile methodologies.
Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
Preferred Qualifications
Experience in financial services domains
Familiarity with big data tools (e.g., Spark, Hadoop) and databases (SQL/NoSQL).
Knowledge of graph databases and knowledge graphs.
Understanding DevOps practices, containerization (Docker, Kubernetes), and MLOps workflows.
Publications, open-source contributions, or certifications in AI/ML.
Strong communication skills for presenting technical concepts to non-technical stakeholders.
CAPCO CONSULTING SINGAPORE PTE. LTD.
Capco, a global business and technology consultancy dedicated solely to the financial services industry. Our professionals combine innovative thinking with our unrivalled first-hand industry knowledge to offer our clients consulting expertise, complex technology and package integration, and managed services to move their organizations forward.
Through our collaborative and efficient approach, we help our clients successfully increase revenue, manage risk and regulatory change, reduce costs and enhance control. We specialize in banking; capital markets; wealth and investment management; finance, risk & compliance; and technology.