AI Engineer

Capco (The Capital Market Company Group); Singapore; On-site; SGD 120,000 - 240,000; Full time

Job summary

Capco in Singapore is seeking an experienced AI Engineer to design and deliver AI-driven solutions for the financial services industry. You will build scalable models, pipelines, and intelligent applications that enhance risk assessment, customer queries, and operational efficiency.

Ideal candidates will have hands-on experience with LLMs, RAG, and agent-based systems, plus proficiency in Python, Java, React/Next, and cloud platforms.

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 with LLMs (GPT, BERT) and building agentic solutions using LangChain, LangGraph, or ADK.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for model deployment and data management.
• Solid understanding of ML concepts, including supervised/unsupervised learning, evaluation metrics, and bias mitigation.
• Experience with Git and Agile methodologies.

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 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.

Skills

AI/ML engineering

LLM & RAG

Software engineering

Python

Java

React/Next

Node.js

LangChain

LangGraph

ADK

AWS

Git

Agile

LLMs

Tools

Docker

Kubernetes

Job description

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 deliveringproduction-grade applications,backend servicesandtechnical componentsthat 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 inAI/ML engineering, with a focus on software development and deployment.
• Build and integrate components forLLM,RAG,search,agent-basedandautomationsolutions,
• Strong software engineering experience withPython, 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 likeLangChain, 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.