At a glance
- Experience
- 3-12 years experience
- Location
- Singapore
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.
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.
Requirements
- 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.
Skills
- Python
- Java
- React Next
- Node.js
- LangChain
- LangGraph
- ADK
- AWS
- Azure
- Google Cloud
- Git
- Spark
Show all 15 skills
- Hadoop
- Docker
- Kubernetes
