AI Engineer | Insurance

Capco
Hong Kong
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3-12 yearsSkills: ["Problem-solving","Collaboration"]

Build and deploy production-grade AI applications for banking and financial services. You’ll develop multi-agent workflows, create Python-based data and model pipelines, and train or fine-tune neural networks including LLMs for use cases like risk assessment and customer query resolution. Collaborate with data scientists, engineers, and business stakeholders to deliver compliant, ethical solutions, then monitor in production and improve through troubleshooting, updates, code reviews, and CI/CD.

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FursaFursa
Capco
Capco
1 month ago

AI Engineer | Insurance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Build and deploy production-grade AI applications for banking and financial services. You’ll develop multi-agent workflows, create Python-based data and model pipelines, and train or fine-tune neural networks including LLMs for use cases like risk assessment and customer query resolution. Collaborate with data scientists, engineers, and business stakeholders to deliver compliant, ethical solutions, then monitor in production and improve through troubleshooting, updates, code reviews, and CI/CD.
Location: Hong Kong
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build multi-agent workflows to optimize business processes in banking and financial services.
  • •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 use cases like 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 comply with banking regulations, data privacy standards (GDPR, CCPA), ethical AI practices, and monitor deployed solutions in production.

Key Requirements

  • •3–12 years of professional experience in AI/ML engineering focused on software development and deployment.
  • •Strong software engineering experience with Python, Java, React Next, and Node.js.
  • •Hands-on experience training and fine-tuning neural networks, with a focus on performance and scalability.
  • •Proven expertise with LLMs (e.g., 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.
Experience:3-12 yearsAI/MLFinancial services
Skills:Problem-solvingCollaboration
Languages:English
Tech Stack:PythonJavaReact NextNode.jsLLMsRAGGPTBERTLangChainLangGraphADKAWSAzureGoogle CloudGitCI/CDGDPRCCPA

Company Brief

Capco
Global management and technology consultancy specializing in financial services. Capco advises banks, insurers, and capital markets firms on digital transformation, risk and compliance, technology implementation, and operational improvement, combining industry expertise with advisory and engineering capabilities.
Industry: Management Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: London, United Kingdom
Founded: 1998
Glassdoor
Glassdoor: 3.7
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