Capco

AI Engineer

Singapore · Work style not stated

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerCapco
LocationSingapore
Work styleWork style not stated
Employer posted9 days ago

Capco

Capco is a leading global technology and management consultancy that excels in driving digital transformation within the financial services and insurance sectors. With an unwavering commitment to delivering practical solutions, we empower our clients to navigate the complexities of today's fast-paced market. Our integrated services span across major financial hubs worldwide, ensuring that we are always close to our clients and their needs.

At Capco, we possess not only the expertise but also the vision and passion necessary to lead transformative change. As we embark on an exciting growth journey, this is the perfect moment to join our team. We are expanding geographically, increasing our workforce, and poised to disrupt the consulting landscape across APAC with our entrepreneurial spirit and agile methodologies.

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.

Show full description

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 forLLM, RAG, search, agent-basedand 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.

ELIGIBILITY TO WORK IN SG

Applicants must have unrestricted working rights in Singapore. Only Singapore Citizens and Singapore Permanent Residents (PRs) will be considered. Employment Pass sponsorship is not available for this role.

See how well you match this job Apply on the employer’s site ↗

Check your resume against this job Free, no sign-up. Nothing you paste is stored.

Staying safe while you apply

Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
Prepare honestly.
Build interview stories and application drafts from your own evidence.
Keep track.
Save the role and record your own application status and follow-ups.

Create a free workspace or log in.