AI & ML Engineer | Banking

Capco; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Capco, a Wipro company, in Hong Kong, is seeking an AI & ML Engineer to build scalable AI solutions that deliver business value. You’ll collaborate with product owners, data scientists and engineers to prototype, build and deploy AI-powered applications.

The role focuses on Generative AI, LLMs, RAG and Agentic AI, with emphasis on responsible AI, governance, and production-ready practices. You’ll improve delivery speed, performance and security while embedding human oversight.

Qualifications

• Practical experience delivering AI/ML solutions in production.
• Hands-on Python programming with production-grade apps.
• Strong knowledge of LLMs, Generative AI, RAG and Agentic AI.
• Experience with cloud platforms and AI security/regulatory concerns.
• Collaborative with stakeholders and cross-functional teams.

Responsibilities

• Design, prototype and deploy scalable AI solutions.
• Develop AI workflows including LLMs, RAG, and agentic AI.
• Optimize models for accuracy and cost.
• Embed responsible AI with governance and monitoring.
• Partner with business teams to translate requirements into solutions.

Skills

AI & ML engineering

Python

LLMs / Generative AI

Cloud platforms

MLOps / CI/CD

Tools

LangChain

LangGraph

Docker

Kubernetes

Job description

Location: Hong Kong | Practice Area: Technology & Engineering | Type: Permanent

The Role

At Capco, a Wipro company, we're transforming financial services through technology, innovation and deep industry expertise. We work with leading financial institutions to solve complex challenges and deliver meaningful change.

We're looking for an AI & ML Engineer to join our Hong Kong team, developing innovative, scalable AI solutions that deliver real business value.

You’ll work closely with business stakeholders, product owners and engineering teams to prototype, build and deploy AI-powered applications. This hands‑on role focuses on AI, including Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI and advanced machine learning.

You’ll also champion responsible AI‑enabled engineering practices, using approved AI tools, human oversight and robust evaluation frameworks to deliver secure, reliable and production‑ready solutions.

What You’ll Do

• Design & Deliver AI Solutions: Develop, prototype and deploy scalable AI and machine learning applications that address real business challenges, using approved AI‑enabled workflows to improve delivery speed and quality.
• Build Intelligent AI Applications: Develop AI solutions, including LLMs, RAG and Agentic AI workflows, incorporating prompt engineering, retrieval optimisation, tool integration and automation.
• Optimise AI Performance: Select, develop and fine‑tune machine learning models to improve accuracy, efficiency, performance and cost‑effectiveness.
• Embed Responsible AI: Build evaluation frameworks, guardrails and monitoring capabilities to manage AI reliability, hallucinations, security and data privacy, incorporating human‑in‑the‑loop review, auditability and appropriate escalation pathways.
• Collaborate & Scale: Partner with business, product, data science and engineering teams to translate requirements into practical solutions, supporting deployment, MLOps, continuous improvement and reusable AI components.

What We’re Looking For

• AI & Engineering Experience: Relevant experience in AI/ML engineering, software engineering or related technical roles, with practical experience delivering AI‑powered solutions.
• Python & Software Development: Hands‑on Python programming expertise, supported by sound software engineering principles and experience building production‑grade applications, APIs and AI/ML pipelines.
• Applied AI Expertise: Practical experience with LLMs, Generative AI, RAG and Agentic AI frameworks such as LangChain or LangGraph, alongside knowledge of machine learning, model selection, fine‑tuning and evaluation.
• Cloud & Responsible AI: Familiarity with AWS, Azure or Google Cloud, alongside an understanding of AI security, data privacy, responsible AI and production deployment practices, including appropriate human oversight and model validation.
• Collaboration & Problem‑Solving: Effective communication, analytical thinking and stakeholder engagement skills, with a willingness to explore approved AI tools and emerging techniques to improve engineering outcomes.

Bonus Points For

• Experience delivering AI and machine learning solutions within banking, financial services or other regulated environments.
• Familiarity with MLOps, CI/CD, Docker, Kubernetes and model monitoring.
• Knowledge of advanced AI techniques, including natural language processing, deep learning, graph machine learning or multimodal AI.
• Experience developing AI evaluation frameworks, performance optimisation approaches and reusable engineering components.
• Exposure to AI governance, automated evaluation, human‑in‑the‑loop controls and responsible deployment of Agentic AI solutions.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions.
• Work in a collaborative, flat, and entrepreneurial consulting culture.
• Access continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Help shape the future of digital transformation across FS & Energy.

Inclusion at Capco

We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we'll be happy to help.

We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.