VP1 Senior GenAI Engineer, GMET

About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

Job Description

We are looking for a Senior GenAI Application Engineer who operates effectively at the intersection of software engineering, GenAI application development, enterprise integration and production delivery.

This is not a pure research role. It is not a prompt-engineering-only role. The successful candidate will help design, build and improve production-grade GenAI applications that are reliable, observable, maintainable and useful to real enterprise users.

The successful candidate will:

• Build and improve GenAI applications using frameworks such as LangGraph, LangChain or similar orchestration tools.
• Work with open-weight models, hosted LLMs and model-serving patterns.
• Develop agentic workflows, retrieval-augmented generation, tool calling and prompt orchestration.
• Integrate GenAI applications with enterprise systems, APIs, data sources and operational platforms.
• Engineer solutions for production quality, including logging, tracing, evaluation, fallback behaviour and troubleshooting.
• Bring a strong can-do attitude, enthusiasm, curiosity and practical delivery mindset.
• Finance or banking experience is not required. What matters more is hands-on experience building real GenAI applications, strong engineering judgement and the ability to deliver in a complex enterprise environment.

WHAT MATTERS MOST

• Strong hands-on experience building production-grade GenAI applications.
• Practical experience with LangGraph, LangChain, agentic workflows, RAG and tool calling.
• Understanding of open-weight models and how to integrate them into real applications.
• Ability to challenge weak designs and propose better ones.
• Strong engineering discipline around reliability, testing, observability and maintainability.
• Ability to work across application, data, platform, security and infrastructure teams.
• Enthusiastic, energetic and willing to get into the details.
• Pragmatic approach to delivery, not over-engineering and not hype-driven.

REQUIREMENTS

• Six or more years of software engineering experience, preferably with recent hands-on experience in GenAI application development.
• Proven experience building production-grade GenAI applications, not only prototypes, experiments or demos.
• Strong hands-on experience with LangGraph, LangChain or similar orchestration frameworks.
• Practical understanding of RAG, agentic workflows, tool calling, prompt orchestration and context management.
• Experience integrating LLMs into real applications using APIs, backend services and enterprise data sources.
• Experience with open-weight models or strong interest backed by hands-on experimentation.
• Strong backend engineering skills using Python, Java or similar languages.
• Good understanding of API design, distributed systems and production resilience patterns.
• Experience with observability, logging, tracing and troubleshooting for GenAI or backend applications.
• Familiarity with containerised deployment environments such as Kubernetes or OpenShift.
• Ability to write clean, maintainable and testable code.
• Strong analytical, debugging and troubleshooting skills.
• High ownership, high curiosity and genuine interest in building useful AI products.
• Ability to work in a fast-moving environment with incomplete information and evolving requirements.
• Strong communication skills, with the ability to challenge weak designs and coordinate across business, application, data, infrastructure and security teams.

NICE TO HAVE

• Experience with DeepAgent or similar agent frameworks.
• Experience with Langfuse, Elastic or similar observability and search tools.
• Experience with Redis for caching, conversation state, rate limiting, queue-backed workflows or low-latency GenAI application patterns.
• Experience with vLLM or similar inference-serving frameworks for running open-weight models.
• Experience deploying GenAI workloads on cloud or container platforms.

KEY DOMAIN/TECHNICAL SKILLS

• Production GenAI Application Engineering
• LangGraph, LangChain, RAG and Agentic Workflows
• Python, Java, APIs and Enterprise Integration

Additional Requirements

Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

Apply now and make a Difference