VP1 Senior GenAI Engineer, GMET
United Overseas Bank Open · verified Oct 21, 2026 At a glance
Senior AI Engineering role at United Overseas Bank. Central Region · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and refine production GenAI applications with LangGraph, LangChain or comparable orchestration frameworks
- Create RAG and agent workflows that use tool calls, prompt coordination and context management
- Connect language models to enterprise APIs, backend services, data sources and operational platforms
- Make applications easier to run and support through logging, tracing, evaluation, fallbacks and troubleshooting
- Work with application, data, platform, security and infrastructure teams to deliver dependable solutions
What you bring
- At least six years in software engineering, ideally including recent hands-on GenAI application work
- You have delivered production GenAI applications, rather than limiting your work to demos or prototypes
- Hands-on use of LangGraph, LangChain or a comparable orchestration framework
- Practical knowledge of RAG, agent workflows, tool calling, prompt coordination and context management
- Backend coding ability in Python, Java or a comparable language, plus experience integrating LLMs with APIs and enterprise data
Who this fits
This role suits a hands-on engineer focused on production delivery rather than research or prompt engineering alone. You should be comfortable questioning weak designs, debugging complex systems and coordinating across technical teams while requirements evolve. Banking experience is not required.
From the employer
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.
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