GXS Bank Logo

GXS Bank

GenAI Engineer

Posted 2 Days Ago
Be an Early Applicant
Singapore
Junior
Singapore
Junior
The GenAI Engineer at GXS Bank will develop and implement innovative Generative AI solutions, collaborate across departments to identify AI opportunities, construct scalable AI frameworks, and mentor junior colleagues while staying updated on AI advancements.
The summary above was generated by AI

Get to know our Team

Our Enterprise Technology Innovation and Automation Centre of Excellence (CoE) is committed to delivering innovative solutions that enhance both customer and employee experiences. Our team of technology professionals is dedicated to providing exceptional and individualised solutions to our customers and colleagues. We utilise cutting-edge technologies and methodologies to drive innovation and efficiency throughout the organisation. We foster a collaborative and inclusive environment that values diverse skill sets and perspectives. We are seeking like-minded individuals who share our customer-centric and innovative values to join our growing team

Get to know the Role

The GenAI Engineer plays an essential role in GXS Bank by leveraging Generative AI technology to create innovative and productive solutions. 

You are expected to:

  • Spearhead the development and implementation of cutting-edge Generative AI solutions to tackle real-world challenges, elevate GXS Bank's offerings, and transform employee experiences.

  • Collaborate across departments to pinpoint opportunities where Generative AI and machine learning can be applied for maximum impact.

  • Architect, construct, and launch scalable GenAI solutions utilising LLM frameworks like LangChain, LangGraph, LlamaIndex, or similar platforms.

  • Remain at the forefront of Generative AI and machine learning by conducting research and staying informed about the latest breakthroughs.

  • Fine-tune and enhance GenAI solutions to ensure optimal performance, scalability, and accuracy.

  • Offer technical guidance and mentorship to less experienced colleagues.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field

  • 2-5 years of experience in AI/ML development, with a focus on Generative AI

  • Proficiency in Python and experience with machine learning libraries (e.g. TensorFlow, PyTorch)

  • Understanding of modern LLM frameworks (e.g. LangChain, LangGraph, LlamaIndex)

  • Experience with cloud platforms (AWS or Azure) and deploying cloud applications

  • Strong knowledge of RESTful APIs and JSON data structures

  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment

  • Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders

 

Really nice to haves skills

  • Database/query knowledge (DynamoDB, MySQL, Presto, ElasticSearch)

  • Experience with natural language processing (NLP) and computer vision techniques

  • Familiarity with MLOps practices and tools for continuous integration and deployment of Cloud applications

Top Skills

Python

GXS Bank Singapore Office

Singapore, Singapore

Similar Jobs

16 Hours Ago
Hybrid
Singapore, SGP
Senior level
Senior level
Financial Services
As a Lead Infrastructure Engineer, you will enhance network performance, manage production incidents, change management, and collaborate with teams to innovate and troubleshoot complex issues within a global network. You will also leverage your technical acumen and problem-solving skills in a high-stakes environment.
Top Skills: Python
Yesterday
Hybrid
Singapore, SGP
Senior level
Senior level
Fintech • Mobile • Payments • Software • Financial Services
The Engineering Lead will manage the Platform Product Integrations team, focusing on designing and maintaining financial integrations, optimizing infrastructure, ensuring system performance in AWS, and leading a high-performing engineering group while collaborating on impactful projects.
Top Skills: Java
Yesterday
Hybrid
Singapore, SGP
Mid level
Mid level
Fintech • Mobile • Payments • Software • Financial Services
The Solutions Engineering Manager will oversee the performance and quality of their team, ensure successful partner solution delivery, and help improve internal processes and tooling. This role involves technical consulting, analyzing impacts on partners, and contributing to engineering goals while fostering a collaborative team environment.
Top Skills: Software

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account