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Engineer -
1 week ago
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.
- 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