Location: Malaysia | Indonesia | Philippines | Vietnam | Thailand
About the Opportunity
A well-established global FinTech organisation is expanding its AI and Data Science capabilities across Asia and is seeking experienced Senior GenAI Machine Learning Engineers to help build the next generation of AI-powered products and solutions.
This role offers the opportunity to work on cutting-edge Generative AI initiatives, including Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Conversational AI, and enterprise AI applications. You will collaborate with data scientists, engineers, and product teams to design, develop, and deploy production-grade AI solutions that create measurable business impact.
The successful candidate will play a key role in shaping AI capabilities, influencing technology decisions, and driving innovation across multiple business functions.
Key Responsibilities
- Build and deploy Generative AI applications using LLMs and agentic AI frameworks
- Develop AI-powered solutions for customer engagement and business automation.
- Design and implement RAG and LLM-powered workflows.
- Fine-tune, evaluate, and optimize large language models.
- Build scalable APIs and AI backend services.
- Ensure AI quality, governance, security, and compliance.
- Collaborate with engineers, product teams, and business stakeholders.
- Drive adoption of AI across multiple business functions.
- Contribute to AI architecture and technology decisions.
- Stay current with emerging GenAI technologies and industry developments.
Key Requirements
- At least 6+ years of experience in Artificial Intelligence, Machine Learning, Data Science, or related disciplines.
- At least 3 years of hands-on experience building and deploying Generative AI, NLP, or Large Language Model (LLM) solutions.
- Experience working with Agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar technologies.
- Strong understanding of LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), LLM Evaluation Frameworks, Transformer-based architectures, AI Guardrails and Responsible AI Practices
- Strong Python programming skills with experience using machine learning frameworks such as PyTorch, Scikit-Learn, TensorFlow, or similar.
- Experience developing, deploying, and maintaining AI applications in cloud environments, preferably AWS.
- Exposure to MLOps, LLMOps, model deployment, monitoring, and production support practices.
- Experience with conversational AI, voice AI, or customer-facing AI solutions would be highly advantageous.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently while collaborating effectively within cross-functional and international teams.
Interested parties please send your resume to Valentina Zilinska, R1987165 at [email protected].
Regrettably, only shortlisted candidates will be contacted.