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LLM Engineer

MoneyLion Malaysia Sdn Bhd
Kuala Lumpur ₹7K-10K LPA Posted 7 Apr 2025
FULL TIME
containerization
Machine Learning
Distributed Systems

Job Description

About the Position

The Kuala Lumpur office serves as the technological hub for MoneyLion. We take pride in our innovative endeavors and thrive in a dynamic and demanding environment. Become a part of our diverse team of forward-thinkers and industry disruptors aiming to transform the conventional finance sector!

We are in search of an LLM Engineer to create and enhance AI models with a focus on large language models, driving our efforts to innovate and implement generative AI applications.

In the role of LLM Engineer, you will capitalize on Large Language Models (LLMs) and cutting-edge methodologies to address Generative AI (GenAI) use cases. Your contributions will be vital in deploying, fine-tuning, and scaling GenAI applications to ensure optimal performance and reliability within a production setting. This position allows for close collaboration with Applied Scientists, Data Scientists, and Product teams to realize and scale advanced GenAI solutions to handle increasing demands.

This article outlines our vision for the future structure of our LLM Application Stack, a key responsibility for this role in terms of integration and continuous improvement.

Main Responsibilities

  • Design, implement, and sustain a robust, efficient, and scalable GenAI application infrastructure
  • Deploy LLMs and other Machine Learning models into a production environment, ensuring high performance and availability
  • Create and manage caching layers to enhance the efficiency of GenAI applications
  • Establish monitoring and logging systems to oversee model performance and system health
  • Partner with Data Scientists to incorporate models into current systems and workflows
  • Enhance model inference times and resource usage for effective large-scale data management
  • Apply best practices in Software Engineering, including testing, CI/CD, and clean coding principles, to Machine Learning initiatives
  • Collaborate with cross-functional teams to comprehend business needs and translate them into technical solutions
  • Diagnose and resolve challenges related to model deployment and system integration
  • Stay informed on the latest developments in GenAI, machine learning infrastructure, and distributed systems

Your Profile

  • Strong foundation in software engineering with a specialization in machine learning infrastructure
  • Experience in deploying, scaling, and optimizing Machine Learning models in a production context
  • Comprehensive understanding of distributed systems, microservices architecture, and cloud platforms (e.g., AWS, GCP, Azure)
  • Practical experience with containerization tools like Docker and orchestration platforms like Kubernetes
  • Proficient in Python, with knowledge of additional programming languages such as Java, C++, or Go being advantageous
  • Well-versed in CI/CD pipelines, coding best practices, version control systems, and DevOps methodologies
  • Acquainted with GenAI technologies and frameworks, with a strong interest in their evolution and application
  • Exceptional problem-solving abilities and the capacity to independently manage projects from inception to completion
  • Strong verbal and written communication skills for effective collaboration with cross-functional teams and stakeholders
  • Possess a growth mindset, always seeking to refine processes and systems for improvement
  • Able to manage the entire project lifecycle from ideation to execution with minimal supervision

Next Steps...

Upon submitting your application, you can anticipate the following stages in the selection process:

  1. Online Technical Assessment
  2. Take-Home Project
  3. Interview & Discussion of Take-Home Project - Hiring Manager (Virtual or in-person)

If you have previously applied for this position and were not selected, please feel free to re-apply after 6 months.


Our Values

We prioritize growth-oriented and collaborative individuals who possess high learning agility and embody our core principles of teamwork, customer-centricity, and innovation. Each member of the MoneyLion team is passionate about financial technology and committed to fully supporting our mission.

MoneyLion is dedicated to promoting equal employment opportunities for all staff. Within our organization, every employment decision is based on merit, competence, and performance, devoid of any discrimination. We aim to build a team that reflects a spectrum of backgrounds, perspectives, and skills. Within this team, everyone should feel equally valued. We recognize the full potential of diversity and encourage you to bring your authentic self to work each day.

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