DevOps Engineer

CFI Financial Group; Selangor; On-site; MYR 80,000 - 120,000; Full time

Job summary

CFI Financial Group, an award-winning trading provider, seeks a skilled DevOps Engineer specializing in Large Language Models and Retrieval-Augmented Generation systems. This role involves deploying intelligent systems to enhance trading and compliance processes. Join a fast-growing multinational team, offering competitive salaries in a supportive environment with abundant growth opportunities.

Benefits

Competitive salaries and benefits

Work and learn with industry professionals

Supportive and collaborative environment

Unlimited opportunities for growth and development

Qualifications

• Minimum 3 years in MLOps or AI Infrastructure roles.
• Solid experience with LLM deployment and RAG pipelines in fintech.
• Hands-on experience with AWS and containerization.

Responsibilities

• Design and deploy RAG-based LLM systems for business use cases.
• Manage Databricks ML pipelines and integrate LLMs with financial data.
• Lead prompt engineering and monitor model performance.

Skills

MLOps

AI Infrastructure

Python

LangChain

Databricks

API Management

Tools

Databricks SQL

Delta Lake

Docker

Kubernetes

Job description

Who are we?

CFI Financial Group is an award-winning trading provider, possessing more than 25 years of experience with multiple offices around the world including London, Larnaca, Beirut, Amman, Dubai, Kuwait, Port Louis, and others.

Check out more about CFI here.

CFI is hiring! Make your mark in the online trading industry.

Are you looking to pursue a career in finance? Do you want to work with a dynamic and growing team in the exciting world of online trading and investing? If you answered yes, then we have some amazing opportunities for you!

Description:

We are seeking a highly skilled and innovative DevOps Engineer with deep expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems to join our team. This role will focus on developing and deploying intelligent systems that enhance key business areas such as trading, brokerage services, KYC/AML, client onboarding, customer support, and compliance.

Key Responsibilities:

• Design and deploy RAG-based LLM systems to support key business use cases in trading, brokerage services, onboarding, support, and compliance.
• Integrate LLMs (e.g., Claude, OpenAI, open-source models) with secure financial data pipelines and internal tools.
• Manage and optimize Databricks-based ML pipelines, embedding workflows, and vector storage.
• Build MLOps frameworks (CI/CD, model versioning, testing, rollback) for real-time and batch financial systems.
• Work with internal stakeholders to create AI-powered tools for:
• KYC/AML document processing
• Regulatory compliance checks
• Client communication summarization
• Market sentiment extraction
• Maintain security, privacy, and compliance standards (e.g., GDPR, VARA, SCA).
• Monitor and log model performance, usage, and financial impact across applications.
• Lead prompt engineering, context window optimization, and cost-performance trade-offs.

Required Qualifications:

• 3+ years in MLOps or AI Infrastructure roles.
• Solid experience with LLM deployment and RAG pipelines, ideally in trading or fintech.
• Proficient in Python, LangChain, MLflow, Databricks, and vector DBs
• Experience with Databricks SQL, Delta Lake, and embedding search in a financial context.
• Comfortable integrating and scaling Claude, OpenAI, or similar LLM APIs.
• Hands on Experience with AWS, containerization (Docker/Kubernetes), and data orchestration tools.
• Deep understanding of security protocols, API token handling, and permissioning within financial systems.

Why join CFI?

· We’re a fast-growing, multinational company

· Competitive salaries and benefits

· Work and learn with industry professions

· Supportive and collaborative environment

· Unlimited opportunities for growth and development