Artificial Intelligence Engineer

The Group Securities; Doha; On-site; QAR 180,000 - 300,000; Full time

Job summary

The Group Securities is seeking an AI Engineer to design, build, and deploy AI agents and agentic workflows that automate finance-related processes. The role emphasizes secure, on-premise deployments and the integration of large language models, RAG, and multi-agent orchestration.

Ideal candidates have 2–4 years of AI experience, strong mathematics foundations, and proficiency in Python, with knowledge of Docker, Spark, and SQL.

Qualifications

• 2–4 years of AI experience with focus on agent architectures and workflows.

Responsibilities

• Design, build, and deploy AI agents and agentic workflows to automate business and financial processes.
• Develop AI-powered services with secure on-premise deployments for the firm and clients.
• Integrate LLMs, RAG, tool calling, and multi-agent orchestration into existing systems.
• Ensure data privacy, security, and regulatory compliance within private infrastructure.

Skills

AI agent development

Mathematics & statistics

Python programming

Big data processing

Education

Bachelor's degree in Computer Science or related field

Tools

LangChain

LangGraph

LlamaIndex

Docker

Git

SQL

Apache Spark

Job description

The Group Securities is a well-established investment organization working in the finance industry since 1989, as a company devoted to the stock exchange. It was licensed once Qatar Stock Exchange was founded in 1997 and provides an array of investment services to more than 400,000 investors, with portfolios exceeding QR 100 billion. As brokerage firm, The Group Securities finances margin trading and operates as liquidity provider for the listed shares and ETFs. The company has a paid-up capital worth (QR 1 billion) and has been continuously posting profit since its inception. Besides being licensed by Qatar Financial Market Authority to exercise these activities, The Group Securities is also a member of Qatar Stock Exchange.

Responsibilities:

• Design, build, and deploy AI agents and agentic workflows that automate and enhance business and financial processes.
• Develop AI-powered services and systems for the firm and its consumers, with an emphasis on secure, on-premise (self-hosted) deployments.
• Integrate large language models and other AI algorithms into existing systems and pipelines, including retrieval-augmented generation (RAG), tool/function calling, and multi-agent orchestration.
• Work alongside team members to improve existing systems, increase efficiency, and embed AI capabilities into current processes.
• Ensure AI solutions meet the firm's requirements for data privacy, security, and compliance by running models and services within on-premise or private infrastructure.

Skills:

• 2–4 years of experience working in AI, with a bachelor's degree in computer science or a related field.
• Strong understanding of AI algorithms, including large language models, agent frameworks, and their inner workings, backed by solid foundations in mathematics and statistics.
• Hands-on experience building AI agents or agentic applications (e.g., with frameworks like LangChain, LangGraph, LlamaIndex, or similar).
• Experience deploying and serving AI models on-premise (e.g., using tools like Ollama, vLLM, or self-hosted inference servers) rather than relying solely on cloud APIs.
• Proficiency in Python; experience with C++ or Java is a plus.
• Strong knowledge of handling big data, SQL, and frameworks like Apache Spark.
• Experience deploying AI services/systems into live production environments.
• Familiarity with vector databases and embedding-based retrieval.
• Knowledge of OOP, software development methodology and life cycle, containerization (e.g., Docker), and version control tools (Git).