AI Engineer

IC; Dubai; On-site; AED 180,000 - 300,000; Full time

Job summary

IC Markets Global is seeking an AI Engineer to design, build, and deploy production-grade AI systems at scale, blending software engineering with applied artificial intelligence for trading-focused solutions. You will develop Python services with FastAPI, architect agent workflows for chat, search and retrieval, and implement LangChain, vector databases, and comprehensive testing.

Expect optimized latency, scalable architectures, and robust production practices across cloud and on‑premise

Qualifications

• 3+ years of software engineering experience, backend with Python.
• 1–2+ years deploying ML/AI systems in production.
• Proficient in Python and production quality code.
• Experience in NLP, RAG, embeddings, vector databases (Qdrant, Milvus).
• Deep expertise with LangChain and/or LlamaIndex.
• Strong Langsmith knowledge, Evaluation Benchmarking and Tracing.
• Prompt engineering and agent testing methodologies.
• Understanding of LLM inference pipelines (local/cloud).
• Docker and cloud platforms (AWS/GCP/Azure).
• APIs design with microservices architecture.

Responsibilities

• Design and deploy production-ready Python services powering AI capabilities, leveraging FastAPI for robust API development.
• Architect and fine-tune end-to-end agent workflows supporting chat, search, and retrieval use cases.
• Develop intelligent agents using LangChain, LangGraph, and LangSmith, encompassing prompt engineering, integration, and comprehensive testing.
• Integrate and optimise vector databases (Qdrant, Milvus, etc.) for embeddings management, high-speed lookups, and hybrid search functionality.
• Continuously evaluate and monitor agent performance to ensure reliability, accuracy, and consistency in production environments.
• Optimise agent systems for reduced latency, cost efficiency, and horizontal scalability.

Skills

Python

ML/AI in production

NLP

LLM/AI tooling

LangChain

LangSmith

Docker

Cloud platforms

API design

Tools

Qdrant

Milvus

FastAPI

LangGraph

LangChain

LlamaIndex

Job description

IC Markets Global is one of the most renowned Forex CFD provider, offering trading solutions for active day traders and scalpers as well as traders that are new to the forex market. IC Markets Global offers its clients cutting edge trading platforms, low latency connectivity and superior liquidity.

IC Markets Global is revolutionising online forex trading. Traders are now able to gain access to pricing previously only available to investment banks and high net worth individuals.

Our management team have significant experience in the Forex, CFD and Equity markets in Asia, Europe and North America. It is this experience that has enabled us to select the best possible technology solutions and hand pick some of the best pricing providers available in the market.

About the Role

We are seeking a skilled and experienced AI Engineer to join our team. In this role, you will be responsible for designing, developing, and deploying production-grade AI systems and intelligent agent pipelines. You will work at the intersection of software engineering and applied artificial intelligence, building scalable, reliable, and high-performance solutions.

Key Responsibilities

• Design and deploy production-ready Python services powering AI capabilities, leveraging FastAPI for robust API development.
• Architect and fine-tune end-to-end agent workflows supporting chat, search, and retrieval use cases.
• Develop intelligent agents using LangChain, LangGraph, and LangSmith, encompassing prompt engineering, integration, and comprehensive testing.
• Integrate and optimise vector databases (Qdrant, Milvus, etc.) for embeddings management, high-speed lookups, and hybrid search functionality.
• Continuously evaluate and monitor agent performance to ensure reliability, accuracy, and consistency in production environments.
• Optimise agent systems for reduced latency, cost efficiency, and horizontal scalability.

Required Qualifications

• 3+ years of total software engineering experience, with a strong foundation in backend development using Python.
• 1–2+ years of hands‑on experience deploying and maintaining ML/AI systems in production environments (beyond research or proof‑of‑concept stages).
• Demonstrated proficiency in Python and software engineering best practices, with a focus on clean, maintainable, and production‑quality code.
• Solid experience with NLP, Retrieval‑Augmented Generation (RAG), embeddings, and vector databases such as Qdrant and Milvus.
• Deep expertise in LangChain and/or LlamaIndex for building agentic AI systems.
• Strong experience with Langsmith, understanding Evaluation Benchmarking and Tracing
• Proven experience in prompt engineering and systematic agent testing methodologies.
• Strong understanding of LLM inference pipelines, both on local infrastructure and cloud platforms.
• Proficiency with Docker and cloud platforms (AWS, GCP, or Azure).
• Demonstrated ability to design clean, well‑documented APIs and integrate seamlessly with existing backend systems using a microservices architecture.