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Principal & Lead AI Engineers | Gen AI

Client of Reqiva

Dubai

On-site

USD 80,000 - 150,000

Full time

30+ days ago

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Job summary

Join a pioneering AI-first fintech organization that's revolutionizing the trading space through innovative machine learning solutions. As a Principal or Lead AI Engineer, you'll lead the design and implementation of cutting-edge AI models, from deep learning to reinforcement learning, while working alongside top technologists. This role offers a unique opportunity to stay hands-on and shape the technical direction of ambitious AI products. With competitive salaries, performance bonuses, and comprehensive benefits, this is your chance to make a significant impact in a deeply technical environment focused on real-world applications.

Benefits

Competitive Salary

Annual Performance-Based Bonus

Private Healthcare

Life Insurance

Health Screening

Generous Annual Leave

Parental Leave

Professional Development Support

Qualifications

Deep expertise in Python and AI/ML model design.
Experience with MLOps pipelines and cloud infrastructure.

Responsibilities

Design and implement advanced AI/ML models and systems.
Collaborate to integrate AI across product lines.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Reinforcement Learning

Generative AI

NLP

Graph Neural Networks

Big Data Ecosystems

Problem Solving

Tools

Hugging Face Transformers

spaCy

Weaviate

Pinecone

Milvus

Spark

Kafka

Hadoop

Principal & Lead AI Engineers Real-World Innovation in Fintech AI

We're partnered with a pioneering AI-first fintech organisation that is redefining the trading space through state-of-the-art machine learning and deep tech. As part of their scale-up journey, they are expanding their core AI teams and are now hiring Principal and Lead AI Engineers to work on some of the most forward-thinking projects in the industry.

This is a unique opportunity for senior engineers who want to stay hands-on while shaping the technical direction of ambitious AI products from low-level experimentation through to large-scale deployment. You'll work alongside researchers, product teams, and fellow engineers to build real-world, enterprise-grade AI systems from the ground up.

What You’ll Work On

Design and implement advanced AI/ML models, including deep learning, reinforcement learning, and graph neural networks
Build NLP systems using tools like Hugging Face Transformers, spaCy, and custom pipelines
Develop and scale vector search engines (Weaviate, Pinecone, Milvus) for real-time search and retrieval
Contribute to autonomous/multi-agent systems architecture and implementation
Work with generative AI models (GPT, DALL-E, GANs) and transformer-based architectures (BERT, T5, ViT)
Drive scalable infrastructure and MLOps pipelines across the AI lifecycle
Collaborate cross-functionally to integrate AI across product lines and influence architectural direction

Ideal Experience

Deep expertise in Python, with strong proficiency in TensorFlow, PyTorch, and scikit-learn
Practical experience with vector databases, similarity search, and retrieval-augmented generation (RAG)
Hands-on knowledge of reinforcement learning, generative AI, transformer architectures, and advanced NLP/CV applications
Solid grounding in big data ecosystems (Spark, Kafka, Hadoop) and cloud infrastructure
Experience building high-performance, production-grade AI systems
Strong problem-solving skills, capable of driving initiatives with autonomy and ownership