70 AI Engineer jobs in Qatar

We are Qatar Insurance Company (QIC), the leading insurance provider in the GCC. With a history dating back to 1964, we have established ourselves as a pioneer in the insurance industry, offering innovative solutions to meet the diverse needs of individuals and businesses.

Our vision is to make QIC group the first Digital Ecosystem in the region by combining insurance and non-insurance services on a single platform. Through our digital platforms, such as qic.online and the QIC app, we empower customers to manage their needs anytime and anywhere.

Our employees have been featured in Forbes 30 under 30, teach at online universities, serve on program committees of major IT conferences, and have previously worked at Yandex, Tinkoff, Avito, Ozon, and other leading tech companies.

We are looking for an experienced AI/ML Engineer to join our team and help design, build, and scale intelligent systems that power real business solutions. You will work across LLMs, Computer Vision, Speech AI, and AI Infrastructure, embedding advanced AI into core business processes and client-facing products.

• Build chatbots, RAG systems, and automated document processing pipelines involving LLM development.
• Implement OCR for insurance documents, damage assessment from photos, and identity verification using Computer Vision techniques.
• Develop transcription, voice analytics, and multilingual support solutions in Speech AI.
• Deploy and monitor AI models, and integrate them with cloud AI services as part of AI Infrastructure.
• Embed AI into business workflows, create AI APIs, and design user-friendly AI-powered experiences for products.

• At least 3 years of experience in AI/ML engineering with a focus on production systems.
• Strong Python skills (advanced) and experience with FastAPI/Flask for API development.
• Hands-on experience with LLM tools such as OpenAI API, LangChain, Hugging Face Transformers.
• Proficiency in deep learning frameworks like PyTorch or TensorFlow for fine-tuning models.
• Experience with Docker & Kubernetes for containerization and orchestration of AI applications.

Core AI/ML Competencies

• Prompt Engineering: designing effective prompts for LLMs.
• Fine-tuning: adapting pre-trained models to specific business tasks.
• Retrieval-Augmented Generation (RAG): working with vector databases and embeddings.
• Computer Vision Pipelines: from preprocessing to inference.
• Multimodal AI: building solutions that combine text and images.

• Long-term service agreement with QIC.
• A diverse remote team working from 25 different countries.
• Monthly salary paid in US dollars via SWIFT bank transfer.
• Full-time remote work, Sunday to Thursday, 5 days per week.
• Vacation policy aligned with Qatar holidays, including 20 workdays of vacation and 10 sick days.
• Biannual performance reviews with potential raises in March and September.
• Potential opportunity for Qatar ID and relocation to Doha, Qatar.

Quality healthcare with up to $1,500 dental coverage, regardless of your location.

• Language classes to improve communication skills in English, Arabic, or other languages.
• Mental health support services, including Yasno, with 70% coverage, plus 3 mental health days annually.
• Guidance on local and international tax regulations.
• $600/year support for further courses and internal workshops.
• Join our QIC running club for motivation, coaching, and marathon support.
• Salary payouts in USD, EUR, or AED, based on your preference.
• Extra paid leave, including vacation days, sick leave, and bonus days for longevity.

We are open to adopting new stacks and technologies to build market-leading solutions.

Direct message the job poster from UMATR

Senior AI Engineer - Fintech Start-Up

We've partnered with a fast-growing fintech start-up in Doha, building AI-powered solutions to transform financial services across the region. As they scale, we're looking for a Senior AI Engineer to join our their tech team and drive the development of intelligent, customer-first products.

What You’ll Get:

• QAR 35k/month
• VISA & Medical for you + your family
• ESOP

What You’ll Do:

• Design, fine-tune, and deploy LLMs and multimodal GenAI models for use cases in personalized financial advice, fraud detection, and customer engagement
• Work closely with data engineers and product teams to integrate AI into cloud-native fintech platforms
• Implement MLOps best practices for model lifecycle management, monitoring, and scalability
• Experiment with prompt engineering, retrieval-augmented generation (RAG) , and domain-specific knowledge integration
• Apply the latest research in transformers, embeddings, and generative pipelines to real-world fintech challenges

What We're Looking For:

• 5+ years in machine learning, NLP, and deep learning (TensorFlow / PyTorch)
• Experience with Generative AI models (LLMs, diffusion models, or multimodal AI)
• Skilled in Python and familiar with frameworks like LangChain, Hugging Face, or Vertex AI
• Solid understanding of MLOps tools (Airflow, MLflow, Docker, Kubernetes)
• Familiarity with cloud platforms (GCP, AWS, or Azure) - GCP/Vertex AI is a plus
• Ability to work in a fast-paced start-up environment, contributing across research, engineering, and product
• Bonus: Experience in fintech, financial modeling, or regulatory tech (RegTech)

• Mid-Senior level

• Full-time

• Information Technology

• Staffing and Recruiting

Join to apply for the Sr. AI Engineer role at Vistas Global

The Sr. AI Engineer will play a lead role in developing and deploying artificial intelligence and machine learning solutions across enterprise systems. This position focuses on building smart algorithms that solve real business challenges from automation and optimization to predictive modelling. The engineer will collaborate with data scientists, developers, and business teams to integrate AI into practical, scalable tools that support innovation and efficiency.

• Model Design: Build and deploy AI and machine learning models for use in automation, classification, and predictive analytics
• Data Preparation: Clean, preprocess, and manage large datasets for training and testing models
• Collaboration: Work with cross-functional teams to understand business needs and deliver AI-powered solutions
• Research & Innovation: Stay updated on the latest developments in AI and apply new techniques when relevant
• Deployment & Monitoring: Support the rollout of models into production and monitor performance for improvement
• Documentation: Maintain clear documentation of AI workflows, tools, and model behaviour

• Strong background in machine learning, deep learning, and neural networks
• Proficient in Python, TensorFlow, Keras, PyTorch, and related frameworks
• Experience with data science libraries (e.g., NumPy, Pandas, Scikit-learn)
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerisation (Docker/Kubernetes)
• Strong analytical thinking and the ability to present technical concepts to non-technical teams
• Experience with data pipelines, model evaluation, and A/B testing

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• At least 5 years of experience in AI engineering, machine learning, or applied data science
• Experience deploying production-ready AI models is highly preferred
• Applicants currently based in Qatar with a valid QID are encouraged to apply

Job ID: -114VG

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• IT Services and IT Consulting

Direct message the job poster from UMATR

Senior AI Engineer - Fintech Start-Up

We’ve partnered with a fast-growing fintech start-up in Doha, building AI-powered solutions to transform financial services across the region. As they scale, we’re looking for a Senior AI Engineer to join our their tech team and drive the development of intelligent, customer-first products.

What Youu2019ll Get:

• QAR 35k/month
• VISA & Medical for you + your family
• ESOP

What Youu2019ll Do:

• Design, fine-tune, and deploy LLMs and multimodal GenAI models for use cases in personalized financial advice, fraud detection, and customer engagement
• Work closely with data engineers and product teams to integrate AI into cloud-native fintech platforms
• Implement MLOps best practices for model lifecycle management, monitoring, and scalability
• Experiment with prompt engineering, retrieval-augmented generation (RAG) , and domain-specific knowledge integration
• Apply the latest research in transformers, embeddings, and generative pipelines to real-world fintech challenges

What We’re Looking For:

• 5+ years in machine learning, NLP, and deep learning (TensorFlow / PyTorch)
• Experience with Generative AI models (LLMs, diffusion models, or multimodal AI)
• Skilled in Python and familiar with frameworks like LangChain, Hugging Face, or Vertex AI
• Solid understanding of MLOps tools (Airflow, MLflow, Docker, Kubernetes)
• Familiarity with cloud platforms (GCP, AWS, or Azure) - GCP/Vertex AI is a plus
• Ability to work in a fast-paced start-up environment, contributing across research, engineering, and product
• Bonus: Experience in fintech, financial modeling, or regulatory tech (RegTech)

• Mid-Senior level

• Full-time

• Information Technology

• Staffing and Recruiting

Join to apply for the Sr. AI Engineer role at Vistas Global

The Sr. AI Engineer will play a lead role in developing and deploying artificial intelligence and machine learning solutions across enterprise systems. This position focuses on building smart algorithms that solve real business challenges from automation and optimization to predictive modelling. The engineer will collaborate with data scientists, developers, and business teams to integrate AI into practical, scalable tools that support innovation and efficiency.

• Model Design: Build and deploy AI and machine learning models for use in automation, classification, and predictive analytics
• Data Preparation: Clean, preprocess, and manage large datasets for training and testing models
• Collaboration: Work with cross-functional teams to understand business needs and deliver AI-powered solutions
• Research & Innovation: Stay updated on the latest developments in AI and apply new techniques when relevant
• Deployment & Monitoring: Support the rollout of models into production and monitor performance for improvement
• Documentation: Maintain clear documentation of AI workflows, tools, and model behaviour

• Strong background in machine learning, deep learning, and neural networks
• Proficient in Python, TensorFlow, Keras, PyTorch, and related frameworks
• Experience with data science libraries (e.g., NumPy, Pandas, Scikit-learn)
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerisation (Docker/Kubernetes)
• Strong analytical thinking and the ability to present technical concepts to non-technical teams
• Experience with data pipelines, model evaluation, and A/B testing

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• At least 5 years of experience in AI engineering, machine learning, or applied data science
• Experience deploying production-ready AI models is highly preferred
• Applicants currently based in Qatar with a valid QID are encouraged to apply

Job ID: VG

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• IT Services and IT Consulting

Overview

Fullstack AI Engineer

Location: Qatar, India

Experience: 4+ years

Employment Type: Full-Time

Role Overview : The Fullstack AI Engineer will be responsible for designing and implementing AI-powered solutions, including the development of GenAI applications, LLM pipelines, and seamless integration into user-facing platforms. The role spans model integration, backend services, UI development, and production deployment, working closely with cross-functional teams.

• Design and implement GenAI-powered solutions including RAG pipelines, prompt orchestration, and multi-modal LLM integration.
• Integrate LLMs (e.g., OpenAI, Gemini, HuggingFace, LLaMA) with backend APIs and frontend interfaces.
• Build and optimize MLOps pipelines for continuous model deployment and monitoring.
• Develop and maintain UI interfaces for interacting with AI services (e.g., using React or Angular).
• Collaborate with data scientists, DevOps, and product teams to ensure end-to-end solution delivery.
• Implement observability, logging, and feedback mechanisms for AI models in production.

• Proficiency in Python, RESTful APIs, and integration with vector databases (e.g., Pinecone, FAISS, Chroma).
• Hands-on experience with LLM APIs and prompt engineering techniques.
• Frontend development using modern frameworks (React / Angular / Vue).
• Experience with containerization (Docker), Git, CI / CD pipelines, and deployment to cloud platforms.
• Familiarity with performance optimization, inference tuning, and model lifecycle management.

• Experience with LangChain, LlamaIndex, or similar orchestration frameworks.
• Understanding of data privacy, access control, and ethical considerations in AI deployments.
• Experience with feedback loops and retrieval evaluation in RAG systems.
• Exposure to Google Cloud Platform (GCP), including services such as Vertex AI, Cloud Functions, IAM and BigQuery.
• Familiarity with Google Gemini models and Agent Space for building and orchestrating GenAI applications (preferred but not mandatory).