49 AI Engineer jobs in Qatar

About Us

Mathspace is on a mission to transform mathematics education. We believe that every student can learn and grow in mathematics with the right support-and we're building the most intelligent, adaptive platform to make that possible.

For over a decade, we've pioneered interactive, feedback-driven math learning experiences used by hundreds of thousands of students and teachers globally. But we're just getting started.

The future of math education is one where AI helps every learner receive personalized, real-time guidance-just like a tutor would. And we're building it.

We're a passionate, mission-driven team that blends deep educational insight with cutting-edge technology. At Mathspace, your work directly impacts how the next generation learns.

About The Role

As an AI Product Engineer at Mathspace, you'll lead the development of intelligent learning experiences powered by large language models (LLMs) and other forms of generative AI. From concept to production, you'll build novel product features that help students get timely hints, conversational feedback, and human-like math support-at scale.

You'll join a cross-functional product squad of engineers, designers, educators, and product managers, and work across the stack to explore what's possible at the intersection of pedagogy and AI. You'll evaluate models, design prompts and evaluation frameworks, and help us ship polished experiences to classrooms around the world.

We're still in the early days of our AI journey, and you'll be a key contributor in shaping our strategy, systems, and culture around building with LLMs.

What You'll Be Doing

• Designing and building AI-powered learning experiences that integrate LLMs into Mathspace's student and teacher-facing apps.
• Prototyping, testing, and deploying LLM-based features, such as math-specific feedback, adaptive hints, automated question generation, and teacher co-pilot tools.
• Working across the stack using React, TypeScript, Python and GraphQL.
• Experimenting with prompting, RAG, vector search, and fine-tuning strategies to optimize for student learning outcomes.
• Collaborating with our curriculum and pedagogy teams to ensure our AI experiences are pedagogically sound and aligned with our educational values.
• Contributing to our AI infra and LLMOps processes, including evaluation pipelines, prompt versioning, and observability tools.
• Thinking creatively and critically about what LLMs should and shouldn't do in an educational context-and designing safeguards accordingly.
  
  

• 5+ years of industry experience in product-focused full stack or backend engineering.
• Proficiency in our stack: React/TypeScript, Python, GraphQL.
• Hands-on experience building and deploying LLM-powered applications in production.
• Familiarity with tools and concepts like RAG, prompt engineering, evaluation frameworks, and LLMOps best practices.
• A strong sense of product intuition and user empathy, especially in educational contexts.
• Excellent communication and collaboration skills. You'll be working cross-functionally with teams across pedagogy, design, and engineering.
• A desire to move fast, learn continuously, and build things that really matter for students and teachers
  
  

• Mission-driven work: Help reimagine math education for students and teachers everywhere.
• Meaningful scale: Your work will reach hundreds of thousands of learners across Australia, the US, and beyond.
• Small team, big impact: We're a lean, high-trust team where individual ownership matters.
• Flexible work: We support remote work with some timezone overlap with Sydney. Our HQ is near Central Station.
• Support for growth: We offer a yearly stipend for training and professional development.
• Do good beyond product: We partner with pledge1percent.org and offer 2.5 paid volunteer days annually.
• Competitive salary and equipment: Including a MacBook Pro and any peripherals you need to do your best work

The AI/ML Engineer develops andimplements AI/ML models and solutions to drive business innovation andefficiency. This role involves developing and validating machine learningmodels, deep learning algorithms, and statistical analyses, collaborating withcross-functional teams, and ensuring the quality and impact of AI/ML solutions.

• Develop and implement AI/ML projects,including the design and development of models and algorithms.
• Collaborate with stakeholders to understandbusiness requirements and translate them into AI/ML solutions.
• Develop and validate machine learningmodels, deep learning algorithms, and statistical analyses.
• Ensure the accuracy, quality, and relevanceof AI/ML outputs.
• Stay updated with the latest advancementsin AI/ML technologies and best practices, applying them to enhance solutions.
• Provide support and guidance to other teammembers as needed.
• Ensure compliance with data governance,security, and regulatory standards in all AI/ML activities.
• Prepare and present AI/ML reports anddocumentation to senior management and stakeholders.
• Participate in project planning andcontribute to the development of project timelines and deliverables.
• Perform other duties relevant to the job asassigned by the Sr. AI/ML Engineer or senior management.
  

• Bachelor's degree in AI/ML Engineering,Computer Science, or a related field
• Relevant certifications (e.g., Google CloudProfessional Machine Learning Engineer, AWS Certified Machine Learning -Specialty) are preferred
• Preferred 1 year of experience in AI/MLengineering or related fields.
• Strong programming skills in languages suchas Python, R, or Java
• Proficiency in AI/ML tools and frameworks(e.g., TensorFlow, PyTorch)
• Excellent problem-solving and analyticalskills
• Strong communication and interpersonalskills
• Attention to detail and commitment toquality
• In-depth understanding of AI/ML principles,machine learning algorithms, and statistical analysis
• Familiarity with AI/ML model deployment andmonitoring
• Knowledge of data governance, security, andregulatory standards
• Ability to manage multiple tasks andprioritize effectively
• Strong attention to detail and commitmentto delivering high-quality work
• Ability to work independently and as partof a team
• Programming languages (e.g., Python, R,Java)
• AI/ML tools and frameworks (e.g.,TensorFlow, PyTorch)
• Data visualization tools (e.g., Tableau,Power BI)
• Collaboration and communication tools(e.g., Slack, Microsoft Teams)
• Data management systems (e.g., SQL, NoSQLdatabases)

About Us

Mathspace is on a mission to transform mathematics education. We believe that every student can learn and grow in mathematics with the right support—and we're building the most intelligent, adaptive platform to make that possible.

For over a decade, we've pioneered interactive, feedback-driven math learning experiences used by hundreds of thousands of students and teachers globally. But we're just getting started.

The future of math education is one where AI helps every learner receive personalized, real-time guidance—just like a tutor would. And we're building it.

We're a passionate, mission-driven team that blends deep educational insight with cutting-edge technology. At Mathspace, your work directly impacts how the next generation learns.

About The Role

As an AI Product Engineer at Mathspace, you'll lead the development of intelligent learning experiences powered by large language models (LLMs) and other forms of generative AI. From concept to production, you'll build novel product features that help students get timely hints, conversational feedback, and human-like math support—at scale.

You'll join a cross-functional product squad of engineers, designers, educators, and product managers, and work across the stack to explore what's possible at the intersection of pedagogy and AI. You'll evaluate models, design prompts and evaluation frameworks, and help us ship polished experiences to classrooms around the world.

We're still in the early days of our AI journey, and you'll be a key contributor in shaping our strategy, systems, and culture around building with LLMs.

What You'll Be Doing

• Designing and building AI-powered learning experiences that integrate LLMs into Mathspace's student and teacher-facing apps.
• Prototyping, testing, and deploying LLM-based features, such as math-specific feedback, adaptive hints, automated question generation, and teacher co-pilot tools.
• Working across the stack using React, TypeScript, Python and GraphQL.
• Experimenting with prompting, RAG, vector search, and fine-tuning strategies to optimize for student learning outcomes.
• Collaborating with our curriculum and pedagogy teams to ensure our AI experiences are pedagogically sound and aligned with our educational values.
• Contributing to our AI infra and LLMOps processes, including evaluation pipelines, prompt versioning, and observability tools.
• Thinking creatively and critically about what LLMs should and shouldn't do in an educational context—and designing safeguards accordingly.
  
  

• 5+ years of industry experience in product-focused full stack or backend engineering.
• Proficiency in our stack: React/TypeScript, Python, GraphQL.
• Hands-on experience building and deploying LLM-powered applications in production.
• Familiarity with tools and concepts like RAG, prompt engineering, evaluation frameworks, and LLMOps best practices.
• A strong sense of product intuition and user empathy, especially in educational contexts.
• Excellent communication and collaboration skills. You'll be working cross-functionally with teams across pedagogy, design, and engineering.
• A desire to move fast, learn continuously, and build things that really matter for students and teachers
  
  

• Mission-driven work: Help reimagine math education for students and teachers everywhere.
• Meaningful scale: Your work will reach hundreds of thousands of learners across Australia, the US, and beyond.
• Small team, big impact: We're a lean, high-trust team where individual ownership matters.
• Flexible work: We support remote work with some timezone overlap with Sydney. Our HQ is near Central Station.
• Support for growth: We offer a yearly stipend for training and professional development.
• Do good beyond product: We partner with pledge1percent.org and offer 2.5 paid volunteer days annually.
• Competitive salary and equipment: Including a MacBook Pro and any peripherals you need to do your best work

The AI Ops Engineer manages thedeployment, monitoring, and maintenance of AI models. This role involvesensuring the reliability, scalability, and performance of AI systems,collaborating with cross-functional teams to optimize AI operations, and troubleshootingissues as they arise.

• Deploy,monitor, and maintain AI models and systems to ensure optimal performance andreliability.
• Implementand manage CI/CD pipelines for the continuous integration and delivery of AImodels.
• Collaboratewith data scientists, AI engineers, and other stakeholders to understand modelrequirements and ensure successful deployment.
• Monitorthe performance of AI models and systems, identifying and resolving issuespromptly.
• Developand maintain automated monitoring and alerting systems to ensure the health andperformance of AI systems.
• OptimizeAI models and infrastructure for scalability and efficiency
• Ensurecompliance with data governance, security, and regulatory standards in AIoperations.
• Documentdeployment procedures, monitoring processes, and maintenance activities.
• Stayupdated with the latest advancements in AI operations and infrastructuretechnologies.
• Providetechnical support and guidance to junior team members.
• Participatein project planning and contribute to the development of project timelines anddeliverables.
• Performother duties relevant to the job as assigned by the Sr. AI Ops Engineer orsenior management.

• Bachelor’sdegree in Computer Science, Information Technology, or a related field
• Relevantcertifications (e.g., AWS Certified DevOps Engineer, Google Cloud ProfessionalDevOps Engineer) are preferred
• Minimumof 3 years of experience in AI operations, DevOps, or related fields
• Experiencein managing the deployment and maintenance of AI models
• Strongprogramming skills in languages such as Python
• Proficiency in AI and machinelearning frameworks (e.g., TensorFlow, PyTorch)
• Experience with CI/CD tools (e.g.,Jenkins, GitLab CI)
• Excellent problem-solving andtroubleshooting skills
• Strongcommunication and interpersonal skills
• In-depthknowledge of AI operations and infrastructure management
• Familiarity with cloud platforms(e.g., AWS, Azure, Google Cloud) and their AI services
• Understandingof data governance, security, and regulatory standards
• Ability tomanage multiple tasks and prioritize effectively
• Strong attention to detail andcommitment to delivering high-quality work
• Abilityto work independently and as part of a team
• Programminglanguages (e.g., Python)
• AI and machine learning frameworks(e.g., TensorFlow, PyTorch)
• CI/CD tools (e.g., Jenkins, GitLabCI)
• Monitoring and logging tools (e.g.,Prometheus, ELK Stack)
• Collaborationand communication tools (e.g., Slack, Microsoft Teams)
  

The AI/ML Engineer develops andimplements AI/ML models and solutions to drive business innovation andefficiency. This role involves developing and validating machine learningmodels, deep learning algorithms, and statistical analyses, collaborating withcross-functional teams, and ensuring the quality and impact of AI/ML solutions.

• Develop and implement AI/ML projects,including the design and development of models and algorithms.
• Collaborate with stakeholders to understandbusiness requirements and translate them into AI/ML solutions.
• Develop and validate machine learningmodels, deep learning algorithms, and statistical analyses.
• Ensure the accuracy, quality, and relevanceof AI/ML outputs.
• Stay updated with the latest advancementsin AI/ML technologies and best practices, applying them to enhance solutions.
• Provide support and guidance to other teammembers as needed.
• Ensure compliance with data governance,security, and regulatory standards in all AI/ML activities.
• Prepare and present AI/ML reports anddocumentation to senior management and stakeholders.
• Participate in project planning andcontribute to the development of project timelines and deliverables.
• Perform other duties relevant to the job asassigned by the Sr. AI/ML Engineer or senior management.
  

• Bachelor’s degree in AI/ML Engineering,Computer Science, or a related field
• Relevant certifications (e.g., Google CloudProfessional Machine Learning Engineer, AWS Certified Machine Learning –Specialty) are preferred
• Preferred 1 year of experience in AI/MLengineering or related fields.
• Strong programming skills in languages suchas Python, R, or Java
• Proficiency in AI/ML tools and frameworks(e.g., TensorFlow, PyTorch)
• Excellent problem-solving and analyticalskills
• Strong communication and interpersonalskills
• Attention to detail and commitment toquality
• In-depth understanding of AI/ML principles,machine learning algorithms, and statistical analysis
• Familiarity with AI/ML model deployment andmonitoring
• Knowledge of data governance, security, andregulatory standards
• Ability to manage multiple tasks andprioritize effectively
• Strong attention to detail and commitmentto delivering high-quality work
• Ability to work independently and as partof a team
• Programming languages (e.g., Python, R,Java)
• AI/ML tools and frameworks (e.g.,TensorFlow, PyTorch)
• Data visualization tools (e.g., Tableau,Power BI)
• Collaboration and communication tools(e.g., Slack, Microsoft Teams)
• Data management systems (e.g., SQL, NoSQLdatabases)

The Principal AI/ML Engineer develops and implements AI/ML models and solutions to drive business innovation and efficiency. This role involves leading AI/ML projects, collaborating with cross-functional teams, and ensuring the quality and impact of AI/ML solutions.

• Lead the development and implementation of AI/ML projects,including the design and development of models and algorithms.
• Collaborate with stakeholders to understand businessrequirements and translate them into AI/ML solutions.
• Develop and validate machine learning models, deep learningalgorithms, and statistical analyses.
• Ensure the accuracy, quality, and relevance of AI/MLoutputs.
• Stay updated with the latest advancements in AI/MLtechnologies and best practices, applying them to enhance solutions.
• Mentor and provide guidance to junior AI/ML engineers andother team members.
• Ensure compliance with data governance, security, andregulatory standards in all AI/ML activities.
• Prepare and present AI/ML reports and documentation tosenior management and stakeholders.
• Participate in project planning and contribute to thedevelopment of project timelines and deliverables.
• Perform other duties relevant to the job as assigned by theHead of Data & AI Engineering or senior management.
  

• Bachelor's degree in AI/ML Engineering, Computer Science, ora related field
• Relevant certifications (e.g., Google Cloud ProfessionalMachine Learning Engineer, AWS Certified Machine Learning - Specialty) arepreferred
• Minimum of 8 years of experience in AI/ML engineering orrelated fields
• Experience in developing and implementing AI/ML solutionsfor AI or technology-focused products
• Strong programming skills in languages such as Python, R, orJava
• Proficiency in AI/ML tools and frameworks (e.g., TensorFlow,PyTorch)
• Excellent problem-solving and analytical skills
• Strong communication and interpersonal skills
• Attention to detail and commitment to quality
• In-depth understanding of AI/ML principles, machine learningalgorithms, and statistical analysis
• Familiarity with AI/ML model deployment and monitoring
• Knowledge of data governance, security, and regulatorystandards
• Ability to manage multiple tasks and prioritize effectively
• Strong attention to detail and commitment to deliveringhigh-quality work
• Ability to work independently and as part of a team
• Programming languages (e.g., Python, R, Java)
• AI/ML tools and frameworks (e.g., TensorFlow, PyTorch)
• Data visualization tools (e.g., Tableau, Power BI)
• Collaboration and communication tools (e.g., Slack,Microsoft Teams)
• Data management systems (e.g., SQL, NoSQL databases)