2026 business intelligence engineer internship

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2026 business intelligence engineer internship Jobs in Dubai

ai data engineer

software engineer python cloud graduate level

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder-led, profitable, and growing.
 
 
 We are hiring a Software Engineer to develop, test and release improvements to the Ubuntu on public clouds.
 
 
 The quality and stability of the Ubuntu is critically important, since it's available on every public cloud. You'll work with teams across Canonical working on Ubuntu team, alongside major cloud partners to develop, test and release improvements to the Ubuntu cloud images. You will also be a voice in communication with our users, ensuring their needs are met.
 
 
 This role requires quality-oriented software engineering in Python and a focus on software interoperability over a vast range of target releases and environments. Excellent Python skills are a key requirement, with previous contributions to open source Python projects being an advantage. This role involves creating and managing Ubuntu images; therefore, experience in configuring apt, and knowledge of deb packaging and general system administration is advantageous in this role.
 
 
 Applicants should be passionate about the Ubuntu project and its values and about building tools that are used by millions of people around the world. A personal interest and emphasis on quality, thinking of edge cases, ease of use, documentation, and careful community coordination is important. Ubuntu is used for all kinds of users, from mission-critical environments to hobbyist Ubuntu users; applicants should be ready to work with the whole spectrum of end users and help guide engineering best practices with all of them in mind.
 
 
 The role entails
 
 
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 Collaborate proactively with a distributed team
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 Write high quality code, with unit and functional tests, to create new features
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 Debug issues and produce high quality code to fix them
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 Review code produced by other engineers
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 Discuss ideas and investigate to find good solutions
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 Work from home, with global travel 2 to 4 weeks per year for internal and external events
 
 
 </li>
 </ul>
 What we are looking for in you
 
 
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 You love technology and working with brilliant people
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 You are curious, flexible, articulate, and accountable
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 You value soft skills and are passionate, enterprising, thoughtful, and self-motivated
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 You have a Bachelor's or equivalent in Computer Science, STEM or similar degree
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 You have extensive experience with Python on Linux
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 You have interest in and experience with two or more of the following: Ubuntu Linux systems administration, continuous integration, end-system contract management, Debian packaging, working with public or on premise clouds
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 Bonus points if you have experience engaging with the open source community
 
 
 </li>
 </ul>
 
 What we offer colleagues
 
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
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 Distributed work environment with twice-yearly team sprints in person
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 Personal learning and development budget of USD 2,000 per year
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 Annual compensation review
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 Recognition rewards
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 Annual holiday leave
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 Maternity and paternity leave
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 Team Member Assistance Program &amp; Wellness Platform
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 Opportunity to travel to new locations to meet colleagues
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 Priority Pass and travel upgrades for long-haul company events
 
 
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 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 
 Canonical is an equal opportunity employer
 
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Software Engineer - Python - Cloud - graduate level

Delivery Hero

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region. 
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily. 
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. 
Job Description 
About the Role
We&rsquo;re looking for a Data Engineer who&rsquo;s passionate about building reliable, scalable, and cost-efficient data systems. You&rsquo;ll work with a modern stack, Kafka, Google Cloud Platform (GCP), AWS, to design and maintain the pipelines that power analytics, machine learning, and product insights.
Ideal role for someone with solid foundational skills in data engineering who&rsquo;s ready to deepen their expertise, take ownership of workflows, and collaborate across teams.
If you don&rsquo;t know every tool in our stack yet, that&rsquo;s okay. We value curiosity, problem-solving, and a willingness to learn just as much as existing technical skills.
What's On Your Plate?<ul><li>
Design, build, and maintain data pipelines and workflows for batch and streaming use cases.</li><li>
Work with Kafka to manage real-time data ingestion and event-driven architectures.</li><li>
Leverage GCP and AWS services for storage, processing, and orchestration (e.g., BigQuery, Dataflow, S3, Lambda).</li><li>
Orchestrate workflows using tools like Airflow or similar schedulers.</li><li>
Ensure data quality and reliability through monitoring, alerting, and automated validation.</li><li>
Collaborate with analysts, data scientists, and product teams to understand requirements and deliver data solutions that drive business impact.</li><li>
Optimize for cost and performance across cloud environments.</li><li>
Participate in code reviews, documentation, and knowledge sharing to raise the bar for the team.</li></ul> 

Our Tech Stack<ul><li>
Data Ingestion &amp; Streaming: Apache Kafka, Kafka Connect</li><li>
Cloud Platforms: Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage), AWS (S3, Lambda, Glue)</li><li>
Workflow Orchestration: Apache Airflow</li><li>
Programming Languages: Python, SQL, (bonus: Java/Scala)</li><li>
Infrastructure &amp; DevOps: Terraform, CI/CD pipelines, Docker</li><li>
Monitoring &amp; Observability: Grafana, Prometheus, Cloud-native tools</li></ul> 
Qualifications 
What Did We Order?
What We&rsquo;re Looking For<ul><li>
Experience (1-3 years) in data engineering, software engineering, or a related field.</li><li>
Proficiency in SQL and at least one programming language (Python preferred).</li><li>
Understanding of data modeling, ETL/ELT concepts, and cloud-based data warehouses.</li><li>
Familiarity with streaming platforms (Kafka, Kinesis, or similar).</li><li>
Comfort working in cloud environments (GCP, AWS, or Azure).</li><li>
Strong communication skills, able to explain technical concepts to non-technical audiences.</li><li>
Growth mindset, eager to learn, adapt, and take on new challenges. 
</li></ul>Nice-to-Have (But Not Required and willing to learn)<ul><li>
Experience with infrastructure-as-code (Terraform, CloudFormation).</li><li>
Exposure to containerization (Docker, Kubernetes).</li><li>
Knowledge of data governance, security, and compliance best practices.</li></ul> 
Additional Information 
Why You&rsquo;ll Love Working Here<ul><li>
Impact: Your work will directly influence how data powers decisions across the company.</li><li>
Learning culture: We invest in your growth &mdash; from mentorship to training budgets.</li><li>
Modern stack: Work with cutting-edge tools and cloud platforms.</li><li>
Collaboration: Partner with talented engineers, analysts, and product managers.</li><li>
Flexibility: We care about outcomes, not where you work from.</li></ul>
Our Hiring Philosophy
We know that a great data engineer isn&rsquo;t defined by checking every box. If you&rsquo;re excited about data engineering, have a solid foundation, and are eager to grow, we want to hear from you.</div>

Data Engineer II

Marcura

<div>About Marcura:
Marcura is a global leader in maritime technology and operations, supporting nearly one‑third of the world&rsquo;s seaborne commodity trade. Our trusted platforms which span software, data intelligence and payments sit at the centre of digital transformation across the maritime industry. We are now seeking a Senior Software Back-end Engineer to join our high‑impact team and contribute to the success of one of the sector&rsquo;s most forward‑looking organisations.
Purpose of Role
As a Senior Back-End Software Engineer, you own the architecture, design, development, and testing of scalable Compliance and RegTech solutions. You build and maintain secure, high-performance applications using Django REST Framework/Python (backend) to streamline counterparty onboarding, risk assessment, and regulatory screening.
You own the code and tests, ensuring robust APIs, seamless integrations, and compliance with industry standards (GDPR, ISO 27001). You drive secure coding practices, embedded testing (shift-left), and automation, collaborating with product managers, UX designers, and compliance specialists to align technology with business goals. You stay ahead of industry trends, bringing forward innovative ideas in full-stack development, AI, and compliance automation.
Job Responsibilities:
1. Build and own APIs that power onboarding, screening, and entity intelligence, ensuring performance, versioning, and auditability.
2. Expand product functionality by introducing new data-driven capabilities (search, risk scoring, relationship mapping, etc.) without compromising stability.
3. Integrate ElasticSearch for advanced query performance and analytics at scale.
4. Integrate with data or other platforms/services to support risk assessment and compliance automation.
5. Work closely with product managers, UX designers, and compliance specialists to align technical solutions with business goals.
6. Implement a shift-left testing approach, ensuring unit, integration, and end-to-end tests are embedded into the development lifecycle, with no reliance on separate testers or QA teams.
7. Implement industry best practices for secure coding, data privacy (GDPR), and compliance automation, ensuring regulatory alignment.
8. Ensure security, scalability, and maintainability of full-stack applications.
9. Ensure data accuracy, consistency, and security by establishing best practices for data modeling, ETL processes, and regulatory compliance (GDPR, ISO 27001) in data-driven applications
10. Stay up to date with emerging technologies in full-stack development, AI, and compliance automation, bringing forward innovative ideas to enhance products and processes 
Requirements 
Education<ul><li>
Bachelor's degree in Computer Science, Software Engineering, or a related field.
</li><li>Master&rsquo;s degree is a plus, especially in fields related to software engineering, data science</li></ul>
Training
<ul><li>Prior training or certifications in Django REST Framework, Angular, or DevOps practices is a plus.</li><li>
Certifications in cloud platforms (AWS, Azure, or Google Cloud) are beneficial.</li><li>
Prior training in AI agents, Large Language Models (LLMs), or machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn) is a plus, especially in the context of compliance automation and RegTech solutions.</li></ul>
Work Experience<ul><li>
5+ years of full-stack development experience, primarily with Python/Django REST Framework</li><li>
Proven experience in designing, developing, and maintaining scalable and secure applications, with a strong emphasis on RegTech, Compliance, or FinTech solutions (strong plus).</li><li>
Experience in system design, API architecture, and data processing pipelines in production environments.</li><li>
Experience working in an agile and remote-first environment, collaborating across distributed teams with code reviews, pair programming, and mentorship.</li><li>
Experience mentoring other developers, providing technical guidance, conducting code reviews, and fostering best practices in software engineering.
</li><li>Experience in the maritime industry is a plus, particularly in developing solutions for shipping, trade, or logistics-related compliance challenges.</li><li>
Experience with AI agents, LLM-based automation, or AI-powered compliance solutions is a plus, especially in integrating machine learning models into full-stack applications.
</li><li>Hands-on experience with ElasticSearch for indexing, querying, and analytics at scale is a strong plus.</li><li>
Understanding of relationship graph modeling (D3.js, Neo4j, or similar) to visualize and analyze interconnected entities.</li></ul>
Core Engineering (Python / Django REST)<ul><li>
Strong experience with Python, Django, Django REST Framework for API development.</li><li>
Experience with database design using Microsoft SQL Server (preferred) or similar.</li><li>
Knowledge of API security best practices, authentication (OAuth2, JWT), and role-based access control
</li><li>Familiarity with asynchronous task processing (Celery, Redis, or similar).</li><li>
Strong debugging, troubleshooting, and performance optimization skills.</li><li>
Comfortable in an agile, remote team environment, with peer programming, code reviews, and continuous integration.</li></ul>
Nice to have / Big Pluses
<ul><li>Experience integrating LLMs (GPT-5, Claude) into compliance automation.</li><li>
NLP experience (Hugging Face Transformers, spaCy) for adverse media monitoring and sanctions screening.</li><li>
Knowledge of entity resolution, graph-based AI, and risk scoring algorithms.</li><li>
Experience working with sanctions lists (OFAC, EU, UN), PEP databases, and AML screening tools.</li><li>
Ability to build AI-driven compliance automation tools.</li></ul> 

Benefits 
<ul><li>
Competitive Salary and Bonus: We reward your expertise and contributions.</li><li>
Inclusive Onboarding Experience: Our onboarding program is designed to set you up for success right from day one.</li><li>
Marcura Wellness Zone: We value your work-life balance and well-being.</li><li>
Global Opportunities: Be part of an ambitious, expanding company with a local touch.</li><li>
Diverse, Supportive Work Culture: We&rsquo;re committed to inclusion, diversity, and a sense of belonging for all team members.</li></ul></div>

Senior Back-End Software Engineer

LanceSoft Middle East

<div>
 
 
 Position: Cloud &amp; Virtualization Engineer
 
 
 
 
 Duration: 2 yr ext.
 
 
 
 
 Job Location: Dubai(Onsite)
 
 
 
 
 Job Summary
 
 
 <ul>
 <li>
 The Azure &amp; OpenShift Cloud Engineer will be responsible for the design, deployment, administration, and optimization of DHA&rsquo;s Microsoft Azure cloud services and OpenShift container platform. The role ensures availability, scalability, security, compliance, and operational excellence of the cloud and container ecosystem while following ITIL-aligned managed services processes.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
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 5+ years&rsquo; experience in enterprise cloud / infrastructure engineering.
 </li>
 </ul>
 
 
 Strong hands-on expertise in:
 
 
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 Microsoft Azure administration
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 OpenShift platform operations
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 </ul>
 
 
 Strong understanding of:
 
 
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 Azure networking, identity, governance, backup/DR
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 container orchestration and platform operations
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 </ul>
 
 
 Experience with automation and scripting:
 
 
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 PowerShell, Bash, Python, Terraform
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 </ul>
 
 
 Monitoring and troubleshooting skills using:
 
 
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 Azure Monitor / Log Analytics
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 Prometheus / Grafana
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 Strong analytical troubleshooting and RCA skills.
 </li>
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 Experience working in managed services / SLA-based operations.
 </li>
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 Good communication and documentation skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 
 <ul>
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 Azure: AZ-104, AZ-305.
 </li>
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 AWS: AWS Certified Solutions Architect &ndash; Associate / Professional
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 OpenShift / Containers: Red Hat OpenShift Administration, CKA.
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 VMware: VCP-DCV, VCAP-DCV (Optional)
 </li>
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 ITIL: ITIL 4 Foundation
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
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 Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.
 </li>
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 Equivalent practical experience may be considered.
 </li>
 </ul>
</div>

Cloud & Virtualization Engineer

Jorofy Private Limited

Cloud &amp; Hybrid Engineer Location: Dubai Employment Type: Full-TimeJob Summary: We are seeking a skilled and motivated Cloud &amp; Hybrid Engineer to design, implement, and manage cloud-based and hybrid IT infrastructure solutions. The ideal candidate will have hands-on experience with cloud platforms, on-premises systems, and integration between the two environments.Key Responsibilities:<ul><li>Design, deploy, and maintain cloud and hybrid infrastructure solutions</li><li>Manage and optimize cloud platforms (e.g., AWS, Azure, or Google Cloud)</li><li>Integrate on-premises systems with cloud environments</li><li>Monitor system performance, security, and availability</li><li>Implement backup, disaster recovery, and business continuity plans</li><li>Automate deployment and configuration using tools like Terraform, Ansible, or similar</li><li>Ensure compliance with security policies and best practices</li><li>Troubleshoot infrastructure issues and provide technical support</li><li>Collaborate with cross-functional teams for system improvements</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, IT, or related field</li><li>5 years of experience in cloud and hybrid infrastructure</li><li>Strong knowledge of cloud platforms (AWS, Azure, or GCP)</li><li>Experience with virtualization (VMware/Hyper-V)</li><li>Familiarity with networking concepts (VPN, DNS, firewalls, load balancers)</li><li>Hands-on experience with scripting (PowerShell, Python, or Bash)</li><li>Knowledge of DevOps tools and CI/CD pipelines is a plus</li><li>Strong problem-solving and communication skills</li></ul>Preferred Qualifications:<ul><li>Cloud certifications (AWS Certified Solutions Architect, Microsoft Azure, etc.)</li><li>Experience with containerization (Docker, Kubernetes)</li><li>Understanding of security and compliance frameworks</li></ul>What We Offer:<ul><li>Competitive salary package</li><li>Career growth opportunities</li><li>Collaborative work environment</li><li>Training and certification support</li></ul>How to Apply: Interested candidates can send their CV to: careers@enums.coJob Type: Full-timeEducation:<ul><li>Bachelor's (Preferred)</li></ul>Work Location: In person

Cloud & Hybrid Engineer

Cygnify

<div>
 We're looking for a seasoned technologist who thrives in AI-enabled environments and understands how to amplify engineering output using modern AI tooling. You won't just manage projects; you will define how AI-driven digital excellence happens here; setting standards for prompt engineering, code generation workflows, automated QA, intelligent documentation, and continuous learning systems.
 
 
 You're a senior-level engineer with a wide-ranging technical toolkit and a strong bias toward leveraging AI to increase velocity and quality. You've built and shipped products, integrated AI into real delivery pipelines, and know how to move from concept to production under pressure. You're comfortable orchestrating AI copilots, designing human-in-the-loop systems, and embedding automation across the SDLC.
 
 
 You're also client-savvy. You can lead conversations, uncover needs, manage stakeholders, and translate business objectives into technical and AI-enabled delivery strategies. You understand how to position AI not as hype, but as a pragmatic accelerator - reducing time to value, improving quality, and unlocking new solution spaces.
 
 
 You thrive in fast-paced environments where agility, experimentation, and initiative are essential; and where AI is a core multiplier of team performance.
 
 
 
 What You Will Do
 
 
 
 ❖ Architect and build scalable, innovative software solutions; internally and for clients
 
 
 ❖ Lead engagements with clients, acting as both a trusted advisor and technical owner
 
 
 ❖ Rapidly prototype, iterate, and validate solutions using modern technologies
 
 
 ❖ Balance short-term deliverables with long-term vision for scalable systems
 
 
 ❖ Work across cross-functional teams to align product goals, timelines, and execution
 
 
 ❖ Mentor junior engineers and contribute to growing a culture of technical excellence
 
 
 ❖ Evaluate new technologies to be implemented at scale for citizen impact
 
 
 ❖ Embed AI-native development workflows across the SDLC, leveraging AI copilots, code generation, automated test creation, and intelligent documentation to increase velocity and quality
 
 
 ❖ Design and operationalize AI-assisted engineering practices, including prompt engineering standards, human-in-the-loop review processes, and continuous model evaluation to ensure secure, scalable, and production-ready delivery
 
 
 
 Requirements
 
 
 
 OUR CORE TECH STACK (Flexible)
 
 
 ❖ Backend: C# / .NET / Python
 
 
 ❖ Frontend: React / Next.js
 
 
 ❖ Database: MSSQL, Postgres, Elasticsearch, MongoDB
 
 
 ❖ Cloud: Azure or Google
 
 
 ❖ Dev Tools: Git, CI/CD pipelines, Docker, Terraform, Ansible
 
 
 ❖ ML/AI: Langchain, LangGraph, N8n, scikit-learn, Ollama, Claude Code
 
 
 
 What You'll Bring
 
 
 
 ❖ 6+ years of professional software engineering experience
 
 
 ❖ Expertise with C# and .NET Core, including building APIs and backend systems
 
 
 ❖ Proficiency in React and/or Next.js for modern frontend development
 
 
 ❖ Experience working with cloud services (Azure, AWS, or GCP)
 
 
 ❖ Strong communication and client management skills; comfortable owning technical delivery in client settings
 
 
 ❖ A passion for learning and working with emerging technologies
 
 
 ❖ Ability to work independently in fast-paced, dynamic environments
 
 
 ❖ Knowledge on how to integrate AI agentic development workflows to strong engineering practices
 
 
 
 Bonus Points For
 
 
 
 ❖ Prior consulting, agency, or client-facing experience
 
 
 ❖ Experience designing cloud-native architectures and using infrastructure-as-code tools
 
 
 ❖ Open-source contributions or published technical content
 
 
 ❖ Familiarity with data science workflows or machine learning integration
 
 
 
 What We Value
 
 
 
 ❖ Curiosity and action: You take initiative and explore new ideas
 
 
 ❖ Empathy and clarity: You're a strong communicator and collaborator
 
 
 ❖ Delivery and impact: You're focused on outcomes, not just outputs
 
 
 ❖ Passion and adaptability: You bring energy, depth, and flexibility to your work
 
 
</div>

Senior Technology Innovation Engineer-Dubai, UAE

BlackStone eIT

<div>BlackStone eIT is seeking a talented and pragmatic AI Engineer (Applied) to join our dynamic team. In this role, you will focus on applying artificial intelligence techniques to solve real-world problems and deliver impactful solutions that drive business value. You will collaborate closely with product teams, data scientists, and software engineers to deploy AI models into production environments and continuously improve their performance.
The ideal candidate has hands-on experience with end-to-end AI system development and a strong focus on practical applications and scalability. You will work on diverse projects that require innovative AI solutions, from natural language processing to computer vision and predictive analytics.<ul><li>Data classification automation: implementing automated classification to remediate current failures, embedding classification into data pipelines alongside the Governance Lead</li><li>Operational AI agents: building production agents on top of the agentic platform &mdash; going beyond the sample agents the external partner delivers into real operational workflows</li><li>Agentic platform data contracts: defining what data the platform needs, in what format, with what quality guarantees &mdash; working with the Principal AI Engineer</li><li>AI service implementation: FastAPI service around LLM APIs with versioned prompt templates</li><li>Classification and briefing prompts: structured prompts returning validated JSON with tags, confidence levels, source attribution</li><li>Prompt versioning: templates in configuration, editable without code changes</li><li>Observability: every LLM call logged with input hash, model version, output, latency, token count</li><li>Fallback logic: graceful degradation when LLM APIs are unavailable</li><li>Quality evaluation: running precision/recall evaluations against human reviewer samples, reporting results, iterating prompts</li></ul> 
Requirements 
<ul><li>
5+ years of experience applying AI and machine learning techniques in a production environment.</li><li>
Strong proficiency in programming languages such as Python and familiarity with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.</li><li>
Experience with deploying and maintaining AI models at scale.</li><li>
Good understanding of data preprocessing, feature engineering, and model evaluation.</li><li>
Background in statistics, mathematics, or computer science.</li><li>
Ability to collaborate effectively with cross-functional teams and translate business needs into applied AI solutions.</li><li>
Excellent problem-solving skills and a practical, solution-oriented mindset.</li><li>
Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus.</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in a relevant field such as Computer Science, Data Science, or AI.</li><li><ul><li>LLM APIs (Claude, GPT-4, open-weight models) &mdash; structured output, JSON mode, system prompts</li><li>Prompt engineering for classification &mdash; zero-shot and few-shot</li><li>Python &mdash; async API calls, retry logic, exponential backoff</li><li>LLM evaluation &mdash; precision/recall, human-AI agreement scoring</li><li>Structured output &mdash; JSON schema enforcement, Pydantic validation</li><li>Open-weight / sovereign model APIs (Falcon, Llama, or equivalent)</li><li>Token budgeting and context window management</li><li>AI observability &mdash; output quality monitoring, anomaly detection</li><li>FastAPI and Docker</li></ul></li></ul> 

Benefits 
<ul>
<li>Paid Time Off</li>
<li>Performance Bonus</li>
<li>Training &amp; Development</li></ul></div>

AI Engineer (Applied)

Explore 1580+ Software engineer python cloud graduate level in Dubai this April. Find roles across top companies and apply now to boost your career.