it support engineer

quality engineer

systems engineer

ai engineer

applications engineer

ai security engineer

Oscar

<div>
 
 
 Role: AI Security Engineer
 
 
 
 
 Location: Doha, Qatar
 
 
 
 
 Salary: Negotiable (Tax Free) + Relocation Allowance
 
 
 
 
 
 
 
 Summary:
 
 
 
 
 
 
 Oscar Technology has partnered with a leading consultancy firm to recruit a specialist for an exciting two-year project based in Qatar. The successful candidate will play a key role in ensuring the security posture of the firm. A relocation package is available and can be negotiated.
 
 
 
 
 
 We need a technically focused AI Security Engineer with 5 years' hands‑on experience securing machine learning systems, LLM deployments, and data pipelines in enterprise environments. Deep expertise in adversarial ML, secure MLOps, model integrity, and privacy-preserving techniques. Proven record of designing production-safe inference services, automating adversarial testing, and reducing model exposure and data leakage risk.
 
 
 
 
 
 This is an excellent opportunity for someone looking to advance their career with a major Qatari firm while enjoying tax-free earnings. Salary is dependant on experience and negotiable.
 
 
 
 
 
 
 Technical expertise we are looking for:
 
 
 
 
 
 
 
 AI &amp; Automation:
 
 
 
 
 
 <ul>
 <li>
 Workflow Automation (Make.com, Zapier, n8n, MS Power Automate)
 </li>
 <li>
 AI Agents &amp; Chatbots (OpenAI, LangChain, Rasa, Dialogflow)
 </li>
 <li>
 Business Process Automation (RPA, API-Integration, SaaS Workflows)
 </li>
 <li>
 Generative AI &amp; LLMs (GPT, Prompt Engineering, Agentic Workflows)
 </li>
 </ul>
 
 
 
 
 
 Technologies &amp; Tools:
 
 
 
 
 
 <ul>
 <li>
 OpenAI API, LangChain, n8n, Make.com, Zapier
 </li>
 <li>
 MS Power Platform, Power Automate, SharePoint
 </li>
 <li>
 Docker, SQL, REST APIs, Postman, GitHub
 </li>
 <li>
 Confluence, JIRA, MS Project, Trello, Asana
 </li>
 </ul>
 
 
 
 
 
 Programming &amp; Test Automation:
 
 
 
 
 
 <ul>
 <li>
 Python, Java, C#, C/C++
 </li>
 <li>
 Test Automation (Pytest, Robot Framework, Playwright, Selenium)
 </li>
 <li>
 QA &amp; Test Management (Azure DevOps, CI/CD, Test Strategies)
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; Infrastructure:
 
 
 
 
 
 <ul>
 <li>
 Microsoft Azure (AI, Automation, Data Services)
 </li>
 <li>
 Amazon Web Services (AWS AI, Lambda, EC2)
 </li>
 <li>
 Cloud Integrations &amp; Deployment
 </li>
 <li>
 Consulting &amp; Project Management
 </li>
 <li>
 IT Project Management (Agile, Scrum, Kanban)
 </li>
 <li>
 Process Optimization &amp; Digital Transformation in SMEs
 </li>
 <li>
 Workshops, Trainings &amp; Coaching for AI Automation
 </li>
 <li>
 Stakeholder Management &amp; Change Management
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 
 
 
 <ul>
 <li>
 Intercultural Collaboration
 </li>
 <li>
 Structured &amp; Solution-Oriented Approach to Work
 </li>
 </ul>
 
 
 
 
 
 What you will be responsible for:
 
 
 
 
 
 <ul>
 <li>
 Model Security &amp; Hardening: adversarial training, gradient masking, model watermarking, integrity verification
 </li>
 <li>
 Privacy &amp; Data Protection: differential privacy, secure aggregation, federated learning, synthetic data
 </li>
 <li>
 MLOps &amp; Infrastructure: Kubernetes, Docker, MLflow, CI/CD for ML, Terraform, Vault
 </li>
 <li>
 Secure Deployment: encrypted inference, API gateway hardening, rate limiting, runtime monitors
 </li>
 <li>
 Threat Modeling &amp; Testing: ATT&amp;CK for ML mapping, red-team adversarial scenarios, prompt-injection testing
 </li>
 <li>
 Languages &amp; Frameworks: Python, Bash, Go, PyTorch, TensorFlow, Hugging Face Transformers, ONNX
 </li>
 <li>
 Cloud &amp; DevSecOps: AWS (SageMaker, ECR, IAM), Azure ML, GCP Vertex AI, GitHub Actions
 </li>
 <li>
 Monitoring &amp; Observability: Prometheus, Grafana, ELK Stack, model drift detection
 </li>
 </ul>
 
 
</div>

AI Security Engineer

Advanced Artificial Mind

DevOps / Cloud EngineerLocation: Qatar / Remote Department: ITResponsibilities:<ul><li>Maintain and optimize cloud environments on Render, AWS, GCP, and Azure.</li><li>Implement scaling, monitoring, and automation strategies for web and mobile applications.</li><li>Manage CI/CD pipelines using GitLab and self-hosted GitLab runners.</li><li>Ensure system security, reliability, and cost efficiency.</li><li>Collaborate with developers and AI teams to streamline deployment workflows.</li></ul>Requirements:<ul><li>Strong experience with cloud infrastructure management (AWS / GCP / Azure / Render).</li><li>Proficiency in GitLab CI/CD, Docker, and Kubernetes.</li><li>Knowledge of infrastructure as code (Terraform, Ansible).</li><li>Understanding of scalability, load balancing, and security best practices.</li><li>Experience managing self-hosted GitLab and DevOps automation tools.</li></ul>Why Join Us<ul><li>Be part of a fast-growing Qatari tech company building impactful digital products.</li><li>Work on real-world projects in AI, data, and software innovation.</li><li>Enjoy a flexible work environment.</li><li>Grow through continuous learning, mentorship, and certification support.</li></ul>Job Type: Full-time

DevOps / Cloud Engineer

THE STUDIO

<div>The Studio is part of Utopia Capital&rsquo;s integrated venture platform &mdash; combining AI-native venture building, capital, and shared infrastructure to help founders build faster and smarter. Every role here directly contributes to launching and scaling AI-native companies across the Global South, from idea to Series A.<h1 class="jobSectionHeader">
About The Studio</h1>
Utopia Studio is an AI-native venture builder for the Global South, backed by Qatar Development Bank. We work with domain experts across the GCC, Southeast Asia, and Africa to accelerate venture creation through AI-driven execution and shared infrastructure.
At the core is Utopia OS &mdash; a modular platform that automates what's repeatable, embeds AI agents across workflows, and lets learning compound across ventures.<h1 class="jobSectionHeader">
About the Role</h1>
We're looking for a founding product engineer to build the platform and infrastructure side of Utopia OS. You&rsquo;ll design, develop, and scale the shared systems, data pipelines, and full-stack applications that power dozens of AI-native ventures launching from Doha for the Global South.
You&rsquo;ll combine deep backend expertise with the ability to deliver seamless, data-driven web experiences that make AI-native venture building faster and smarter.
You will work as part of a product trio with the Design Lead and the Rapid Prototyping Engineer, making joint decisions on discovery, scope, and technical approach.
Reports to: Studio Director 
Growth path: Head of AI Platform / CTO track<h1 class="jobSectionHeader">
Responsibilities</h1><h3 class="jobSectionHeader">
Platform Engineering &amp; Infrastructure</h3><ul><li>
Architect, build, and maintain Utopia OS infrastructure: auth, data systems, deployment, monitoring, analytics</li><li>
Develop full-stack web apps and plugins for studio-wide decisioning and analytics</li><li>
Build and maintain data pipelines for ingestion, transformation, and deployment across all ventures</li><li>
Develop and maintain robust backend systems and APIs, integrating modern databases (Postgres, Supabase, PlanetScale) and data architectures (Iceberg, Delta Lake).</li><li>
Implement data pipelines and transformation workflows (Dagster, Airflow) to enable real-time analytics across ventures.</li><li>
Create clear, reusable documentation and internal tooling to standardize engineering practices across the platform.</li><li>
Take early-stage products and harden them for scale, reliability, and compliance.</li><li>
Collaborate with design and product teams to translate data and infrastructure capabilities into intuitive user experiences and venture-facing tools.</li><li>
Implement CI/CD, observability, and security frameworks across the portfolio</li><li>
Design deployment templates for multi-tenant environments and enterprise integrations</li></ul><h3 class="jobSectionHeader">
Collaboration &amp; Engineering Excellence</h3><ul><li>
Work closely with venture teams to integrate AI workflows and shared infrastructure</li><li>
Improve developer experience through modern, intuitive tool design</li><li>
Provide technical guidance and mentorship to engineers and fellows &mdash; fostering a culture of learning, experimentation, and shared standards across the Studio.</li><li>
Document architecture, standards, and playbooks so they can be reused across the studio</li><li>
Communicate complex technical concepts clearly to both engineering and non-technical stakeholders &mdash; turning systems thinking into shared understanding.</li><li>
Stay current with advances in generative AI, data infrastructure, and modern web engineering</li><li>
Work in a tight loop with the Design Lead on design system needs and with the Rapid Prototyping Engineer to productionize validated prototypes into secure, scalable services.</li><li>
Co-own technical discovery with the product trio: define evaluation plans, success metrics, and risks before committing to builds.</li><li>
You&rsquo;ll also help the team build shared capabilities typically owned by dedicated functions &mdash; like LLMOps, Data Engineering, and Security &mdash; but in a lean, integrated way.</li><li>
That means establishing lightweight evaluation pipelines, data ingestion templates, and security practices that can scale across multiple ventures without extra overhead.</li><li>
These foundations will later evolve into formalized systems as Utopia grows.</li><li>
We operate as a compact, AI-native core team &mdash; covering product, design, and engineering end-to-end.</li><li>
Each of us contributes to early foundations in areas like evaluation, data, research, and security, ensuring the platform scales responsibly without added layers or headcount.</li></ul><h1 class="jobSectionHeader">
Experience &amp; Skills</h1><ul><li>
Bachelor's or Master's in Computer Science, Software Engineering, or related field</li><li>
4&ndash;8 years in full-stack and backend development (startup or AI context preferred)</li><li>
Strong with modern frameworks (React, Vue, Angular, Next.js, SvelteKit) and backend systems (Postgres, Supabase, PlanetScale)</li><li>
Experience with data pipelines (Dagster, Airflow) and modern data lakes (Iceberg, Delta Lake)</li><li>
Experience designing data-driven applications &mdash; integrating analytics and visualization into user-facing tools.</li><li>
Comfortable with cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, and CI/CD pipelines</li><li>
Strong documentation and communication skills &mdash; you can explain complex systems clearly</li></ul><h3 class="jobSectionHeader">
Technical Foundations</h3><ul><li>
Strong in full-stack development, with expertise in at least one modern front-end framework (React, Svelte, Vue, Angular, or Next.js)</li><li>
Experienced with backend systems, data pipelines, and cloud infrastructure (Postgres, Supabase, AWS, Docker, Kubernetes)</li><li>
Comfortable developing and deploying in hybrid environments, with CI/CD, monitoring, and observability best practices</li><li>
Familiar with data lake architectures (Delta Lake, Iceberg) and workflow orchestration tools (Airflow, Dagster)</li></ul><h1 class="jobSectionHeader">
Impact &amp; Success Metrics</h1><ul><li>
Accelerate venture build cycles through reusable systems and faster deployment</li><li>
Improve infrastructure reliability and security across ventures</li><li>
Reduce duplication and increase code reuse across the Studio platform</li><li>
Enable measurable improvements in venture launch speed, uptime, and developer experience</li></ul><h1 class="jobSectionHeader">
Mindset &amp; Values</h1><ul><li>
Systems + Empathy: You balance deep backend expertise with product intuition and user empathy.</li><li>
AI as collaborator: You build infrastructure that learns, adapts, and improves through automation and AI augmentation.</li><li>
Outcome focus: You optimize for speed, reliability, and measurable business value across all ventures.</li><li>
Continuous learning: You're always exploring new frameworks, architectures, and AI tools that make engineering smarter and more efficient.</li></ul><h1 class="jobSectionHeader"> 
</h1><h1 class="jobSectionHeader">What You Can Expect</h1><ul><li>
Meaningful Impact: Your work directly contributes to building the core infrastructure behind a new generation of ventures - enabling equitable, AI-native innovation across the Global South.</li><li>
Collaborative Culture: We thrive on openness, curiosity, and collective intelligence. Everyone has a voice, and decisions are made transparently.</li><li>
Growth Mindset: From AI learning and use budgets to mentorship, we invest in your development and help you grow beyond your comfort zone.</li><li>
Competitive Rewards: Tax-free compensation, private health and travel insurance, and a benefits package designed for both security and flexibility.</li><li>
Wellbeing First: Generous PTO, flexible hybrid setup, and wellness programs to help you stay balanced.</li><li>
Work-Life Integration: Office lunches twice a week, great snacks, and team meetups that keep energy and connection high.</li><li>
Global Exposure: Occasional travel across Southeast Asia, Africa, and the Middle East for meaningful, on-ground collaboration with venture teams.</li><li>
Inclusive by Design: We celebrate diversity and are committed to building an environment where everyone belongs.</li></ul><h1 class="jobSectionHeader">
Why This Role Matters</h1>
You'll be building the operating system for AI-native venture creation &mdash; the foundation that founders across the Global South will use to build the next generation of companies.
Your work will power Utopia OS and enable innovation aligned with Qatar's Vision 2030 for a digital, knowledge-based economy.
Your work will accelerate venture build time and reduce technical duplication across the Studio &mdash; measurable through faster deployment cycles, improved reliability, and reusable systems.<h1 class="jobSectionHeader">
Who This Role Isn&rsquo;t Right For</h1>
If you prefer working in rigid environments, or need fully defined specs before shipping, this may not be the right fit.
We move fast, operate with high trust, and expect engineers to take ownership from architecture through to production.<h1 class="jobSectionHeader">
The Utopia Platform Advantage</h1>
The Studio is part of Utopia Capital&rsquo;s integrated venture platform designed to solve the biggest friction points in emerging market venture creation.
Most founders face a broken journey: they struggle to build with limited resources, chase capital across disconnected investors, and lack the infrastructure to scale across regions. We've built a different system.
The Studio co-builds ventures with domain experts using AI-native infrastructure, compressing the path from concept to product. The Radical Fund and A-typical Ventures provide fast, aligned capital from pre-seed through Series A, removing fundraising friction at every stage. And Utopia OS &mdash; our shared technical backbone &mdash; gives every venture access to the same tools, data systems, and regional networks that would normally take years and millions to build.
This means founders can focus on solving real problems while we handle the build infrastructure, capital coordination, and cross-regional expansion. It's a compounding system: each venture we build makes the next one faster, smarter, and more capital-efficient. That's the platform advantage that you will be part of and contribute to, purpose-built for the complexity of the Global South.
We believe innovation should be inclusive and globally distributed. Our team is built on openness, curiosity, and collaboration &mdash; with people from across the GCC, Africa, and Southeast Asia working together to build meaningful ventures.
All roles are based in Doha, Qatar, with flexible hybrid options and global travel opportunities. We welcome talent from every background to join us in shaping the future of AI-native innovation.
Compensation Range: $80K - $120K</div>

Founding Product Engineer — Venture Platform & Infrastructure

COZMALABS

We are looking for an experienced&#8239; Data Engineer&#8239;to join our team full-time. This role requires a strong background in building and optimizing data pipelines, with a focus on supporting AI-driven solutions. The candidate will work closely with software engineers to ensure reliable data flows for AI models and contribute to cloud-based data integration using Microsoft Azure.Key Responsibilities:<ul><li>Design, develop, and maintain scalable data pipelines and ETL processes to support AI-driven projects</li><li>Build and optimize data infrastructure to ensure efficient data management, processing, and storage in cloud environments (Azure)</li><li>Collaborate with AI engineers to facilitate data preparation for machine learning models and AI solutions</li><li>Ensure data pipelines are secure, reliable, and meet performance standards</li><li>Monitor and troubleshoot data pipeline performance to ensure timely and accurate data delivery</li><li>Implement data governance policies and ensure compliance with data security standards</li></ul>Required Qualifications:<ul><li>Proven experience as a Data Engineer, with a focus on building and maintaining complex data pipelines for AI projects</li><li>Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB)</li><li>Expertise in cloud-based data solutions, specifically Microsoft Azure (e.g., Azure Data Factory, Azure Synapse, Azure Databricks)</li><li>Experience with data integration tools and ETL frameworks (e.g., Apache Airflow)</li><li>Proficiency in at least one programming language for data manipulation (e.g., Python)</li><li>Knowledge of data warehousing solutions and best practices</li><li>Experience in working with data pipelines for AI or machine learning workflows</li><li>Strong problem-solving and analytical skills</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field</li><li>Proficiency in English (written and spoken)</li></ul>Desirable Qualifications:<ul><li>Familiarity with machine learning models and data preprocessing for AI solutions</li><li>Knowledge of containerization tools (Docker, Kubernetes) for data pipeline deployments</li></ul>Job Type: Full-time

Data Engineer

Bitrion

<div>
 
 Bitrion is a cutting edge technology company, specializing in advanced IP network infrastructure, and unified communications and Security .
 
 
 
 
 
 We deliver end-to-end solutions including Core IP network design, VoIP and PBX systems, high-traffic network optimization, and 24/7 monitoring through our dedicated IPSWAT service.
 
 
 We empower businesses with reliable inter-branch connectivity, robust security frameworks, and expert consulting to support sustainable growth and digital resilience and AI .
 
 
 
 
 
 We&rsquo;re looking for a smart, reliable Technical Executive Assistant to support the founder in managing daily operations &amp; coordinating technical tasks .
 
 
 
 
 
 ----------------------------------------------
 
 
 We are seeking a Technical Executive with an (IT background ) ,someone who understands concepts such as IP, Networks, Firewalls, and IP telephony.
 
 
 We are not seeking a pure Network or Computer Engineer without management or coordination skills.
 
 
 If you lack these abilities, please do not apply.
 
 
 ----------------------------------------------
 
 
 
 
 
 🔧 Key Responsibilities:
 
 <ul>
 <li>
 A sharp, quick-thinking professional who will serve as the right hand to the General Manager and play a key role in the company&rsquo;s operations.
 </li>
 <li>
 Assist in organizing and following up on daily tasks and technical operations .
 </li>
 <li>
 Support hiring efforts (e.g., researching and contacting developers or engineers).
 </li>
 <li>
 Communicate with clients, vendors, and team members on behalf of the founder.
 </li>
 <li>
 Prepare and maintain reports, documentation, and schedules.
 </li>
 <li>
 Handle admin tasks, coordinate appointments, and follow through on action items.
 </li>
 <li>
 Translate high-level ideas into structured tasks and workflows.
 </li>
 </ul>
 
 
 
 
 ✅ Requirements:
 
 <ul>
 <li>
 Strong tactical and managerial skills
 </li>
 <li>
 Basic understanding of IT business including IP networks, VoIP systems &amp;Security .
 </li>
 <li>
 Strong organizational, time-management, and multitasking skills.
 </li>
 <li>
 Excellent written and spoken English
 </li>
 <li>
 Proficiency with productivity tools like Google Workspace, Excel, or task managers (e.g., ClickUp, Notion).
 </li>
 <li>
 A self-starter with high reliability and attention to detail.
 </li>
 </ul>
 
 
 
 
 🎁 What We Offer:
 
 <ul>
 <li>
 Competitive starting salary based on experience.
 </li>
 <li>
 Opportunity for fast career growth as the company expands.
 </li>
 <li>
 We offer a performance based percentage tied to achievements and successes.
 </li>
 </ul>
 
 
 
 
 We prefer candidates with academic backgrounds in one of the following fields:
 
 <ul>
 <li>
 Computer Engineering
 </li>
 <li>
 Information Technology (IT)
 </li>
 <li>
 Computer Science
 </li>
 <li>
 Telecommunications Engineering
 </li>
 <li>
 Information Systems
 </li>
 <li>
 Cybersecurity / Information Security
 </li>
 <li>
 Communication and Computer Engineering
 </li>
 </ul>
 
 
 
 
 The following certifications are highly valued:
 
 <ul>
 <li>
 Cisco CCNA / CCNP (Enterprise or Collaboration)
 </li>
 <li>
 Red Hat Certified Engineer (RHCE)
 </li>
 <li>
 FreePBX / Asterisk Certification
 </li>
 <li>
 ITIL 4 Foundation
 </li>
 <li>
 PMP (Project Management Professional)
 </li>
 <li>
 Mini-MBA in Technology Management
 </li>
 </ul>
 
 
 
 
 ✅ Job Application:
 
 
 Please send your CV to --&gt; jobs@bitrion.com
 
 
 
 
 
 Bitrion LLC
 
 <ul>
 <li>
 https://Bitrion.com
 </li>
 </ul>
</div>

Administrative Assistant with Technological Experience

AI Solutions Engineer / Data Scientist / Machine Learning EngineerLocation: Qatar Department: ITResponsibilities:<ul><li>Develop and deploy custom AI models &mdash; particularly in Arabic NLP, document classification, and chatbots.</li><li>Work on data preprocessing, training, and fine-tuning large language models.</li><li>Build APIs or applications integrating AI capabilities into client systems.</li><li>Collaborate with cross-functional teams to define problem statements and evaluate solutions.</li></ul>Requirements:<ul><li>Experience with Python, TensorFlow / PyTorch, Hugging Face, or similar frameworks.</li><li>Familiarity with n8n workflows.</li><li>Knowledge of Arabic language processing and text analytics.</li><li>Strong problem-solving and research skills.</li><li>Familiarity with deploying AI models in cloud environments (Azure, AWS, GCP).</li></ul>Job Type: Full-time

AI Solutions Engineer / Data Scientist / Machine Learning Engineer

<div>The Studio is part of Utopia Capital&rsquo;s integrated venture platform &mdash; combining AI-native venture building, capital, and shared infrastructure to help founders build faster and smarter. Every role here directly contributes to launching and scaling AI-native companies across the Global South, from idea to Series A.<h1 class="jobSectionHeader">
About The Studio</h1>
The Studio is an AI-native venture builder for the Global South, purpose-built to transform high-barrier problems into scalable, investable companies.
Partnering with domain experts &amp; high-agency founders from concept to Series A, it both builds new ventures and re-engineers existing ones for AI-driven growth.
Powered by UTOPIA OS &mdash; a modular, adaptive stack tailored to each venture &mdash; it compresses the path from concept to Series A to under 24 months.<h3 class="jobSectionHeader">
About the Role</h3>
We're looking for an AI-native product engineer who can bridge engineering, product, and design. You&rsquo;ll take a domain expert&rsquo;s insight and turn it into working AI solutions that people actually want to use.
You&rsquo;ll own the early build cycle: prototype fast, test with real users, and iterate quickly. You&rsquo;ll be building with AI, not just using it &mdash; orchestrating agents, automation, and smart workflows to create real value in days instead of months.
This is a founding role, working directly in venture pods to shape how we build the next generation of AI companies from Doha to the Global South.
You will operate as part of a product trio with the Design Lead and the Platform &amp; Infrastructure Engineer, aligning on user insights, prototype scope, and technical feasibility.
Reports to: Studio Directors 
Growth path: Head of Product / CTO track<h1 class="jobSectionHeader">
Responsibilities</h1><h3 class="jobSectionHeader">
Rapid Prototyping &amp; Product Engineering</h3><ul><li>
Design, build, and ship end-to-end AI prototypes using modern tools (Python, FastAPI, LangChain, vector databases, Next.js, etc.)</li><li>
Integrate AI systems &mdash; LLMs, autonomous agents, workflow automation &mdash; to make things faster, smarter, and more useful</li><li>
Take messy real-world workflows and turn them into clean data models and automated processes</li><li>
Work directly with our Entrepreneurs-in-Residence (EIRs) to turn their pain points into working pilots</li><li>
Test continuously with users, gather feedback, and improve based on what actually matters</li><li>
Collaborate with design, growth, and product teams to build things that are both powerful and easy to use</li><li>
Share what you learn and build reusable components for Utopia OS so future ventures can move even faster</li><li>
Pair with the Design Lead for rapid user tests and with the Platform &amp; Infrastructure Engineer to harden successful prototypes into reusable Utopia OS components.</li><li>
Beyond core prototyping, you&rsquo;ll also contribute to early foundations in areas like AI evaluation, lightweight data pipelines, and experimentation metrics &mdash; functions that would later mature into dedicated LLMOps or DataOps tracks.</li><li>
You&rsquo;ll keep things pragmatic: integrating feedback loops, telemetry, and simple eval metrics into prototypes so learning compounds across ventures.</li></ul><h3 class="jobSectionHeader">
Collaboration &amp; Continuous Learning</h3><ul><li>
Partner closely with founders, engineers, and designers in multi-disciplinary pods</li><li>
Document prototypes and learnings to improve speed and quality across ventures</li><li>
Stay current with advances in AI frameworks, agent systems, and workflow automation</li><li>
Contribute to building the studio&rsquo;s shared prototyping frameworks, making each new venture faster than the last</li><li>
We operate as a compact, AI-native core team &mdash; covering product, design, and engineering end-to-end.</li><li>
Each of us contributes to early foundations in areas like evaluation, data, research, and security, ensuring the platform scales responsibly without added layers or headcount.</li></ul><h1 class="jobSectionHeader">
Impact &amp; Success Metrics</h1><ul><li>
Prototypes that convert into signed pilots or letters of intent</li><li>
Shorter validation cycles &mdash; measurable reduction in time from idea to proof of value</li><li>
Reusable components and frameworks integrated into Utopia OS</li><li>
Founders and EIRs equipped with practical tools and repeatable prototyping processes</li></ul><h1 class="jobSectionHeader">
Mindset &amp; Values</h1><ul><li>
Outcome-driven: You focus on solving problems and creating user value, not feature lists.</li><li>
AI as amplifier: You use AI to boost creativity and speed, not replace thinking.</li><li>
Cross-disciplinary: You move easily between code, UX, and product thinking, balancing speed with empathy.</li><li>
Continuous learner: You evolve as AI evolves, experimenting with new models, agents, and frameworks.</li></ul><h1 class="jobSectionHeader">
What Success Looks Like</h1><ul><li>
Prototypes that turn into signed pilots or letters of intent</li><li>
A repeatable prototyping process that works across multiple ventures</li><li>
Faster validation cycles &mdash; measurable reduction in the time from idea to proof of value</li><li>
Founders and EIRs equipped with frameworks they can actually use to build AI-native products</li></ul><h1 class="jobSectionHeader">
Experience &amp; Skills</h1><ul><li>
5+ years in software or product engineering (startup, SaaS, or applied AI experience preferred)</li><li>
You've shipped AI-native products end-to-end &mdash; backend, frontend, UX, the whole thing</li><li>
Experience building with LLMs, embeddings, agentic frameworks, or autonomous AI systems</li><li>
Strong Python skills and comfortable with a modern JS framework (React, Next.js, SvelteKit, etc.)</li><li>
Familiarity with vector databases, semantic search, and data orchestration</li><li>
Collaborative mindset &mdash; you work well with non-technical founders and industry experts</li><li>
Pragmatic and outcome-oriented. You learn fast, adapt quickly, and ship often.</li></ul><h1 class="jobSectionHeader">
Why This Role Matters</h1>
This is a rare chance to help define what AI-native product engineering means &mdash; where builders use AI as a creative partner to shape, test, and evolve real ventures.
You&rsquo;ll build actual products with industry insiders, watch your code turn into funded companies, and help shape the future of AI-driven innovation coming out of Doha.
Your work aligns with Qatar&rsquo;s Vision 2030 to build a knowledge-based, innovation-led economy with global reach.<h1 class="jobSectionHeader">
Who This Role Isn&rsquo;t Right For</h1>
If you prefer defined specs or rigid processes, this may not be the right fit.
We move fast, experiment constantly, and expect engineers to own the product from prototype to pilot.<h3 class="jobSectionHeader"> 
</h3><h1 class="jobSectionHeader">What You Can Expect</h1><ul><li>
Meaningful Impact: Your work directly contributes to building the core infrastructure behind a new generation of ventures - enabling equitable, AI-native innovation across the Global South.</li><li>
Collaborative Culture: We thrive on openness, curiosity, and collective intelligence. Everyone has a voice, and decisions are made transparently.</li><li>
Growth Mindset: From AI learning and use budgets to mentorship, we invest in your development and help you grow beyond your comfort zone.</li><li>
Competitive Rewards: Tax-free compensation, private health, travel insurance and flexible hybrid setup.</li><li>
Work-Life Integration: Office lunches twice a week, great snacks, and team meetups that keep energy and connection high.</li><li>
Global Exposure: Occasional travel across Southeast Asia, Africa, and the Middle East for meaningful, on-ground collaboration with venture teams.</li><li>
Inclusive by Design: We celebrate diversity and are committed to building an environment where everyone belongs.</li></ul><h1 class="jobSectionHeader">
The Utopia Platform Advantage</h1>
The Studio is part of Utopia Capital&rsquo;s integrated venture platform designed to solve the biggest friction points in emerging market venture creation.
Most founders face a broken journey: they struggle to build with limited resources, chase capital across disconnected investors, and lack the infrastructure to scale across regions. We've built a different system.
The Studio co-builds ventures with domain experts using AI-native infrastructure, compressing the path from concept to product. The Radical Fund and A-typical Ventures provide fast, aligned capital from pre-seed through Series A, removing fundraising friction at every stage. And Utopia OS &mdash; our shared technical backbone &mdash; gives every venture access to the same tools, data systems, and regional networks that would normally take years and millions to build.
This means founders can focus on solving real problems while we handle the build infrastructure, capital coordination, and cross-regional expansion. It's a compounding system: each venture we build makes the next one faster, smarter, and more capital-efficient. That's the platform advantage that you will be part of and contribute to, purpose-built for the complexity of the Global South.
We believe innovation should be inclusive and globally distributed. Our team is built on openness, curiosity, and collaboration &mdash; with people from across the GCC, Africa, and Southeast Asia working together to build meaningful ventures.
All roles are based in Doha, Qatar, with flexible hybrid options and global travel opportunities. We welcome talent from every background to join us in shaping the future of AI-native innovation.
Compensation Range: $80K - $120K</div>

Founding Product Engineer — Rapid Prototyping

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