director of engineering

system engineer

ai engineer

associate field engineer

automation engineer

full stack engineering associate manager

Accenture

<div>We are looking for a client-facing Full Stack Engineering Associate Manager to lead engineering workstreams for an enterprise platform covering integration, workflow, microservices, web, mobile, and cloud technologies.
Key Responsibilities<ul><li>
Lead development workstreams across frontend, backend, APIs, integration, BPM, or mobile.</li><li>
Work with client stakeholders to clarify requirements, resolve technical issues, and communicate progress.</li><li>
Support solution design, estimation, sprint planning, release management, and delivery tracking.</li><li>
Review code, APIs, integration flows, application designs, and deployment configurations.</li><li>
Ensure adherence to quality, security, performance, testing, and DevSecOps standards.</li><li>
Mentor developers and support incident resolution and root-cause analysis.</li><li>
Drive AI-assisted engineering across requirements, development, testing, code review, documentation, and DevSecOps, with appropriate quality, security, and governance controls.</li></ul></div>
 
<div>Required Skills<ul><li>
6&ndash;7+ years in software engineering with team or workstream leadership experience.</li><li>
Strong full-stack background covering frontend, backend, APIs, databases, and cloud deployment.</li><li>
Understanding of microservices, integration patterns, BPM, CI/CD, containers, and automated testing.</li><li>
Experience with Azure, OCI, AWS, or equivalent platforms.</li><li>
Strong communication, troubleshooting, and client-facing skills.</li><li>
Practical understanding of AI-enabled software engineering tools and their application across the full software development lifecycle.</li></ul> 
Preferred<ul><li>
Experience with MuleSoft, Camunda, Next.js, React, Azure, and OCI.</li><li>
Arabic language skills and Middle East delivery experience are advantageous.</li></ul></div>

Full Stack Engineering Associate Manager

<div>We are looking for a client-facing Full Stack Engineering Manager to lead the delivery of a large enterprise digital platform covering integration, workflow, microservices, web, mobile, and cloud infrastructure.
Key Responsibilities<ul><li>
Lead multidisciplinary engineering teams across frontend, backend, integration, BPM, mobile, DevOps, and cloud.</li><li>
Engage with client stakeholders and translate requirements into technical solutions and delivery plans.</li><li>
Provide technical oversight across APIs, microservices, workflows, application architecture, security, performance, and deployment.</li><li>
Manage engineering quality, delivery risks, dependencies, releases, and production readiness.</li><li>
Drive Agile, DevSecOps, CI/CD, automated testing, observability, and engineering governance.</li><li>
Mentor engineering leads and coordinate with architects, product owners, testing teams, and infrastructure teams.</li><li>
Drive AI-assisted engineering across requirements, development, testing, code review, documentation, and DevSecOps, with appropriate quality, security, and governance controls.</li></ul></div>
 
<div>Required Skills<ul><li>
10+ years in software engineering with experience leading enterprise platform delivery.</li><li>
Strong understanding of full-stack development, microservices, APIs, cloud-native architecture, BPM, integration, and DevSecOps.</li><li>
Experience with Azure, OCI, AWS, or equivalent cloud platforms.</li><li>
Strong client management, communication, presentation, and problem-solving skills.</li><li>
Experience managing distributed engineering teams.</li><li>
Practical understanding of AI-enabled software engineering tools and their application across the full software development lifecycle.</li></ul>
Preferred<ul><li>
Experience with MuleSoft, Camunda, Next.js, React, Azure, and OCI.</li><li>
Arabic language skills and Middle East delivery experience are advantageous.</li></ul></div>

Full Stack Engineering Manager

Mindstream

Mind Stream is seeking a Full Stack Developer to design, develop, test, and maintain scalable full-stack web applications for an enterprise AI &amp; Data Engineering program. In this role, you will work alongside data scientists and architects to build high-performance, data-driven web applications.Responsibilities:- Design, develop, test, and maintain scalable full-stack web applications for an enterprise AI &amp; Data Engineering program.- Build responsive, accessible user interfaces using React.js.- Develop and integrate RESTful APIs using Node.js and Express.js.- Containerize applications using Docker and support deployments on OpenShift or Kubernetes.- Collaborate with cross-functional teams, including UI/UX designers and data scientists.- Write clean, maintainable, and testable code adhering to Agile methodologies.Requirements:- Proven expertise in React.js, Node.js, Express.js, and JavaScript.- Strong skills in HTML5, CSS3, and Responsive Web Design.- Experience with RESTful API development and consumption.- Proficiency with Docker and Git version control.- Experience working within Agile development environments.Experience: 6-12 yearsLocation: Dhahran, Saudi ArabiaApply through Mind Stream https://dtire.ddimtalentintelligence.com/apply/x7a34s5t23jyWork Location: In person

Full Stack Developer - Enterprise AI & Data Engineering - Dhahran, KSA

Dautom

<div>
 
 
 Client Introduction:
 
 
 
 In this role, you will collaborate closely with one of our esteemed clients&mdash;a globally recognized leader in their industry, distinguished by their commitment to excellence, innovation, and delivering exceptional value. As a trusted IT consulting partner,
 
 Dautom
 
 is supporting their strategic initiatives by connecting them with exceptional talent to drive business growth and transformation.
 
 
 
 
 
 We are looking for an experienced
 
 Technical Lead / Senior Full Stack Engineering Lead
 
 who can lead engineering teams and work on scalable, cloud-based applications.
 
 
 
 
 <ul>
 <li>
 
 Job Role:
 
 Full Stack Technical Lead
 </li>
 <li>
 
 Work Location:
 
 Qatar
 </li>
 <li>
 
 Employment Type:
 
 3-6 months extendable
 </li>
 <li>
 
 Notice period:
 
 30 days maximum
 </li>
 </ul>
 
 
 
 
 
 🔹 Technical Skills
 
 
 
 
 
 
 
 Full Stack Development
 
 
 <ul>
 <li>
 Node.js, JavaScript, TypeScript, Python
 </li>
 <li>
 React and Next.js
 </li>
 <li>
 REST APIs, GraphQL and event-driven architecture
 </li>
 <li>
 Microservices and modular architecture
 </li>
 <li>
 SQL &amp; NoSQL databases
 </li>
 <li>
 Data modelling and query optimisation
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; DevOps
 
 
 <ul>
 <li>
 CI/CD: GitHub Actions, GitLab CI or Azure DevOps
 </li>
 <li>
 Infrastructure-as-Code: Terraform or Pulumi
 </li>
 <li>
 Docker &amp; Kubernetes
 </li>
 <li>
 Blue-green and canary deployment strategies
 </li>
 <li>
 Strong expertise in
 
 AWS, Azure or GCP
 
 </li>
 <li>
 Working knowledge of the other major cloud platforms
 </li>
 </ul>
 
 
 
 
 
 Observability &amp; Reliability
 
 
 <ul>
 <li>
 Logging, metrics and distributed tracing
 </li>
 <li>
 Alerting and monitoring
 </li>
 <li>
 SLOs and service reliability
 </li>
 <li>
 Incident management and production support
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 10+ years engineering, including 3+ years leading teams
 </li>
 <li>
 Client-facing or consulting delivery experience preferred
 </li>
 <li>
 Exposure to regulated or government-sector engagements is a plus
 </li>
 <li>
 Pre-sales exposure: solutioning, estimation, proposal support
 </li>
 </ul>
 
 
 
 
 If this opportunity aligns with your expertise and career aspirations, we invite you to share your updated resume at
 
 shaloo.rani@dautom.com
 
 .
 
 
 
 
 
 Our team will be pleased to connect with suitable candidates for further discussions.
 
 
 
 
 
 
 About Dautom
 
 
 
 Dautom is a globally recognized IT consulting and technology services organization committed to enabling digital transformation through innovation, expertise, and a people-centric approach.
 
 
 We partner with leading organizations across industries to accelerate business growth by delivering exceptional talent, strategic IT consulting services, and innovative technology solutions. With a strong global presence and deep industry expertise, Dautom empowers businesses to enhance operational excellence, embrace digital evolution, and achieve sustainable success.
 
</div>

Full Stack Technical Lead

Thaura AI

<div>We&rsquo;re looking for a mission-driven Operations Manager who acts as the backbone of our fast-moving startup.

You&rsquo;ll be blending executive support, strategic partnerships, and day-to-day ops to help us build ethical tech infrastructure.
<h2 class="jobSectionHeader">
Tasks</h2>

Administrative &amp; Operational:
<ul>
<li>Administrative Processes: Draft, edit, and organize documents and handle registrations, applications, and other processes.</li>
<li>Process Improvement: Identify bottlenecks in how we work and fix them. Whether it&rsquo;s streamlining a workflow or setting up a simple automation tool, you&rsquo;ll make our lives easier.</li>
<li>Founder Enablement: Manage calendars, travel, and inbox triage so the founders can focus on product and strategy. Think of yourself as their right hand.</li>
<li>Financial Administration: Assist with financial administration, including invoice tracking and expense reporting.</li>
<li>Project Flexibility: Jump in wherever needed - whether it&rsquo;s drafting a document, organizing a team retreat, or handling a special project.</li>
</ul>
Strategic Partnerships:
<ul>
<li>Partnership Relations: Scout for new collaborations while maintaining strong ties with existing partners, vendors and our legal team. You&rsquo;ll be the friendly face of Thaura in emails and calls.</li>
<li>External Representation: Occasionally represent Thaura in external meetings or events.</li>
</ul>
Customer Success &amp; Insights
<ul>
<li>Customer Success: Serve as the primary point of contact for customer inquiries, acting as the voice of Thaura.</li>
<li>Data Insights: Analyze data to provide actionable insights to our product and engineering teams. Help us understand why people love (or struggle with) Thaura.</li>
</ul><h2 class="jobSectionHeader">Requirements</h2>
<ul><li>Mission-Driven Above All: You're not just looking for a job - you're looking for a cause. You believe technology should serve people, not exploit them, and you want to help us build the ethical infrastructure that proves it&rsquo;s possible.</li>
<li>Warm Communicator: You communicate clearly, warmly and with frank simplicity. No corporate fluff - just honest and straightforward. You represent Thaura&rsquo;s values in every interaction.</li>
<li>Tech-Savvy: You&rsquo;re comfortable learning new tools quickly. You enjoy automating repetitive tasks and finding smarter ways to work.</li>
<li>Organized &amp; Efficient: You bring order to chaos. You thrive on structure and clarity.</li>
<li>Analytical Mindset: You have an analytical mind but lead with empathy. You can spot trends, identify bottlenecks, and use insights to improve operations rather than just reacting to them.</li>
<li>Adaptable &amp; Flexible: Startup life is chaotic. You thrive when priorities shift and aren&rsquo;t afraid to wear multiple hats. You stay calm under pressure and keep things moving.</li>
<li>Positive Energy: You bring good vibes to the team. You&rsquo;re collaborative, optimistic, and make work feel energizing rather than draining.</li>
<li>Experience: Previous experience in customer success, operations, or executive assistance preferred. Experience in the AI/SaaS sector is a strong plus.</li>
<li>Language Skills: Native or fluent proficiency in English. Arabic is a bonus.</li>
</ul><h2 class="jobSectionHeader">Benefits</h2>
<ul><li>Build the Alternative: In an industry obsessed with endless scale at the cost of values, you&rsquo;ll join a team that does the opposite. Your work directly supports the creation of ethical tech infrastructure.</li>
<li>Join a Young, Energetic Team: Work alongside the founders and a tight-knit group of passionate believers. We are small, agile, and driven by purpose, not profit margins.</li>
<li>Remote Flexibility &amp; Compensation: Enjoy full remote work, supported by a competitive salary.</li>
</ul>
How to Apply: Please send your resume and a brief note answering these questions:
<div>
<ul><li>In one sentence, why does building alternative ethical infrastructure matter to you personally?</li></ul>
<ul><li>If you were setting up our operations stack from scratch, which tools would you recommend and why?</li></ul></div></div>

Operations Manager

Scale AI

<div>
 Scale&rsquo;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Partner with public sector clients to deeply understand their challenges and define AI-driven solutions
 </li>
 <li>
 Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
 </li>
 <li>
 Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets
 </li>
 <li>
 Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models
 </li>
 <li>
 Participate in customer engagements, including occasional travel (approximately two weeks per quarter)
 </li>
 <li>
 Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing
 
 
 </li>
 </ul>
 
 Ideally you&rsquo;d have:
 
 
 
 <ul>
 <li>
 A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
 </li>
 <li>
 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.
 </li>
 <li>
 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
 </li>
 <li>
 Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
 </li>
 <li>
 Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
 </li>
 <li>
 Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Experience working at a startup, particularly as founding engineer
 </li>
 <li>
 Experience building and deploying large-scale AI solutions
 </li>
 <li>
 Strong written and verbal communication skills to operate in a cross-functional team environment
 </li>
 <li>
 Proficiency in Arabic (if focused on language models)
 
 
 </li>
 </ul>
 
 For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted.
 
 
 Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process.
 
 
 
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta,
 
 
 Ernst
 
 
 &amp;
 
 
 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Applied AI Engineer, Global Public Sector

<div>
 Scale&rsquo;s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don&rsquo;t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI.
 
 
 Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale.
 
 
 
 The Mission
 
 
 
 <ul>
 <li>
 Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy.
 </li>
 <li>
 Systemic Evaluation &amp; Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments.
 </li>
 <li>
 Model Optimisation &amp; Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques.
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols, and logic flows that allow LLMs to function as reliable, autonomous agents in complex workflows.
 </li>
 <li>
 Drive Reliability &amp; Safety: Research and implement robust evaluation frameworks. This includes red-teaming for sovereign AI requirements and developing strategies to mitigate hallucinations in regulated data environments.
 </li>
 <li>
 Synthesise Deep Research: Build agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyse massive datasets and extract actionable insights.
 </li>
 <li>
 Optimize for Niche Domains: Evaluate and adapt models for specialised use cases, such as LLM reasoning for low-resource languages, complex OCR tasks, or working in GPU-constrained environments
 </li>
 <li>
 Build Evaluation Frontiers: Create new, automated benchmarks that define what success looks like for AI in the public sector, ensuring our systems meet the highest standards of accuracy and sovereignty.
 </li>
 <li>
 Consult as a Technical Authority: Act as a subject matter expert for public sector leaders, advising on the practical limits, safety requirements, and performance trade-offs of emerging AI technologies.
 
 
 </li>
 </ul>
 
 Ideally, You Have
 
 
 
 <ul>
 <li>
 Engineering Rigour: Exceptional proficiency in Python and experience building agentic harnesses or AI infrastructure. You write production-ready code that is modular, scalable, and reliable.
 </li>
 <li>
 Applied Research Mindset: A track record of taking theoretical AI concepts and turning them into functional prototypes or products. You know how to read a paper and determine if its methods are actually viable for a production system.
 </li>
 <li>
 Evaluation Expertise: Experience in LLM benchmarking, red-teaming, or building evaluations that go beyond standard academic datasets.
 </li>
 <li>
 Advanced Degree: A Master&rsquo;s or PhD in Computer Science, Mathematics, or a related field (with a focus on ML) is preferred, but we value demonstrated impact and engineering excellence.
 
 
 </li>
 </ul>
 
 Nice to Haves
 
 
 
 <ul>
 <li>
 Agentic Systems Expert: Deep experience in building multi-agent systems, including chain-of-thought optimisation and tool-calling reliability.
 </li>
 <li>
 Sovereign AI Experience: Experience working with highly regulated data environments, on-premise deployments, or sensitive government use cases.
 </li>
 <li>
 Inference Optimisation: Knowledge of how to optimise model performance for environments with limited GPU capacity or specific latency requirements.
 </li>
 <li>
 Zero-to-One Mindset: You are comfortable navigating ambiguity and enjoy defining research directions from scratch to solve a specific product or mission need.
 
 
 </li>
 </ul>
 
 For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted.
 
 
 Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process.
 
 
 
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta,
 
 
 Ernst
 
 
 &amp;
 
 
 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Machine Learning Engineer, Global Public Sector

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