electrical engineer

mechanical engineer

project engineer

planning engineer

ai engineer

ui engineer

Speechify

<div><div>Mission</div>
<div>
The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies
</div>
<div>What You'll Do</div>
<div><ul><li>Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and &mdash; when needed &mdash; C++.</li>
<li>Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability.</li>
<li>Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities.</li>
<li>Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long-term roadmap for the Windows platform.</li>
<li>Take ownership of full lifecycle of features: conception design implementation testing release maintenance. Ensure quality, reliability, and consistency across releases.</li>
<li>Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems &mdash; and propose robust architectural or design solutions.</li>
</ul>
</div><div></div><div>An ideal candidate should have</div>

Required:
<ul>
<li>3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML &mdash; and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).</li>
<li>Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.</li>
<li>Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.</li>
<li>Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.</li>
<li>Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).</li>
<li>Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.</li>
<li>Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.</li>
<li>A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.</li>
</ul>
Preferred / Bonus:
<ul>
<li>Experience with writing automated tests for UI &mdash; unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.</li>
<li>Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).</li>
<li>Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.</li>
<li>Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.</li>
<li>Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.</li>
<li>Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.</li>
</ul>
What we offer
<ul>
<li>A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.</li>
<li>A collaborative, flat-structure engineering culture &mdash; you are not just a coder, but a builder and a decision-maker.</li>
<li>Opportunities to lead &mdash; mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).</li>
<li>Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.</li>
<li>A purpose-driven mission: building software that's reliable, accessible, and user-centered &mdash; making a real difference for people.
</li></ul>Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply. 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them!

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Senior Software Engineer, Windows/Desktop Applications - Abu Dhabi, United Arab Emirates

DICETEK LLC

<div>JOB PURPOSE:
We are looking for an experienced AI Architect responsible for architecting enterprise-wide Generative AI and Agentic AI capabilities across banking systems. The role will define target architecture, integration patterns, standards, reference implementations and reusable building blocks for full-fledged AI chat assistants, autonomous agents and multi-agent workflows.
The AI Architect will lead end-to-end architecture for agentic retail banking journeys such as payments, transfers, servicing, self-service fulfilment and customer assistance, ensuring secure integration with enterprise APIs, middleware, core banking platforms and customer-facing channels across web and mobile.
This role requires deep hands-on AI engineering capability, strong banking domain understanding, practical delivery experience with multiple production-grade banking agents, and the ability to collaborate with product, engineering, infrastructure, cybersecurity, data, governance and enterprise architecture teams to present and align designs through ARB. 
QUALIFICATIONS &amp; EXPERIENCE:
Minimum Qualification<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science or a related discipline.</li><li>Relevant certifications in cloud architecture, AI engineering, security architecture, enterprise architecture or machine learning are preferred.</li></ul> 
Minimum Experience<ul><li>Senior technology professional with around 12+ years of experience across software engineering, architecture, cloud/platform engineering and enterprise solution delivery.</li><li>Minimum 4+ years of hands-on AI engineering or AI architecture experience, including Generative AI, LLM applications and Agentic AI solutions.</li><li>Proven experience architecting and delivering multiple banking agents or full-fledged banking chat assistant capabilities integrated with enterprise systems.</li><li>Strong understanding of banking systems, retail banking journeys, payments, transfers, servicing, customer self-service, operational controls and regulatory/security considerations.</li><li>Full AI Engineer capability including Python, API integration, microservices, event-driven design, RAG implementation, model/agent evaluation and cloud-native deployment practices.</li><li>Hands-on experience with agent frameworks and orchestration platforms such as Microsoft Semantic Kernel, AutoGen, LangChain, LangGraph and similar frameworks.</li><li>Experience architecting MCP servers, tool integration layers, agent-to-agent communication, UI integration patterns and agent interoperability protocols such as MCP, A2A and A2UI.</li><li>Strong experience with Azure AI services, Azure OpenAI Service, AWS AI services, Amazon Bedrock and related model deployment/management capabilities.</li><li>Experience designing secure AI systems with zero trust principles, identity and access controls, data protection, secure API design, PII redaction and privacy-by-design controls.</li><li>Experience presenting solution architecture, trade-off analysis, ADRs and architecture recommendations to ARB or equivalent architecture governance forums.</li><li>Experience recommending infrastructure architecture for AI platforms including compute, Kubernetes, serverless, vector databases, observability, monitoring, data pipelines and connectivity.</li><li>Strong capability to collaborate with engineering, product, cybersecurity, infrastructure, operations, data, compliance and enterprise architecture teams.</li></ul> 
Key Technical Skills<ul><li>Enterprise Agentic AI architecture, multi-agent systems, autonomous workflows, human-in-the-loop design and full-fledged chat assistant architecture.</li><li>LLMs, prompt engineering, context engineering, memory design, tool/function calling, agent orchestration, model/agent evaluation and cost/latency optimization.</li><li>RAG architecture, semantic indexing, embeddings, vector databases, retrieval optimization, reranking, grounding, answer relevancy and explainability patterns.</li><li>MCP server architecture, tool registries, multi-tool integration, A2A, A2UI, agent interoperability protocols and AI ecosystem design.</li><li>Azure AI, Azure OpenAI, AWS AI services, Amazon Bedrock, Kubernetes, serverless, microservices, APIs, event-driven architecture and observability.</li><li>Security architecture for AI systems including zero trust, PII redaction, data masking, privacy controls, guardrails, secure logging and auditability.</li></ul> 
Behavioural / Leadership Skills<ul><li>Strategic architecture thinking with the ability to define enterprise standards, influence platform direction and simplify complex technical decisions.</li><li>Strong stakeholder communication with the ability to present architecture options, risks, trade-offs and recommendations to senior leadership and ARB forums.</li><li>Collaborative leadership style with the ability to work across business, product, engineering, cybersecurity, data and infrastructure teams.</li><li>Hands-on problem-solving mindset, pragmatic decision making, ownership, mentoring capability and commitment to high-quality secure delivery.</li></ul> 
Technical Competencies<ul><li>Enterprise Agentic AI architecture and banking-grade AI ecosystem design.</li><li>Retail banking agent architecture for payments, transfers, servicing and self-service workflows.</li><li>RAG, memory, context engineering, evaluation, tool orchestration and MCP server architecture.</li><li>AI security architecture, zero trust, PII redaction, guardrails, auditability and governance.</li><li>Azure and AWS AI services, cloud-native infrastructure, Kubernetes, serverless and observability for agent platforms.</li><li>Architecture documentation, ADR creation, ARB presentation and cross-team design governance.</li></ul> 
Skills: AI Architecture , LLMs , Azure AI</div>

AI Architect – Enterprise Agentic AI Architecture

Jex Recruitment | Connecting top talent with leading companies

<div>
 
 
 Lead Machine Learning Engineer | AI Lab | Abu Dhabi
 
 
 
 
 
 
 We&rsquo;re hiring a
 
 Lead Machine Learning Engineer
 
 to join a high-growth AI Lab in Abu Dhabi, working on the design, development, and deployment of advanced machine learning solutions at scale.
 
 
 
 
 
 This is a hands-on technical leadership role for an experienced ML Engineer who can take models from research and experimentation through to production, while helping shape engineering standards and mentor other members of the team.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead the design, development, and deployment of production-grade machine learning systems
 </li>
 <li>
 Build and optimise ML models across a range of AI use cases
 </li>
 <li>
 Own the full ML lifecycle, from experimentation and model development through to deployment and monitoring
 </li>
 <li>
 Design scalable ML pipelines and infrastructure for training and inference
 </li>
 <li>
 Work closely with Data Scientists, ML Engineers, Software Engineers and Product teams
 </li>
 <li>
 Drive best practices across MLOps, model performance, testing and production reliability
 </li>
 <li>
 Provide technical leadership and mentorship to engineers within the team
 </li>
 <li>
 Evaluate new models, frameworks and technologies and introduce them where appropriate
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 8+ years of experience
 
 across Machine Learning, Software Engineering or related technical roles
 </li>
 <li>
 Strong hands-on experience building and deploying machine learning models into production
 </li>
 <li>
 Advanced Python development skills
 </li>
 <li>
 Strong understanding of machine learning algorithms, deep learning and modern AI architectures
 </li>
 <li>
 Experience with frameworks such as
 
 PyTorch, TensorFlow or similar
 
 </li>
 <li>
 Experience building scalable ML pipelines and working with large datasets
 </li>
 <li>
 Strong understanding of
 
 MLOps
 
 , model deployment, monitoring and CI/CD
 </li>
 <li>
 Experience with cloud platforms such as
 
 AWS, Azure or GCP
 
 </li>
 <li>
 Strong software engineering fundamentals and experience designing production-grade systems
 </li>
 <li>
 Previous experience leading technical projects and mentoring engineers
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, AI or a related field
 </li>
 </ul>
 
 
 
</div>

Lead Machine Learning Engineer

Sundus

<div>
 
 Job Title
 
 : Backend Engineer
 
 
 
 Job Code
 
 : JPC 6311
 
 
 
 Experience: min 7 years
 
 
 
 
 Education:
 
 Bachelor s degree in Computer Science, Engineering, or related field.
 
 
 
 Language Skills
 
 : English
 
 
 
 Role Purpose
 
 
 
 The Backend Engineer is responsible for designing, developing, and maintaining
 
 
 scalable, secure, and high-performance backend systems that power AI-driven
 
 
 applications. This role plays a critical part in building robust APIs, integrating AI/ML
 
 
 services, and ensuring reliable data processing and system performance in production
 
 
 environments.
 
 
 
 Required Skills And Qualifications
 
 
 
 Bachelor s degree in Computer Science, Engineering, or related field.
 
 
 7+ years of experience in backend development.
 
 
 Strong programming expertise in Python, Java, Node.js etc.
 
 
 Proven experience building scalable APIs and microservices architectures.
 
 
 Strong knowledge of databases (SQL and NoSQL) such as PostgreSQL,
 
 
 MySQL, MongoDB, or Cosmos DB.
 
 
 Experience with cloud platforms (Azure, AWS or GCP).
 
 
 Solid understanding of distributed systems, caching, and asynchronous
 
 
 processing.
 
 
 Experience with Git and version control workflows.
 
 
 Strong debugging and problem-solving skills.
</div>

Backend Engineer

<div>
 
 Job Title
 
 : AI Engineer (ML, LLM, RAG &amp; Agentic AI)
 
 
 
 Job Code
 
 : JPC 6310
 
 
 
 Experience:
 
 2+ years of experience in AI/ML development.
 
 
 
 Education:
 
 Bachelor s degree in Computer Science, AI, Data Science, or related field.
 
 
 
 Language Skills
 
 : English
 
 
 
 Role Purpose
 
 
 
 The AI Engineer is responsible for developing, testing, and deploying AI/ML and
 
 
 Generative AI solutions, including LLM-based applications, RAG pipelines, and
 
 
 Agentic workflows. This role also includes the ability to deploy and run LLMs on
 
 
 local/on-premise servers, supporting secure and efficient AI solution delivery in
 
 
 enterprise environments.
 
 
 
 Required Skills &amp; Qualifications
 
 
 
 Bachelor s degree in Computer Science, AI, Data Science, or related field.
 
 
 2+ years of experience in AI/ML development.
 
 
 Strong programming skills in Python.
 
 
 
 Hands-on Experience With
 
 
 
 <ul>
 <li>
 Machine learning frameworks (Scikit-learn, PyTorch, or TensorFlow)
 </li>
 <li>
 Basic NLP concepts
 
 
 </li>
 </ul>
 Understanding of ML model lifecycle (training, evaluation, deployment).
 
 
 Familiarity with REST APIs and integration concepts.
 
 
 Experience with Git/version control.
</div>

AI Engineer

Worley

<div>About us
Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.
Specific Accountabilities:
<ul><li>Responsible for Quality Management System compliance and system improvement activities.
</li><li>Support Goal Zero and participate in HSE activities as defined in the EPCM CONTRACT HSE Plan.
</li><li>Accountable for Quality Management Plan implementation.
</li><li>Establishing, implementing and maintaining the quality management system.
</li><li>Accountable for the overall company Flawless project delivery plan for projects, where applicable.
</li><li>Responsible for continual improvement activities to enhance the quality system such as fishbone, Root cause analysis, Five Why, etc.
</li><li>Support the Quality Control Inspectors to ensure that products and processes comply with the relevant requirements of the quality management system.
</li><li>Responsible for co-ordinating the inspection activities of multi-discipline Quality Control Inspectors.
</li><li>Conducts regular schedule meetings with Quality Control Inspectors and Implementation Contractors Site Quality Team where applicable to align on project quality goals.
</li><li>Monitor contractor QA/QC activities and maintain records to support Document Control.
</li><li>Ensure that responses are complete and in compliance with the contract documents. Where problems are found, work with the Construction Lead and Project Engineer to resolve.
</li><li>Assist to identify, respond to or evaluate technical issues to maintain the schedule.
</li><li>Support assurance activities of the Senior Quality Assurance Engineer.
</li><li>To carry out inspection and maintain records in accordance with the Inspection and Test Plan and include raising punch list items after inspection at Mechanical Completion / Pre-commissioning.
</li><li>Performs inspection according to a predefined inspection scope in work packs. Assess Inspection results in relation to applicable performance standards.
</li><li>Reports results of inspection activities according to instruction of inspection management standard. Identifying any anomalies and report those according to procedures as detailed in the Inspection management standard.
</li><li>Support Construction in the completion of punch list activities.
</li><li>Hold pre-inspections meetings.
</li></ul>Essential Skills and Experience:
<ul><li>Certified Welding Inspector (CSWIP, AWS, etc.) with at least 5 years inspection experience.
</li><li>Certified Coating Inspector (NACE, BGAS, etc.) with at least 5 years inspection experience.
</li><li>Minimum 8 years&rsquo; experience in Oil and Gas Industry.
</li><li>Minimum 5 years&rsquo; experience in Brown Field Oil and Gas related project delivery.
</li><li>Minimum 5 years&rsquo; experience in Brown Field Oil and Gas Project Delivery as an Umbrella Contract Senior Quality Control Engineer.
</li><li>Flawless Project Delivery experience.
</li><li>Experience with interfacing with other disciplines, i.e. electrical, process, rotating mechanical, civil, static mechanical and technical.
</li><li>Bachelor of engineering in a relevant discipline.
</li><li>Certified and registered IRCA Lead Auditor in ISO 9001
</li><li>Having a total experience of min. 12 years as QA Engineer with strong background of the
</li><li>Oil &amp; Gas Projects environment.
</li><li>Strong knowledge and experience in leading Project Quality audits.
</li><li>Strong coordination and reporting skills.
</li><li>Fluent English lingual skills.
</li></ul>Required Competencies
<ul><li>Fluent English language skills.
</li><li>Strong computer literacy, MS Office suite of programs competence and writing skills.
</li><li>Must be a self-starter, highly motivated individual capable of working with limited supervision.
</li><li>Able to work under pressure within tight schedule timelines without compromising Quality.
</li><li>Able to proactively identify and address Quality risks and issues.
</li>Strong interpersonal and team leadership skills. 
<li>
</li></ul> 
Moving forward together
We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We're building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard.
And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here.
<div>And there's no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.</div></div>

Senior Quality Engineer

<div>
 
 
 Staff AI Software Engineer | Abu Dhabi
 
 
 
 
 
 
 We're hiring on behalf of a major Abu Dhabi-based enterprise that's scaling its applied AI capability, building AI/ML systems that plug directly into core operations, risk, and customer-facing products.
 
 
 
 
 
 
 The Role
 
 
 
 As a Staff AI Software Engineer, you'll be a senior technical leader, designing and shipping production-grade AI/ML systems at scale. This is a hands-on, high-influence role for someone who wants to shape how a major regional institution builds and deploys AI.
 
 
 
 
 
 
 What you'll do
 
 
 <ul>
 <li>
 Architect and build scalable AI/ML systems, from prototype to production
 </li>
 <li>
 Lead technical design decisions across the engineering team
 </li>
 <li>
 Partner with data science, product, and engineering to translate business problems into deployable AI solutions
 </li>
 <li>
 Set and champion engineering best practices, code quality, MLOps, model monitoring, and responsible AI
 </li>
 <li>
 Mentor engineers and act as a technical reference point across the function
 </li>
 </ul>
 
 
 
 
 
 What we're looking for
 
 
 <ul>
 <li>
 Strong software engineering background (Python and/or relevant production languages)
 </li>
 <li>
 Proven experience building and deploying ML/AI systems at scale (LLMs, NLP, or applied ML)
 </li>
 <li>
 Solid grasp of MLOps, cloud infrastructure, and system design for production AI
 </li>
 <li>
 Staff/Principal-level experience, someone who's operated as a senior IC or technical lead
 </li>
 <li>
 Comfortable working in a regulated, enterprise environment
 </li>
 </ul>
 
 
 
 
 
 Why this role
 
 
 <ul>
 <li>
 Abu Dhabi, one of the region's fastest-growing hubs for applied AI in financial services
 </li>
 <li>
 Ground-floor opportunity to shape AI strategy and engineering culture within a well-resourced innovation function
 </li>
 <li>
 High-impact, high-visibility mandate within a major regional institution
 </li>
 </ul>
</div>

Staff Software Engineer

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