sales engineer

ai engineer

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application engineer

automation software engineer

DICETEK LLC

<div>Are you passionate about ensuring the quality of digital applications through automation testing? We are looking for a skilled QA Engineer to join our dynamic team. If you have experience with automation testing tools and a strong eye for detail, we want to hear from you.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul><li>
Develop and execute automated test scripts to verify the functionality and performance of digital applications</li><li>
Collaborate with cross-functional teams to identify testing requirements and create test plans</li><li>
Analyze test results and report findings to improve software quality</li><li>
Identify and troubleshoot issues in a timely manner</li></ul><h3 class="jobSectionHeader">
Qualifications:</h3><ul><li>
Bachelor's degree in Computer Science or related field</li><li>
Proven experience with automation testing tools such as Selenium, Appium, or similar</li><li>
Strong understanding of QA methodologies, tools, and processes</li><li>
Excellent problem-solving and analytical skills</li><li>
Ability to work both independently and in a team environment</li></ul></div>

QA Engineer with Digital Apps Automation

GSSTech Group

<div>We are seeking a highly skilled Senior Product Engineer (Finacle Automation) to join a premier banking technology team in Dubai. Operating within the Software Engineering Chapter, this role is aligned with the Business Platforms &amp; Core Platforms delivery streams.
The ideal candidate will bring 6 to 10 years of deep technical expertise in Finacle testing and ecosystem scripting. You will be responsible for driving high-quality, end-to-end test automation strategies across core banking applications, ensuring robust functional coverage, and verifying system integrations within an Agile delivery framework. 
Requirements 
 
Key Responsibilities1. Finacle Test Engineering &amp; Validation<ul><li>
Design, develop, and execute comprehensive test suites for Finacle 11X core banking landscapes.</li><li>
Validate end-to-end technical and functional workflows across CRM, Core Banking, and Payments modules.</li><li>
Perform deep-dive functional validation covering both Assets and Liabilities business tracks.</li><li>
Utilize Finacle scripting capabilities and advanced log validation techniques to troubleshoot, isolate, and debug system behaviors.</li></ul>
2. Test Automation &amp; Integration Testing<ul><li>
Architect, build, and maintain scalable automated test frameworks from scratch using Selenium with Java or Playwright with Node.js.</li><li>
Perform rigorous in-sprint automation testing closely aligned with fast-paced Agile delivery cycles.</li><li>
Validate and automate testing for SOAP and REST Finacle APIs to guarantee flawless downstream and upstream integrations.</li><li>
Analyze and validate FIXML messages and construct complex SQL queries to verify data integrity within back-end databases.</li></ul>
Technical Specifications &amp; SkillsCore Automation &amp; Finacle Stack (Essential)<ul><li>
Core Platform: Hands-on testing and engineering experience on Finacle 11X platforms.</li><li>
Modules &amp; Domains: Solid operational understanding of Finacle CRM, Core, Payments modules, and the Assets &amp; Liabilities banking domains.</li><li>
Automation Frameworks: Strong proficiency in Selenium (Java) or Playwright (Node.js) for UI and functional automation.</li><li>
Data &amp; APIs: Working knowledge of FIXML, SQL, and API validation (REST/SOAP).</li></ul>
Preferred Expertise &amp; Scripting (Highly Value Add)<ul><li>
Proven experience working on large-scale Finacle implementation or migration testing projects.</li><li>
Practical knowledge of Finacle scripting syntax and runtime environment logs to accelerate root-cause analysis.</li></ul>
Qualifications &amp; Experience<ul><li>
Experience: 6 to 10 years of dedicated experience in banking automation testing, with an explicit focus on the Finacle core banking ecosystem.</li><li>
Education: Bachelor's or Master&rsquo;s degree in Computer Science, Software Engineering, or an equivalent technical field.</li><li>
Soft Skills: Strong analytical capabilities, excellent cross-functional collaboration habits, and the communication skills required to articulate test health metrics to product owners and chapter leads.</li></ul></div>

Sr. Finacle Automation Engineer

Watt Utilities

AI Software EngineerAbout The RoleWe are looking for an AI Software Engineer to help us build the next generation of AI-powered products, features and services.This is not a Machine Learning or Data Science role. Instead, we&rsquo;re looking for an experienced software engineer who has been heavily involved in designing and building production applications using modern AI technologies. You should understand today&rsquo;s AI ecosystem, know how to evaluate emerging AI tools, and be able to identify where AI can create genuine business value.You&rsquo;ll work across our products and platforms, building enterprise-grade web applications while driving the adoption of AI across customer-facing products, internal tools and engineering workflows.Location: On-site in DubaiRequired Technical Skills● Must have 5+ years of professional software development experience● Strong experience with TypeScript, React and Node.js● Deep understanding of Next.js (App Router, Server Actions, Middleware and Routing)● Strong experience with PostgreSQL (or equivalent), including schema design and query optimisation● Must have experience designing and building production AI-powered applications● Strong understanding of Large Language Models (LLMs) and how to integrate them into software products● Experience working with leading AI providers such as OpenAI, Anthropic, Google Gemini or similar● Experience with prompt engineering, structured outputs and tool/function calling● Experience building AI agents, assistants and intelligent automation workflows● Experience implementing Retrieval-Augmented Generation (RAG)● Experience working with embeddings, vector databases and semantic search● Experience building AI applications using modern orchestration frameworks and SDKs (e.g. Vercel AI SDK, LangChain, LangGraph, LlamaIndex or similar)● Familiarity with the Model Context Protocol (MCP) and modern AI tooling ecosystem● Understanding of AI evaluation, latency optimisation, observability and cost optimisation● Experience implementing AI safety, validation and guardrails in production systemsWhat You Will Do● Design, build and ship AI-powered products, features and services● Architect scalable software systems that effectively integrate AI capabilities● Evaluate emerging AI technologies and recommend practical adoption across the business● Build AI agents, assistants and intelligent automation workflows● Develop backend services that support AI-powered experiences● Implement semantic search, RAG pipelines and knowledge retrieval systems where appropriate● Optimise AI applications for quality, performance, reliability and cost● Integrate third-party APIs, AI providers and external services● Collaborate with product managers, designers and stakeholders to solve business problems using AI● Contribute to architecture discussions, code reviews and engineering best practices● Help define engineering standards and reusable patterns for AI development● Stay up to date with the rapidly evolving AI landscape and share knowledge with the wider teamNice To Have● Experience building AI-first SaaS products● Experience with multi-agent architectures● Experience deploying or fine-tuning open-source models● Experience with cloud AI platforms such as AWS Bedrock, Azure AI or Google Vertex AI● Experience with multimodal AI (vision, speech or document understanding)● Experience with AI evaluation frameworks and observability platforms● Contributions to AI open-source projects or personal AI productsAbout You● Passionate about AI and excited by the pace of innovation in the field● You can work autonomously with minimal supervision, taking ownership of tasks from planning to completion● You have a proactive, can-do approach to problem-solving and are willing to tackle unfamiliar challenges● You are comfortable meeting deadlines and handling multiple priorities in a fast-paced environment● You are a team player with a collaborative mindset, open to feedback, and willing to help colleagues● You follow established coding standards and write clean, maintainable, well-documented code● You participate actively in code reviews (giving and receiving feedback)● You take responsibility for testing and quality assurance of your own workJob Type: Full-timePay: AED10,000.00 - AED15,000.00 per monthWork Location: In person

AI Software Engineer

Forsyth Barnes

<div>
 
 We're looking for an experienced AI Workflow &amp; Automation Engineer to join a major enterprise transformation programme.
 
 
 
 
 
 
 Key responsibilities:
 
 
 <ul>
 <li>
 Design and build production n8n workflows
 </li>
 <li>
 Develop AI agents using LLMs, LangChain and RAG
 </li>
 <li>
 Integrate enterprise systems via REST APIs
 </li>
 <li>
 Build AI governance, validation and testing frameworks
 </li>
 <li>
 Support HR automation and digital transformation initiatives
 </li>
 </ul>
 
 
 
 
 
 Key skills:
 
 
 <ul>
 <li>
 n8n
 </li>
 <li>
 LangChain &amp; RAG
 </li>
 <li>
 Azure OpenAI / GPT-4o (or equivalent)
 </li>
 <li>
 REST API integrations
 </li>
 <li>
 AI governance &amp; prompt engineering
 </li>
 </ul>
 
 
 
 
 
 Desirable:
 
 
 <ul>
 <li>
 Oracle EBS HRMS
 </li>
 <li>
 Node.js / NestJS
 </li>
 <li>
 LangSmith / Langfuse
 </li>
 <li>
 pgvector / Vector DBs
 </li>
 <li>
 Redis
 </li>
 <li>
 UAE Government or HR systems experience
 </li>
 </ul>
 
 
 
 
 If you're interested, or know someone who would be a good fit, please get in touch.
 
</div>

N8N Automation Engineer (Ref: 196909)

OWNRSCLB - Dubai Owners Club

<div>
 
 
 Location:
 
 On Site (Dubai)
 
 
 
 Tech Stack:
 
 
 Node.js backend / Angular web / React Native mobile (post-migration)
 
 
 
 
 Salary:
 
 AED 12,500 + performance-based bonus
 
 
 
 
 
 
 About the Role
 
 
 
 
 OWNRSCLB is a trust-critical platform. A bug in verification or form signing is not a UX issue; it is a business and legal issue.
 
 
 
 
 
 
 
 We are looking for a QA/Automation Engineer who uses AI as a core part of their testing toolkit; not as a gimmick or buzzword, but as a genuine force multiplier. You will use LLM-assisted tools to generate test cases, identify edge cases from requirements, accelerate coverage on a low-coverage codebase, and reduce the manual overhead of regression testing.
 
 
 
 
 
 
 
 Our current test coverage is approximately 5%. Your mandate is to change that faster than a traditional QA engineer could. AI tooling is how you achieve it.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 AI-assisted test generation
 
 
 Use LLM tools (GitHub Copilot, Claude, Cursor, or equivalent) to generate test suites from API specs, requirements documents, and codebase analysis. You do not write every test from scratch; you direct AI to do the heavy lifting and validate the output. Your bonus will be based on how effectively you can do this.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Critical path coverage
 
 
 Identify and prioritise the trust-critical flows; authentication, property verification, tier assignment, Form A/B signing, transaction workflows; and achieve meaningful automated coverage within the first 60 days.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Intelligent edge case discovery
 
 
 Use AI tools to surface edge cases and boundary conditions that manual analysis would miss. Apply generative techniques to explore unexpected input combinations, race conditions, and failure modes.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 API test automation
 
 
 Build and maintain automated test suites for the Node.js/Express backend API using AI-assisted tooling alongside Jest, Supertest, or Playwright.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 End-to-end testing
 
 
 Implement E2E coverage for the web panels (Angular) and mobile app. Use AI-powered tools (e.g. Playwright with Copilot assistance, Testim, or Mabl) to accelerate test authoring.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 AI-driven regression
 
 
 Establish a regression suite that runs on every pull request. Explore AI-powered visual regression and self-healing test approaches to reduce maintenance overhead as the UI evolves.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Natural language test specs
 
 
 Work with the Business Analysts to translate requirements written in plain English directly into executable test cases using LLM-based test generation tools.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Security testing
 
 
 Use AI-assisted tools (e.g. OWASP ZAP with AI extensions, or LLM-guided penetration prompts) to complement manual security testing on authentication, input validation, and access control.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 QA process ownership
 
 
 Define what must pass before a PR merges, own the definition of done, and provide sign-off before every release. Document your AI toolchain so the team can build on it.
 
 
 
 
 
 
 
 Must Have:
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Active AI tooling user
 
 
 you currently use GitHub Copilot, Claude, Cursor, or similar LLM tools as part of your daily workflow; not occasionally, but habitually. You can demonstrate this in your interview.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 AI test generation
 
 
 hands-on experience generating test cases from specs or code using LLM tools. You understand where AI output needs validation and where to trust it.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 3+ years
 
 
 of QA engineering experience with demonstrated automation skills; not just manual testing.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 API testing
 
 
 strong experience writing automated tests against REST APIs. You are comfortable with JSON, HTTP, auth headers, and testing error conditions.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 JavaScript / TypeScript
 
 
 sufficient programming ability to direct, review, and refine AI-generated test code. You can tell when Copilot has written something wrong.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Test frameworks
 
 
 hands-on experience with Jest, Supertest, Playwright, Cypress, or equivalent. You use these alongside AI tools, not instead of them.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 CI/CD integration
 
 
 experience configuring tests to run automatically in a GitHub Actions or GitLab CI pipeline.
 
 
 
 
 
 
 
 Nice to Have:
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 AI testing platforms
 
 
 experience with dedicated AI testing tools such as Testim, Mabl, Applitools, or Reflect; platforms that use AI for test creation, self-healing, and visual regression.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Prompt engineering for QA
 
 
 a working understanding of how to prompt LLMs effectively to generate high-quality, relevant test cases rather than generic boilerplate.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Mobile testing
 
 
 experience with Detox, Appium, or AI-assisted mobile testing tools.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Performance testing
 
 
 AI-assisted load testing with k6 + Copilot, Artillery, or similar.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Security testing
 
 
 OWASP awareness; experience using AI tools to surface injection, auth, and access control vulnerabilities.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Real estate / PropTech
 
 
 understanding of property transaction workflows or similar regulated processes.
 
 
 
 
 
 
 
 Interview Process:
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Stage 1
 
 
 45-minute screen leadership; walk us through how you currently use AI in your testing workflow. Be specific: which tools, what prompts, what results. We will ask follow-up questions.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Stage 2
 
 
 Take-home paid task (2 hours); given our API spec and a set of plain-English requirements, produce a test suite using whatever AI tooling you choose. Submit both the tests and a brief explanation of how you used AI to generate them. We assess quality of output and intelligence of approach.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Stage 3
 
 
 Live paid session (1 hour); screen-share a live demonstration of your AI-assisted testing workflow against a simple API endpoint we provide. We want to see how you actually work, not how you describe working.
 
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 Stage 4
 
 
 Final conversation; team fit, toolchain discussion, compensation.
 
 
</div>

QA / Automation Engineer (Proptech)

Fuse Energy

<div>
 Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
 
 
 We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.
 
 
 But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.
 
 
 We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)
 </li>
 <li>
 Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows
 </li>
 <li>
 Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms
 </li>
 <li>
 Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing
 </li>
 <li>
 Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts
 </li>
 <li>
 Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space
 </li>
 <li>
 Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 3 years of engineering experience
 </li>
 <li>
 Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning
 </li>
 <li>
 Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)
 </li>
 <li>
 Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production
 </li>
 <li>
 Solid understanding of cloud technologies, containerisation and building scalable AI applications
 </li>
 <li>
 Ability to integrate AI/ML models into real-world applications, focusing on usability and performance
 </li>
 <li>
 Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment
 </li>
 <li>
 Experience working with large datasets, particularly in relation to demand and supply forecasting
 
 
 </li>
 </ul>
 
 Bonus
 
 
 
 <ul>
 <li>
 Experience or strong interest in energy markets and trading strategies
 </li>
 <li>
 Understanding of weather forecasting, energy demand patterns, and production modelling
 </li>
 <li>
 Exposure to Natural Language Processing (NLP) or other related fields
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and an equity sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs
 </li>
 <li>
 Paid annual leave
 </li>
 <li>
 Breakfast and dinner allowance for office based employees
 </li>
 </ul>
</div>

Applied AI Engineer

<div>Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. 
 
We&rsquo;re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. 
 
But we&rsquo;re not stopping there. We&rsquo;re also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. 
 
We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. 
 
Responsibilities<ul><li>
Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)</li><li>
Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows</li><li>
Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms</li><li>
Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing</li><li>
Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts</li><li>
Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space</li>
Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively 
<li>
</li></ul> 
 
Requirements 
<ul><li>
Minimum 3 years of engineering experience</li><li>
Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning</li><li>
Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)</li><li>
Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production</li><li>
Solid understanding of cloud technologies, containerisation and building scalable AI applications</li><li>
Ability to integrate AI/ML models into real-world applications, focusing on usability and performance</li><li>
Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment</li><li>
Experience working with large datasets, particularly in relation to demand and supply forecasting</li></ul>
Bonus<ul><li>
Experience or strong interest in energy markets and trading strategies</li><li>
Understanding of weather forecasting, energy demand patterns, and production modelling</li><li>
Exposure to Natural Language Processing (NLP) or other related fields</li></ul> 

Benefits 
<ul><li>
Competitive salary and an equity sign-on bonus</li><li>
Biannual bonus scheme</li><li>
Fully expensed tech to match your needs</li><li>
Paid annual leave</li><li>
Breakfast and dinner allowance for office based employees</li></ul></div>

Explore 782+ Automation software engineer in Dubai this July. Find roles across top companies and apply now to boost your career.

782 automation software engineer jobs In Dubai

QA Engineer with Digital Apps Automation

Sr. Finacle Automation Engineer

AI Software Engineer

N8N Automation Engineer (Ref: 196909)

QA / Automation Engineer (Proptech)

Applied AI Engineer

Applied AI Engineer