mechanical engineer

estimation engineer

planning engineer

project engineer

senior electrical engineer Jobs in Abu Dhabi

senior electrical engineer

backend engineer

AppliedAI

<div>
 
 
 AI Engineer
 
 
 
 On-site | Abu Dhabi
 
 
 
 
 
 AppliedAI is a pioneering AI technology company headquartered in Abu Dhabi, committed to innovation and excellence in artificial intelligence solutions in regulated industries such as healthcare, insurance, government, and financial services.
 
 
 
 
 
 
 
 Opus is the world's first
 
 Knowledge Work AI platform
 
 . Built by AppliedAI to pioneer
 
 Supervised Automation
 
 , a human-in-the-loop model where AI handles repetitive, structured tasks while human experts provide crucial oversight at defined intervals.
 
 
 
 
 
 
 
 The platform uses its proprietary
 
 Large Work Model
 
 to generate and orchestrate outcome-based workflows, enabling a dramatic reduction in the cost of knowledge work and allowing human talent to focus on high-value, creative, and judgement-intensive activities.
 
 
 
 
 
 
 
 
 
 
 
 Role Overview:
 
 
 
 
 
 
 
 
 As an Opus AI Engineer, you will contribute to the development, optimization, and reliability of Opus&rsquo;s AI infrastructure. You&rsquo;ll work in a cross-functional UAE-based team to build, maintain, and improve the systems that power Opus&rsquo;s AI features, from inference pipelines and workflow orchestration to prompt alignment and agentic integrations.
 
 
 
 
 
 Your focus will be on implementing clean, efficient, and observable systems that ensure Opus&rsquo;s AI features deliver consistent, high-quality performance for users.
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Develop and maintain AI inference and orchestration pipelines used in production.
 </li>
 <li>
 Optimize model-serving performance, latency, and reliability across live systems.
 </li>
 <li>
 Implement observability, logging, and monitoring for AI components.
 </li>
 <li>
 Contribute to prompt and alignment improvements to enhance response quality and consistency.
 </li>
 <li>
 Refactor existing code for modularity, clarity, and maintainability.
 </li>
 <li>
 Collaborate with senior engineers and product teams to deliver stable, user-facing AI features.
 </li>
 <li>
 Participate in design reviews, testing, and rollout of new systems and improvements.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 2 - 4 years of experience in ML or backend engineering.
 </li>
 <li>
 1+ years working on LLM prompt design, model behavior shaping, or symbolic product-logic integration into language systems.
 </li>
 <li>
 Strong Python programming skills and understanding of production ML systems.
 </li>
 <li>
 Familiar with orchestration tools (Airflow, Celery, Kubernetes) and cloud environments (AWS, GCP, Azure).
 </li>
 <li>
 Experience deploying and monitoring inference pipelines (e.g. LLMs, CV models, or similar APIs).
 </li>
 <li>
 Knowledge of observability tools and performance debugging.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why join AppliedAI:
 
 
 
 
 
 <ul>
 <li>
 Opportunity to work with a highly innovative AI technology company.
 </li>
 <li>
 Collaborative and innovative work environment.
 </li>
 <li>
 Growing, entrepreneurial and forward-thinking culture.
 </li>
 <li>
 Career growth and professional development opportunities.
 </li>
 <li>
 Exposure to a thriving ecosystem working from our Abu Dhabi HQ.
 </li>
 </ul>
</div>

AI Engineer

Speechify

<div>Mission

Speechify is the easiest way to listen to the world's information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we're doing for audio information. And whatever we're doing seems to be working. We're #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify's product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You'll Do
<ul>
<li>Collaborate with Speechify's Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK</li>
<li>Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms</li>
<li>Ship cloud functions, lightweight backend services, and jobs using Kotlin</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.</li>
<li>Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time</li>
<li>Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down</li>
<li>Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs</li>
<li>Preferred Tech Stack:
<ul><li>Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform)</li>
<li>Prior experience with GCP is a plus</li>
</ul>
</li></ul>What We Offer
<ul><li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.</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, Core Experiences - Abu Dhabi, United Arab Emirates

D4 Insight

<div>Location: Abu Dhabi 
Experience: 5+ Years
<h3 class="jobSectionHeader">
Role Overview:</h3>

We are looking for AI Engineer specializing in Conversational AI, Virtual Assistants, and LLM-powered customer engagement solutions. The role involves building intelligent, context-aware conversational systems for banking environments.
<h3 class="jobSectionHeader">
Key Responsibilities:</h3>
<ul><li>Design chatbot and virtual assistant experiences.</li>
<li>Build conversational workflows and dialogue management systems.</li>
<li>Integrate APIs and backend services.</li>
<li>Develop prompt libraries and response strategies.</li>
<li>Implement LLM evaluation, monitoring, and safety controls.</li>
<li>Ensure regulatory compliance and response quality.</li>
</ul><h3 class="jobSectionHeader">Required Skills:</h3>
<ul><li>LLMs &amp; Conversational AI</li>
<li>Prompt Engineering</li>
<li>API Integration</li>
<li>Agentic AI Frameworks</li>
<li>Evaluation &amp; Guardrails</li>
<li>Python</li>
</ul>
 Apply Now: [email protected]</div>

AI Engineer – Conversational AI

Dizzaract FZ LLC

01. ABOUT THE COMPANYDizzaract is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not theirorigin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.02. ABOUT THE ROLEWe&rsquo;re looking for a Senior AI Engineer to design and ship production AI systems powering GAMED.This role focuses on applied AI &mdash; not research for the sake of research. You&rsquo;ll work on recommendation systems, AI-driven moderation, retrieval systems, agentic workflows, ranking systems, and player-facing AI features integrated directly into the product ecosystem. You&rsquo;ll collaborate closely with Backend, Product, and Infrastructure teams to build scalable AI systems used by real users.03. WHO YOU ARE<ul><li>You think pragmatically about AI products and infrastructure.</li><li>You care about reliability, evaluation, and production quality.</li><li>You&rsquo;re comfortable building systems from experimentation to deployment.</li><li>You understand both model quality and infrastructure cost.</li><li>You enjoy solving applied ML problems in live environments.</li></ul>04. RESPONSIBILITIES<ul><li>Design and deploy AI-powered product features.</li><li>Build recommendation, ranking, moderation, and agent systems.</li><li>Develop and optimize RAG pipelines.</li><li>Work with modern LLM ecosystems and open-weight models.</li><li>Design evaluation frameworks and testing pipelines.</li><li>Optimize inference, retrieval, and deployment performance.</li><li>Collaborate closely with backend and infrastructure teams.</li></ul>05. REQUIREMENTS<ul><li>5+ years in engineering.</li><li>3+ years building applied ML/AI systems in production.</li><li>Strong Python expertise.</li><li>Experience with PyTorch or JAX.</li><li>Experience with LLMs, RAG, and agent systems.</li><li>Experience with vector databases and retrieval systems.</li><li>Understanding of model evaluation and deployment strategies.</li><li>Experience balancing quality, latency, and infrastructure cost.</li></ul>06. NICE TO HAVE<ul><li>RLHF / DPO / PPO experience.</li><li>Multi-agent systems.</li><li>Recommender systems at scale.</li><li>MLOps tooling.</li><li>AI safety / red-teaming experience.</li></ul>07. WHAT WE OFFER<ul><li>Real ownership and direct impact on a global AI infrastructure product.</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team.</li><li>Exposure to cutting-edge AI, gaming platforms, and digital asset economies.</li><li>Competitive salary with performance-based incentives.</li><li>24 days annual leave, plus public holidays.</li><li>Health insurance.</li><li>Modern office in Yas Creative Hub.</li><li>Continuous learning through real-world problem solving &mdash; not just theory.</li><li>The opportunity to shape what you're working on and influence product direction.</li><li>A diverse, open-minded team where ideas are genuinely heard.</li></ul>Work Location: In person

Senior AI Engineer

ESTIDAMA UAE

<div>
 
 
 Java Software Engineer (Lending)
 
 
 
 
 
 
 
 
 
 
 📍Location
 
 : Abu Dhabi, UAE
 
 
 
 💼 Type
 
 : Full-time, On-site
 
 
 ⚙️
 
 Industry
 
 : FinTech / Digital Lending
 
 
 
 
 
 
 Overview
 
 
 
 Focus on financial credit scenarios (personal consumer credit, corporate credit, supply chain finance). Design, develop, and iterate Java-based credit risk systems (full lifecycle: pre-loan &rarr; in-loan &rarr; post-loan). Mitigate credit/fraud/compliance risks, protect financial assets, and ensure compliance with CBIRC/PBOC regulations.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 Core System Development
 
 <ul>
 <li>
 Build Java-based credit risk systems (approval, anti-fraud, post-loan monitoring) to support credit applications, line reviews, and overdue collection.
 </li>
 <li>
 Design high-availability APIs (pre-loan &le;300ms response, post-loan &le;500ms) for peak concurrency (thousands of requests/sec).
 </li>
 <li>
 Use Java ecosystems (Spring Boot/Cloud Alibaba, Nacos, Apollo, Seata) to ensure microservice stability and data consistency (e.g., prevent duplicate loans).
 </li>
 </ul>
 
 
 
 
 Risk Models &amp; Rules
 
 <ul>
 <li>
 Translate risk rules (CBIRC compliance, blacklists) and scoring models (A/B/C cards) into Java code.
 </li>
 <li>
 Develop a dynamic rule platform (online editing, grayscale release) and optimize efficiency (Redis caching, async computing).Integrate ML models (TensorFlow/PyTorch) as RESTful APIs for real-time scoring.
 </li>
 </ul>
 
 
 
 
 Data &amp; Monitoring
 
 <ul>
 <li>
 Connect to financial data sources (central bank credit, third-party providers like BaiRong) via MyBatis/Spring Data JPA; build risk data marts.
 </li>
 <li>
 Develop real-time dashboards (track NPL, M1/M3, fraud rate) and regulatory alerts (15-minute response).
 </li>
 <li>
 Process batch data with Flink/Spark (monthly credit sync, repayment calculations).
 </li>
 </ul>
 
 
 
 
 Compliance &amp; Security
 
 <ul>
 <li>
 Implement data security (desensitization, RBAC, audit logs) to meet Personal Information Protection Law.
 </li>
 <li>
 Support regulatory audits (AML, Internet Loan Measures) and fix system vulnerabilities (SQL injection, API bypass).
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 
 Basic Qualifications
 
 <ul>
 <li>
 Bachelor&rsquo;s in CS/Software/FinTech; 3+ years backend dev, 1.5+ years in financial credit risk (banks/consumer finance/fintech).
 </li>
 <li>
 Proficiency in Java (JDK 11+): JVM tuning, concurrency (ThreadPool); familiar with Spring Boot/Cloud, Seata, MySQL (sharding), Redis (cluster).
 </li>
 </ul>
 
 
 
 
 Core Skills
 
 <ul>
 <li>
 Experience in Java credit risk systems (full lifecycle) and rule engines (Drools/Easy Rules) preferred.
 </li>
 <li>
 Familiar with Flink/Spark for real-time/batch data; ability to design high-availability microservices (circuit breaking, distributed locks).
 </li>
 <li>
 Knowledge of financial security (API signature, SM4/SM2) and regulatory requirements (Cybersecurity Law).
 </li>
 <li>
 Preferred Experience in bank/fintech core credit systems
 </li>
 <li>
 ML model engineering (TensorFlow &rarr; Java APIs) or certifications (FRM, CISP, CFA).
 </li>
 </ul>
</div>

Java Software Engineer

SteerAI

<div>
 
 
 About SteerAI
 
 
 
 SteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council. SteerAI&rsquo;s advanced AI-powered autonomy stack, developed by the Technology Innovation Institute, empowers the logistics and defense industries by turning industrial vehicles into autonomous powerhouses that can handle complex off-road missions, transforming operations and protecting organizations' most important assets: their workforce.
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 We are seeking a Senior Automotive Cybersecurity Engineer to support the development of connected, software-defined and (semi-)autonomous vehicle systems. The role focuses on cybersecurity engineering activities across the product lifecycle, including TARA, cybersecurity concept and requirements, secure architecture, security validation, and support for production monitoring and incident response readiness.
 
 
 
 
 
 We are looking for an engineer with minimum 8 years of experience who can independently execute core cybersecurity work products and collaborate tightly with systems, software, E/E, cloud, and validation teams. As a growing company, we need someone proactive and resourceful&mdash;able to look up best practices, evaluate trade-offs, and help mature our cybersecurity governance as we scale, not just execute tickets.
 
 
 
 
 
 This role aligns with automotive cybersecurity expectations in ISO/SAE 21434 (road vehicles cybersecurity engineering) and the UN R155 cybersecurity management system expectations for vehicles placed on the market
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Automotive Cybersecurity (ISO/SAE 21434)
 
 
 <ul>
 <li>
 Own the cybersecurity engineering plan and ensure delivery of key work products across the lifecycle, consistent with ISO/SAE 21434 expectations.
 </li>
 <li>
 Lead cross-functional cybersecurity governance.
 </li>
 <li>
 Own security work products, completeness, and audit readiness.
 </li>
 </ul>
 
 
 Threat Analysis and Risk Assessment (TARA) and Cybersecurity Concept
 
 
 <ul>
 <li>
 Lead TARA at item/system level.
 </li>
 <li>
 Develop and maintain the Cybersecurity Concept and allocate requirements into a Technical Cybersecurity Concept.
 </li>
 </ul>
 
 
 Secure Architecture for Vehicle, Backend, and Operations
 
 
 <ul>
 <li>
 Lead security architecture reviews for E/E systems and connected services.
 </li>
 <li>
 Define security requirements for remote functions, including abuse case coverage and resilience strategies.
 </li>
 <li>
 Drive practical trade-offs: latency/availability vs. integrity controls, constrained ECU compute, real-world service/maintenance constraints, and manufacturability.
 </li>
 </ul>
 
 
 Security Verification, Validation, and Assurance
 
 
 <ul>
 <li>
 Define cybersecurity verification strategy and acceptance criteria.
 </li>
 <li>
 Lead security issue triage with engineering judgment.
 </li>
 </ul>
 
 
 CSMS / Type Approval Readiness (UN R155)
 
 
 <ul>
 <li>
 Own the engineering interface to CSMS expectations.
 </li>
 <li>
 Establish operational cybersecurity practices.
 </li>
 </ul>
 
 
 Secure Updates and Release Governance (UN R156 / ISO 24089)
 
 
 <ul>
 <li>
 Lead secure software update governance and engineering alignment with SUMS expectations (UN R156) and software update engineering processes (ISO 24089), including update risk assessment, package integrity/authenticity, deployment controls, rollback strategy, and traceability.
 </li>
 </ul>
 
 
 Supplier and Ecosystem Security
 
 
 <ul>
 <li>
 Flow down cybersecurity requirements to suppliers, review their security cases, manage interface threats across ECUs/sensors/actuators/TCU/cloud, and ensure evidence is usable for program sign-off and audits.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Computer/Electrical/Software Engineering, Systems Engineering, Cybersecurity
 
 , or similar.
 </li>
 <li>
 
 8+ years
 
 in embedded/automotive cybersecurity or security engineering for safety-/mission-critical systems
 </li>
 <li>
 Demonstrated experience applying
 
 ISO/SAE 21434
 
 on at least one real development program (OEM or Tier-1), including TARA, concept/requirements, and validation evidence.
 </li>
 <li>
 Strong understanding of
 
 UN R155 CSMS
 
 expectations and how to build audit-ready evidence and supplier alignment.
 </li>
 <li>
 Proven ability to lead security architecture for ECUs and connected systems (vehicle networks, diagnostics, OTA, cloud/mobile integration).
 </li>
 <li>
 Hands-on security judgment: threat modeling depth, realistic attack feasibility reasoning, cryptography fundamentals, and practical hardening/testing methods.
 </li>
 </ul>
 
 
 
 
 Nice to Have:
 
 <ul>
 <li>
 Experience implementing or assessing secure update engineering aligned with UN R156 / ISO 24089 (secure OTA design, governance, and evidence).
 </li>
 <li>
 Experience with HSMs, PKI, secure provisioning, and manufacturing key injection flows.
 </li>
 <li>
 Experience aligning cybersecurity with functional safety where security threats can create safety-relevant hazardous behavior (safety/security co-engineering).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What We Offer
 
 
 
 
 
 
 We provide a competitive, tax-free salary and a comprehensive benefits package in a collaborative, innovative, and inclusive work environment.
 
 
 Our benefits include an education allowance, free on-site meals, annual flight allowance, health coverage, relocation support (if applicable), and access to well-being activities such as sports and recreational events.
 
 
 Join us to drive innovation and shape the future of technology!
 
</div>

Senior Cybersecurity Engineer

TMC Middle East

<div>
 
 TMC Middle East is currently engaged in a project with one of our prestigious customers in UAE.
 
 
 We are seeking a highly capable Senior Data Scientist expert to help TMC to deliver this assignment.
 
 
 
 
 
 
 About the Role:
 
 
 
 Position: Senior Data Scientist
 
 
 Location: Abu Dhabi
 
 
 Experience: 8+ Years
 
 
 Preferred: Western &amp; Diverse candidates
 
 
 
 
 
 Technical Requirements
 
 
 ● Core AI/ML: Expert proficiency in Python and standard ML libraries (TensorFlow/PyTorch,
 
 
 Scikit-learn, Pandas, NumPy). Strong grasp of both supervised and unsupervised learning
 
 
 techniques.
 
 
 ● NLP &amp; LLMs: Deep experience with transformer-based models (GPT, BERT, Llama) and
 
 
 prompt engineering techniques (few-shot learning, fine-tuning) for domain-specific tasks.
 
 
 ● Data Engineering: Proficiency in handling complex data structures (JSON, XML) and
 
 
 familiarity with database querying (SQL/NoSQL) or graph data structures. Experience with
 
 
 data extraction from specialized formats is a significant plus.
 
 
 ● Backend Awareness: Understanding of how to expose models via RESTful APIs
 
 
 (Flask/FastAPI) and integrate them into larger software architectures.
 
 
 ● Statistics: Solid understanding of statistics, probability distribution, A/B testing. Adept at
 
 
 identifying and mitigating biases in datasets.
 
 
 
 
 
 Professional Qualifications
 
 
 ● Experience: 5+ years of experience in Data Science or Machine Learning, with a proven
 
 
 track record of deploying models into production environments.
 
 
 ● Domain Adaptability: Ability to quickly grasp complex domain terminology (e.g.,
 
 
 construction regulations, defense standards, supply chain taxonomies) and translate them
 
 
 into logic.
 
 
 ● Structured Delivery: Experience working in structured delivery models
 
 
 (Agile/Sprint-based) while adhering to rigorous validation and verification standards.
 
 
 ● Collaboration: Strong communication skills to work effectively with Domain Experts,
 
 
 Backend Engineers, and Product Managers to align model outputs with real-world
 
 
 business logic.
 
 
 
 
 
 Please share your CV with the title of
 
 Senior Data Scientist
 
 
 
 Mail ID : vigneshwari.sivalingam@tmc-employeneurs.com
 
</div>

Senior Data Scientist

Explore 171+ Backend engineer in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.