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ai engineer

Printerpix

<div><div>Printerpix is a fast-growing e-commerce brand making waves in the online photo printing and personalised gifting sector. Our team is growing rapidly as we expand into new marketing channels and new markets, and we need you to help us achieve our goals. This is your opportunity to join a fast-paced organisation that&rsquo;ll give you the chance to take on responsibility and progress your career quickly. 
</div><div>
At Printerpix, we&rsquo;re there for the milestones and the everyday. From a blanket printed with your family photos, to a photobook full of your greatest moments, bringing joy is what we do best. 
</div><div>
The Role: 
We&rsquo;re looking for a self-starting AI Engineer to join our Dubai team and build the intelligent systems that power our marketing. You&rsquo;ll architect agentic workflows that automate digital marketing across paid search, organic search, email, social media, and affiliate channels, driving measurable e-commerce growth across 9 international markets. This isn&rsquo;t a role where you wait for a ticket. You&rsquo;ll work alongside a small, fast-moving AI team that spots opportunities, prototypes solutions, and ships them. 
</div><div>
What You'll Do:</div><ul><li>
Design and build AI-powered workflows that automate marketing operations across paid search, SEO, email, social, and affiliate channels.</li><li>
Develop multi-agent systems and copilots for campaign planning, content generation, data analysis, and performance optimisation.</li><li>
Integrate AI systems with marketing platforms (Google Ads, Klaviyo, Meta, Search Console) via APIs for real-time data flow and automated decision-making.</li><li>
Build and maintain RAG pipelines connecting AI agents to company knowledge, product catalogues, and performance data.</li><li>
Collaborate with London team to identify and deliver high-impact automation.</li></ul><div>
</div><div>
What We're Looking For:</div><ul><li>
Experience with agentic AI frameworks (CrewAI, LangChain, LangGraph, or similar), you&rsquo;ve designed agents, defined tools, and built multi-step workflows.</li><li>
Hands-on experience building RAG pipelines including embedding models, chunking strategies, and vector databases (Pinecone, Chroma, FAISS).</li><li>
Strong Python skills, you write production code, not just notebook experiments.</li><li>
Experience with LLM APIs (OpenAI, Claude, Gemini, Mistral) including prompt engineering and structured output parsing.</li><li>
Ability to build API integrations and event-driven pipelines connecting marketing platforms and business systems.</li><li>
Understanding of digital marketing channels: Paid Search (Google Ads), SEO, Email Marketing, Social Media, and Affiliate.</li><li>
Self-starter mentality, you identify problems and build solutions without being asked. Show us what you&rsquo;ve built that nobody asked you to build.</li></ul><div>
 
Nice to have: MCP (Model Context Protocol), AI-assisted dev tools (Claude Code, Cursor, Copilot), Docker/CI/CD, e-commerce operations, or marketing platform API experience (Google Ads, Klaviyo, Meta, GA4). 
</div><div>
What You Get:</div><ul><li>
Modern tech stack, Claude Code, Cursor, CrewAI, LangChain, and the latest AI models.</li><li>
Small, high-output team where your ideas ship fast and your contributions are visible from day one.</li><li>
Real impact, AI you build directly drives marketing performance and revenue across 9 markets.</li><li>
Career growth, mentorship, and the opportunity to lead AI initiatives in a multinational enterprise.</li></ul><div>
 
APPLY NOW &mdash; BUILD THE AI THAT POWERS GLOBAL MARKETING 
 
Ahead of your interview, please be prepared to walk us through an AI project you&rsquo;ve built end-to-end, your architecture decisions, and something you built because you saw the opportunity, not because you were asked to.\</div></div>

AI Engineer (Marketing)

Marcura

<div>The Managed Port Calls team requires a Staff AI Engineer to drive AI innovation across our Marcura platform. This role exists to architect and deliver AI-powered features that enhance operational efficiency, predictive capabilities, and decision-making for stakeholders.
The role is hands-on execution&mdash;building production-grade AI systems, mentoring engineers on AI/ML best practices, and selecting appropriate technologies and frameworks. Working closely with product, backend, and data teams, you'll embed intelligence throughout the platform while ensuring our AI solutions are scalable, reliable, and deliver measurable business value.
Sample use cases that the role will require to build and manage:
<ul><li>Convert manual processes to fully automated processes</li><li>
Partially automate processes when full automation is not achievable</li><li>
Help improve efficiency for both operations team and customers</li><li>
Reduce the amount of manual (especially repetitive) work mainly for operations team</li><li>
Predict answers to questions based on an existing historical knowledge base</li><li>
Predict costs based on historical knowledge</li><li>
Chat bot style task automation</li></ul> 

Requirements 
<ul><li>
Bachelor's Degree in Information Technology, Data Science, Machine Learning/AI, Computer Science or other relevant fields</li><li>
Minimum of 8 years of experience in relevant fields including data science and AI
</li></ul>Machine Learning &amp; AI:<ul><li>
Experience with LLMs and building AI agents using frameworks like LangChain, LangGraph, and LangSmith</li><li>
Hands-on experience with prompt engineering, RAG (Retrieval-Augmented Generation), and LLM orchestration</li><li>
Knowledge of AI agent design patterns: reasoning, planning, tool use, and memory management</li><li>
Proven experience designing, training, and deploying ML models in production environments</li><li>
Understanding of ML fundamentals and MLOps practices: model versioning, monitoring, CI/CD pipelines</li><li>
Proficiency in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).</li></ul>
Programming:<ul><li>
Strong coding skills in languages such as Python,
</li><li>Good to have programming experience in Java,</li><li>
Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).</li></ul>
Cloud Computing:<ul><li>
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI models. [Azure is the preference]</li></ul>
Software Development:<ul><li>
Understanding of software development life cycle (SDLC) and agile methodologies.</li><li>
Experience with version control systems (e.g., Git).</li></ul>
Data Analysis:<ul><li>
Ability to analyze and interpret complex datasets.</li></ul>
Problem-Solving:<ul><li>
Strong analytical thinking to identify and solve operational inefficiencies.</li><li>
Ability to design and implement AI-driven solutions.</li></ul>
Communication:<ul><li>
Ability to explain complex technical concepts to non-technical stakeholders.</li><li>
Strong written and verbal communication skills.</li></ul>
Collaboration:<ul><li>
Experience working in cross-functional teams.</li><li>
Ability to collaborate with other developers, data scientists, and business analysts.</li></ul> 

Benefits 
<ul><li>
Competitive Salary and Bonus: We reward your expertise and contributions.</li><li>
Inclusive Onboarding Experience: Our onboarding program is designed to set you up for success right from day one.</li><li>
Marcura Wellness Zone: We value your work-life balance and well-being.</li><li>
Global Opportunities: Be part of an ambitious, expanding company with a local touch.</li><li>
Diverse, Supportive Work Culture: We&rsquo;re committed to inclusion, diversity, and a sense of belonging for all team members.</li></ul></div>

Generative AI Solutions Engineer

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
You will own the inference backbone behind QVAC's local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality at runtime level, including startup behavior, memory pressure, throughput/latency balance, and long-session stability. You will define and evolve the core abstractions that inference features depend on, so new capabilities can be added without sacrificing performance or maintainability. This is a role for someone who enjoys low-level problem solving, clear technical ownership, and building infrastructure that other teams trust in production. Your work directly enables private, on-device AI experiences and helps set the technical foundation for QVAC's next generation of peer-to-peer AI products.
Responsibilities<ul><li>
Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml, onnx</li><li>
Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments</li><li>
Integrate AI features into existing products, enriching them with the latest advancements in machine learning</li><li>
Managing a cross functional team (pod) made of middleware (JS), foundation (C++), QA and documentation engineers to produce high quality deliverables</li><li>
Regularly assessing, both qualitatively and quantitatively, our position in the market with regards to similar products or platforms</li><li>
Leveraging the expertise of technical architects to ensure robust architectural choices and code quality</li><li>
Ensuring stable releases by following precise internal release processes</li></ul><ul><li>
Excellent programming skills C++</li><li>
Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures</li><li>
Good understanding of deep learning concepts and model architectures</li><li>
Experience with transformers, LLMs, Diffusion Models</li><li>
Demonstrated ability to rapidly assimilate new technologies and techniques</li><li>
Has experience managing a small, specialized, cross functional team (pod) of 3-5 people</li><li>
Has a genuine passion for building good products that improve people's lives</li><li>
A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&amp;D</li></ul>
Bonus points if:<ul><li>
You have extensive experience with Javascript/Typescript</li><li>
You understand the difficulties, nuances and importance of p2p technology</li><li>
You have experience with any of Vulkan, Metal and OpenCL</li><li>
You have productionized models</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Lead AI Inference Engineer (100% Remote)

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The Backend Engineer is a pivotal role within the Technology Services group, designed to drive digital transformation and innovation in banking. You will be responsible for developing scalable, AI-powered applications and Generative AI (GenAI) solutions that enhance core banking processes and customer digital journeys. By integrating advanced analytics, conversational AI, and cloud-native architectures, you will build secure, modular systems that bridge the gap between complex data requirements and strategic business outcomes. This role requires a blend of technical mastery in modern frameworks and a deep understanding of banking operations to deliver high-impact enterprise platforms.
As the Backend Engineer, your responsibilities will include:<ul><li>
Application Development: Design, build, and deploy full-stack, AI-powered web applications using microservices and RESTful APIs.</li><li>
GenAI Integration: Implement Generative AI engineering principles, including Retrieval-Augmented Generation (RAG) and agentic workflows, into enterprise-grade digital platforms.</li><li>
Architecture &amp; Design: Create modular, scalable architectures and establish documentation standards and reusable templates for AI projects.</li><li>
Data Engineering: Design and implement robust data pipelines, pre-processing workflows, and governance frameworks to handle large, complex datasets.</li><li>
DevOps &amp; Deployment: Manage containerization (Docker) and CI/CD pipelines to ensure automated, secure, and scalable deployments.</li><li>
Collaboration: Act as an &quot;analytics translator&quot; between business units and IT, coordinating with UI/UX teams, Data Scientists, and AI Engineers to align technical builds with business growth.</li><li>
Compliance &amp; Standards: Adhere to all organizational policies, service standards, and procedural instructions to ensure consistent, high-quality delivery.</li></ul>
As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. 
Requirements 
The key requirements for this role are:<ul><li>
Proficiency in back-end frameworks (FastAPI, Flask, or Node.js) and front-end frameworks (React.js, Angular, or Vue.js).</li><li>
Strong grasp of GenAI engineering, LLM integration (Azure OpenAI), and RAG workflows.</li><li>
Hands-on experience with Azure or AWS ecosystems, including serverless deployments (Azure Functions/AWS Lambda) and cloud storage (S3, Blobs).</li><li>
Advanced coding skills in Python and JavaScript/TypeScript.</li><li>
Expert-level knowledge of Docker, container registries (ACR), and CI/CD automation.</li></ul>
You should also have the following:<ul><li>
A Bachelor&rsquo;s degree in a quantitative field such as Computer Science, Software Engineering, or a related discipline.</li><li>
A minimum of 5+ years in professional software development.</li><li>
Proven track record in building scalable, secure web applications and integrating AI models within a cloud-native environment (Azure preferred).</li><li>
Advanced knowledge of banking operations, terminologies, and financial services products.</li></ul>
It would be preferable if you also have:<ul><li>
The ability to analyse complex banking products and services to drive innovation and decision-making.</li><li>
Proven ability to translate complex technical/data requirements for non-technical internal stakeholders.</li><li>
The capacity to manage and motivate team members to contribute to change initiatives and continuous improvement.</li><li>
The ability to work effectively in an ad-hoc, fast-paced environment across different functional teams.</li></ul> 

Benefits 
Benefits &amp; Growth Opportunities:<ul><li>
Competitive salary.</li><li>
Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li><li>
Opportunity to work on cutting-edge AI projects.</li><li>
Career advancement opportunities in a rapidly growing AI company.</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

Backend Engineer

Oracle

<div>Qualifications &amp; Experience
<ul><li>8+ years of total experience, with 4+ years in AI/ML Engineering roles.
</li><li>Demonstrated experience leading end-to-end AI/ML solution design and production deployment.
</li><li>Proven track record in Generative AI, LLMs, NLP, and AI agent development.
</li><li>Expert in Python and familiar with modern ML/NLP frameworks: HuggingFace, LangChain, PyTorch, TensorFlow, etc.
</li><li>Experience fine-tuning LLMs for domain-specific applications (e.g., Q&amp;A systems, auto-documentation, predictive insights).
</li><li>Hands-on experience building, scaling, and optimizing AI systems on OCI, with knowledge of hybrid/multi-cloud architectures.
</li><li>Strong knowledge of machine learning algorithms, prompt engineering, vector databases, and RAG pipelines.
</li><li>Familiar with MLOps, model governance, and CI/CD for ML workflows.</li></ul></div>
 <div>Key Responsibilities
<ul><li>Architect, build, and deploy production-grade AI/ML models with a strong focus on GenAI, LLMs, and intelligent agents.
</li><li>Serve as a lead architect across multiple cross-functional teams delivering AI-enabled applications.
</li><li>Design scalable, cloud-native AI solutions using Oracle Cloud Infrastructure (OCI) and other multi-cloud platforms.
</li><li>Mentor teams on solution design, best practices, and delivery excellence for AI projects.
</li><li>Guide enterprise-wide AI architecture strategy, ensuring alignment with data strategy, DevOps, and security best practices.
</li><li>Engage with C-suite stakeholders to define AI priorities, value propositions, and roadmaps.
</li><li>Lead solution estimation, technical governance, and program oversight.
</li><li>Contribute to GTM initiatives, including customer-facing demos and proposal development.
</li><li>Stay current with the latest advancements in GenAI, LLM optimization, AI agent architectures, and model integration strategies.
</li>Publish internal whitepapers, present at leadership forums, and help grow the AI practice through coaching and community engagement. 
<li>
</li></ul><div></div>Core Competencies &amp; Technical Expertise
<ul><li>Enterprise Architecture &amp; AI Strategy
</li><li>Application Development (with focus on integrating AI into existing stacks)
</li><li>Multi-cloud &amp; Distributed Architecture (OCI expertise is a must; experience with AWS, Azure, or GCP also valuable)
</li><li>AI/ML Security &amp; Compliance
</li><li>DevOps &amp; Agile AI Delivery
</li><li>Integration &amp; Data Engineering Strategy
</li><li>Stakeholder Engagement &ndash; including Executive Leadership
</li><li>Program Oversight &amp; Governance
</li><li>Solution Design, Proposals, and Estimates
</li><li>Industry Vertical: Proficiency in at least one Industry vertical will be an added advantage.</li></ul></div>

Principal AI Architect – GenAI, LLMs & AI Agents

Lakera

<div>Lakera is seeking a Solutions Engineer to accelerate sales velocity, increase customer success and shape the product experience as we scale. In this customer-facing role, you&rsquo;ll be the primary technical point of contact through the sales process and a resource for customer success. You&rsquo;ll translate customer needs into solutions, architecting with Lakera&rsquo;s AI Defense Plane to help enterprises secure their AI stacks and unlock cutting-edge use cases.
You&rsquo;ll work closely with Sales, Customer Success, Product, and Engineering to ensure Lakera delivers on its mission. With your blend of technical expertise, communication skills, and customer empathy, you&rsquo;ll be at the forefront of AI security innovation.
About Lakera
Lakera, a Check Point company, is on a mission to ensure AI does what we want it to do. We are heading towards a future where AI agents run our businesses and personal lives. Here at Lakera, we're not just dreaming about the future; we're building the security foundation for it. We empower security teams and builders so that their businesses can adopt AI technologies and unleash the next phase of intelligent computing.
We work with Fortune 500 companies, startups, and foundation model providers to protect them and their users from adversarial misalignment. We are also the company behind Gandalf, the world&rsquo;s most popular AI security game.
We move fast and work with urgency. We act as one team but expect everyone to take substantial ownership and accountability. We prioritize transparency at every level and are committed to always raising the bar in everything we do. We promote diversity of thought as we believe that creates the best outcomes.
What You&rsquo;ll Do:<ul><li>
Act as the primary technical point of contact for prospects evaluating Lakera. Understand their needs and design solutions that align with their infrastructure using Lakera&rsquo;s platform.</li><li>
Partner with Customer Success to ensure customers onboard quickly and realize value from the platform.</li><li>
Develop and maintain technical documentation and guides to streamline pre-sales and guide post-sales workflows.</li><li>
Support product configuration and deliver minor technical changes required for prospect and customer implementations.</li><li>
Feed prospect feedback directly into Product and Engineering, helping shape the roadmap and ensuring the platform evolves with real-world needs.</li><li>
Lay the foundation for a scalable Solutions Engineering function by building playbooks and repeatable best practices.</li></ul>
What You&rsquo;ll Bring:<ul><li>
5+ years of experience as a Solutions Engineer, Sales Engineer, Solutions Architect, or similar role.</li><li>
A track record of managing relationships with large, complex organizations, preferably with a deeply technical enterprise product.</li><li>
Proficiency coding in the Python and Javascript ecosystems.</li><li>
A track record of enabling large scale implementations in at least one of the hyperscalers (AWS,GCP, Azure). Preferred experience with Docker, Kubernetes, and Terraform.</li><li>
An understanding of and experience navigating security, compliance, and IT processes and requirements when implementing B2B products at large enterprises.</li><li>
Strong written and verbal communication and interpersonal skills with a comfort presenting in front of customers 1:1, in small groups, and at large conference venues..</li><li>
A track record of working directly with customers of varying sizes, including large enterprises.</li><li>
An organized, self-starter approach with an eye for finding creative ways to get projects to the finish line.</li><li>
A passion for what AI can do for the good of humanity and a desire to ensure that it is implemented in a secure and ethical way.</li><li>
Comfortable in a small and fast moving startup environment.</li></ul>
Location: Dubai.
Logistics: Hybrid. We&rsquo;re excited about candidates who want to contribute to our in-office culture.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Compensation and Benefits: Our total compensation package is a blend of salary, equity and benefits.
We are committed to paying fairly and aim for these three elements collectively to be highly competitive with market rates. Equity - On top of this position's compensation, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size and communicate equity amounts at the time of offer issuance.<h3 class="jobSectionHeader">
Let's stay connected! Follow us on LinkedIn, Twitter &amp; Instagram to learn more about what is happening at Lakera.</h3><h3 class="jobSectionHeader">
Join us on Momentum, the slack community for AI Safety and Security everything.</h3><h3 class="jobSectionHeader">
To remove your information from our recruitment database, please email privacy@lakera.ai.</h3></div>

Solutions Engineer (Dubai)

Salt

<div>
 
 
 Staff Full-Stack Engineer (Java + React)
 
 
 
 
 Building the Next Generation of Agentic AI Platforms
 
 
 
 
 
 
 My client is building the next generation of agentic platforms and AI-powered enterprise systems.
 
 
 As a
 
 Staff Full-Stack Engineer
 
 , you won&rsquo;t just ship features- you&rsquo;ll architect the core systems that power intelligent workflows at scale. You&rsquo;ll design both the
 
 brains and nervous system
 
 of the platform: robust Java backend services paired with high-quality React.js interfaces.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Design, build, and scale end-to-end full-stack systems
 </li>
 <li>
 Architect backend services in
 
 Java (Spring Boot / microservices)
 
 </li>
 <li>
 REST APIs
 </li>
 <li>
 Asynchronous workflows
 </li>
 <li>
 Distributed state management
 </li>
 <li>
 Build modern frontend applications using
 
 React.js + TypeScript
 
 </li>
 <li>
 Integrate LLM-based agents, RAG pipelines, vector stores, and orchestration workflows
 </li>
 <li>
 Define and own API contracts for frontend, third-party, and enterprise integrations
 </li>
 <li>
 Ensure system performance, reliability, observability, and security
 </li>
 <li>
 Champion clean architecture, testing strategies, CI/CD, and documentation
 </li>
 <li>
 Influence platform-level architecture decisions
 </li>
 <li>
 Mentor engineers and elevate engineering standards across the team
 </li>
 </ul>
 
 
 
 
 
 What You Bring
 
 
 <ul>
 <li>
 9+ years of full-stack engineering experience
 </li>
 <li>
 Strong expertise in
 
 Java (Spring Boot / microservices)
 
 </li>
 <li>
 Deep experience building applications with
 
 React.js
 
 </li>
 <li>
 Experience with REST APIs, PostgreSQL, Redis, Kafka (or similar event systems)
 </li>
 <li>
 Strong frontend architecture and performance optimization skills
 </li>
 <li>
 Hands-on experience with GCP, Docker, and CI/CD pipelines
 </li>
 <li>
 Comfort operating in 0-to-1 and fast-scaling startup environments
 </li>
 <li>
 Strong communication skills and cross-functional collaboration ability
 </li>
 <li>
 Ownership mindset with a passion for building high-quality systems
 </li>
 </ul>
 
 
 
 
 *** Only successful candidates will be contacted ****
 
</div>

Staff Full Stack Engineer

Explore 788+ Ai engineer in Dubai United Arab Emirates this March. Find roles across top companies and apply now to boost your career.