project engineer

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staff engineer

Lean Technologies

About the role Our core product aligns with and empowers developers to build the financial applications they are passionate about. As a Staff Software Engineer, you will take a leading role developing and building the product line that will underpin the future of the financial ecosystem. We are looking for a highly motivated, resilient problem-solver. Someone who seeks out challenges and is ready to implement compelling solutions to complex problems. Your role will consist of knowledge sharing across the entire engineering team, and mentoring and coaching individuals as well. Requirements <ul> <li>10+ years of experience in backend software engineering, with deep expertise in Java, Spring Boot, and microservices.</li> <li>Strong experience with PostgreSQL, REST APIs, and scalable system design.</li> <li>Proven ability to build and maintain production-grade distributed systems in cloud environments.</li> <li>Drive engineering excellence through reviews, technical mentorship, and best practices.</li> <li>To be self-motivated and comfortable with autonomy, taking ownership end-to-end from design through production monitoring.</li> <li>Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to multidisciplinary teams and influence positive outcomes.</li> <li>Clear product sense and a true passion for technology and a drive to solve problems at scale, keeping the customer at the forefront of every decision.</li> <li>Track record of mentorship, elevating technical quality across teams, and influencing without authority.</li> </ul> <ul> </ul>

Staff Engineer

Delivery Hero

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. 
Job Description 
Summary
 As the leading delivery platform in the region, we have a unique responsibility and opportunity to positively impact millions of customers, restaurant partners, and riders. To achieve our mission, we must scale and continuously evolve our machine learning capabilities, including cutting-edge Generative AI (genAI) initiatives. This demands robust, efficient, and scalable ML platforms that empower our teams to rapidly develop, deploy, and operate intelligent systems.
As an ML Platform Engineer, your mission is to design, build, and enhance the infrastructure and tooling that accelerates the development, deployment, and monitoring of traditional ML and genAI models at scale. You&rsquo;ll collaborate closely with data scientists, ML engineers, genAI specialists, and product teams to deliver seamless ML workflows&mdash;from experimentation to production serving&mdash;ensuring operational excellence across our ML and genAI systems. 
Qualifications 
Responsibilities<ul><li>
Design, build, and maintain scalable, reusable, and reliable ML platforms and tooling that support the entire ML lifecycle, including data ingestion, model training, evaluation, deployment, and monitoring for both traditional and generative AI models. 
</li><li>Develop standardized ML workflows and templates using MLflow and other platforms, enabling rapid experimentation and deployment cycles. 
</li><li>Implement robust CI/CD pipelines, Docker containerization, model registries, and experiment tracking to support reproducibility, scalability, and governance in ML and genAI. 
</li><li>Collaborate closely with genAI experts to integrate and optimize genAI technologies, including transformers, embeddings, vector databases (e.g., Pinecone, Redis, Weaviate), and real-time retrieval-augmented generation (RAG) systems. 
</li><li>Automate and streamline ML and genAI model training, inference, deployment, and versioning workflows, ensuring consistency, reliability, and adherence to industry best practices. 
</li><li>Ensure reliability, observability, and scalability of production ML and genAI workloads by implementing comprehensive monitoring, alerting, and continuous performance evaluation. 
</li><li>Integrate infrastructure components such as real-time model serving frameworks (e.g., TensorFlow Serving, NVIDIA Triton, Seldon), Kubernetes orchestration, and cloud solutions (AWS/GCP) for robust production environments. 
</li><li>Drive infrastructure optimization for generative AI use-cases, including efficient inference techniques (batching, caching, quantization), fine-tuning, prompt management, and model updates at scale. 
</li><li>Partner with data engineering, product, infrastructure, and genAI teams to align ML platform initiatives with broader company goals, infrastructure strategy, and innovation roadmap. 
</li><li>Contribute actively to internal documentation, onboarding, and training programs, promoting platform adoption and continuous improvement.</li></ul>
Requirements
Technical Experience<ul><li>
Strong software engineering background with experience in building distributed systems or platforms designed for machine learning and AI workloads. 
</li><li>Expert-level proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch), infrastructure tooling (MLflow, Kubeflow, Ray), and popular APIs (Hugging Face, OpenAI, LangChain). 
</li><li>Experience implementing modern MLOps practices, including model lifecycle management, CI/CD, Docker, Kubernetes, model registries, and infrastructure-as-code tools (Terraform, Helm). 
</li><li>Demonstrated experience working with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed ML services (e.g., Vertex AI, SageMaker). 
</li><li>Proven experience with generative AI technologies: transformers, embeddings, prompt engineering strategies, fine-tuning vs. prompt-tuning, vector databases, and retrieval-augmented generation (RAG) systems. 
</li><li>Experience designing and maintaining real-time inference pipelines, including integrations with feature stores, streaming data platforms (Kafka, Kinesis), and observability platforms. 
</li><li>Familiarity with SQL and data warehouse modeling; capable of managing complex data queries, joins, aggregations, and transformations. 
</li><li>Solid understanding of ML monitoring, including identifying model drift, decay, latency optimization, cost management, and scaling API-based genAI applications efficiently.</li></ul>
Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field; advanced degree is a plus. 
</li><li>2+ years in a tech lead role, 5+ years of experience in ML platform engineering, ML infrastructure, generative AI, or closely related roles.</li><li>
Proven track record of successfully building and operating ML infrastructure at scale, ideally supporting generative AI use-cases and complex inference scenarios. 
</li><li>Strategic mindset with strong problem-solving skills and effective technical decision-making abilities. 
</li><li>Excellent communication and collaboration skills, comfortable working cross-functionally across diverse teams and stakeholders. 
</li><li>Strong sense of ownership, accountability, pragmatism, and proactive bias for action.</li></ul></div>

Staff Engineer - ML Platform

Client of Orbis Group

Staff Software Engineer Responsibilities 
<ul>
<li>Build high-quality, production-ready code for enterprise customers tackling complex AI problems</li>
<li>Lead the design and building of AI-driven systems with emerging technologies</li>
<li>Work in a tight-knit collaborative squad, interfacing closely with the customer to craft elegant solutions</li>
</ul>
 Staff Software Engineer Requirements 
<ul>
<li>5+ years of experience as an engineer ideally with exposure to various technologies such as Python, Java, Typescript, React etc.</li>
<li>Compsci background strong data structures and algorithms</li>
<li>Experience working in a high performing engineering culture or founding experience</li>
<li>Some experience or interest with AI LLMs, RAG etc.</li>
</ul>
The organization offers significant equity, unlimited PTO, full medical/dental/vision, and many other perks.
If you d like to work with an extremely talented team of engineers as they solve fascinating problems, at scale, using various tools, please do not hesitate to apply!

Staff Software Engineer

As a hands on engineering leader, you d be responsible for building products 0-1 from idea through to production.
Staff Software Engineer Responsibilities
<ul>
<li>Build high-quality, production-ready code for enterprise customers tackling complex AI problems</li>
<li>Lead the design and building of AI-driven systems with emerging technologies</li>
<li>Work in a tight-knit collaborative squad, interfacing closely with the customer to craft elegant solutions</li>
</ul>
Staff Software Engineer Requirements
<ul>
<li>5+ years of experience as an engineer ideally with exposure to various technologies such as Python, Java, Typescript, React etc.</li>
<li>Compsci background strong data structures and algorithms</li>
<li>Experience working in a high performing engineering culture or founding experience</li>
<li>Some experience or interest with AI LLMs, RAG etc.</li>
</ul>
If you d like to work with an extremely talented team of engineers as they solve fascinating problems, at scale, using various tools, please do not hesitate to apply!

Staff Software Engineer Gen AI

We are looking for a highly motivated, resilient problem-solver. Someone who seeks out challenges and is ready to implement compelling solutions to complex problems. Your role will consist of knowledge sharing across the entire engineering team, and mentoring and coaching individuals as well.
Requirements
<ul>
<li>10+ years of experience in backend software engineering, with deep expertise in Java, Spring Boot, and microservices.</li>
<li>Strong experience with PostgreSQL, REST APIs, and scalable system design.</li>
<li>Proven ability to build and maintain production-grade distributed systems in cloud environments.</li>
</ul>
Drive engineering excellence through reviews, technical mentorship, and best practices.
To be self-motivated and comfortable with autonomy, taking ownership end-to-end from design through production monitoring.
Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to multidisciplinary teams and influence positive outcomes.
Clear product sense and a true passion for technology and a drive to solve problems at scale, keeping the customer at the forefront of every decision.
Track record of mentorship, elevating technical quality across teams, and influencing without authority.
Bonus
<ul>
<li>Strong foundation in Python.</li>
<li>Experience working with credit risk and underwriting solutions.</li>
<li>Startup/fast-paced environment experience preferred.</li>
<li>Hands-on experience across ML/AI infrastructure domains (e.g., feature stores, pipelines, deployment, inference, observability) or data engineering domain.</li>
</ul>

Nameless Ventures

<div>
 
 Now this is a seriously chunky role. 😬
 
 
 
 
 
 
 
 
 We've partnered with an AI scaleup with an indisputable future as an absolute global powerhouse in technology. Originally based in SF, they've recently won some huge contracts in the Middle East and are now scaling out a brand new office here in Dubai. 🇦🇪
 
 
 
 
 
 It's safe to say that it feels like every company in the world is trying to bridge the gap between AI in theory and AI in practice. The scaleup we've partnered with closes this gap with world-class engineering talent and fully customised end-to-end AI builds.
 
 
 
 
 
 You'll be building and architecting generative AI projects for some of the top companies from across the world whilst having the ability to bounce between the projects that you find most challenging, interesting and engaging.
 
 
 
 
 
 🛠
 
 More specifically, though, you'll be:
 
 
 
 
 
 <ul>
 <li>
 Partnering with high-caliber teams and companies across the full project lifestyle - from requirements gathering, to prototyping, system design, coding, testing and deployment.
 </li>
 <li>
 Shipping LLM applications across more companies/projects than the vast majority of engineers in the world.
 </li>
 <li>
 Shaping their wider engineering and office culture in DXB - you&rsquo;ll help them create an environment that engineers love working in.
 </li>
 </ul>
 
 
 
 
 👇
 
 What you'll have:
 
 
 
 
 
 <ul>
 <li>
 5+ years of experience within software engineering. More importantly, though, you'll have an absolute love for what you do.
 </li>
 <li>
 A strong proficiency with modern technologies across the entire stack. Crucially, they need a proper problem solver that can be versatile with their approach.
 </li>
 <li>
 A track record building and tinkering with LLM's - whether it's in your free time or your day-to-day, you'll have experimented with frameworks like LangChain, Langsmith, LlamaIndex and so on.
 </li>
 <li>
 A desire to talk directly to your customers: you care about what they need and can easily navigate customer conversations to ensure what you're building meets their needs (even if these change suddenly).
 </li>
 </ul>
 
 
 
 
 
 Here's what they're offering:
 
 
 
 
 
 <ul>
 <li>
 🏦
 
 50k-60k AED P/M.
 
 </li>
 <li>
 🌴 30+ days vacation every year (plus bank holidays).
 </li>
 <li>
 🏥 The best
 
 medical insurance
 
 to keep you and your family healthy.
 </li>
 <li>
 🇦🇪 A full relocation package for those of you moving to Dubai.
 </li>
 <li>
 🎉 A wider benefits scheme which is being finalised as we speak.
 </li>
 </ul>
 
 
 
 
 Interested in finding out more? Hit that apply button and we'll be in touch if your profile is a good match. 🙌
 
 
 
</div>

careem

Calling senior technology leaders to shape the future of engineering in the Middle East!
Are you a senior tech leader with deep roots in the Middle East, looking for a way to bring your global experience back to the region? Have you been considering a move, driven by a desire to make a lasting impact?
At Careem, our journey started with a simple purpose: to simplify and improve the lives of people in the Greater Middle East. From our beginnings as a ride-hailing service, we ve grown into the region s first Everything App, but our mission remains the same. We re not just a tech company; we re a team of builders, dreamers, and doers, working to create a better future for our region.
We re looking to connect with senior tech professionals like you. If you ve built and scaled complex engineering systems, platforms, or infrastructure in high-growth tech environments, we want to hear from you. Your expertise is exactly what s needed to shape the future of engineering culture and technical foundations in the region.
We re particularly interested in leaders who:
<ul>
<li>
Lead Internal Engineering Initiatives: Design and build scalable, secure, and maintainable systems that accelerate engineering productivity and reliability across Careem.
</li>
<li>
Architect Scalable Solutions: Define system architecture for complex backend systems with a focus on performance, modularity, and extensibility, leveraging deep expertise in Java, Golang, and modern platforms.
</li>
<li>
Drive Impact in Data &amp; AI: Apply machine learning, platformization, and agentic AI innovation to unlock new capabilities and improve customer experiences at scale.
</li>
<li>
Product Mindset &amp; Strategic Influence: Shape roadmaps and drive technical decisions with a product-centric mindset, ensuring solutions directly impact customer and business outcomes.
</li>
<li>
Technical Excellence &amp; Culture: Uphold high standards in code quality, system design, testing, and operational excellence while nurturing a strong engineering culture across MENA.
</li>
<li>
Mentorship and Knowledge Sharing: Mentor engineers across teams, foster continuous learning, and grow technical leadership capacity within the organization.
</li>
<li>
Efficiency and Automation: Streamline workflows and reduce toil through automation in CI/CD, observability, and configuration management.
</li>
<li>
Cross-functional Collaboration: Partner with platform, infrastructure, product, and security teams to deliver robust and aligned solutions.
</li>
<li>
Long-term Vision &amp; Purpose: Contribute to Careem s mission of shaping the future of mobility, fintech, and everyday services in the region by building lasting technical foundations
</li>
</ul>
This is your chance to use your skills and experience to truly make a difference. We are creating an Everything App that will have a massive positive impact on our communities. We're creating income opportunities for our Captains and simplifying daily life for our customers.
This is more than a job. It's an opportunity to lead a mission that matters.
Ready to shape the future of the Middle East?

Staff Software Engineer I

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