civil engineer

procurement engineer

electrical engineer

mechanical engineer

project engineer

ai ml engineer

BRAIN

<div>About Brain Co.
Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley&rsquo;s leading builders &mdash; including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world&rsquo;s most important institutions - delivering impact on real-world problems.Our progress so far<ul><li>
Automated construction permitting for a sovereign government 80% faster, unlocking $375M+ in value</li><li>
Optimized supply chains for a leading global energy company 30% lower cost, 99% reliability, preventing $100M+ in losses</li><li>
Streamlined hospital patient care across national health systems 40% better outcomes, 80% less admin work</li><li>
Raised a $30M Series A from top investors</li><li>
Built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks</li></ul>
At Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.<h2 class="jobSectionHeader"> 
About The Role</h2>
As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.<h2 class="jobSectionHeader"> 
In This Role, You Will:</h2><ul><li>
Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.</li><li>
Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.</li><li>
Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.</li><li>
Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.</li><li>
Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.</li></ul><h2 class="jobSectionHeader"> 
You Might Thrive In This Role If You:</h2><ul><li>
Hold a BSc/Master&rsquo;s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.</li><li>
Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.</li><li>
Have at least a high level familiarity with the architecture and operation of large language models.</li><li>
Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.</li><li>
Possess a strong foundation in data structures, algorithms, and software engineering principles.</li><li>
Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.</li><li>
Can work collaboratively with cross-functional teams.</li><li>
Thrive in fast-paced environments where priorities or deadlines may compete.</li><li>
Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.</li></ul><h2 class="jobSectionHeader">
Benefits</h2><ul><li>
Competitive salary plus equity</li><li>
Daily lunches</li><li>
Commuter benefits</li><li>
401(k)</li><li>
Medical, Dental and Vision</li><li>
Unlimited PTO</li></ul><h2 class="jobSectionHeader">
Why Join Us</h2><ul><li>
Ship quickly, iterate constantly and see your work deployed at global scale</li><li>
Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more</li><li>
Accelerate your career with ownership based on impact, not tenure</li><li>
Earn competitive compensation + meaningful equity in a high-growth company</li><li>
Thrive in a culture built on speed, curiosity, and impact</li></ul>
If you want to see your work deployed at scale with real impact, Brain Co. is the place to build.
This is a hybrid role that can be based in either our Abu Dhabi or Doha office</div>

AI/ML Engineer, Deployed

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

AI Architect – GenAI, LLMs & AI Agents

Brainlake Advertising LLC

<div>Seeking a high-performing Prompt &amp; Agent Engineer (Senior Associate / Manager) to join a fast-paced engagement on-site in Doha, Qatar. This is a 3-month contract, extendable based on performance and project needs.
The primary purpose of the role is to rapidly design, build, and deploy AI agents and prompt-engineered solutions for different use cases. You will work hands-on with large language models &mdash; particularly Google Gemini &mdash; to develop production-ready agents that automate workflows, enhance citizen services, and drive operational efficiency across certain initiatives<ul>
<li>
Agent Development - Design, build, and deploy AI agents using Google Gemini and related frameworks to automate workflows and service delivery processes</li>
<li>Prompt Engineering - Craft, test, and optimize advanced prompts and prompt chains to maximize LLM output quality, accuracy, and reliability for production use cases
</li><li>Rapid Prototyping - Quickly build functional prototypes and MVPs of AI-powered tools, iterating fast based on stakeholder feedback and real-world testing</li>
<li>Integration and Orchestration - Connect AI agents with APIs, databases, and existing government systems using orchestration tools such as LangChain, Vertex AI Agent Builder, or similar frameworks</li>
<li>Evaluation and Testing - Develop evaluation benchmarks, test suites, and guardrails to ensure agent outputs are accurate, safe, and aligned with compliance requirements</li>
<li>Knowledge Transfer - Document agent architectures, prompt libraries, and best practices. Support internal teams in adopting and maintaining deployed solutions</li>
<li>Stakeholder Collaboration - Work closely with project leads, solution architects, and government stakeholders to translate business requirements into AI agent specifications and deliverables</li>
</ul>
Requirements<ul>
<li>
3-5 years of hands-on experience in AI/ML engineering, prompt engineering, or agent development with a strong bias for speed and execution</li>
<li>Demonstrated experience building agents and applications using Google Gemini (required), with familiarity in Vertex AI, Gemini API, and Agent Builder</li>
<li>Strong programming skills in Python with experience in LLM orchestration frameworks (LangChain, Llama Index, or equivalent)</li>
<li>Experience with RAG architectures, function calling, tool use, and multi-agent systems</li>
<li>Ability to work on-site in Doha, Qatar for the full engagement duration (3 months, extendable)</li>
<li>Fast learner who thrives under pressure with a ship-fast, iterate-fast mentality</li>
<li>Public sector or government consulting experience is a plus (Arabic is a plus)</li>
<li>Google Cloud or AI-related certifications are a bonus</li></ul></div>

Prompt and Agent Engineer

<div><h1 class="jobSectionHeader">About Brain Co.</h1>
Brain Co. is at the leading edge of productionizing artificial intelligence for real world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real world problems in various governments where manual work is still dominant.
<h2 class="jobSectionHeader">About the Role</h2>
We&rsquo;re growing our AI Deployment team in Abu Dhabi and Doha. In this role, you'll work at the intersection of AI product delivery and customer engagement helping define, shape, and drive AI-powered solutions that address mission-critical challenges in finance, energy, and government sectors.
You&rsquo;ll collaborate closely with data scientists, engineers, and senior stakeholders to translate complex business needs into actionable technical solutions. As the voice of the customer, you&rsquo;ll lead agile delivery cycles, ensure high-quality outcomes, and foster long-term relationships built on trust and impact.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Define &amp; Prioritize Features: Work with customers to identify high-impact problems and define AI-driven product features to address them.</li><li>
Translate Business Needs: Convert customer requirements into clear technical specifications and use cases for internal teams.</li><li>
Lead Agile Delivery: Oversee agile sprints and project timelines, ensuring timely and high-quality solution delivery.</li><li>
Drive Adoption: Travel regionally to engage with users, onboard stakeholders, and gather direct product feedback for continuous improvement.</li><li>
Collaborate Cross-Functionally: Serve as the bridge between customers and internal teams including data scientists, engineers, and product leads.</li><li>
Act as Customer Champion: Build trusted relationships and ensure the long-term success of deployed solutions.</li></ul><h2 class="jobSectionHeader"> 
What We&rsquo;re Looking For</h2><ul><li>
Experience:<ul><li>
3-5 years in customer success, product management, delivery consulting, or technical account management.</li><li>
Experience at top-tier product or consulting organizations (e.g., Palantir, Google, Amazon, BCG, McKinsey, etc.)
</li></ul></li><li>Technical Fluency:<ul><li>
Strong understanding of AI/ML concepts, data workflows, and model deployment processes.</li><li>
Ability to discuss and assess technical trade-offs with engineering teams.</li></ul></li><li>
Communication &amp; Relationship Skills:<ul><li>
Proven ability to build rapport and trust with enterprise customers and senior stakeholders.</li><li>
Excellent written and verbal communication, including the ability to simplify technical details for non-technical audiences.</li></ul></li><li>
Execution &amp; Ownership:<ul><li>
Hands-on mindset with a bias for action and a strong sense of ownership.</li><li>
Experience managing agile product or project delivery cycles.</li></ul></li><li>
Mobility:<ul><li>
Willingness to travel within the region to meet customers and oversee deployments on-site.</li></ul></li></ul><h2 class="jobSectionHeader"> 
Why Join Us?</h2><ul><li>
Work on transformative AI projects with high-impact clients.</li><li>
Join a collaborative, mission-driven team at the forefront of applied machine learning.</li><li>
Operate in a fast-paced, agile environment with real-world outcomes.</li></ul></div>

AI Deployment Lead

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

noon

<div>
 
 
 About noon
 
 
 
 We&rsquo;re building an ecosystem of digital products and services that power everyday life across the Middle East&mdash;fast, scalable, and deeply customer-centric. Our mission is simple yet bold: Every door, every day.
 
 
 
 
 
 
 About the Role
 
 
 
 As an SDE-2 in the
 
 Vector
 
 squad at
 
 Everyday Labs
 
 , you will join a high-leverage engineering initiative designed to architect and deploy advanced technical solutions for the company&rsquo;s most critical challenges. Vector serves as the bridge between raw AI capability and practical engineering execution. We utilize internal foundational AI infrastructure, specifically
 
 Model Context Protocol (MCP)
 
 and
 
 LLM integration layers, to build
 
 applications and engineering tools that drive massive operational impact. Whether it&rsquo;s an AI-driven Talent Mapping Engine or a custom Application Tracking System, Vector focuses on turning cutting-edge tech into high-reliability products.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 
 Architect High-Impact Applications:
 
 Lead the engineering effort for key products such as our AI-driven Talent Mapping Engine (Vertex AI), "NoonLaundry," and sophisticated internal App integrations using OpenAI&rsquo;s SDK.
 </li>
 <li>
 
 Operational Excellence:
 
 Build and scale engineering tools that solve internal bottlenecks, ensuring that AI-native experiences are grounded in practical, high-performance code.
 </li>
 <li>
 
 Professional Ownership:
 
 Take full ownership of service reliability, correctness, and architecture, applying SDE-2 standards to ensure systems are robust and maintainable.
 </li>
 <li>
 
 AI Implementation:
 
 Work with domain experts to refine how we evaluate LLM outputs and improve response quality over time within our production environments.
 </li>
 <li>
 
 Collaborative Engineering:
 
 Partner with internal infrastructure teams to influence the development of our Model Context Protocol (MCP) layers.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 
 Professional Depth:
 
 5+ years of impactful experience as a Software Development Engineer, specifically building and maintaining
 
 large-scale services
 
 .
 </li>
 <li>
 
 Python Expertise:
 
 Deep, professional-level experience with
 
 Python
 
 . You are expected to write clean, idiomatic, and performance-oriented code.
 </li>
 <li>
 
 Reliability Mindset:
 
 A strong focus on correctness and reliability. You have a track record of building services that handle production loads gracefully and are easy to monitor and debug.
 </li>
 <li>
 
 User-Centric Impact:
 
 A mindset that prioritizes real-world impact. You understand that the best code is the code that solves a significant problem for the user or the business.
 </li>
 <li>
 
 Technical Maturity:
 
 You bring the discipline of a seasoned engineer valuing documentation, unit testing, and architectural clarity.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 
 AI System Integration:
 
 Previous experience integrating with AI/ML ecosystems (e.g., Vertex AI, OpenAI).
 </li>
 </ul>
 
 
 
 
 
 MCP Knowledge:
 
 Familiarity with the
 
 Model Context Protocol (MCP)
 
 for connecting LLMs to external data and tools.
 
 
 
</div>

Software Development Engineer 2 "Backend"

Explore 545+ Ai ml engineer in Dubai this February. Find roles across top companies and apply now to boost your career.