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ai engineer

Make Fortune Business Solutions

About UsReal Law AI is a legal tech startup in the UAE. Founded in 2024, we already have 500+ paying users.What You&rsquo;ll Do (Key Responsibilities)<ul><li>Build the core AI chatbot with RAG.</li><li>Optimize RAG pipelines.</li><li>Develop semantic search (Elasticsearch).</li><li>Work with LLMs.</li><li>Engineer data pipelines.</li><li>Ensure integrations and collaboration across systems.</li></ul>Who You Are (Required Skills)<ul><li>Proven experience as an AI/ML Engineer with a strong project portfolio in NLP and/or Conversational AI.</li><li>Solid hands-on expertise with Python and ML frameworks (e.g., PyTorch, Hugging Face, LangChain).</li><li>Strong track record in building and deploying RAG systems and working with vector databases (e.g., Pinecone, Milvus, Weaviate).</li><li>Strong understanding of search technologies, especially Elasticsearch.</li><li>Strong foundation in NLP concepts, including transformers, embeddings, and NER.</li><li>Experience with cloud infrastructure and services (e.g., AWS S3).</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field.</li></ul>Nice to Have (Preferred Skills)<ul><li>Experience with different open-source and proprietary LLMs.</li><li>Experience with Arabic NLP.</li><li>Familiarity with MLOps principles and tools for deploying and monitoring models.</li><li>Passion for building intuitive user interfaces.</li></ul>If you are a creator passionate about developing intelligent conversational AI to solve real, meaningful problems, we want to hear from you. Apply now and help us build the future of law.What We Offer<ul><li>Competitive salary (negotiable).</li><li>Friendly, non-toxic team culture.</li><li>Flexible format: hybrid or remote work.</li></ul>Job Types: Full-time, Temporary, ContractApplication Question(s):<ul><li>How many years of work experience do you have with Python?</li></ul><ul><li>How many years of proven experience as an AI/ML Engineer in NLP do you have?</li></ul>

AI Engineer

Fuse Energy

<div>
 Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
 
 
 We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.
 
 
 But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.
 
 
 We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)
 </li>
 <li>
 Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows
 </li>
 <li>
 Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms
 </li>
 <li>
 Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing
 </li>
 <li>
 Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts
 </li>
 <li>
 Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space
 </li>
 <li>
 Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 3 years of engineering experience
 </li>
 <li>
 Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning
 </li>
 <li>
 Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)
 </li>
 <li>
 Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production
 </li>
 <li>
 Solid understanding of cloud technologies, containerisation and building scalable AI applications
 </li>
 <li>
 Ability to integrate AI/ML models into real-world applications, focusing on usability and performance
 </li>
 <li>
 Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment
 </li>
 <li>
 Experience working with large datasets, particularly in relation to demand and supply forecasting
 
 
 </li>
 </ul>
 
 Bonus
 
 
 
 <ul>
 <li>
 Experience or strong interest in energy markets and trading strategies
 </li>
 <li>
 Understanding of weather forecasting, energy demand patterns, and production modelling
 </li>
 <li>
 Exposure to Natural Language Processing (NLP) or other related fields
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and an equity sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs
 </li>
 <li>
 Paid annual leave
 </li>
 <li>
 Breakfast and dinner for office based employees
 </li>
 </ul>
</div>

Applied AI Engineer

BRIDGEPORT INVESTMENT IN COMMERCIAL ENTERPRISES & MANAGEMENT LLC

We are looking for an experienced AI Engineer &ndash; Team Lead to design, develop, and deploy cutting-edge AI/ML solutions while managing and mentoring a team of engineers. The ideal candidate should have hands-on expertise in AI technologies (NLP, computer vision, predictive modeling), along with proven experience in team leadership, project management, and stakeholder collaboration.Key Responsibilities<ul><li>Lead a team of AI/ML engineers, ensuring high-quality delivery and professional growth.</li><li>Architect, design, and implement AI/ML models for various business use cases.</li><li>Oversee deployment of models into production environments, ensuring scalability and stability.</li><li>Guide the team in data preprocessing, feature engineering, and model optimization.</li><li>Collaborate with product managers, data scientists, and stakeholders to align AI solutions with business goals.</li><li>Conduct regular code reviews, performance evaluations, and knowledge-sharing sessions.</li><li>Stay updated with advancements in AI/ML frameworks, tools, and methodologies.</li><li>Manage project timelines, allocate resources, and ensure delivery within deadlines.</li><li>Ensure compliance with data governance, ethics, and security standards.</li></ul>Qualifications &amp; Skills<ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, AI, Data Science, or related field.</li><li>6&ndash;10 years of experience in AI/ML, with at least 2&ndash;3 years in a leadership/team management role.</li><li>Strong knowledge of Python, TensorFlow, PyTorch, Scikit-learn, Keras.</li><li>Experience with MLOps practices, cloud platforms (AWS, Azure, GCP), and CI/CD pipelines.</li><li>Solid understanding of NLP, computer vision, deep learning, and big data tools.</li><li>Proven ability to lead teams, manage projects, and mentor junior engineers.</li><li>Excellent communication skills in English; Arabic is a plus.</li></ul>Compensation &amp; Benefits<ul><li>Salary: AED 18,000 &ndash; 25,000 (depending on experience).</li><li>Performance-based bonuses and incentives.</li><li>Medical insurance and benefits as per UAE labor law.</li><li>Career progression into Head of AI / Data Science leadership roles.</li></ul>Job Type: Full-timePay: AED15,000.00 - AED25,000.00 per monthLocation:<ul><li>Dubai (Required)</li></ul>

AI Engineer Lead

Intellect Design Arena Ltd

<div>
 
 
 About Us:
 
 
 
 Intellect Design Arena Ltd is a global leader in enterprise-grade financial technology, delivering composable and intelligent solutions to forward-looking financial institutions across 61 countries. With three decades of domain expertise, our product suite spans Wholesale Banking, Consumer Banking, Central Banking, Wealth, Capital Markets, Treasury, Insurance and Digital Technology for Commerce. Applying First Principles Thinking and Design Thinking, we have elementalised the financial services landscape into a finite set of Events, Microservices, and APIs, enabling faster, modular transformation with measurable outcomes.
 
 
 
 
 At the heart of this are eMACH.ai, the world&rsquo;s most comprehensive, composable and intelligent open finance platform; Purple Fabric, the world&rsquo;s first Open Business Impact AI platform; and iTurmeric, our composable platform for seamless integration and configuration. We are a pioneer in applying Design Thinking and our 8012 FinTech Design Center, the world&rsquo;s first Design Center dedicated to Design Thinking Principles, underscores our commitment to continuous and impactful innovation, addressing the ever-growing need for digital transformation. We proudly serve over 500+ customers worldwide, supported by a diverse workforce of solution architects, and domain and technology experts in major global financial hubs. For more information, visit
 
 www.intellectdesign.com
 
 
 
 
 
 
 
 
 
 
 Role Overview:
 
 
 
 As an AI Engineer, you will work directly with clients to own the implementation of AI solutions using our AI platform. You will build and deploy end-to-end AI workflows, taking projects from concept to production, and solving complex, real-world challenges at scale. Your insights and learnings from client engagements will directly contribute to the evolution of our platform, ensuring we stay at the forefront of AI innovation.
 
 
 You will play a key role in expanding our presence into new markets and problem spaces unlocked by Generative AI.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Deliver Production-Ready AI Solutions:
 
 Design and deploy AI Agents, data processing pipelines, that are robust, scalable, and suitable for real-world applications.
 </li>
 <li>
 
 Solve Real Business Problems:
 
 Focus on practical AI solutions that address tangible business challenges, moving beyond theoretical approaches.
 </li>
 <li>
 
 Collaborate Across Teams:
 
 Work effectively with both technical and non-technical stakeholders to ensure clear communication and smooth project execution.
 </li>
 <li>
 
 Adapt in Dynamic Environments:
 
 Operate comfortably in fast-paced, evolving settings, adjusting quickly to shifting objectives and direct user feedback.
 </li>
 <li>
 
 Drive Innovation and Growth:
 
 Embrace an entrepreneurial mindset, continuously learning, innovating, and striving to make a high impact in a rapidly changing field.
 </li>
 <li>
 
 Client Interaction and Strategy Development:
 
 Engage with clients to understand their challenges, develop AI strategies, and translate their needs into actionable technical solutions.
 </li>
 <li>
 
 Deploying Solutions to Production:
 
 Move AI workflows from prototype to production, ensuring they integrate smoothly into client environments and solve real-world problems.
 </li>
 <li>
 
 Iterating and Improving:
 
 Continuously enhance deployed solutions based on feedback and evolving requirements, focusing on debugging, performance improvement, and workflow adaptation.
 </li>
 <li>
 
 Contributing to Platform Evolution:
 
 Share field insights to influence the development of new features and capabilities within the AI platform, aligning it with market needs.
 </li>
 </ul>
 
 
 Key Traits:
 
 
 <ul>
 <li>
 
 Technical Proficiency:
 
 Expertise in building and deploying AI models, data pipelines, and advanced analytics in production environments.
 </li>
 <li>
 
 Problem-Solver:
 
 Ability to design practical, impactful AI solutions that address real business challenges, focusing on tangible outcomes
 </li>
 <li>
 
 Collaborative:
 
 Effective communication skills to work with diverse teams, including technical and non-technical stakeholders, and explain complex AI concepts in understandable terms.
 </li>
 <li>
 
 Adaptable:
 
 Comfortable working in dynamic, fast-paced environments with evolving objectives, quickly iterating on solutions based on feedback.
 </li>
 <li>
 
 Innovative and Entrepreneurial:
 
 Passion for continuous learning, innovation, and applying an entrepreneurial approach to drive impact and growth.
 </li>
 <li>
 
 Client-Focused:
 
 Strong ability to engage directly with clients, understand their needs, and align AI strategies with business objectives.
 </li>
 <li>
 
 Detail-Oriented:
 
 Focus on refining, testing, and fine-tuning AI solutions for optimal performance in real-world settings.
 </li>
 <li>
 
 Continuous Learner:
 
 Commitment to staying updated on the latest AI technologies, tools, and methodologies, exploring new approaches to keep skills and solutions cutting-edge.
 </li>
 </ul>
 
 
 Skills and Qualifications:
 
 
 <ul>
 <li>
 Proven experience developing solutions using Generative AI models, with a strong understanding of the AI landscape and related technologies.
 </li>
 <li>
 Solid foundation in Machine Learning principles, including evaluation, training, and problem decomposition.
 </li>
 <li>
 Strong background in engineering or a related technical field such as Computer Science, Mathematics, Software Engineering, Physics, or Machine Learning.
 </li>
 <li>
 Proficiency in programming languages such as Python, Java, C++, JavaScript/TypeScript, or similar.
 </li>
 </ul>
 
 
 
 
 
 
 
 This role is a blend of technical innovation, strategic consulting, and hands-on problem-solving, making each day varied, challenging, and impactful.
 
 
 
</div>

Generative AI Engineer

<div>
 
 Lab49
 
 is an NYC-based award-winning global specialist consultancy that creates bespoke technology.
 
 
 
 Lab49
 
 is hiring a Lead AI Engineer for an exciting opportunity in one of the world's most dynamic business hubs. This is a chance to join a pioneering team that is setting new benchmarks in the use of agentic AI, prompt-driven UIs, and LLM-powered services for a high-impact B2C client in Dubai.
 
 
 
 Job Summary
 
 
 
 As a Lead AI Engineer, you will play a pivotal role in the design and implementation of a complex, agentic AI&ndash;based solution for a major B2C company in Dubai, a market leader in its sector.
 
 
 The platform will deliver omni-channel, prompt-driven AI services, leveraging LLMs, agentic orchestration, retrieval-augmented generation (RAG), and tight integration with the client&rsquo;s existing digital and enterprise systems.
 
 
 You will lead architectural decisions, guide development standards, and help shape the next-generation customer experience powered by intelligent, modular agents.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Solution Design:
 </li>
 <li>
 Drive the architecture and solution design for the AI platform, ensuring it meets business, performance, and scalability requirements
 </li>
 <li>
 Design patterns for prompt-driven UI generation, long-term memory usage, and multi-agent collaboration
 </li>
 <li>
 Select appropriate frameworks and orchestrators (e.g., LangChain, LangGraph, CrewAI, Agno) based on project needs
 </li>
 <li>
 Application Development:
 </li>
 <li>
 Build and maintain production-grade agentic AI services in Python
 </li>
 <li>
 Own integration patterns between schema-rendered UI, prompt handling, and inference pipelines
 </li>
 <li>
 Implement APIs and backend components to interface with LLMs, memory stores, external tools, and enterprise systems
 </li>
 <li>
 Develop and integrate RAG pipelines, vector stores, and structured output parsing
 </li>
 <li>
 Contribute to re-usable libraries and accelerators
 </li>
 <li>
 Write clean, testable code and ensure robust CI/CD and deployment pipelines are in place
 </li>
 <li>
 Technical Leadership:
 </li>
 <li>
 Provide technical guidance to junior and mid-level developers
 </li>
 <li>
 Conduct code reviews and maintaining high standards of software quality
 </li>
 <li>
 Collaborate closely with product managers, front-end developers, and Lab49&rsquo;s and Client&rsquo;s architecture and QA teams
 </li>
 <li>
 Stay current with the rapidly evolving LLM landscape and proactively suggest innovations
 
 
 </li>
 </ul>
 
 Experience And Skills
 
 
 
 <ul>
 <li>
 Required experience and skills:
 </li>
 <li>
 Bachelor's degree in Computer Science, Information Technology, or a related field. Master&rsquo;s degree is preferred
 </li>
 <li>
 5 to 10 years of hands-on software engineering experience
 </li>
 <li>
 Strong expertise in Python and modern backend development practices
 </li>
 <li>
 At least 2 years implementing LLM and Agentic AI solutions
 </li>
 <li>
 Proven delivery of production-grade conversational AI platforms or prompt-native experiences (e.g., chatbots, voice assistants, agentic workflows)
 </li>
 <li>
 Solid understanding of cloud-native AI services, preferably on AWS
 </li>
 <li>
 Experience working in an agile, product-oriented delivery environment
 </li>
 <li>
 Desired experience and skills:
 </li>
 <li>
 Experience with RAG architectures, information extraction, and vector databases is desirable
 </li>
 <li>
 Experience with Agno is a strong plus.
 </li>
 <li>
 Details of the hybrid model: the team normally meets for 2 days a week in the office, client work may require more presence on the client premises, especially during the integration, testing and release phases of a project
 </li>
 </ul>
</div>

Lead AI Engineer, UAE

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 Lab49
 
 is an NYC-based award-winning global specialist consultancy that creates bespoke technology.
 
 
 
 Lab49
 
 is hiring a Lead AI Engineer for an exciting opportunity in one of the worlds most dynamic business hubs. This is a chance to join a pioneering team that is setting new benchmarks in the use of agentic AI, prompt-driven UIs, and LLM-powered services for a high-impact B2C client in Dubai.
 
 
 
 Job Summary
 
 
 
 As a Lead AI Engineer, you will play a pivotal role in the design and implementation of a complex, agentic AI&ndash;based solution for a major B2C company in Dubai, a market leader in its sector.
 
 
 The platform will deliver omni-channel, prompt-driven AI services, leveraging LLMs, agentic orchestration, retrieval-augmented generation (RAG), and tight integration with the client&rsquo;s existing digital and enterprise systems.
 
 
 You will lead architectural decisions, guide development standards, and help shape the next-generation customer experience powered by intelligent, modular agents.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Solution Design:
 </li>
 <li>
 Drive the architecture and solution design for the AI platform, ensuring it meets business, performance, and scalability requirements
 </li>
 <li>
 Design patterns for prompt-driven UI generation, long-term memory usage, and multi-agent collaboration
 </li>
 <li>
 Select appropriate frameworks and orchestrators (e.g., LangChain, LangGraph, CrewAI, Agno) based on project needs
 </li>
 <li>
 Application Development:
 </li>
 <li>
 Build and maintain production-grade agentic AI services in Python
 </li>
 <li>
 Own integration patterns between schema-rendered UI, prompt handling, and inference pipelines
 </li>
 <li>
 Implement APIs and backend components to interface with LLMs, memory stores, external tools, and enterprise systems
 </li>
 <li>
 Develop and integrate RAG pipelines, vector stores, and structured output parsing
 </li>
 <li>
 Contribute to re-usable libraries and accelerators
 </li>
 <li>
 Write clean, testable code and ensure robust CI/CD and deployment pipelines are in place
 </li>
 <li>
 Technical Leadership:
 </li>
 <li>
 Provide technical guidance to junior and mid-level developers
 </li>
 <li>
 Conduct code reviews and maintaining high standards of software quality
 </li>
 <li>
 Collaborate closely with product managers, front-end developers, and Lab49&rsquo;s and Client&rsquo;s architecture and QA teams
 </li>
 <li>
 Stay current with the rapidly evolving LLM landscape and proactively suggest innovations
 
 
 </li>
 </ul>
 
 Experience And Skills
 
 
 
 <ul>
 <li>
 Required experience and skills:
 </li>
 <li>
 Bachelors degree in Computer Science, Information Technology, or a related field. Master&rsquo;s degree is preferred
 </li>
 <li>
 5 to 10 years of hands-on software engineering experience
 </li>
 <li>
 Strong expertise in Python and modern backend development practices
 </li>
 <li>
 At least 2 years implementing LLM and Agentic AI solutions
 </li>
 <li>
 Proven delivery of production-grade conversational AI platforms or prompt-native experiences (e.g., chatbots, voice assistants, agentic workflows)
 </li>
 <li>
 Solid understanding of cloud-native AI services, preferably on AWS
 </li>
 <li>
 Experience working in an agile, product-oriented delivery environment
 </li>
 <li>
 Desired experience and skills:
 </li>
 <li>
 Experience with RAG architectures, information extraction, and vector databases is desirable
 </li>
 <li>
 Experience with Agno is a strong plus.
 </li>
 <li>
 Details of the hybrid model: the team normally meets for 2 days a week in the office, client work may require more presence on the client premises, especially during the integration, testing and release phases of a project
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Mid-Level Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://on.iongroup.com/3QN0vLD Job Function: Information Technology (IT) Company Industry/
 
 
 Sector: Software Development
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
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</div>

Lead AI Engineer UAE

Entrepreneurs Business Services

Experience : 1 or 2 years UAETasksDeveloping AI models from initial conception to implementation.<ul><li>Understanding business problems and translating them into AI solutions.</li></ul><ul><li>Creating and maintaining AI algorithms and applications.</li></ul><ul><li>Collaborating with the data science team to build optimal data systems.</li></ul><ul><li>Integrating AI applications into company platforms.</li></ul><ul><li>Validating and deploying AI models.</li></ul><ul><li>Keeping up-to-date with the latest AI trends and technologies.</li></ul><ul><li>Presenting technical findings to non-technical stakeholders.</li></ul><ul><li>Ensuring AI applications follow regulatory and ethical standards.</li></ul>&bull; Providing technical support for AI products.Qualification<ul><li>Proven experience as an AI Developer or similar role.</li></ul><ul><li>Experience in developing AI applications and AI-focused programming languages, such as: Phyton (Key libraries): &#10146; TensorFlow &#10146; Scikit-learn &#10146; NumPy &#10146; Keras &#10146; Pandas &#10146; PyTorch</li></ul>Application Process:Please send your resume to reception@ebsuae.comJob Type: Full-time

AI ENGINEER

Explore 1973+ Ai engineer in United Arab Emirates this September. Find roles across top companies and apply now to boost your career.