project engineer

civil engineer

electrical engineer

planning engineer

electrician

ai engineer

BAO Packaging

Job Summary: We are seeking a talented and motivated AI Engineer to join our 3DX team. The ideal candidate will be responsible for developing AI-driven solutions to support 3D design, digital transformation, engineering workflows, automation, and smart manufacturing processes.Key Responsibilities:<ul><li>Develop and implement AI and machine learning solutions for 3DX applications and engineering systems.</li><li>Integrate AI technologies with 3D modeling, CAD, PLM, and digital manufacturing platforms.</li><li>Analyze engineering and operational data to improve productivity and automation.</li><li>Collaborate with design, engineering, and IT teams to optimize digital workflows.</li><li>Develop predictive models, automation tools, and intelligent reporting systems.</li><li>Support AI integration within smart factory and Industry 4.0 environments.</li><li>Stay updated with emerging AI technologies and industry trends.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.</li><li>Minimum 2&ndash;5 years of experience in AI/ML development.</li><li>Strong knowledge of Python, Machine Learning, Deep Learning, and AI frameworks such as TensorFlow or PyTorch.</li><li>Experience working with engineering, manufacturing, or 3D software environments is an advantage.</li><li>Familiarity with CAD, PLM, or 3DEXPERIENCE platform is preferred.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul>Preferred Skills:<ul><li>Knowledge of Generative AI, NLP, or Computer Vision.</li><li>Experience with automation and smart manufacturing solutions.</li><li>Understanding of cloud platforms and data analytics tools.</li><li>Experience in digital transformation projects.</li></ul>Pay: AED5,000.00 - AED7,000.00 per monthWork Location: In person

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 $170M 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>
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 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>
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 Competitive salary and an equity sign-on bonus
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 Biannual bonus scheme
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 Fully expensed tech to match your needs
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 Paid annual leave
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 <li>
 Breakfast and dinner allowance for office based employees
 </li>
 </ul>
</div>

Applied AI Engineer

Almaimana Accounting and Bookkeeping

Location: Remote / Dubai, UAE (Project-Based) Employment Type: Freelance / Contract Department: Technology &amp; Digital InnovationJob SummaryWe are seeking a talented and experienced Freelance AI Engineer to design, develop, and implement Artificial Intelligence (AI) solutions on a project basis. The ideal candidate will have hands-on experience in Machine Learning, Generative AI, Natural Language Processing (NLP), AI automation, and Large Language Models (LLMs). The role requires the ability to work independently, manage project timelines, and deliver scalable AI solutions aligned with business objectives.Key Responsibilities<ul><li>Develop and deploy AI-powered applications, chatbots, virtual assistants, and automation solutions.</li><li>Build and fine-tune Machine Learning and Deep Learning models.</li><li>Design and implement Generative AI solutions using Large Language Models (LLMs).</li><li>Integrate AI solutions with websites, mobile applications, ERP systems, and business platforms.</li><li>Develop Retrieval-Augmented Generation (RAG) systems and AI agents.</li><li>Analyze business requirements and recommend suitable AI technologies.</li><li>Prepare technical documentation and deployment guides.</li><li>Conduct testing, troubleshooting, and optimization of AI applications.</li><li>Ensure data security, privacy, and compliance with industry best practices.</li><li>Provide post-deployment support and maintenance when required.</li></ul>Required Qualifications<ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field (preferred).</li><li>Proven experience in AI/ML development and deployment.</li><li>Strong proficiency in Python and AI development frameworks.</li><li>Experience with Generative AI platforms and APIs.</li><li>Knowledge of NLP, Machine Learning, and Deep Learning techniques.</li><li>Experience integrating AI solutions through APIs and cloud services.</li><li>Strong problem-solving and communication skills.</li><li>Ability to work independently and meet project deadlines.</li></ul>Technical Skills<ul><li>Python</li><li>TensorFlow, PyTorch, Scikit-learn</li><li>OpenAI, Gemini, Claude, or similar AI platforms</li><li>LangChain, LlamaIndex</li><li>RAG Architecture and AI Agents</li><li>SQL and NoSQL Databases</li><li>Vector Databases (Pinecone, ChromaDB, Weaviate)</li><li>REST APIs</li><li>Docker and Cloud Platforms (AWS, Azure, GCP)</li><li>Git Version Control</li></ul>Preferred Experience<ul><li>AI Chatbot Development</li><li>Intelligent Document Processing (IDP)</li><li>OCR and Computer Vision Applications</li><li>Business Process Automation</li><li>Predictive Analytics and Data Science Projects</li><li>MLOps and Model Deployment</li></ul>DeliverablesThe selected freelancer may be required to:<ul><li>Develop custom AI applications.</li><li>Create AI-powered customer support solutions.</li><li>Automate business processes using AI.</li><li>Build intelligent document management systems.</li><li>Integrate AI models with existing software platforms.</li><li>Provide training and knowledge transfer to internal teams.</li></ul>Contract Terms<ul><li>Project-based or hourly engagement.</li><li>Flexible working hours.</li><li>Remote work arrangement.</li><li>Payment based on agreed milestones and deliverables.</li><li>Opportunity for long-term collaboration on future AI projects.</li></ul>How to ApplyInterested candidates should submit:<ul><li>Updated CV/Resume</li><li>Portfolio of AI projects</li><li>GitHub or relevant technical profiles</li></ul>Only candidates with demonstrated experience in AI development and successful project delivery will be considered.Application Question(s):<ul><li>What is your expected Salary?</li><li>Can you join immediately after selection?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Work Location: In person

Freelance AI Engineer

DICETEK LLC

<div>We are looking for a skilled and motivated AI Engineer to join our team, with a strong focus on developing applications using Large Language Models (LLMs) and related technologies. The ideal candidate will have experience working with modern LLM frameworks, prompt engineering, vector databases, and structured data integration. You will play a key role in designing, building, and deploying intelligent solutions that interact with unstructured and structured data for advanced query and visualization use cases.<h3 class="jobSectionHeader"> 
Key Responsibilities:</h3><ul><li>
Design and develop AI-driven applications leveraging LLMs (OpenAI, Hugging Face models, or local LLMs)</li><li>
Build and optimize workflows using frameworks like LangChain, LlamaIndex, or Haystack</li><li>
Engineer effective prompts for various use cases, ensuring accuracy and consistency</li><li>
Integrate text-to-SQL models to convert natural language queries into database operations</li><li>
Work with vector databases (FAISS, Chroma, Pinecone) for semantic search and retrieval tasks</li><li>
Implement document processing pipelines including PDF ingestion, text chunking, and embedding generation</li><li>
Generate interactive data visualizations using Plotly, Vega-lite, or JSON-based charting tools</li><li>
Collaborate with data engineers, analysts, and product teams to deliver robust AI solutions</li><li>
Maintain clean, modular, and scalable Python code</li></ul><h3 class="jobSectionHeader">
Required Skills:</h3><ul><li>
Strong experience with LLM frameworks (e.g., LangChain, LlamaIndex, Haystack)</li><li>
Familiarity with LLM APIs such as OpenAI, Cohere, or local models via Hugging Face</li><li>
Hands-on experience with prompt engineering and model fine-tuning (preferred)</li><li>
Proficiency in vector databases: FAISS, Pinecone, or Chroma</li><li>
Solid understanding of document processing: text chunking, embedding strategies, and retrieval pipelines</li><li>
Knowledge of text-to-SQL model integration and query optimization</li><li>
Experience with data visualization tools: Plotly, Vega-lite, or equivalent</li><li>
Strong command of SQL and Python</li><li>
Excellent problem-solving skills and ability to work in a fast-paced environment</li></ul></div>

AI Engineer (LLM & Data Applications)

Naffco

<div>Job Summary
We are seeking an AI Engineer to lead the introduction and adoption of agentic AI technologies across the group. You will design, develop, and implement enterprise AI solutions that improve productivity, automation, decision-making, and operational efficiency across industrial, manufacturing, corporate, and support functions.
You will have hands-on experience with modern AI ecosystems, including OpenAI platforms, the Anthropic Claude ecosystem, and Microsoft Copilot Studio. You will bring expertise in enterprise architecture, data lakes, AI agents, LLM integration, and business transformation.
Key Responsibilities<ul><li>
Design and implement enterprise agentic AI solutions across key functions, including manufacturing, finance, HR, procurement, supply chain, sales, customer service, and industrial operations.</li><li>
Develop AI assistants, copilots, autonomous agents, and workflow automation using:<ul><li>
Microsoft Copilot Studio</li><li>
Azure OpenAI Service</li><li>
Anthropic Claude ecosystem</li><li>
LLM APIs and orchestration frameworks</li></ul></li><li>
Lead enterprise data lake and AI-ready platform architecture, integrating ERP, CRM, manufacturing, IoT, and operational systems.</li><li>
Partner with stakeholders to identify, evaluate, prioritize, and implement AI use cases with measurable ROI.</li><li>
Build secure AI frameworks aligned with cybersecurity, governance, compliance, and enterprise standards.</li><li>
Develop Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge bases and operational data sources.</li><li>
Design AI agents for autonomous decision support, workflow execution, predictive analysis, and recommendations.</li><li>
Establish AI governance standards, responsible AI practices, model monitoring, and prompt engineering standards.</li><li>
Collaborate with infrastructure, cloud, cybersecurity, and application teams to deploy scalable AI environments.</li><li>
Run AI innovation workshops, enable users, and build internal AI capabilities.</li><li>
Support executive leadership in defining enterprise AI strategy and the product roadmap.</li></ul>
Technical Skills &amp; Requirements<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field.</li><li>
3+ years of experience in AI/ML engineering, enterprise automation, or digital transformation.</li><li>
Strong hands-on experience with:<ul><li>
Microsoft Copilot Studio</li><li>
Azure OpenAI Service</li><li>
Anthropic Claude ecosystem</li><li>
LLM integration and prompt engineering</li><li>
AI orchestration and autonomous agents</li></ul></li><li>
Experience with Python, REST APIs, LangChain, Semantic Kernel, vector databases, embeddings, and AI workflow automation.</li><li>
Understanding of data lake architecture, ETL pipelines, structured/unstructured processing, and enterprise integrations.</li><li>
Experience integrating AI solutions with ERP systems such as Oracle ERP, HRMS, manufacturing, CRM, and industrial systems.</li><li>
Familiarity with Microsoft Azure, AWS, or Google Cloud.</li><li>
Knowledge of industrial/manufacturing environments, IoT data, predictive maintenance, and operational analytics is highly preferred.</li><li>
Experience with AI governance, cybersecurity, compliance, and enterprise architecture.</li><li>
Strong communication and stakeholder management skills.</li></ul>
Preferred Skills<ul><li>
Experience in manufacturing or industrial sectors.</li><li>
Experience with AI agents, multi-agent frameworks, and autonomous workflow systems.</li><li>
Knowledge of Power Platform, Power Automate, Fabric, Databricks, and enterprise analytics platforms.</li><li>
AI certifications from Microsoft, OpenAI, or other leading AI platforms are an advantage.</li></ul></div>

AI Engineer – Agentic AI & Enterprise Automation

MultiBank Group

<div>Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Role Overview
We are seeking an AI Engineer to design, build, and deploy intelligent AI agents and automated workflows that address real business problems. This is a hands-on, high-impact role within the Artificial Intelligence and Advanced Analytics team. The successful candidate will own end-to-end delivery of AI agents from scoping and architecture through integration, testing, and production deployment, enabling the organization to automate complex processes and unlock value from generative AI.
Key Responsibilities<ul><li>
Design, build, and deploy AI agents using frontier LLMs including Claude (Anthropic API), OpenAI, Gemini, and other frontier models</li><li>
Architect multi-agent systems and agentic workflows using frameworks including LangChain, LangGraph, CrewAI, AutoGen, and Semantic Kernel</li><li>
Build and manage automated business workflows using n8n, Make (Integromat), Zapier, and custom API integrations</li><li>
Implement RAG pipelines with vector databases including Pinecone, Weaviate, Qdrant, and pgvector to give agents access to organizational knowledge bases</li><li>
Design tool-use and function-calling integrations, connecting agents to internal systems, APIs, databases, and third-party services</li><li>
Fine-tune and prompt-engineer LLMs to optimize agent behavior, reliability, and task accuracy</li><li>
Collaborate with business stakeholders to identify automation opportunities and translate requirements into agent-based solutions</li><li>
Monitor, evaluate, and continuously improve deployed agents across quality, latency, cost, and safety metrics</li><li>
Establish and maintain best practices for agent safety, guardrails, human-in-the-loop controls, and responsible AI deployment</li><li>
Develop MCP (Model Context Protocol) server integrations to extend agent capabilities</li></ul>
Requirements<ul><li>
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field; equivalent practical experience will be considered</li><li>
2 or more years of hands-on experience building production AI systems or intelligent automation solutions</li><li>
Demonstrated experience building agents or workflows with LangChain, LangGraph, CrewAI, n8n, or comparable frameworks</li><li>
Proven ability to integrate LLM APIs including Anthropic Claude and OpenAI into real-world applications</li><li>
Experience with vector databases and semantic search implementations is strongly preferred</li><li>
Portfolio or demonstrable projects showing deployed agents, automation workflows, or RAG-based applications</li><li>
Proficiency in Python as the primary language; JavaScript or TypeScript is beneficial</li><li>
Familiarity with cloud platforms, Docker, FastAPI, and CI/CD practices for AI pipelines</li></ul>
Technical Skills
LLM APIs: Anthropic Claude (claude-opus-4, claude-sonnet-4), OpenAI GPT-4o, Google Gemini, Mistral
Agent Frameworks: LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, Haystack
Workflow Automation: n8n, Make (Integromat), Zapier, Apache Airflow
Vector Databases and RAG: Pinecone, Weaviate, Qdrant, pgvector, Chroma, LlamaIndex
Programming: Python (primary), JavaScript/TypeScript, REST API design
Cloud and MLOps: AWS, Azure, GCP, Docker, FastAPI, CI/CD for AI pipelines
Observability and Evaluation: LangSmith, Helicone, Weights and Biases, custom evaluation harnesses
AI Agent Focus Areas<ul><li>
Autonomous and semi-autonomous agents for customer service, operations, marketing, and data analysis</li><li>
Multi-agent orchestration including planner, executor, critic, and memory agent patterns</li><li>
Knowledge retrieval systems including enterprise RAG, document Q&amp;A, and semantic search</li><li>
Process automation integrating CRM, ERP, and communication tools end-to-end</li><li>
Agent safety, guardrails, and human-in-the-loop oversight mechanisms</li><li>
MCP server development for extending agent capabilities</li></ul>
Soft Skills<ul><li>
Strong problem-solving ability and analytical thinking</li><li>
Ability to translate complex business needs into practical technical solutions</li><li>
Effective collaboration and communication in a team-oriented environment</li><li>
Intellectual curiosity and commitment to staying current with AI research and trends</li></ul>
Why Join Us?<ul><li>
Work with one of the world&rsquo;s leading financial derivatives institutions.</li><li>
Competitive salary plus performance-based incentives.</li><li>
Access to a dynamic, international, and fast-growing environment.</li><li>
Strong opportunities for career progression within a global financial group.</li><li>
Be part of a business committed to innovation, excellence, and long-term growth.</li></ul>
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
MultiBank Group is an equal opportunity employer. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of nationality, gender, age, religion, or disability.</div>

AI Engineer – Generative AI and Automation

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AI Engineer – Agentic AI & Enterprise Automation

AI Engineer – Generative AI and Automation