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intelligence engineer

Revlab Intelligence

Role &amp; responsibilities As an Artificial Intelligence Engineer at REVLAB INTELLIGENCE, you will play a key role in designing, developing, and deploying AI-driven solutions that elevate businesses and streamline operations through automation and intelligent systems. Youll work closely with creative and business teams to transform innovative ideas into practical, scalable AI systems that power the next generation of digital enterprises. <ul> <li>Develop, train, and deploy machine learning and AI models for automation, chatbots, voice agents, and analytics tools.</li> <li>Build and integrate AI solutions into client workflows, CRMs, and web systems.</li> <li>Design intelligent process automation frameworks that optimize business performance.</li> <li>Collaborate with developers, content teams, and strategists to build AI-enhanced systems and tools.</li> <li>Work with different APIs and integrate AI services into digital platforms.</li> <li>Develop backend systems using Python, Voiceflow, MAKE etc for AI model deployment.</li> <li>Conduct research and experimentation with LLMs, NLP, computer vision, and reinforcement learning models.</li> <li>Continuously enhance system accuracy, reliability, and scalability using MLOps best practices.</li> <li>Document, test, and deploy models in production-ready environments (AWS, Azure, or GCP).</li> <li>Stay up to date with the latest advancements in AI and propose innovative applications for clients.</li> </ul>

Artificial Intelligence Engineer

Mogi I/O

Job Title AI Engineer Rust and Repos (3 Months Contract) Remote Job Description AI Engineer Rust and Repos (3 Months Contract) Remote Role Summary We are seeking an experienced AI Engineer specializing in Rust and GitHub repository management for a 3-month remote contract. You will work on building and validating high-quality datasets for training and evaluating Large Language Models (LLMs) using real-world open-source projects. This role combines hands-on coding, environment setup, and AI-driven testing, offering a unique opportunity to work at the intersection of software engineering and artificial intelligence. Job Details Job Location: Remote (Dubai-based operations) Industry: Information Technology and Services Function: Software Engineering / Development Job Type: Contract (3 months, hourly-based, no paid leaves or benefits) Position Overview As an AI Engineer, you will collaborate with researchers to identify suitable GitHub repositories, configure execution environments, validate bug-fix performance, and support AI model testing. Strong expertise in Rust, CI/CD pipelines, and open-source workflows is essential. What You ll Do * Identify and triage trending GitHub issues suitable for AI model evaluation. * Set up and configure development environments using Docker and similar tools. * Evaluate and maintain code quality, functionality, and unit test coverage. * Modify and run repositories to test AI-driven bug fixes and improvements. * Work closely with AI researchers to select repositories for experimental use cases. * (Optional) Guide junior engineers and ensure timely delivery of project tasks. Ideal Profile * 3 4+ years of professional Rust development experience. * Strong understanding of Git, GitHub workflows, Docker, and CI/CD pipelines. * Hands-on experience debugging and running complex, real-world codebases locally. * Exposure to AI/ML workflows and interest in LLM applications is a plus. * Excellent problem-solving and communication skills, capable of working independently.

AI Engineer

Selfdrive

Job Role: AI Engineer- UAE BasedJob Summary:We are seeking a versatile AI Engineer to design, develop, and deploy AI-powered solutionsacross various business domains. This role requires a broad understanding of AI/MLtechnologies and the ability to translate business requirements into practical AI applications.Key ResponsibilitiesAI Solution Development<ul><li>Design and implement end-to-end AI applications from concept to production</li><li>Integrate Large Language Models (LLMs) and foundation models into business applications</li><li>Build RAG (Retrieval-Augmented Generation) systems and conversational AI interfaces</li><li>Develop autonomous AI agents and multi-agent systems for complex task automation</li><li>Implement MCP-compliant tool integrations for enhanced agent capabilities</li><li>Design agent-to-agent communication systems for collaborative problem solving</li><li>Create distributed agent networks with proper message passing and state synchronization</li><li>Design and implement AI workflows and orchestration pipelines for business processes</li><li>Create agentic systems with tool-calling, reasoning, and decision-making capabilities</li><li>Create proof-of-concepts and MVPs for AI-driven features</li><li>Develop computer vision, NLP, and predictive analytics solutions based on requirements</li></ul>Technical Implementation<ul><li>Write production-quality code in Python and relevant frameworks</li><li>Implement APIs and microservices for AI model serving</li><li>Build robust AI agents with error handling, retry logic, and fallback mechanisms</li><li>Design stateful workflows and agent coordination systems</li><li>Implement MCP (Model Context Protocol) for standardized tool integration</li><li>Build agent-to-agent communication systems for collaborative AI workflows</li><li>Develop protocol adapters for cross-platform agent interoperability</li><li>Implement tool integrations for agents (APIs, databases, external services)</li><li>Optimize model inference for latency and throughput requirements</li><li>Build data pipelines for model training and inference</li><li>Ensure scalability, reliability, and maintainability of AI systems</li></ul>Model Management<ul><li>Fine-tune and adapt pre-trained models for specific use cases</li><li>Implement prompt engineering strategies for LLM applications</li><li>Deploy models using cloud services (AWS, GCP, Azure) and edge devices</li><li>Monitor model performance and implement retraining pipelines</li><li>Manage model versioning and A/B testing frameworks</li></ul>Cross-functional Collaboration<ul><li>Work with product teams to identify AI opportunities and requirements</li><li>Collaborate with data engineers on data infrastructure needs</li><li>Partner with DevOps for CI/CD pipeline implementation</li><li>Communicate technical concepts to non-technical stakeholders</li><li>Document AI solutions and create technical specifications</li></ul>Required QualificationsEducation &amp; Experience<ul><li>Bachelor's degree in Computer Science, Engineering, Mathematics, or related field</li><li>3-5 years of experience in AI/ML engineering or related roles</li><li>Proven track record of deploying AI solutions in production environments</li></ul>Technical SkillsCore Programming &amp; Frameworks<ul><li>Strong proficiency in Python and its AI/ML ecosystem (NumPy, Pandas, Scikit-learn)</li><li>Experience with deep learning frameworks (PyTorch, TensorFlow, or JAX)</li><li>Familiarity with LLM frameworks (LangChain, LlamaIndex, Semantic Kernel)</li><li>Experience with AI agent frameworks (Langraph, AgentOps, Temporal)</li><li>Knowledge of MCP (Model Context Protocol) for tool and context management</li><li>Understanding of agent-to-agent communication standards and protocols</li><li>Experience with protocol bridges and agent interoperability solutions</li><li>Knowledge of workflow orchestration tools (Prefect, Dagster, Apache Airflow for AI</li><li>pipelines)</li><li>Understanding of function calling, tool use, and agent-environment interactions</li><li>Knowledge of web frameworks (FastAPI, Flask, or Django)</li></ul>AI/ML Expertise<ul><li>Understanding of machine learning algorithms and their applications</li><li>Experience with transformer models and attention mechanisms</li><li>Knowledge of AI agent architectures (ReAct, Chain-of-Thought, Tree-of-Thoughts)</li><li>Experience building autonomous agents and multi-agent orchestration systems</li><li>Familiarity with workflow automation tools and agentic frameworks (AutoGPT, CrewAI,</li><li>AutoGen)</li><li>Understanding of agent communication protocols (MCP - Model Context Protocol,</li><li>Agent-to-Agent protocols)</li><li>Experience implementing inter-agent communication and coordination mechanisms</li><li>Understanding of task planning, decomposition, and agent memory systems</li><li>Knowledge of computer vision techniques and frameworks (OpenCV, YOLO)</li><li>Familiarity with NLP techniques and libraries (spaCy, NLTK, Hugging Face)</li><li>Understanding of vector databases and embedding techniques</li></ul>Infrastructure &amp; Deployment<ul><li>Experience with containerization (Docker) and orchestration (Kubernetes)</li><li>Knowledge of ML deployment platforms (MLflow, Kubeflow, or SageMaker)</li><li>Familiarity with cloud AI services (OpenAI API, AWS Bedrock, Google Vertex AI)</li><li>Understanding of API design and RESTful services</li><li>Experience with version control (Git) and CI/CD pipelines</li></ul>Data &amp; Databases<ul><li>SQL proficiency and experience with relational databases</li><li>Knowledge of NoSQL databases (MongoDB, Redis)</li><li>Experience with vector databases (Pinecone, Weaviate, or Chroma)</li><li>Understanding of data processing and ETL pipelines</li></ul>Preferred QualificationsAdvanced Skills<ul><li>Master's degree in relevant field</li><li>Experience with MLOps practices and tools</li><li>Deep expertise in building production-grade AI agent systems</li><li>Hands-on experience with MCP implementation and custom MCP server development</li><li>Knowledge of agent-to-agent protocol design and implementation</li><li>Experience building federated agent networks and swarm intelligence systems</li><li>Expertise in cross-platform agent communication and handoff mechanisms</li><li>Experience with agent evaluation and testing frameworks</li><li>Knowledge of agent safety, alignment, and guardrails implementation</li><li>Experience with complex workflow orchestration and state management</li><li>Knowledge of distributed computing (Spark, Ray)</li><li>Familiarity with edge AI deployment</li><li>Experience with multimodal AI systems</li><li>Understanding of AI safety and responsible AI practices</li></ul>Domain Experience<ul><li>Experience in specific verticals (healthcare, finance, e-commerce, etc.)</li><li>Knowledge of regulatory requirements for AI systems</li><li>Experience with real-time AI applications</li><li>Background in data privacy and security</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical thinking abilities</li><li>Excellent communication skills for technical and non-technical audiences</li><li>Self-motivated with ability to work independently</li><li>Curiosity and passion for staying current with AI advancements</li><li>Experience mentoring junior team members</li></ul>Why Join Us:<ul><li>Cutting-Edge Work: Be part of a company that is redefining mobility tech through innovative solutions.</li><li>Collaborative Culture: Work alongside passionate engineers, product thinkers, and designers in a fast-paced environment.</li><li>Growth Opportunities: Get exposed to global projects, leadership responsibilities, and upskilling platforms.</li><li>Impact at Scale: Build technology that reaches thousands of users across the MENA region and beyond.</li><li>Employee-Centric Benefits: Competitive salary, visa support, and the opportunity to grow your career in a thriving tech ecosystem.</li></ul>If you're driven to create impactful mobile experiences and thrive in a fast-evolving tech environment, apply now and drive the future of mobility with us, - we want to hear from you!Apply Now &ndash; Send your CV to talent@self-drive.aeWorkplace Type: OnsiteApplication Open:Apply only if you can join us immediately or serving notice period.Location: B3, Office number 406, Dubai Commercity, Umm ramool, Al Rashidiya, Dubai, UAE.Job Types: Full-time, PermanentPay: Up to AED10,000.00 per month

BlackStone eIT

Responsibilities <ul> <li>Conduct user research to understand the needs, motivations, and behaviors of users in the context of decision intelligence applications.</li> <li>Develop wireframes, prototypes, and high-fidelity designs that effectively communicate design ideas and user flows.</li> <li>Collaborate with product managers and technical teams to define product requirements and design specifications.</li> <li>Create and maintain design guidelines, style guides, and best practices for decision intelligence products.</li> <li>Iterate on designs based on user feedback and usability testing to ensure optimal user experience.</li> <li>Stay updated with industry trends and emerging technologies in decision intelligence and design.</li> <li>Present design concepts and rationale to stakeholders and advocate for user-centered design principles.</li> </ul>

Decision Intelligence Product Designer

Client of S&K HR Consulting

Our client is a leading software solutions organisation, who specialise in empowering businesses with innovative technology solutions by providing SaaS solutions tailored to business needs. 
They are currently hiring for an AI Engineer to own the end-to-end lifecycle of AI features, from data ingestion and RAG setup to fine-tuning, evaluation, deployment, and continuous improvement, so they can ship reliable, cost-effective AI products.
 
 Location: On-site (Dubai, UAE) 
 Type: Full-time 
 
 What You'll Do <ul> <li> Design and implement RAG pipelines (chunking, embeddings, vector stores, retrieval strategies) using tools like Ollama, LangChain, LlamaIndex, or equivalent. </li> <li> Stand up local and cloud LLM orchestration (prompt routing, tool use, function calling, guards) with strong observability. </li> <li> Run fine-tuning / LoRA / adapters; build data re-entry loops to capture outputs and feedback for secondary retraining. </li> <li> Create robust prompt engineering patterns (templates, guards, evals, versioning) and latency/cost controls. </li> <li> Build evaluation suites (RAGAS, custom golden sets, offline + online A/B tests) and quality dashboards. </li> <li> Productionize models with MLOps best practices (CI/CD, model registries, feature stores, experiment tracking). </li> <li> Ensure privacy, safety, and compliance (PII handling, red-teaming, prompt injection defenses, content filters). </li> <li> Collaborate with PM/Design/Eng to scope features and deliver increments quickly. </li> </ul>
 
 Must-Have Qualifications <ul> <li>3+ years shipping ML/AI systems, including at least one production RAG deployment. </li> <li> Hands-on with LangChain/Ollama (or similar), vector DBs (Pinecone, Weaviate, Milvus, pgvector), and embedding models. </li> <li> Experience with fine-tuning (HF Transformers, PEFT/LoRA) and dataset curation/cleaning. </li> <li> Strong Python skills; solid grasp of APIs, microservices, and async patterns. </li> <li> Familiar with LLM evals, metrics (precision@k, faithfulness, groundedness), and cost/perf tuning. </li> <li> Cloud/containerization: Docker, any of AWS/GCP/Azure, basic GPU/accelerator know-how. </li> </ul>
 
 Nice to Have <ul> <li> Llama 3/4, Mistral, OpenAI/Anthropic APIs; Guardrails/Gandalf; Weights &amp; Biases or MLflow. </li> <li> Feature stores, Kafka, Airflow; security hardening and secret management. </li> <li> Basic front-end to prototype admin/eval tools (React/Next.js). </li> </ul>
 
 Success Metrics <ul> <li> RAG answer quality (e.g., &gt;85% groundedness on eval set) and unit cost over time. </li> <li> P50 latency within target; model incidence rate (hallucinations, jailbreaks) MoM. </li> <li> Time-to-ship for new datasets/features.</li> </ul>

Fractional AI

<div><h1 class="jobSectionHeader">About Fractional AI</h1>
Fractional AI builds bespoke gen AI software to transform businesses.
Every C-suite in the country is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more).
By joining Fractional AI, you&rsquo;re stepping onto a San Francisco, NYC, and Dubai-based team working on gen AI projects for top companies from the comfort of an engineering-first startup.<h1 class="jobSectionHeader">
About the Role</h1>
Joining Fractional AI as an AI Engineer, you&rsquo;ll play a leading role in building and shipping AI applications for our customers - from understanding customer needs to deploying solutions in their environments - all while shaping our engineering and broader Fractional culture for the next 100+ engineers.
By the time you&rsquo;ve completed your second project, you&rsquo;ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.<h1 class="jobSectionHeader">
What you bring to the table:</h1><ul><li>
You write exceptional code + deeply care about the craft of coding (4+ years of experience): you build elegant, production-ready code; you have strong proficiency across multiple programming languages</li><li>
You have a track record building with Large Language Models: you have experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, etc.</li><li>
You love solving hard, new problems: you are comfortable self-teaching, asking &ldquo;why?,&rdquo; and experimenting to solve problems you haven&rsquo;t seen before</li><li>
You are &lsquo;start-up ready&rsquo;: you jump in without instruction, embrace a &lsquo;no job too big, no job too small&rsquo; mindset, and want to shape strategy and culture</li><li>
You are comfortable talking with customers: you deeply care about the customer and skillfully navigate customer conversations to ensure what we&rsquo;re building meets their needs</li><li>
You are a great teammate: you are comfortable helping others (and asking for help), you champion integrity in everything, and want to build a one-in-a-career culture of personal growth</li></ul><h1 class="jobSectionHeader">
What you'll do:</h1><ul><li>
Design and develop custom AI solutions tailored to the unique needs of our customers, ensuring seamless integration and scalability</li><li>
Partner with a high-caliber team across the full project lifestyle, from requirements gathering, to prototyping, system design, coding, testing, deployment, and support</li><li>
Actively shape our engineering and broader company culture - from how we learn, to how we hire, to how we celebrate - you&rsquo;ll shape how we make Fractional a place we all love working</li></ul><h1 class="jobSectionHeader">
Our tech stack:</h1><ul><li>
We&rsquo;re generally tech stack agnostic - we work in our customers&rsquo; environments and code bases. A lot, but definitely not all, of our work is in python.</li><li>
After working at Fractional AI for a few years, you&rsquo;ll be an expert at using the various foundational models, building with tools like Langchain/Langsmith, and various other tools and frameworks (e.g., OpenPipe, Pinecone, ChromaDB).</li></ul><h1 class="jobSectionHeader">
A day in the life:</h1><ul><li>
You&rsquo;re the tech lead for one of our customer projects - it may be automating a call center with AI phone agents or building an AI content moderation system &ndash; each project is different.</li><li>
You&rsquo;ll join the team in our SF office between 8am-10am pacific time.</li><li>
You&rsquo;ll dive into one of the higher priority items for the morning (say building out an evals suite) - testing different permutations.</li><li>
You have a weekly standup with the customer (the CTO at the client) to chat through tradeoffs, progress, and timeline.</li><li>
You join team lunch (which doubles as the Fractional AI cross-project standup) to hear about different projects we&rsquo;re working on &hellip; the lunch will turn into a lively debate about Weights and Biases v. Braintrust capabilities.</li><li>
You&rsquo;ll have some solo heads down time to continuing jamming on the high priority pieces for that 2-week sprint.</li><li>
Maybe you join a prospective customer call to share your perspective on what&rsquo;s technically feasible on that potential project.</li></ul><h1 class="jobSectionHeader">
Who you'll work with:</h1><ul><li>
This role will collaborate closely with Eddie, our Co-Founder and CTO.</li><li>
You&rsquo;ll work very closely with other engineers on the team - the vast majority of our projects have multiple Fractional AI engineers working on them at once.</li><li>
You&rsquo;ll also spend a lot of time partnering with our CEO, Chris, and Chairman, Travis.</li></ul><h1 class="jobSectionHeader">
Why you should (and shouldn&rsquo;t) join us</h1>
We&rsquo;re big believers in transparency and know joining a company is a big decision. We&rsquo;re not the best fit for everyone and try to be clear on what we are and what we&rsquo;re not so you make the choice that&rsquo;s right for you.<h2 class="jobSectionHeader">
Why join Fractional?</h2><ul><li>
Build on the forefront of applied AI: You&rsquo;ll have a front row seat to how the world&rsquo;s leading companies are actually deploying AI solutions. By the time you&rsquo;ve completed your second project, you&rsquo;ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.</li><li>
Solve big, real problems: Companies come to us when they can&rsquo;t solve some of their biggest problems themselves. For you, that means learning everyday, never getting bored, and working across a range of industries, customers, and products.</li><li>
Learn with and from the best in person: We're a team of senior engineers (some former founders, some former engineering leaders) who only want to work on high-impact projects. Working elbow to elbow in our San Francisco, NYC, or Dubai offices means things like team lunches, quick brainstorming, and the right amount of banter.</li></ul><h2 class="jobSectionHeader">
Why shouldn't you join Fractional?</h2><ul><li>
Preference for just speed or quality: We love hacking things together for a proof of concept but ultimately our code will be put into production in our customers&rsquo; environments - you need to enjoy balancing elegance and expediency.</li><li>
Predictability is important to you: You&rsquo;ll be working across customers, programming languages, industries and projects, which means you won&rsquo;t be becoming an expert in the same product suite or serving the same user day after day.</li><li>
Customers aren&rsquo;t your thing: You&rsquo;ll spend most of your time coding but will be closer to the customer than in most engineering roles. You&rsquo;ll frequently interact with engineers from the customer&rsquo;s team to ask questions and problem solve. A deep understanding and appreciation of the customer is crucial.</li></ul><h1 class="jobSectionHeader">
Our Values</h1>
Overdeliver.
Overuse AI.
Over &quot;engineer&quot; the culture.<h1 class="jobSectionHeader">
Location</h1>
San Francisco, CA (4 days in-person, Fridays remote)
New York, NY (4 days in-person, Fridays remote)
Dubai, UAE (4 days in-person, Fridays remote)<h1 class="jobSectionHeader">
Benefits</h1><ul><li>
 Competitive Compensation Package: Attractive salary aligned with your experience and skills.</li><li>
 401k with Matching: Invest in your future with our company-matched retirement plan.</li><li>
 Unlimited PTO: Take the time you need to relax and rejuvenate.</li><li>
 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.</li><li>
 Health FSA: Manage out-of-pocket health expenses effectively.</li><li>
 Commuter Benefits: Make your travel to work easier and more affordable.</li><li>
 Life Insurance: Providing peace of mind for you and your loved ones.</li><li>
 Team Events and Activities: Regular events to build camaraderie and a strong team spirit.</li></ul><h1 class="jobSectionHeader">
Ready to join us?</h1></div>

KILONEWTONS

Job Overview
We are seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI models and algorithms. You ll work on cutting-edge projects, collaborate with top talent, and contribute to groundbreaking AI solutions.
 Key Responsibilities
<ul>
<li>Design and implement machine learning models and AI algorithms.</li>
<li>Develop scalable AI solutions for real-world applications.</li>
<li>Optimize and fine-tune models for performance and accuracy.</li>
<li>Collaborate with cross-functional teams (data scientists, engineers, product managers).</li>
<li>Stay updated with the latest advancements in AI, NLP, computer vision, and deep learning.</li>
<li>Deploy AI models in production environments (cloud/on-premise).</li>
</ul>
 Requirements
<ul>
<li> Bachelor s/Master s in Computer Science, AI, or related field. </li>
<li> 3+ years of experience in AI/ML model development.</li>
<li>Strong expertise in Python, TensorFlow, PyTorch, or Keras.</li>
<li>Experience with NLP, LLMs (GPT, BERT), or computer vision.</li>
<li>Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps.</li>
<li>Strong problem-solving and analytical skills.</li>
</ul>

AI ENGINEER

Explore 1742+ Intelligence engineer in Dubai United Arab Emirates this November. Find roles across top companies and apply now to boost your career.

1742 intelligence engineer jobs IN Dubai United Arab Emirates

Artificial Intelligence Engineer

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AI Engineer

Decision Intelligence Product Designer

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AI ENGINEER