Your AI career in the UAE starts here

Location: United Arabic EmiratesRole: AI Forward Deployed Engineer Focus: Agentic AI, Autonomous SOC, AI Agents & Customer Deployments About the Role Imperum is building an Autonomous SOC powered by Agentic AI, where AI agents don't just generate recommendations - they investigate alerts, reason across security data, interact with security technologies, execute workflows, and collaborate with human analysts. We are looking for an AI Forward Deployed Engineer (FDE) who can take these capabilities into real customer environments. This is a highly technical, hands-on role at the intersection of AI engineering, software engineering, cybersecurity, and customer deployment. You will work directly with customers, SOC teams, MSSPs, Imperum engineering, and our AI team to design, deploy, integrate, troubleshoot, and improve Agentic AI solutions in production environments. You should be equally comfortable writing Python, building an agent graph, integrating an API, debugging a deployment, and sitting with a SOC team to understand why an AI investigation is not producing the expected result. Think of Imperum as a LEGO Set for Agentic AI Imperum provides the building blocks for the Autonomous SOC: AI agents, integrations, tools, workflows, data, security actions, LLMs, automation, and orchestration. Think of Imperum as a LEGO set for Agentic AI. Your role as a Forward Deployed Engineer is to take those building blocks and build what the customer actually needs. One customer may need an autonomous phishing investigation agent. Another may need AI-driven alert triage across Microsoft and CrowdStrike. An MSSP may need a multi-tenant investigation workflow coordinating multiple specialized agents. Another customer may need an entirely new agentic use case that does not exist yet. Understand the customer's problem and operational environment. Select the right Imperum capabilities, agents, tools, integrations, and data. Design the required agentic workflow. Build missing components in Python when necessary. Connect agents to customer technologies and APIs. Test, deploy, evaluate, and continuously improve the solution. Turn successful customer-specific implementations into reusable building blocks for the Imperum platform. Imperum gives you the Agentic AI building blocks. Your job is to assemble them into solutions that solve real customer problems. This means you are not simply deploying a predefined product. You are combining AI + cybersecurity + software engineering + customer knowledge to build new Autonomous SOC capabilities directly in the field. What You Will Do Build & Deploy Agentic AI Design and implement production-grade AI agents and multi-agent workflows. Build agents using LangChain, LangGraph, and similar agentic frameworks. Implement agent orchestration, routing, planning, reasoning, tool use, memory, state management, and human-in-the-loop workflows. Connect LLMs and AI agents with real cybersecurity tools and customer infrastructure. Build and optimize AI workflows for alert triage, investigation, case prioritization, threat hunting, incident response, detection engineering, forensics, and security automation. Forward Deployment Work directly inside complex enterprise and MSSP environments to turn customer requirements into working AI systems. Use Imperum as a modular Agentic AI building platform: assemble existing capabilities, create what is missing, and deliver the solution the customer needs. Deploy Imperum Autonomous SOC capabilities in customer environments. Configure and customize AI agents for specific customer use cases. Build customer-specific tools, integrations, prompts, workflows, and agent graphs. Troubleshoot production AI behavior and analyze why an agent made a particular decision. Integrate customer security technologies, APIs, data sources, and internal systems. Take customer requirements back to the core engineering team and help turn them into scalable product capabilities. This is not a pure research or prompt-engineering position. You will own the path from idea -> code -> integration -> deployment -> production outcome. Technical Requirements Strong Python Engineering Excellent hands-on knowledge of Python is mandatory. Async Python REST APIs and WebSockets SDK development Data processing and Pydantic FastAPI Testing and debugging Authentication and API integrations Production-quality error handling and observability Agentic AI LangChain and LangGraph Tool/function calling and structured outputs Multi-agent architectures Agent state and memory Agent orchestration, planning, and reasoning workflows Human-in-the-loop architectures Agent evaluation and guardrails Context engineering and prompt engineering Model routing and retry/fallback strategies Experience with LlamaIndex, CrewAI, AutoGen, or similar frameworks is valuable. LLM Engineering OpenAI-compatible APIs and Anthropic/Claude models Open-source LLMs and the Hugging Face ecosystem Local/on-premise LLM deployment Embeddings, RAG, and vector search Context management and token optimization Model selection and routing Structured generation LLM evaluation and benchmarking Model distillation, fine-tuning, SLMs, LoRA/QLoRA, quantization, or ML models such as LightGBM/XGBoost are a strong advantage. AI Agent Infrastructure MCP (Model Context Protocol) Tool calling / function calling REST and GraphQL APIs, Webhooks, OpenAPI / Swagger OAuth2, API keys, and service accounts Event-driven architectures, queues, and asynchronous processing Agent permissions and access control You should understand that production agents need more than intelligence - they need identity, permissions, observability, auditability, deterministic controls, and safe execution boundaries. Data & Infrastructure Docker and Kubernetes Linux and Git CI/CD OpenSearch / Elasticsearch Vector databases Kafka / Redpanda Redis and SQL Azure, AWS, or GCP GPU and CPU inference On-premise and air-gapped deployments Cybersecurity Knowledge You don't need to have spent your entire career in a SOC, but you must understand - or be able to rapidly learn - how modern security operations work. SOC operations SIEM EDR / XDR SOAR / Hyperautomation Detection engineering Incident response Threat hunting DFIR MITRE ATT&CK Sigma Security alerts and telemetry False-positive reduction Case management Previous experience integrating platforms such as Microsoft Sentinel/Defender, CrowdStrike, Splunk, Palo Alto, Fortinet, Elastic, OpenSearch, or similar technologies is a strong advantage. Production AI Mindset We are particularly interested in engineers who understand that a successful AI system is not simply: Prompt -> LLM -> Answer Production Agentic AI requires: Data -> Context -> Model -> Reasoning -> Tools -> Actions -> Validation -> Human Feedback -> Learning Why an agent reached a decision and whether that decision can be trusted. How actions are authorized and agent behavior is evaluated. How hallucinations and incorrect actions are contained. How agent execution is logged and audited. How systems recover when models or tools fail. How latency and token consumption are controlled. How AI performance improves from real-world feedback. What Makes a Great Candidate Excellent Python engineer. Has built real LLM or Agentic AI applications. Hands-on experience with LangGraph and/or LangChain. Understands APIs, integrations, and distributed systems. Enjoys solving difficult problems directly with customers. Can independently debug unfamiliar environments. Can rapidly prototype while writing production-quality code. Understands that AI agents must interact safely with real systems. Communicates clearly with both engineers and security teams. Prefers building and shipping over producing endless architecture diagrams. Nice to Have Autonomous or multi-agent systems Cybersecurity products SOC/SIEM/SOAR platforms MCP servers Local and air-gapped LLMs RAG architectures LLM observability and evaluation Model distillation Detection-as-Code Machine learning for security telemetry Enterprise SaaS MSSP / multi-tenant environments Customer-facing engineering Integrations against undocumented or difficult APIs Why This Role Is Different At Imperum, AI agents are being applied to real security operations, not isolated chatbot use cases. Observe -> Investigate -> Reason -> Decide -> Collaborate -> Act -> Learn You will help deploy AI into environments containing thousands of endpoints, millions of security events, multiple security technologies, SOC analysts, and complex enterprise processes. Your work will directly influence how the Imperum Autonomous SOC investigates threats, reduces analyst workload, automates security operations, and evolves toward increasingly autonomous cyber defense. What we offer  Compensation package combining competitive base salary and RSUs (Restricted Stock Units).Top-tier hardware and a generous budget for AI tools, courses, conferences, and model API creditsFlexible remote setupA team that treats AI engineering as a craft worth mastering – you will ship real, hard, meaningful work, fast.

Location: Dubai, United Arab EmiratesEmployment Type: Full-Time, OnsiteAbout noonWe’re building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we’re looking for an Account Manager who can help us move even faster.noon’s mission: Every door, every dayWhat you'll do:Team noon has some of the fastest, smartest, and hardest-working people we've encountered. We are looking for ambitious and passionate UAE National graduates to join our Technology team at noon. This is an exciting opportunity for recent graduates who are eager to build a career in software engineering, artificial intelligence, and emerging technologies.As part of this program, you will join one of our engineering teams and work alongside experienced software engineers, product managers and technical leaders on projects that directly impact millions of customers across the region. You will receive hands-on mentorship, structured learning opportunities, and exposure to cutting-edge technologies while developing your technical and professional skills.Whether your interests lie in AI, machine learning, backend engineering, data, or platform development, this program is designed to help you discover your strengths and build a long-term career within Technology at noon.Join one of our Technology teams and contribute to real engineering projects from day one.Work alongside experienced engineers to design, develop, test, and deploy scalable software solutions.Support the development of AI-driven products and automation initiatives across the business.Learn modern software engineering practices, development frameworks, and cloud technologies.Collaborate with cross-functional teams including Product, Data, and Engineering.Participate in technical training, mentoring sessions, and continuous learning opportunities.Contribute ideas that improve customer experience and operational efficiency.What you'll need:UAE National (Family Book required).Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, Data Science, or a related technical discipline.Recent graduate or up to 2 years of professional experience.Strong interest in Artificial Intelligence, Machine Learning, Software Engineering, or emerging technologies.Basic programming knowledge in languages such as Java, Python, C++, JavaScript, or similar.Strong analytical and problem-solving skills.Eagerness to learn, grow, and work in a fast-paced technology environment.Excellent communication and collaboration skills.Who will excel?We’re looking for people with high standards, who understand that hard work matters.You need to be relentlessly resourceful and operate with a deep bias for action.We need people with the courage to be fiercely original.noon is not for everyone; readiness to adapt, pivot, and learn is essential.

AI Strategy and Vision Develop a comprehensive AI and data science strategy that aligns with the company's objectives and long-term vision. Identify and evaluate opportunities for integrating AI and data science into existing processes and operations to improve efficiency and decision making. Lead end-to-end project management of AI initiatives, from conception to deployment and post-implementation evaluation. Collaborate with cross-functional teams to define project scope, requirements, and deliverables. Data Analysis and Modeling Oversee the development of machine learning models and algorithms for various applications, such as predictive analytics, natural language processing, and computer visionEnsure data quality and integrity and implement best practices for data preprocessing and feature engineering and model evaluationEvaluate and select appropriate tools, technologies and frameworks for data analysis and modelingEstablish monitoring mechanisms to track project performance, identify areas for improvement, and report progress to stakeholdersCreate repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data productsInnovation and Research Stay abreast of the latest developments and trends in AI and data science, exploring innovative solutions and emerging technologies that can benefit the organizationRegularly evaluate the performance of AI projects and data science initiatives and provide detailed reports to senior managementUse data-driven insights to propose improvements and optimizations to existing processesData PrivacyEnsure compliance with data privacy regulations and ethical guidelines throughout all data science activitiesImplement data protection measures and maintain confidentiality of sensitive informationIdentify potential risks and challenges associated with AI projects and data science initiatives RequirementsBachelor's or Master's Degree in Computer Sciences / Data Science/ AIStrong background in machine learning, statistical analysis, and data visualization

About DataCampDataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.About the roleResearch has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. This role can be done remotely from anyone of the following; United States, United Kingdom, Belgium, Portugal OR UAEAbout youAt DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!ResponsibilitiesBuild and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence.Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.QualificationsTechnical1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.Product & PedagogyStrong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.Ability to reason holistically across AI behavior, content structure, platform features, and user experience.Familiarity with learning science or a desire to develop expertise.Character & CollaborationDrawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.Preference for elegance and simplicity in system design.Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.Competitive compensation: We offer a competitive salary with attractive benefits.Flexibility: Benefit from flexible working hours because the future is flexible! Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.Global retreats: Participate in international company retreats, fostering a global team spirit.Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.Amazing team: Collaborate with a truly exceptional team—seriously, we're awesome!

About DataCampDataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.About the roleResearch has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.We're building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.About youAt DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!ResponsibilitiesBuild and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence.Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.QualificationsTechnical1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.Product & PedagogyStrong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.Ability to reason holistically across AI behavior, content structure, platform features, and user experience.Familiarity with learning science or a desire to develop expertise.Character & CollaborationDrawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.Preference for elegance and simplicity in system design.Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.Competitive compensation: We offer a competitive salary with attractive benefits.Flexibility: Benefit from flexible working hours because the future is flexible! Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.Global retreats: Participate in international company retreats, fostering a global team spirit.Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.Amazing team: Collaborate with a truly exceptional team—seriously, we're awesome!

We are hiring a 𝐀𝐢 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 for an 𝐀𝐛𝐮 𝐃𝐡𝐚𝐛𝐢-𝐛𝐚𝐬𝐞𝐝 opportunity 🇦🇪.This is an exciting opportunity for an early-career software engineer who wants to build real-world AI solutions, work with modern cloud technologies, and grow their experience across Generative AI, application development, and intelligent digital products.𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬-Support the creation and enhancement of AI-powered digital solutions, working across both backend services and user-facing applications.-Build reliable software components and integrations that can be reused across different products and technology initiatives.-Contribute to cloud-based application development while helping improve performance, scalability, security, and overall user experience.-Collaborate with engineers, product teams, designers, and data specialists to turn ideas and business requirements into working features.-Support software quality through testing, troubleshooting, code reviews, and continuous improvements throughout the development lifecycle.-Explore emerging Ai and software engineering technologies and apply new approaches that improve development efficiency and product capabilities.𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬-Bachelor’s degree in Computer Science, Engineering, Software Engineering, or a related technical discipline.-2+ years of software development experience, ideally with some exposure to Ai-enabled products or digital solutions.-Hands-on knowledge of technologies such as Python, JavaScript/TypeScript, React, or comparable modern development frameworks.-Good understanding of APIs, backend/frontend development concepts, authentication, and secure application development.-Exposure to cloud platforms, container technologies such as Docker, version control, and CI/CD practices; Kubernetes knowledge is an advantage.-Strong interest in AI/ML, Generative AI, and agent-based technologies, with enthusiasm for learning and developing in this space.𝐖𝐡𝐚𝐭 𝐌𝐚𝐤𝐞𝐬 𝐓𝐡𝐢𝐬 𝐑𝐨𝐥𝐞 𝐒𝐭𝐫𝐨𝐧𝐠A great opportunity to build hands-on experience with modern AI technologies while working alongside multidisciplinary teams on practical, scalable digital solutions.𝐇𝐨𝐰 𝐭𝐨 𝐀𝐩𝐩𝐥𝐲If you’re a software engineer looking to grow your career in AI and work on meaningful technology projects, we’d love to hear from you.***Only shortlisted candidates will be contacted***