ai automation

RE/MAX Smart Concept

Job description:Job description:Job Title: AI Automation Engineer - Real Estate Experience Location: Abu Dhabi, UAE Job Type: Full-Time | Office-Based Company: RE/MAX Smart Concept Real EstateAbout the PositionRE/MAX Smart Concept Real Estate is seeking a highly capable AI Automation Engineer to build and maintain automation workflows across our CRM and internal operational systems.This role is hands-on and execution focused, responsible for developing reliable automation systems, implementing API integrations, and ensuring long-term system stability.We are looking for a professional who can design and manage automation infrastructure that operates consistently, efficiently, and without disruption.Real Estate Industry Experience &ndash; Highly PreferredCandidates with experience working within real estate technology environments will be given priority, especially those familiar with:<ul><li>Real estate brokerage systems</li><li>Property management platforms</li><li>CRM environments used in real estate companies</li><li>Lead routing and distribution systems</li><li>Property listing integrations</li><li>Portal connectivity and data synchronization</li></ul>Understanding agent workflows, listing distribution, and real estate lead management will be considered a strong advantage.Key Responsibilities<ul><li>Design and implement automation workflows using Make, Zapier, or n8n</li><li>Integrate CRM systems using API-based read and write operations</li><li>Connect automation workflows with platforms such as:</li><li>Slack</li><li>Email systems</li><li>WhatsApp Business API</li><li>Implement structured logging, monitoring, retry mechanisms, and error handling</li><li>Test, document, and maintain automation systems</li><li>Ensure reliability, performance, and long-term operational stability</li><li>Maintain ownership of automation infrastructure and integrations</li></ul>Required Qualifications<ul><li>Strong hands-on experience with Make, Zapier, or n8n</li><li>Proven experience integrating CRM platforms through APIs (Bitrix24 or similar systems preferred)</li><li>Experience integrating Slack, Email services, and WhatsApp Business API</li><li>Solid understanding of:</li><li>REST APIs</li><li>Webhooks</li><li>Automation logic (Trigger &rarr; Action)</li><li>Data flow architecture</li><li>Error handling and retry strategies</li></ul>Important Notes<ul><li>This role focuses strictly on automation engineering and system execution</li><li>The position does not involve AI model training or LLM research</li><li>No responsibilities related to CRM redesign or consulting</li><li>Long-term ownership of automation systems is expected</li><li>We are looking for candidates with production-level experience and a strong focus on system reliability</li></ul>Employment DetailsEmployment Type: Full-Time Location: Abu Dhabi, UAE (Office-Based) Department: Technology / SystemsThis position offers long-term responsibility for automation infrastructure within a growing real estate organization.Application ProcessInterested candidates should submit their CV along with a short summary including:<ul><li>Examples of automation systems built in production</li><li>CRM platforms integrated</li><li>Tools and technologies used</li><li>Experience working with real estate companies (if applicable)</li></ul>Job Type: Full-timeExperience:<ul><li>Real Estate : 1 year (Required)</li></ul>Work Location: In person

AI Automation

Emirates Investment Authority

<div>Purpose 
The Senior Manager &ndash; Business Solutions &amp; Digital Transformation is responsible for leading the delivery and evolution of enterprise business applications and digital solutions that support EIA&rsquo;s strategic, investment, and operational objectives. 
The role bridges business and technology, ensuring that business requirements are translated into scalable, secure, and digitally enabled solutions. Operating within a sovereign wealth fund environment, the role drives digital transformation, application modernization, automation, and AI-enabled capabilities, while ensuring strong governance, integration, and long-term sustainability of technology platforms. 

Strategic Responsibilities<ul><li> 
Define and execute the Business Solutions and Digital Transformation strategy aligned with organizational priorities and the enterprise technology roadmap.</li><li>Lead digital transformation initiatives that modernize platforms, digitize processes, and improve user experience across investment and corporate functions.</li><li>Identify opportunities for automation, workflow optimization, and AI-enabled enhancements that deliver measurable business value.</li><li>Oversee the enterprise application portfolio, ensuring solutions are integrated, scalable, secure, and fit for purpose.</li><li>Ensure strong governance over solution design, delivery, and lifecycle management in line with architecture and security standards.</li></ul>
Core Responsibilities1. Business Solutions &amp; Application Delivery<ul><li>Lead delivery, enhancement, and support of enterprise business applications (e.g., ERP, Investment systems, and workflow platforms).</li><li>Actively lead and participate in business process design and re-engineering, including the development of process maps, mind maps, and solution blueprints to translate business needs into actionable system designs.</li><li>Translate business requirements into solution designs in collaboration with architecture, infrastructure, data, and cybersecurity teams.</li><li>Drive modernization of legacy systems through cloud adoption, platform consolidation, and digital enablement.</li></ul>
2. Digital Transformation, Automation &amp; AI Enablement<ul><li>Deliver digital transformation initiatives with a strong focus on process digitization, simplification &amp;automation, supported by clearly defined process models and future-state designs. and improved information flow.</li><li>Lead the identification and definition of automation and AI use cases, using structured techniques such as process decomposition, value-stream mapping, and mind mapping</li><li>Support the integration of AI-enabled capabilities (e.g., intelligent automation, decision support, chatbots, analytics augmentation) within business solutions.</li><li>Ensure appropriate human-in-the-loop, transparency, and governance controls for AI-enabled solutions.</li></ul>
3. Stakeholder &amp; Demand Management<ul><li>Act as the primary technology interface for business units, managing demand intake, prioritization, and delivery.</li><li>Facilitate requirements workshops and solution design thinking and process discovery sessions, ensuring clear communication on scope, timelines, and outcomes.</li></ul>
4. Governance, Risk &amp; Vendor Management<ul><li>Ensure all solutions comply with IT governance, architecture standards, cybersecurity policies, and data governance requirements.</li><li>Manage relationships with application vendors, digital solution providers, and system integrators, including SLAs and delivery performance.</li><li>Support audits, risk assessments, and compliance reviews related to business systems and digital platforms.</li></ul>
People &amp; Capability Responsibilities<ul><li>Lead and develop the Business Solutions team, building strong delivery and digital transformation capability.</li></ul>
Promote modern delivery practices, continuous improvement, and a customer-focused mindset 
Requirements 
 
Education &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Information Technology, Computer Science, Engineering, Business Information Systems, or related field.</li><li>Master&rsquo;s degree or professional certifications (e.g., PMP,ITIL, TOGAF, Agile/Scrum, Digital Transformation) preferred.</li></ul>
Experience Requirements<ul><li>12&ndash;15 years of experience in IT, business systems, or digital solution delivery.</li><li>Minimum 5 years in a senior leadership role overseeing enterprise applications or digital transformation initiatives.</li><li>Experience in financial services, investment organizations, sovereign wealth funds, or other highly governed environments strongly preferred.</li><li>Proven track record delivering complex, enterprise-wide technology and digital transformation programs.</li></ul>
Technical Expertise / Skills / Knowledge<ul><li>Strong knowledge of enterprise applications, digital platforms, and automation technologies.</li><li>Solid understanding of AI concepts and their practical application in enterprise environments.</li><li>Experience with systems integration, cloud platforms, and application modernization.</li><li>Strong stakeholder management, leadership, and communication skills.</li><li>Ability to translate business strategy into effective digital and technology solutions.</li><li>Working knowledge of application architectures and integrations.</li><li>Familiarity with programming and automation concepts (design-level understanding)</li><li>Strong knowledge of infrastructure, networking, and cloud environments.</li></ul></div>

Senior Manager, Business Solutions

Greenfield Marine Technologies

We are looking for a hands-on GenAI Engineer to design, build, and deploy production-grade AI applications powered by Large Language Models (LLMs). This role is focused on turning business use cases into reliable, scalable AI solutions such as copilots, knowledge assistants, document intelligence tools, and workflow automation systems.The ideal candidate combines strong software engineering skills with practical experience in LLM application development, Retrieval-Augmented Generation (RAG), prompt engineering, model evaluation, and API integration. This person should be comfortable moving from prototype to production while optimizing for quality, latency, security, and cost. This builds on the original JD&rsquo;s emphasis on LLM apps, RAG, integrations, vector databases, and cloud deployment.Key Responsibilities:<ul><li>Design, develop, and deploy GenAI applications using LLMs for real-world business workflows.</li><li>Build AI-powered solutions such as chatbots, copilots, knowledge assistants, search assistants, and workflow automation tools</li><li>Architect and optimize RAG pipelines using structured and unstructured enterprise data.</li><li>Develop robust prompt strategies, guardrails, and response orchestration for accuracy and safety.</li><li>Integrate AI capabilities into web applications, backend systems, APIs, and enterprise platforms.</li><li>Work with vector databases and retrieval systems to improve relevance and response quality.</li><li>Evaluate model performance using defined quality metrics, test cases, and user feedback loops.</li><li>Improve production performance across latency, cost, scalability, observability, and reliability.</li><li>Collaborate with product, engineering, and business teams to translate use cases into deployable AI features.</li><li>Stay updated with emerging GenAI tools, frameworks, and model capabilities, and recommend practical adoption where relevant.</li></ul>Must-Have Skills: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong hands-on programming experience in Python. Experience building GenAI applications using frameworks such as LangChain, LlamaIndex, or equivalent orchestration tools. Experience working with OpenAI APIs, Anthropic, Bedrock, Azure OpenAI, or similar LLM platforms. Strong understanding of prompt engineering, RAG architecture, and LLM application design. Experience integrating AI models with REST APIs, web applications, and backend services. Familiarity with vector databases such as FAISS, Pinecone, Weaviate, Chroma, or similar. Good understanding of machine learning and NLP fundamentals.Experience deploying production-ready applications on AWS, Azure, or GCP.Ability to evaluate and improve model quality, including hallucination reduction and retrieval performance.Understanding of security, access control, and safe handling of enterprise data in AI applications.Preferred Skills : Experience with Amazon Bedrock. Experience with multimodal AI applications involving text, images, PDFs, and document processing. Familiarity with fine-tuning, adapters, or domain adaptation techniques for LLMs.Experience with Docker, Kubernetes, CI/CD pipelines, and MLOps workflows.Exposure to observability and monitoring tools for AI systems.Experience building domain-specific assistants for operations, compliance, technical support, or enterprise knowledge systems.Experience Required:2&ndash;3 years of experience in software engineering, machine learning, or AI application development.At least 1&ndash;2 years of practical experience working on GenAI / LLM-based applications in production or advanced PoCs.Job Types: Full-time, PermanentAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your Visa Status?</li><li>What is your Current Salary?</li><li>What is your Expected Salary?</li><li>Visa Expiry Date?</li><li>Duration of Notice Period?</li><li>Mention your available dates for an online interview</li></ul>Experience:<ul><li>GenAI: 2 years (Required)</li></ul>Location:<ul><li>Abu Dhabi (Required)</li></ul>Work Location: In person

GenAI Engineer

<div>Purpose 
The Total Rewards Manager is responsible for designing, optimizing, and governing the organization&rsquo;s Compensation, Benefits, and Reward frameworks to ensure competitiveness, internal equity, and alignment with the organization&rsquo;s strategic, financial, and Emiratization objectives.
The role plays a central part in supporting EIA&rsquo;s ability to attract, motivate, and retain top investment and corporate talent by developing market-responsive, performance-linked, and data-driven Total Rewards programs.
Operating in a sovereign wealth fund environment, the role also leads the integration of AI-enabled analytics, digital reward systems, automation, and predictive workforce cost modelling to enhance decision-making, compliance, and operational accuracy.
Strategic Responsibilities<ul><li> 
Design and implement a holistic Total Rewards Strategy covering compensation, benefits, recognition, allowances, performance-linked pay, and long-term incentives (where applicable).</li><li>Lead market intelligence and benchmarking exercises to ensure reward competitiveness for investment, specialist, and corporate roles.</li><li>Embed AI-driven insights, predictive analytics, and digital dashboards into reward governance, enabling proactive decision-making on workforce costs, equity risks, and talent retention.</li><li>Support financial planning, workforce modeling, and organizational design decisions by providing compensation implications, forecasts, and scenario analysis.</li><li>Ensure reward frameworks support Emiratization, mobility, internal progression, and leadership development pathways.</li><li>Maintain strong governance, documentation, and compliance across all reward programs in alignment with regulatory requirements and Board-approved policies.</li></ul> 
Core Responsibilities
 1. Compensation Structure &amp; Pay Governance<ul><li>Maintain and enhance salary structures, job grading systems, career levels, and compensation architecture across all functions.</li><li>Conduct job evaluations using methodologies such as Hay, Mercer, and Willis Towers Watson to ensure internal equity and role clarity.</li><li>Keep pay structures aligned with market trends, organizational priorities, and external competitiveness.</li><li>Ensure accurate and timely delivery of annual compensation cycles, including merit, promotions, off-cycle requests, and salary adjustments.</li></ul>
2. Performance-Linked Rewards &amp; Incentives<ul><li>Manage the execution of the annual bonus and incentive processes, ensuring data accuracy, compliance, and alignment with performance outcomes.</li><li>Provide modelling and analytical support on short-term incentives (STI) and long-term incentive (LTI) structures, including deferral implications and risk alignment.</li><li>Partner with Talent Management to integrate performance ratings, KPIs, and competency outcomes into reward decisions.</li></ul>
3. Benefits &amp; Allowances Management<ul><li>Oversee benefits programs including medical, life insurance, education allowances, pension (GPSSA/alternative plans), end-of-service benefits, and employee wellness offerings.</li><li>Manage vendor relationships, RFPs, contract renewals, service level agreements, and cost control measures.</li><li>Evaluate and enhance benefits offerings using employee utilization data, benchmarking insights, and satisfaction feedback.</li></ul>
4. HRIS, Digital Rewards &amp; AI Integration<ul><li>Lead digital transformation of Total Rewards processes by optimizing HRIS, payroll integrations, and compensation planning tools.</li><li>Develop dashboards using Power BI/Tableau for compensation analytics, workforce cost forecasting, attrition risk modelling, and pay equity monitoring.</li><li>Support the design and maintenance of AI-enabled HR chatbots that provide employees with automated responses to reward-related queries.</li><li>Ensure data governance, privacy compliance, and process automation across reward workflows.</li></ul>
5. Workforce Costing &amp; Reporting<ul><li>Partner with Finance to monitor and forecast workforce budgets, headcount costs, and reward spend.</li><li>Prepare Board- and Executive-level reporting on compensation trends, regulatory updates, and market outlooks.</li><li>Provide insights on pay competitiveness, turnover risk associated with pay, and cost modeling for organizational changes.</li></ul>
6. Compliance, Audit, &amp; Policy Management<ul><li>Ensure compliance with UAE labor law, regulatory requirements, GPSSA, tax obligations (if applicable), and internal governance frameworks.</li><li>Maintain all reward-related policies, ensuring clarity, transparency, and alignment with organizational risk appetite.</li><li>Lead internal and external audit processes for compensation and benefits, ensuring timely closure of findings.</li></ul>
People &amp; Leadership Responsibilities<ul><li> 
Provide leadership and guidance to the Total Rewards team to ensure effective execution of all reward initiatives.</li><li>Partner with HR Business Partners to support business units in addressing compensation and benefits matters.</li><li>Build awareness among line managers and employees on reward principles, policies, and practices.</li><li>Foster a culture of accountability, fairness, and recognition within the organization.</li></ul> 
Requirements 
 
Education &amp; Qualifications<ul><li> 
Bachelor&rsquo;s degree in Human Resources, Business Administration, Finance, or a related field.</li><li>Professional certifications such as CIPD, WorldatWork (CCP/CBP), or equivalent are preferred.</li></ul>
Experience Requirements<ul><li> 
10&ndash;12 years of progressive experience in Compensation, Benefits, or Total Rewards, including 3&ndash;5 years in a managerial or leadership role.</li><li>Experience in a sovereign wealth fund, asset management firm, investment bank, or large government-linked organization preferred.</li><li>Expertise in compensation design, salary benchmarking, job evaluation frameworks, and performance-linked reward programs.</li><li>Demonstrated experience integrating analytics, HRIS, automation, or AI-driven rewards systems.</li><li>Strong knowledge of UAE labor law, GPSSA requirements, compliance, and regulatory compensation standards.</li></ul>
 Technical Expertise / Skills / Knowledge<ul><li> 
Advanced analytical, modeling, and forecasting capability; expert-level Excel, Power BI, and HR analytics tools.</li><li>Strong understanding of pay structures, incentive design, job evaluation, and compensation governance.</li><li>HRIS proficiency (Workday, SAP, Oracle, or equivalent).</li><li>Familiarity with AI tools, automated workflows, and chatbot development for HR services.</li><li>High accuracy and integrity when working with confidential data.</li><li>Excellent communication, stakeholder management, and reporting skills.</li></ul></div>

Total Rewards Manager

<div>Purpose 

The Employee Relations Manager is responsible for executing employee relations and payroll-related activities assigned by the Senior Manager &ndash; Compensation &amp; Employee Relations. The role supports the consistent application of internal policies, conduct standards, payroll controls, and governance frameworks, ensuring accurate documentation, confidentiality, and operational discipline across employee relations and payroll interfaces. Operating as a senior individual contributor, the role manages ER cases, supports investigations, coordinates payroll inputs (including GPSSA), and contributes to reporting, audits, and digital process improvements. 

Strategic Responsibilities
<ul><li>Support the execution of the organization&rsquo;s Employee Relations framework, policies, and procedures.</li><li>Ensure consistent and fair application of ER processes across all departments.</li><li>Contribute ER data, case insights, and trend analysis to support management reporting and governance reviews.</li><li>Support digitalization, automation, and AI-enabled enhancements within employee relations processes.</li></ul> 
Core Responsibilities
1. Employee Relations<ul><li>Execute assigned employee relations cases, including grievances, conduct issues, investigations, and performance-related matters.</li><li>Collect information, conduct interviews, prepare case documentation, and draft summaries for review and approval.</li><li>Maintain accurate, confidential, and audit-ready ER records in line with internal governance standards.</li><li>Apply ER policies consistently and support updates and version control as directed.</li></ul>
 2. Payroll &amp; GPSSA Support<ul><li>Support payroll operations by validating ER-related payroll inputs such as disciplinary actions, unpaid leave, deductions, recoveries, and final settlements.</li><li>Coordinate GPSSA-related employee data updates, changes, and documentation in collaboration with Payroll and HR Operations.</li><li>Support reconciliation of payroll exceptions arising from ER actions or employee status changes.</li><li>Ensure payroll-related documentation linked to ER cases is complete, accurate, and properly approved.</li></ul>
 3. Reporting &amp; Governance<ul><li>Maintain ER and payroll trackers, logs, and case records.</li><li>Prepare periodic reports on ER cases, trends, and payroll-related ER impacts.</li><li>Support internal audits, governance reviews, and management reporting through accurate documentation and timely responses.</li></ul>
 4. Digital &amp; Systems Support<ul><li>Use HRIS, payroll systems, and ER case management tools to execute assigned activities.</li><li>Support HR chatbot content and digital workflows related to ER and payroll processes.</li><li>Participate in automation and system enhancement initiatives affecting ER and payroll interfaces.</li></ul> 
Requirements 
 
Education &amp; Qualifications 
<ul><li>Bachelor&rsquo;s degree in Human Resources, Finance, Business Administration, or a related field.</li><li>Master&rsquo;s degree and/or professional certifications (e.g., CIPD, SHRM, WorldatWork/CCP, Certified Compensation &amp; Benefits Professional) preferred.</li></ul>
Experience Requirements<ul><li>7&ndash;10 years of progressive HR experience with strong exposure to employee relations case handling and investigations.</li><li>Experience in an investment organization, financial institution, sovereign-linked entity, or other high-governance environment preferred.</li><li>Demonstrated ability to independently execute complex ER cases under management direction.</li><li>Experience working with HR systems, digital workflows, and reporting tools.</li></ul>
Technical Expertise / AI / Data Skills<ul><li>Strong ER case handling and documentation skills.</li><li>Working knowledge of payroll processes and GPSSA administration.</li><li>High attention to detail, confidentiality, and governance compliance.</li><li>Familiarity with HR systems, digital workflows, analytics dashboards, and AI-enabled HR tools.</li></ul></div>

Employee Relations Manager

<div>
 
 Purpose
 
 
 
 
 The Employee Relations Manager is responsible for executing employee relations and payroll-related activities assigned by the Senior Manager - Compensation &amp; Employee Relations. The role supports the consistent application of internal policies, conduct standards, payroll controls, and governance frameworks, ensuring accurate documentation, confidentiality, and operational discipline across employee relations and payroll interfaces.
 
 
 
 
 Operating as a senior individual contributor, the role manages ER cases, supports investigations, coordinates payroll inputs (including GPSSA), and contributes to reporting, audits, and digital process improvements.
 
 
 
 
 Strategic Responsibilities
 
 
 
 <ul>
 <li>
 Support the execution of the organization's Employee Relations framework, policies, and procedures
 </li>
 <li>
 Ensure consistent and fair application of ER processes across all departments
 </li>
 <li>
 Contribute ER data, case insights, and trend analysis to support management reporting and governance reviews
 </li>
 <li>
 Support digitalization, automation, and AI-enabled enhancements within employee relations processes
 
 
 </li>
 </ul>
 
 Core Responsibilities
 
 
 
 <ul>
 <li>
 Employee Relations
 </li>
 <li>
 Execute assigned employee relations cases, including grievances, conduct issues, investigations, and performance-related matters
 </li>
 <li>
 Collect information, conduct interviews, prepare case documentation, and draft summaries for review and approval
 </li>
 <li>
 Maintain accurate, confidential, and audit-ready ER records in line with internal governance standards
 </li>
 <li>
 Apply ER policies consistently and support updates and version control as directed
 </li>
 <li>
 Payroll &amp; GPSSA Support
 </li>
 <li>
 Support payroll operations by validating ER-related payroll inputs such as disciplinary actions, unpaid leave, deductions, recoveries, and final settlements
 </li>
 <li>
 Coordinate GPSSA-related employee data updates, changes, and documentation in collaboration with Payroll and HR Operations
 </li>
 <li>
 Support reconciliation of payroll exceptions arising from ER actions or employee status changes
 </li>
 <li>
 Ensure payroll-related documentation linked to ER cases is complete, accurate, and properly approved
 </li>
 <li>
 Reporting &amp; Governance
 </li>
 <li>
 Maintain ER and payroll trackers, logs, and case records
 </li>
 <li>
 Prepare periodic reports on ER cases, trends, and payroll-related ER impacts
 </li>
 <li>
 Support internal audits, governance reviews, and management reporting through accurate documentation and timely responses
 </li>
 <li>
 Digital &amp; Systems Support
 </li>
 <li>
 Use HRIS, payroll systems, and ER case management tools to execute assigned activities
 </li>
 <li>
 Support HR chatbot content and digital workflows related to ER and payroll processes
 </li>
 <li>
 Participate in automation and system enhancement initiatives affecting ER and payroll interfaces
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Education &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Human Resources, Finance, Business Administration, or a related field
 </li>
 <li>
 Master's degree and/or professional certifications (e.g., CIPD, SHRM, WorldatWork/CCP, Certified Compensation &amp; Benefits Professional) preferred
 
 
 </li>
 </ul>
 
 Experience Requirements
 
 
 
 <ul>
 <li>
 7-10 years of progressive HR experience with strong exposure to employee relations case handling and investigations
 </li>
 <li>
 Experience in an investment organization, financial institution, sovereign-linked entity, or other high-governance environment preferred
 </li>
 <li>
 Demonstrated ability to independently execute complex ER cases under management direction
 </li>
 <li>
 Experience working with HR systems, digital workflows, and reporting tools
 
 
 </li>
 </ul>
 
 Technical Expertise / AI / Data Skills
 
 
 
 <ul>
 <li>
 Strong ER case handling and documentation skills
 </li>
 <li>
 Working knowledge of payroll processes and GPSSA administration
 </li>
 <li>
 High attention to detail, confidentiality, and governance compliance
 </li>
 <li>
 Familiarity with HR systems, digital workflows, analytics dashboards, and AI-enabled HR tools
 </li>
 </ul>
</div>

Presight

<div>
 
 Senior Data Scientist &ndash; Large Language Models | Abu Dhabi, UAE
 
 
 
 
 
 Position Overview
 
 
 We are seeking a Senior Data Scientist with strong expertise in large language models (LLMs), agentic workflows, and applied machine learning. This role involves leading the design, training, and deployment of next-generation AI solutions that power intelligent agents, natural language interfaces, and knowledge-driven applications across domains. You will collaborate with cross-functional teams to deliver scalable, high-performance AI systems that unlock value from unstructured and structured data.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Design, build, and optimize LLM-based solutions for tasks such as text understanding, summarization, semantic search, dialogue systems, and reasoning.
 </li>
 <li>
 Develop and orchestrate agentic workflows, integrating LLMs with tools, APIs, and data pipelines for autonomous task execution.
 </li>
 <li>
 Fine-tune and align LLMs on domain-specific datasets, leveraging techniques such as RLHF, prompt engineering, retrieval-augmented generation (RAG), and knowledge grounding.
 </li>
 <li>
 Architect multi-modal AI pipelines combining LLMs with computer vision, knowledge graphs, and structured data.
 </li>
 <li>
 Ensure scalability, efficiency, and reliability of deployed models on cloud and edge environments.
 </li>
 <li>
 Stay updated with the latest research in GenAI, agents, and applied AI, translating findings into innovative product features.
 </li>
 <li>
 Collaborate with software engineers, data engineers, and product managers to integrate AI models into production systems.
 </li>
 <li>
 Document methodologies, publish internal best practices, and present findings to stakeholders.
 </li>
 </ul>
 
 Requirements
 
 
 Qualifications
 
 
 &bull; Master&rsquo;s or Ph.D. in Computer Science, Data Science, Machine Learning, Applied Mathematics, or related field.
 
 
 &bull; Advanced research and practical experience with large-scale machine learning models.
 
 
 &bull; 5+ years of hands-on experience in AI, machine learning, or intelligent agent system development.
 
 
 
 
 
 Experience
 
 
 &bull; Proven experience in developing and deploying LLM-powered solutions.
 
 
 &bull; Strong background in natural language processing (NLP), applied machine learning, and GenAI projects.
 
 
 &bull; Experience with orchestration frameworks (LangChain, LlamaIndex, Haystack, or equivalent).
 
 
 Skills
 
 <ul>
 <li>
 Proficiency in Python and ML frameworks (TensorFlow or PyTorch, Hugging Face).
 </li>
 <li>
 Hands-on with LLM fine-tuning, evaluation, and optimization.
 </li>
 <li>
 Knowledge of RAG pipelines, embeddings, and vector databases (e.g., FAISS, Pinecone, Milvus).
 </li>
 <li>
 Familiarity with agentic architectures and workflow automation frameworks.
 </li>
 <li>
 Familiarity with backend frameworks (e.g., FastAPI), containerization (Docker), and databases (PostgreSQL, Redis).
 </li>
 <li>
 Strong analytical, problem-solving, and research skills.
 </li>
 <li>
 Excellent communication skills to explain technical concepts to diverse audiences.
 </li>
 <li>
 Ability to thrive in fast-paced, collaborative environments.
 </li>
 </ul>
 
 Preferred
 
 <ul>
 <li>
 Experience with multi-agent systems, autonomous reasoning, and planning frameworks.
 </li>
 <li>
 Experience with vector databases (FAISS, Pinecone, Milvus) and orchestration frameworks (LangChain, LlamaIndex, Haystack).
 </li>
 <li>
 Knowledge of Model Context Protocol (MCP) and reasoning models is a plus.
 </li>
 <li>
 Familiarity with responsible AI, bias mitigation, and data privacy in LLM systems.
 </li>
 <li>
 Knowledge of real-time applications (e.g., chatbots, copilots, AI agents). Knowledge of AI coding tools (Cursor, Claude code, OpenAI Codex, github copilot
 </li>
 </ul>
</div>

Senior Data Scientist

Explore 65+ Ai automation in Abu Dhabi this April. Find roles across top companies and apply now to boost your career.

65 ai automation jobs In Abu Dhabi

AI Automation

Senior Manager, Business Solutions

GenAI Engineer

Total Rewards Manager

Employee Relations Manager

Employee Relations Manager

Senior Data Scientist