Qureos Mentor

Boundless

<div>
 
 
 Role Overview
 
 
 
 We are looking for a Talent Operations Specialist to support the effective management of the employee lifecycle, with a particular focus on onboarding, employee documentation, and talent-related reporting. The role will be responsible for ensuring that new employees experience a structured and professional onboarding process, while supporting the implementation and administration of the company&rsquo;s performance management framework. The Talent Operations Specialist will work closely with employees, managers, HR, and department heads to coordinate onboarding activities, maintain accurate employee records, track probation and performance review cycles, and ensure that all talent processes are completed consistently and on time.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 Onboarding and Employee Integration
 
 <ul>
 <li>
 Coordinate the full onboarding process for new employees from offer acceptance through the completion of their probation period.
 </li>
 <li>
 Prepare onboarding schedules, welcome packs, employee documentation, induction materials, and internal announcements.
 </li>
 <li>
 Coordinate with IT, Administration, Finance, and relevant departments to ensure system access, equipment, workspaces, and other requirements are ready before each employee&rsquo;s joining date.
 </li>
 <li>
 Conduct or coordinate company orientation sessions covering policies, procedures, organizational structure, benefits, and workplace expectations.
 </li>
 <li>
 Ensure all required employment documents, forms, acknowledgements, and approvals are completed and properly recorded.
 </li>
 <li>
 Schedule introductory meetings, departmental inductions, training sessions, and key stakeholder meetings for new employees.
 </li>
 <li>
 Monitor onboarding progress through structured check-ins with employees and line managers.
 </li>
 <li>
 Collect onboarding feedback and identify opportunities to improve the employee experience and internal processes.
 </li>
 <li>
 Maintain onboarding checklists, trackers, employee files, and completion records.
 </li>
 </ul>
 
 Probation Management
 
 <ul>
 <li>
 Maintain an accurate tracker of employee probation periods, confirmation dates, and review deadlines.
 </li>
 <li>
 Notify managers in advance of upcoming probation reviews and provide the required assessment documentation.
 </li>
 <li>
 Follow up with managers to ensure probation evaluations are completed within the required timeframe.
 </li>
 <li>
 Coordinate probation confirmation, extension, or termination documentation in line with company policies.
 </li>
 <li>
 Ensure all probation-related decisions, approvals, and supporting documents are properly recorded.
 </li>
 <li>
 Prepare regular reports highlighting pending, overdue, and completed probation reviews.
 </li>
 </ul>
 
 Performance Management
 
 <ul>
 <li>
 Support the administration and implementation of the company&rsquo;s performance management framework.
 </li>
 <li>
 Coordinate annual, mid-year, quarterly, and probationary performance review cycles.
 </li>
 <li>
 Maintain performance review calendars, employee eligibility lists, evaluation forms, and completion trackers.
 </li>
 <li>
 Guide employees and managers on performance review procedures, timelines, rating criteria, and documentation requirements.
 </li>
 <li>
 Follow up with department heads and line managers to ensure reviews are completed accurately and on time.
 </li>
 <li>
 Review submitted performance evaluations for completeness, consistency, and appropriate supporting comments.
 </li>
 <li>
 Track employee objectives, KPIs, development plans, performance ratings, and review outcomes.
 </li>
 <li>
 Support the documentation and monitoring of performance improvement plans.
 </li>
 <li>
 Maintain confidential and accurate performance records.
 </li>
 <li>
 Prepare performance management reports, completion summaries, rating distributions, and management dashboards.
 </li>
 <li>
 Support calibration meetings by preparing relevant employee and performance information.
 </li>
 <li>
 Identify recurring performance-related gaps and support the development of appropriate improvement initiatives.
 </li>
 </ul>
 
 Employee Lifecycle Operations
 
 <ul>
 <li>
 Maintain accurate and up-to-date employee records throughout the employment lifecycle.
 </li>
 <li>
 Track employee milestones, including joining dates, probation periods, contract renewals, promotions, transfers, and performance reviews.
 </li>
 <li>
 Prepare employee letters and documentation related to confirmations, promotions, transfers, title changes, and other employment updates.
 </li>
 <li>
 Ensure employee information is accurately reflected across HR systems, trackers, organizational charts, and internal records.
 </li>
 <li>
 Support internal employee movements and ensure the required documentation and approvals are completed.
 </li>
 <li>
 Coordinate exit clearance and offboarding processes when required, including documentation, asset returns, and final handover tracking.
 </li>
 </ul>
 
 HR Policies and Process Compliance
 
 <ul>
 <li>
 Support the implementation and communication of HR policies, procedures, and employee guidelines.
 </li>
 <li>
 Ensure onboarding, probation, and performance processes are completed in accordance with company policies and applicable employment requirements.
 </li>
 <li>
 Maintain proper documentation and audit trails for all talent operations activities.
 </li>
 <li>
 Monitor employee and manager compliance with required HR processes and timelines.
 </li>
 <li>
 Assist in updating onboarding materials, performance review forms, employee handbooks, and internal procedures.
 </li>
 <li>
 Identify process gaps and recommend improvements to increase efficiency, consistency, and employee experience.
 </li>
 </ul>
 
 Reporting and Coordination
 
 <ul>
 <li>
 Maintain talent operations dashboards, trackers, and employee lifecycle reports.
 </li>
 <li>
 Prepare regular reports on onboarding completion, probation status, performance review completion, and overdue actions.
 </li>
 <li>
 Monitor key talent operations metrics and highlight areas requiring management attention.
 </li>
 <li>
 Coordinate closely with department heads, managers, HR, IT, Finance, and Administration.
 </li>
 <li>
 Respond to employee and manager queries relating to onboarding, probation reviews, performance processes, and HR documentation.
 </li>
 <li>
 Ensure all employee information is handled with a high level of confidentiality and accuracy.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Human Resources, Business Administration, Management, or a related field.
 </li>
 <li>
 Minimum of 3&ndash;5 years of experience in HR operations, talent operations, employee experience, or performance management.
 </li>
 <li>
 Practical experience coordinating employee onboarding and probation review processes.
 </li>
 <li>
 Strong understanding of performance appraisal cycles, KPI tracking, employee objectives, and performance documentation.
 </li>
 <li>
 Experience maintaining HR records, employee trackers, and management reports.
 </li>
 <li>
 Strong organizational and follow-up skills, with the ability to manage multiple deadlines.
 </li>
 <li>
 Excellent attention to detail and accuracy when handling employee information and documentation.
 </li>
 <li>
 Strong written and verbal communication skills.
 </li>
 <li>
 Ability to communicate professionally with employees, managers, and senior stakeholders.
 </li>
 <li>
 High level of discretion and confidentiality.
 </li>
 <li>
 Proficiency in Microsoft Excel, PowerPoint, Word, and HR management systems.
 </li>
 <li>
 Knowledge of UAE employment practices is preferred.
 </li>
 </ul>
 
 
 
 
 
 Key Skills
 
 
 <ul>
 <li>
 Employee Onboarding
 </li>
 <li>
 Probation Management
 </li>
 <li>
 Employee Lifecycle Coordination
 </li>
 <li>
 HR Operations
 </li>
 <li>
 KPI and Objective Tracking
 </li>
 <li>
 Performance Review Administration
 </li>
 <li>
 HR Policies and Procedures
 </li>
 <li>
 Employee Documentation
 </li>
 <li>
 HR Reporting and Dashboards
 </li>
 <li>
 Process Improvement
 </li>
 <li>
 Stakeholder Coordination
 </li>
 <li>
 HR Systems and Data Management
 </li>
 <li>
 Confidentiality and Data Accuracy
 </li>
 <li>
 Employee Experience
 </li>
 </ul>
 
 
</div>

Talent Operations Specialist

<div>
 
 
 
 Role Overview:
 
 
 
 
 We&rsquo;re looking to hire an
 
 Executive Assistant to the Chairman
 
 . This key role involves comprehensive support to the Chairman and Operations Department, requiring robust communication, organization, and efficient management of senior executives&rsquo; daily tasks.
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 Calendar Management and Scheduling
 
 :
 
 <ul>
 <li>
 Efficiently manage the Chairman&rsquo;s calendar, coordinating appointments, meetings, and conference calls.
 </li>
 <li>
 Prioritize and optimize scheduling to maximize the Chairman&rsquo;s time.
 </li>
 </ul>
 
 
 Travel Coordination
 
 :
 
 <ul>
 <li>
 Arrange complex travel logistics for the Chairman, including flights, accommodations, and ground transportation.
 </li>
 <li>
 Anticipate travel needs and handle adjustments promptly.
 </li>
 </ul>
 
 
 Document Preparation and Organization
 
 :
 
 <ul>
 <li>
 Create, edit, and format documents, presentations, and reports for executive meetings.
 </li>
 <li>
 Maintain an organized digital and physical filing system.
 </li>
 </ul>
 
 
 Special Projects and Initiatives
 
 :
 
 <ul>
 <li>
 Collaborate with C-level executives on strategic projects, conducting research, data analysis, and project coordination.
 </li>
 <li>
 Assist in preparing materials for board meetings and high-level presentations.
 </li>
 </ul>
 
 
 Confidentiality and Discretion
 
 :
 
 <ul>
 <li>
 Handle sensitive information with utmost confidentiality.
 </li>
 <li>
 Exercise discretion when dealing with confidential documents and discussions.
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 
 Professionalism
 
 : Represent the Chairman and the firm with the highest level of professionalism and integrity.
 </li>
 <li>
 
 Typing Speed
 
 : A minimum of 60 WPM is required for this role.
 </li>
 <li>
 
 Communication Skills
 
 : Excellent verbal and written communication skills in English (other languages are a plus).
 </li>
 <li>
 
 Software Proficiency
 
 : Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).
 </li>
 <li>
 
 Attention to Detail
 
 : Meticulous in document preparation and data management.
 </li>
 <li>
 
 Adaptability
 
 : Comfortable in a fast-paced, ever-changing environment.
 </li>
 <li>
 
 Positive Attitude
 
 : Proactive, solution-oriented, and maintains a positive outlook.
 </li>
 </ul>
</div>

Operations Executive Assistant (Arabic Speaker)

<div>
 
 
 Company Overview
 
 
 
 Our client, a global and rapidly growing financial services group, operates across international markets through a technology-driven, regulated business model. The organisation is investing significantly in Artificial Intelligence, advanced analytics, intelligent automation, and next-generation software engineering capabilities to enhance its platforms, products, internal operations, and customer experience.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced AI Engineering Lead to establish and drive the organisation&rsquo;s LLM Engineering capability and accelerate AI-powered software development across multiple technology teams. This role will define the standards, architecture, tooling, governance, and development practices required to build secure, scalable, production-ready AI solutions. You will guide engineering teams in adopting modern AI-assisted development workflows, leveraging frontier LLMs, agentic architectures, enterprise RAG systems, and intelligent automation platforms.
 
 
 Working closely with Engineering Managers, Solution Architects, Product Owners, and senior leadership, you will ensure that AI becomes an embedded part of the software development lifecycle. The role combines hands-on technical leadership, architecture oversight, team enablement, and enterprise-wide AI transformation.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 AI Engineering Leadership &amp; Delivery
 
 
 <ul>
 <li>
 Lead the design, development, and implementation of enterprise-grade LLM applications, AI agents, intelligent automation solutions, and AI-native software products.
 </li>
 <li>
 Guide and mentor engineering teams on AI architecture, prompting strategy, agent design, model selection, code quality, and production deployment.
 </li>
 <li>
 Conduct AI solution design and technical architecture reviews before development begins.
 </li>
 <li>
 Establish engineering standards for secure, scalable, maintainable, and measurable AI implementations.
 </li>
 <li>
 Support teams in adopting AI-first development methodologies while maintaining strong software engineering quality, security, and delivery discipline.
 </li>
 </ul>
 
 
 AI-Assisted Software Engineering
 
 
 <ul>
 <li>
 Champion the use of AI coding and development environments including Claude Code, OpenAI Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, and emerging AI engineering tools.
 </li>
 <li>
 Define enterprise standards for AI-assisted software engineering, developer prompting, code generation, review workflows, and responsible use of AI development tools.
 </li>
 <li>
 Develop reusable prompt libraries, engineering playbooks, technical documentation, and best-practice frameworks.
 </li>
 <li>
 Introduce practical AI-assisted development workflows that improve engineering productivity, code quality, testing, documentation, and delivery speed.
 </li>
 <li>
 Establish methods to measure and improve developer productivity through AI-enabled engineering practices.
 </li>
 </ul>
 
 
 LLM Engineering &amp; Agentic Systems
 
 
 <ul>
 <li>
 Design and optimise production-grade LLM applications using leading models including Claude, OpenAI, Gemini, Mistral, Llama, DeepSeek, and other suitable providers.
 </li>
 <li>
 Build AI agents and multi-agent workflows using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack, and LlamaIndex.
 </li>
 <li>
 Design and implement enterprise RAG systems using vector databases, knowledge graphs, structured data sources, and internal documentation repositories.
 </li>
 <li>
 Develop scalable MCP servers, tool integrations, API connectors, and secure AI access layers for enterprise systems.
 </li>
 <li>
 Evaluate new LLMs, frameworks, AI platforms, and engineering tools, making recommendations for adoption based on technical fit, security, cost, performance, and business value.
 </li>
 </ul>
 
 
 AI Platform, Architecture &amp; Governance
 
 
 <ul>
 <li>
 Define enterprise AI architecture standards, reference architectures, reusable components, and internal AI platform capabilities.
 </li>
 <li>
 Design secure integrations between LLMs, internal systems, APIs, databases, workflows, and customer-facing applications.
 </li>
 <li>
 Establish guardrails, AI evaluation frameworks, observability standards, model monitoring, prompt testing, and responsible AI practices.
 </li>
 <li>
 Lead technical decision-making around AI infrastructure, deployment patterns, cloud architecture, model hosting, orchestration, and scalability.
 </li>
 <li>
 Support the development of AI governance frameworks covering data privacy, security, access controls, explainability, quality assurance, and risk management.
 </li>
 </ul>
 
 
 Capability Development &amp; Adoption
 
 
 <ul>
 <li>
 Develop an AI Engineering Maturity Model to assess and improve AI adoption across engineering teams.
 </li>
 <li>
 Deliver internal workshops, technical training sessions, and practical enablement programmes for developers, architects, and engineering leaders.
 </li>
 <li>
 Train teams on LLM engineering workflows, AI coding assistants, agentic architectures, RAG implementation, and AI observability practices.
 </li>
 <li>
 Create and maintain internal documentation, coding standards, architecture guidelines, and engineering playbooks.
 </li>
 <li>
 Stay current with emerging AI technologies and continuously identify opportunities to strengthen the organisation&rsquo;s AI engineering capability.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline.
 </li>
 <li>
 At least 7 years of software engineering experience, including strong exposure to software architecture, enterprise applications, APIs, cloud platforms, and modern software delivery practices.
 </li>
 <li>
 At least 3 years of practical experience designing and deploying production LLM applications, AI agents, RAG systems, or intelligent automation solutions.
 </li>
 <li>
 Demonstrated experience leading AI engineering initiatives across multiple engineering teams or business units.
 </li>
 <li>
 Strong hands-on knowledge of LLM application development, prompt engineering, RAG, agentic architectures, MCP, model evaluation, orchestration frameworks, and AI observability.
 </li>
 <li>
 Experience with agent frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack, or similar technologies.
 </li>
 <li>
 Experience working with vector databases and knowledge systems such as Pinecone, Weaviate, pgvector, Qdrant, Chroma, or similar tools.
 </li>
 <li>
 Strong programming ability in Python and ideally TypeScript, with experience developing APIs using FastAPI or similar frameworks.
 </li>
 <li>
 Strong understanding of REST APIs, Docker, Kubernetes, Git, CI/CD, cloud deployment, and enterprise software integration.
 </li>
 <li>
 Experience with AWS, Microsoft Azure, Google Cloud Platform, or multi-cloud environments.
 </li>
 <li>
 Familiarity with AI observability and evaluation tools such as LangSmith, Helicone, MLflow, Weights &amp; Biases, OpenTelemetry, or similar platforms.
 </li>
 <li>
 Proven ability to mentor engineers, influence technical direction, establish standards, and communicate complex AI concepts to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Building or leading AI Engineering Centres of Excellence.
 </li>
 <li>
 Establishing enterprise AI governance, responsible AI, and AI risk-management frameworks.
 </li>
 <li>
 Driving AI transformation programmes across software engineering organisations.
 </li>
 <li>
 Defining AI coding standards, AI-SDLC frameworks, and AI-assisted development methodologies.
 </li>
 <li>
 Building enterprise LLM platforms, internal AI tools, reusable AI components, or shared AI services.
 </li>
 <li>
 Implementing enterprise RAG, multi-agent architectures, MCP servers, and AI workflow automation.
 </li>
 <li>
 Measuring productivity, quality, adoption, and delivery improvements resulting from AI-enabled software development.
 </li>
 <li>
 Experience within financial services, fintech, trading, payments, regulated technology environments, or large-scale enterprise platforms.
 </li>
 </ul>
 
 
 
 
 
 Key Technology Areas
 
 
 <ul>
 <li>
 Frontier LLMs: Claude, OpenAI GPT models, Gemini, Mistral, Llama, DeepSeek
 </li>
 <li>
 AI Development Tools: Claude Code, Cursor, GitHub Copilot, Gemini CLI, Windsurf, OpenAI Codex, Continue.dev
 </li>
 <li>
 Agent Frameworks: LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, Haystack
 </li>
 <li>
 Automation: n8n, Make, Zapier, Apache Airflow
 </li>
 <li>
 Knowledge Systems: Pinecone, Weaviate, pgvector, Qdrant, Chroma, LlamaIndex
 </li>
 <li>
 Engineering: Python, TypeScript, FastAPI, REST APIs, Docker, Kubernetes, Git, CI/CD
 </li>
 <li>
 Cloud Platforms: AWS, Azure, Google Cloud Platform
 </li>
 <li>
 AI Observability: LangSmith, Helicone, MLflow, Weights &amp; Biases, OpenTelemetry
 </li>
 </ul>
</div>

AI Engineering Lead – LLM Engineering, AI Development & Intelligent Automation

<div>
 
 
 Company Overview
 
 
 
 Our client, a globally regulated financial services group with a strong international presence, provides online trading and investment solutions across multiple markets. The business is continuing to strengthen its digital footprint through data-led marketing, high-quality content, performance campaigns, and AI-enabled marketing tools.
 
 
 
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking an AI-focused Digital Marketing Executive to drive the use of artificial intelligence across social media, content creation, campaign optimisation, research, and marketing automation. This role is ideal for someone who understands digital marketing fundamentals but stands out through hands-on use of AI tools to produce better content, move faster, automate workflows, analyse performance, and identify opportunities for growth.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Lead the use of AI tools across social media planning, content creation, copywriting, creative production, research, reporting, and workflow automation
 </li>
 <li>
 Develop AI-supported social media calendars for LinkedIn, Instagram, Facebook, X, TikTok, YouTube, and other relevant platforms
 </li>
 <li>
 Create high-quality AI-assisted content including captions, campaign copy, short-form posts, carousels, visuals, video concepts, scripts, and content variation
 </li>
 <li>
 Use generative AI tools to develop multiple creative angles, audience-specific messaging, and campaign variations for testing
 </li>
 <li>
 Identify and implement opportunities to automate repetitive marketing tasks using AI and no-code tools
 </li>
 <li>
 Build and improve workflows using platforms such as ChatGPT, Claude, Gemini, Canva AI, Midjourney, CapCut AI, Zapier, Make, n8n, or similar tools
 </li>
 <li>
 Conduct AI-supported competitor analysis, trend monitoring, audience research, sentiment analysis, and content opportunity mapping
 </li>
 <li>
 Support paid social campaigns through AI-led creative testing, copy variations, audience insight generation, and performance optimization
 </li>
 <li>
 Analyse social media and campaign performance using AI tools and reporting platforms, translating data into clear recommendations
 </li>
 <li>
 Work closely with design, content, PR, performance marketing, product, and compliance teams to deliver AI-enabled campaigns
 </li>
 <li>
 Ensure all AI-generated content is accurate, brand-aligned, compliant, and reviewed before publication
 </li>
 <li>
 Stay updated on emerging AI marketing tools, platform capabilities, and best practices, recommending practical use cases for the business
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 4+ years of experience in digital marketing, social media, content marketing, growth marketing, or a related role
 </li>
 <li>
 Strong hands-on experience using AI tools for marketing, content creation, research, automation, analytics, or campaign optimization
 </li>
 <li>
 Practical experience with tools such as ChatGPT, Claude, Gemini, Canva AI, CapCut AI, Midjourney, Runway, Zapier, Make, n8n, or similar platforms.
 </li>
 <li>
 Strong understanding of social media platforms, content formats, algorithms, audience behaviour, and engagement trends.
 </li>
 <li>
 Strong English copywriting skills, with the ability to create clear, engaging, and platform-specific content.
 </li>
 <li>
 Experience creating AI-assisted visuals, short-form videos, social posts, carousels, and campaign assets.
 </li>
 <li>
 Familiarity with social media analytics, campaign reporting, and performance metrics including reach, engagement, traffic, leads, and conversions.
 </li>
 <li>
 Basic understanding of paid social media advertising and creative performance testing is preferred.
 </li>
 <li>
 Strong organisational skills, attention to detail, and the ability to manage multiple campaigns and deadlines.
 </li>
 <li>
 A curious, experimental mindset with a genuine interest in AI, automation, digital trends, and new marketing technologies.
 </li>
 <li>
 Experience in financial services, fintech, forex, crypto, or another regulated industry is an advantage.
 </li>
 </ul>
</div>

AI Social Media Specialist

Join Boundless and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Boundless

About Company

Talent Operations Specialist

Operations Executive Assistant (Arabic Speaker)

AI Engineering Lead – LLM Engineering, AI Development & Intelligent Automation

AI Social Media Specialist