api developer

Suite Life Residential Property Care Services L.L.C

We are looking for a talented and experienced Backend Developer with strong expertise in PHP Laravel to join our growing development team. The ideal candidate will be responsible for designing, developing, and maintaining scalable backend systems, RESTful APIs, and third-party integrations that power our web and mobile applications.This role requires a developer with a strong understanding of backend architecture, database optimization, API security, and modern development practices.Key Responsibilities<ul><li>Design, develop, and maintain robust backend applications using PHP Laravel.</li><li>Build secure, scalable, and high-performance RESTful APIs for web and mobile applications.</li><li>Design and optimize PostgreSQL databases, including schema design, indexing, relationships, and query optimization.</li><li>Implement and manage Redis for caching, session management, queues, and real-time data processing.</li><li>Integrate third-party services, including Telr, PayTabs, Stripe, and other payment gateways.</li><li>Develop and maintain integrations with WhatsApp Business Cloud API and Meta Business API.</li><li>Implement authentication and authorization using JWT and OAuth.</li><li>Configure and manage Laravel Queues, scheduled jobs, and background processing.</li><li>Support real-time features using Node.js and Socket.io where required.</li><li>Troubleshoot, debug, and optimize application performance.</li><li>Collaborate with Frontend Developers, Mobile Developers, UI/UX Designers, QA Engineers, and Product Teams to deliver high-quality software.</li><li>Participate in code reviews and follow coding standards and best practices.</li><li>Create and maintain technical documentation for APIs and backend services.</li></ul>RequirementsTechnical Skills<ul><li>Minimum 3 years of experience in backend development using PHP.</li><li>Strong hands-on experience with Laravel Framework.</li><li>Proven experience designing and developing REST APIs.</li><li>Strong knowledge of PostgreSQL, including database design, relationships, indexing, and query optimization.</li><li>Experience using Redis for caching, sessions, queues, and real-time applications.</li><li>Experience integrating payment gateways such as Telr, PayTabs, Stripe, or similar.</li><li>Experience working with WhatsApp Business Cloud API and Meta Business API.</li><li>Solid understanding of Laravel Queue Management and background job processing.</li><li>Basic experience with Node.js and Socket.io for real-time services.</li><li>Experience implementing secure authentication using JWT and OAuth.</li><li>Strong understanding of Git version control and collaborative development workflows.</li></ul>Preferred Qualifications<ul><li>Experience developing marketplace, booking, or e-commerce platforms.</li><li>Familiarity with Node.js for real-time service collaboration.</li><li>Experience supporting bilingual applications, including Arabic language content and APIs.</li><li>Experience using AI-assisted development tools such as Cursor, GitHub Copilot, Claude, or similar to improve development productivity.</li><li>Knowledge of Docker, CI/CD pipelines, cloud platforms (AWS, Azure, or Google Cloud), and modern deployment practices is an advantage.</li></ul>Qualifications<ul><li>Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related field.</li><li>Strong analytical, debugging, and problem-solving skills.</li><li>Excellent communication and teamwork abilities.</li><li>Ability to work independently and manage multiple development tasks in a fast-paced environment.</li></ul>Job Type: Full-timePay: AED5,000.00 - AED8,000.00 per monthApplication Question(s):<ul><li>Can you start immediately?</li></ul>Experience:<ul><li>PHP Laravel: 3 years (Required)</li><li>Back-end development: 3 years (Required)</li></ul>Work Location: In person

Backend Developer

Confidential

<div>
 
 
 We're Hiring: Mid-Level .NET Backend Developer
 
 
 
 Are you passionate about building scalable, secure, and high-performance backend applications? We're looking for a
 
 Mid-Level .NET Backend Developer
 
 with
 
 around 3 years of professional experience
 
 to join our growing engineering team.
 
 
 
 
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Design, develop, and maintain RESTful APIs using
 
 .NET 8+
 
 .
 </li>
 <li>
 Build scalable backend services with clean, maintainable code.
 </li>
 <li>
 Collaborate with frontend developers, QA engineers, and product teams.
 </li>
 <li>
 Optimize application performance, security, and reliability.
 </li>
 <li>
 Design and optimize SQL Server/PostgreSQL databases.
 </li>
 <li>
 Participate in code reviews, architecture discussions, and Agile ceremonies.
 </li>
 <li>
 Work with caching, messaging, and background processing technologies.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 <ul>
 <li>
 Around
 
 3 years of professional experience
 
 with .NET backend development.
 </li>
 <li>
 Strong knowledge of
 
 C#, ASP.NET Core, Entity Framework Core, and SQL
 
 .
 </li>
 <li>
 Experience with
 
 REST APIs
 
 ,
 
 JWT Authentication
 
 , and
 
 Swagger/OpenAPI
 
 .
 </li>
 <li>
 Good understanding of
 
 Clean Architecture
 
 ,
 
 SOLID Principles
 
 , and design patterns.
 </li>
 <li>
 Experience with
 
 Redis
 
 ,
 
 RabbitMQ
 
 ,
 
 Docker
 
 ,
 
 Git
 
 , and
 
 CI/CD
 
 .
 </li>
 <li>
 Experience with
 
 Microsoft Azure or AWS
 
 .
 </li>
 <li>
 Strong problem-solving skills and a collaborative mindset.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with Microservices.
 </li>
 <li>
 SignalR.
 </li>
 <li>
 Kafka or Azure Service Bus.
 </li>
 <li>
 MongoDB.
 </li>
 <li>
 Basic knowledge of Kubernetes.
 </li>
 </ul>
 
 
 
 
 If you're passionate about building modern backend systems and enjoy working in a collaborative environment, we'd love to hear from you!
 
</div>

Back End Developer

Richmond Properties

<div>
 
 
 The Role
 
 
 
 We&rsquo;re looking for a talented Full Stack Developer to take ownership of our digital ecosystem&mdash;building, improving, and scaling internal tools, websites, and integrations that directly impact revenue and agent performance.
 
 
 This is a high-impact role where you&rsquo;ll work closely with leadership, marketing, and sales teams to deliver smart, scalable tech solutions.
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain company websites, landing pages, and web applications
 </li>
 <li>
 Build CRM integrations, automation workflows, and internal dashboards
 </li>
 <li>
 Optimize performance, UX/UI, and conversion across digital platforms
 </li>
 <li>
 Manage APIs and third-party integrations (property portals, CRM, marketing tools)
 </li>
 <li>
 Collaborate with marketing on lead generation funnels and tracking
 </li>
 <li>
 Troubleshoot issues and ensure system reliability and security
 </li>
 <li>
 Continuously improve tech stack to support business growth
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Proven experience as a Full Stack Developer (2&ndash;5+ years preferred)
 </li>
 <li>
 Strong skills in front-end (e.g. React, HTML, CSS, JavaScript)
 </li>
 <li>
 Strong back-end experience (e.g. Node.js, Python, PHP or similar)
 </li>
 <li>
 Experience with databases (SQL/NoSQL)
 </li>
 <li>
 Familiarity with CRM systems and API integrations
 </li>
 <li>
 Understanding of hosting, deployment, and cloud services
 </li>
 <li>
 Strong problem-solving skills and ability to work in a fast-paced environment
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience in real estate or lead-generation businesses
 </li>
 <li>
 Knowledge of SEO, tracking (Google Tag Manager, GA4), and performance marketing
 </li>
 <li>
 Experience building automation workflows (Zapier, Make, etc.)
 </li>
 </ul>
 
 
</div>

Full Stack Engineer

Five Nodes AI

We are seeking a skilled ERP Engineer capable of building and developing a complete ERP system from the ground up, and owning the entire process end-to-end: analysis, design, development, testing, and deployment. You will lead a team of junior developers and take full ownership of the system's quality and delivery.Experience with Odoo is a strong advantage. Experience with other global ERP platforms (SAP, Microsoft Dynamics, NetSuite, ERPNext, etc.) is welcome. The ability to develop companion mobile applications is a valuable plus.Key Responsibilities<ul><li>Lead the full ERP development lifecycle, from analysis to launch and operations.</li><li>Design system architecture, database schemas, and business modules.</li><li>Develop core modules: Accounting, Inventory, Procurement, Sales, HR, and others as needed.</li><li>Lead and mentor a team of junior developers, conduct code reviews, and raise their technical level.</li><li>Establish quality standards, manage Git repositories, and enforce development discipline.</li><li>Integrate the system with external services and platforms via APIs.</li><li>Document the system and ensure ongoing performance, maintenance, and improvement.</li></ul>Core Requirements<ul><li>Proven hands-on experience developing ERP systems (Odoo, SAP, or a comparable global platform).</li><li>Strong command of a core ERP development language (e.g. Python for Odoo, or relevant to the platform).</li><li>Solid database experience (PostgreSQL / MySQL / SQL).</li><li>Deep understanding of business processes (accounting, inventory, sales, procurement).</li><li>Proven ability to lead a technical team and own a full development cycle.</li><li>Proficiency with version control (Git) and development methodologies.</li></ul>Preferred (Plus)<ul><li>Mobile app development experience (React Native / Flutter / iOS / Android).</li><li>Systems integration and API development experience.</li><li>Prior experience in a holding company or multi-business environment.</li><li>Fluency in Arabic and English.</li></ul>Application Question(s):<ul><li>Which ERP systems have you developed on? (Odoo / SAP / Dynamics / NetSuite / other)</li><li>Have you built or led an ERP project end-to-end?</li><li>Have you led or mentored a developer team before? &mdash; Yes/No</li></ul>Experience:<ul><li>ERP development: 4 years (Required)</li></ul>Pay: AED5,000.00 - AED9,000.00 per monthApplication Question(s):<ul><li>Which ERP systems have you developed on? (Odoo / SAP / Dynamics / NetSuite / other)</li><li>Have you built or led an ERP project end-to-end?</li><li>Have you led or mentored a developer team before? - Yes/No</li></ul>Experience:<ul><li>ERP Development: 4 years (Required)</li></ul>Work Location: Hybrid remote in Dubai (Dubai)

Senior ERP Engineer / ERP Technical Lead

The University of Manchester - Dubai

<div>
 
 
 Overall, Purpose of the Job
 
 
 
 The Institutional Data &amp; Regulatory Compliance Analyst is responsible for the administration, governance, quality, and integration of institutional data systems at UoM-Dubai. The role provides dedicated ownership of all regulatory data reporting requirements, including MoHESR and KHDA obligations, with particular focus on:
 
 
 &bull;&nbsp;&nbsp;HEDB/CHEDS dataset preparation, validation, and submission across all reporting cycles
 
 
 &bull;&nbsp;&nbsp;OBEF KPI data collection, calculation, evidence compilation, and submission across all 24 KPIs spanning Employment Outcomes, Learning Outcomes, Industry Collaboration, Research Outcomes, Reputation, and Community Engagement
 
 
 &bull;&nbsp;&nbsp;&nbsp;API integration readiness for the transition from portal-based HEDB submission to MoHESR's master API framework
 
 
 &bull;&nbsp;&nbsp;&nbsp;Effective administration of Educore and related institutional applications
 
 
 &bull;&nbsp;&nbsp;&nbsp;Supporting institutional compliance with CAA, MoHESR, and KHDA requirements
 
 
 &nbsp;
 
 
 This role is critical as MoHESR transitions to an outcome-based evaluation model assessed across 24 KPIs, requiring sustained, specialist data ownership that cannot be absorbed within existing operational roles.
 
 
 
 
 
 Key Responsibilities
 
 <ol>
 <li>
 
 OBEF Data Management and KPI Reporting
 
 </li>
 </ol>
 
 The postholder will take lead responsibility for OBEF data collection, calculation, and submission across all six pillars:
 
 
 &bull;&nbsp;&nbsp;Coordinate and validate data for all 24 OBEF KPIs at institutional and programmatic level, including Employment Rate, Retention Rate (FYR), Assessment Quality Review, Work Placement Participation, Joint Industry Courses, Publication Ratio, International Accreditation Status, and Community Engagement indicators
 
 
 &bull;&nbsp;Manage rolling calculation cycles &mdash; 3-year rolling averages for employment and retention KPIs; 5-year averages for research and collaboration KPIs; cumulative totals for IP and research impact
 
 
 &bull;&nbsp;Coordinate graduate employment tracking processes including the 12-month post-graduation employment survey, internship-to-employment conversion rates, and relevant job classification in line with MoHESR definitions
 
 
 &bull; Maintain KPI evidence packages including employer feedback forms, work placement completion records, micro credential and professional license registers, student satisfaction data, and industry contribution records
 
 
 &bull; Prepare OBEF scorecard submissions and support institutional and programmatic performance monitoring against OBEF thresholds
 
 
 &bull;&nbsp;Liaise with academic and professional services teams to collect, validate, and reconcile OBEF data inputs across faculties and support functions
 
 
 
 
 
 
 2.HEDB / CHEDS Regulatory Reporting
 
 
 
 
 &bull;
 
 Coordinate the preparation, validation, and submission of all HEDB datasets required by MoHESR across reporting cycles, including student enrolment, academic outcomes, graduation, and research data
 
 
 &bull;&nbsp;Manage CHEDS-to-HEDB transition workflows and ensure submission readiness in line with MoHESR's evolving portal requirements
 
 
 &bull;&nbsp;Validate HEDB datasets for completeness, accuracy, and consistency with institutional records held in Educore and related systems
 
 
 &bull;&nbsp;Maintain submission logs, data quality records, and audit trails for all HEDB reporting cycles
 
 
 &bull;&nbsp;Monitor MoHESR portal updates, deadline schedules, and data specification changes and ensure timely institutional responses
 
 
 &bull;&nbsp;Support CAA reporting obligations that draw on overlapping HEDB data sources
 
 
 
 
 
 
 3.Application and System Administration
 
 
 
 &bull;&nbsp;Manage the day-to-day administration of Educore and other relevant institutional applications, including user access, role-based permissions, and validation rules
 
 
 &bull;&nbsp;Monitor system functionality, data integrity, and operational performance across institutional data platforms
 
 
 &bull;&nbsp;Coordinate system updates, testing, enhancements, and release of new functionality with vendors and internal stakeholders
 
 
 &bull;&nbsp;Support issue resolution and escalation relating to application performance and data system functionality
 
 
 &bull;&nbsp;&nbsp;Maintain Educore data configurations to support OBEF and HEDB data extraction workflows
 
 
 &nbsp;
 
 
 
 4.API Integration and Technical Readiness
 
 &nbsp;
 
 
 &nbsp;&bull;&nbsp;Lead institutional readiness for MoHESR's transition from HEDB portal submission to master API-based data exchange, coordinating endpoint mapping, testing, and implementation activities
 
 
 &bull;&nbsp;Support KHDA API integration requirements, including technical coordination, data mapping, and post-implementation monitoring
 
 
 &bull;&nbsp;Liaise with Home Campus IT, MoHESR technical teams, KHDA API teams, and Educore to ensure system-to-system data exchange is accurate, secure, and compliant
 
 
 &bull;&nbsp;Document institutional data architecture, API workflows, system interfaces, and integration arrangements
 
 
 &bull;&nbsp;&nbsp;Support pilot testing, rollout, and post-implementation monitoring of new integrations
 
 
 
 
 
 
 5.Data Quality, Validation, and Reconciliation
 
 
 
 &bull;&nbsp;Carry out data validation, reconciliation, and quality assurance checks across Educore, HEDB, OBEF datasets, and supporting evidence registers
 
 
 &bull;&nbsp;Identify data gaps, inconsistencies, and quality issues and coordinate corrective actions with relevant teams
 
 
 &bull;&nbsp;Maintain data quality logs, issue registers, and improvement action records
 
 
 &bull;&nbsp;Support standardization of reporting processes to reduce reliance on manual workarounds and ad hoc data extractions
 
 
 &bull;&nbsp;Develop and maintain data dictionaries, reporting logic documentation, and KPI calculation guides aligned to MoHESR OBEF definitions
 
 
 
 
 
 
 6.Stakeholder Liaison and Regulatory Coordination
 
 
 
 &bull;&nbsp;Act as the primary operational point of contact for data systems, OBEF reporting, HEDB submissions, and API integration matters
 
 
 &bull;&nbsp;Liaise with MoHESR data and technical teams, KHDA regulatory and API teams, CAA, Educore, and Home Campus IT
 
 
 &bull;&nbsp;Coordinate technical clarifications, regulatory follow-up actions, and issue resolution with external stakeholders in a timely and professional manner
 
 
 &bull;&nbsp;Ensure institutional responses to regulators and system partners are accurate, consistent, and properly documented
 
 
 
 
 
 
 7.Documentation, Audit, and Compliance Support
 
 
 
 &bull;&nbsp;Maintain up-to-date SOPs, user guides, OBEF evidence registers, HEDB submission records, integration documentation, and system administration logs
 
 
 &bull;&nbsp;Support audit readiness by ensuring availability of records, evidence trails, and compliance documentation for MoHESR, KHDA, and CAA
 
 
 &bull;&nbsp;Contribute to inspection preparation by providing clear evidence of data governance, KPI validation controls, reporting practices, and system management
 
 
 &bull;&nbsp;Support the implementation of secure and compliant data handling practices in line with institutional and Home Campus requirements
 
 
 
 
 
 
 Role Specification
 
 
 
 &nbsp;
 
 Essential Qualifications
 
 
 
 &bull;&nbsp;Bachelor&rsquo;s degree in information systems, Data Management, Computer Science, Business Information Systems, or a related field
 
 
 
 
 
 
 Essential Knowledge and Experience
 
 
 
 &bull;&nbsp;Experience administering institutional applications, databases, or student information systems
 
 
 &bull;&nbsp;Experience in data reporting, validation, reconciliation, and quality assurance
 
 
 &bull;&nbsp;Experience working with complex datasets, multi-cycle reporting requirements, and cross-functional stakeholders
 
 
 &bull;&nbsp;Experience coordinating with internal and external technical teams, vendors, or service providers
 
 
 &bull;&nbsp;Understanding of system integrations, APIs, and data workflows
 
 
 &bull;&nbsp;Experience maintaining system documentation, audit trails, and operational records
 
 
 &bull;&nbsp;Strong working knowledge of Excel and data reporting tools
 
 
 
 
 
 
 Desirable Knowledge and Experience
 
 
 
 &bull;&nbsp;Experience within UAE higher education or another regulated sector
 
 
 &bull;&nbsp;Familiarity with MoHESR regulatory frameworks, including OBEF (24-KPI framework), HEDB/CHEDS submission processes, and CAA reporting requirements
 
 
 &bull;&nbsp;Understanding of OBEF KPI definitions, data sources, calculation methodologies, and evidence requirements across all six pillars (Employment, Learning, Industry Collaboration, Research, Reputation, Community Engagement)
 
 
 &bull;&nbsp;Familiarity with KHDA regulatory reporting and API integration frameworks
 
 
 &bull;&nbsp;Experience working with dashboard reporting, compliance monitoring, or institutional data governance frameworks
 
 
 &bull;&nbsp;Experience supporting role-based access controls, Row-Level Security, or similar access management arrangements
 
 
 &bull;&nbsp;Familiarity with Educore or comparable student records and compliance platforms
 
 
 &bull;&nbsp;Understanding of MoHESR's transition from portal-based HEDB submission to master API integration
 
 
 
 
 
 
 Skills and Competencies
 
 
 
 &bull;&nbsp;Strong analytical and problem-solving skills with the ability to interpret complex regulatory data requirements
 
 
 &bull; High attention to detail and accuracy in data validation and reporting
 
 
 &bull;&nbsp;Ability to manage multiple reporting cycles, deadlines, and priorities simultaneously
 
 
 &bull;&nbsp;Strong communication and stakeholder management skills across operational, technical, and regulatory functions
 
 
 &bull;&nbsp;Ability to translate technical data issues into clear operational and regulatory language
 
 
 &bull;&nbsp;Strong organizational skills and ability to maintain accurate records, evidence registers, and documentation
 
 
 &bull;&nbsp;Professional judgement, discretion, and accountability in handling institutional data
 
 
 
 
 
 
 Key Regulatory Context
 
 
 rameworkelevance to This Role
 
 
 
 
 OBEF (MoHESR)
 
 
 
 24 KPIs across 6 pillars. Institutional and programmatic scoring. Rolling 3- and 5-year calculations. Transitioning to master API submission.
 
 
 
 HEDB / CHEDS
 
 
 
 MoHESR's Higher Education Database. Multi-cycle student data submissions covering enrolment, outcomes, and graduation. Feeds directly into OBEF KPI calculations.
 
 
 
 KHDA
 
 
 
 Dubai regulator. API integration and institutional dashboard reporting. Requires dedicated technical and data liaison.
 
 
 
 CAA
 
 
 
 Commission for Academic Accreditation. Accreditation and quality reporting that draws on overlapping OBEF and HEDB data sources.
 
 
 
 Master API
 
 
 
 MoHESR's long-term data submission infrastructure replacing HEDB portal and CAA manual submissions. Requires institutional API readiness and integration coordination.
 
</div>

Institutional Data Regulatory Compliance Analyst

Boundless

<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

RoboHub.ae

<div>
 <li>
 Design and build SDKs from scratch for a range of IoT devices, spanning simple consumer hardware to complex multi-sensor devices
 
 </li>
 <li>
 Define SDK architecture, APIs, and developer interfaces that are clean, consistent, and adaptable across different device types and complexity levels
 
 </li>
 <li>
 Write well-structured, documented, and maintainable code across relevant languages (Python, Java, C++, JavaScript, or similar)
 
 </li>
 <li>
 Develop sample applications, code examples, and developer documentation to support SDK adoption and ease of integration
 
 </li>
 <li>
 Test and validate SDK performance, reliability, and compatibility across different devices, environments, and platforms
 
 </li>
 <li>
 Work closely with hardware and firmware teams to understand device capabilities, sensor specifications, communication protocols, and data structures &mdash; and translate that understanding into clean, functional SDK code
 
 </li>
 <li>
 Maintain and version SDK releases, managing updates and backwards compatibility as devices and product lines evolve
 
 
 
 
 </li>
 Requirements
 
 
 <li>
 Proven experience building SDKs or developer libraries from scratch across varied device types
 
 </li>
 <li>
 Strong proficiency in one or more of: Python, C++, Java, or JavaScript
 
 </li>
 <li>
 Solid understanding of IoT communication protocols such as MQTT, WebSocket, BLE, Serial, I2C, or REST
 
 </li>
 <li>
 Experience reading and interpreting sensor datasheets and hardware documentation to inform SDK design
 
 </li>
 <li>
 Experience working across a range of hardware complexity levels, from simple single-function devices to multi-sensor systems
 
 </li>
 <li>
 Ability to write clear, thorough developer documentation and practical code samples
 
 </li>
 <li>
 Strong problem-solving skills with a low-level understanding of how hardware and software communicate
 
 </li>
 <li>
 Good communication skills in English
 
 
 
 
 </li>
</div>

SDK Developer

Explore 43+ Api developer in Dubai this July. Find roles across top companies and apply now to boost your career.