data engineer - python & microservices Jobs in Dubai

data engineer - python & microservices

senior python data engineer Jobs in Dubai

senior python data engineer

python developer

Unique Wholesale and Distributions Limited 

Position OverviewWe are seeking an experienced and innovative AI &amp; Python Developer to design, develop, implement, and maintain intelligent automation solutions with a strong focus on WhatsApp-based AI systems. The successful candidate will be responsible for building AI-powered virtual assistants, workflow automations, chatbot solutions, and business process integrations that enhance customer engagement, operational efficiency, and internal communications.The role requires strong Python development skills, experience with Large Language Models (LLMs), API integrations, database management, automation frameworks, and WhatsApp Business Platform development.Key ResponsibilitiesAI Development &amp; Automation<ul><li>Design, develop, and deploy AI-powered assistants and automation solutions.</li><li>Build conversational AI agents capable of handling customer service, sales, operations, and support functions.</li><li>Develop autonomous AI workflows capable of performing tasks with minimal human intervention.</li><li>Create AI-driven decision-making processes and automated response systems.</li><li>Integrate AI solutions with internal business applications and third-party platforms.</li></ul>WhatsApp AI Development<ul><li>Develop and maintain WhatsApp AI assistants using the WhatsApp Business API.</li><li>Build intelligent chatbots capable of:</li><li>Customer support automation</li><li>Lead qualification</li><li>Appointment scheduling</li><li>Order tracking</li><li>FAQ management</li><li>Employee support services</li><li>Implement automated workflows triggered by WhatsApp messages.</li><li>Configure message routing, escalation paths, and human handover functionality.</li><li>Develop multi-language support capabilities.</li><li>Monitor and optimize chatbot performance and customer experience.</li></ul>Python Development<ul><li>Develop scalable backend systems using Python.</li><li>Build REST APIs and microservices.</li><li>Create automation scripts for business processes and system integrations.</li><li>Develop data processing pipelines and AI workflow orchestration tools.</li><li>Write clean, maintainable, and well-documented code.</li><li>Conduct debugging, testing, and performance optimisation.</li></ul>AI Model Integration<ul><li>Integrate Large Language Models (LLMs) such as:</li><li>OpenAI GPT</li><li>Claude</li><li>Gemini</li><li>Other enterprise AI platforms</li><li>Develop Retrieval-Augmented Generation (RAG) solutions.</li><li>Implement vector databases and knowledge management systems.</li><li>Fine-tune prompts and AI workflows to improve response quality and reliability.</li></ul>Systems Integration<ul><li>Integrate AI solutions with:</li><li>CRM Systems</li><li>ERP Systems</li><li>Odoo</li><li>Microsoft 365</li><li>Google Workspace</li><li>Internal databases</li><li>Third-party APIs</li><li>Develop secure data exchange mechanisms between platforms.</li><li>Build event-driven automation workflows.</li></ul>Data &amp; Analytics<ul><li>Develop reporting dashboards for AI performance monitoring.</li><li>Analyse chatbot interactions and user engagement metrics.</li><li>Monitor AI accuracy and continuously improve performance.</li><li>Create automated reporting tools and business intelligence integrations.</li></ul>Security &amp; Compliance<ul><li>Ensure compliance with data privacy regulations and company policies.</li><li>Implement secure authentication and authorisation methods.</li><li>Maintain security best practices for API integrations and AI systems.</li><li>Ensure responsible AI usage and governance standards are maintained.</li></ul>Required Skills &amp; ExperienceTechnical Requirements<ul><li>Minimum 3+ years of Python development experience.</li><li>Strong experience with:</li><li>Python</li><li>FastAPI or Flask</li><li>REST API development</li><li>SQL and NoSQL databases</li><li>Git version control</li><li>Experience developing AI applications using:</li><li>OpenAI APIs</li><li>LangChain</li><li>LlamaIndex</li><li>Vector Databases</li><li>Experience with WhatsApp Business API implementation.</li><li>Experience integrating third-party systems and APIs.</li><li>Understanding of cloud platforms such as AWS, Azure, or Google Cloud.</li><li>Experience with Docker and deployment environments.</li></ul>AI &amp; Machine Learning<ul><li>Understanding of:</li><li>Natural Language Processing (NLP)</li><li>Prompt Engineering</li><li>Conversational AI</li><li>AI Agents</li><li>Workflow Automation</li><li>Knowledge Base Systems</li><li>Experience creating autonomous AI agents and task automation systems.</li></ul>Preferred Experience<ul><li>Odoo ERP development experience.</li><li>Experience with Twilio, Meta WhatsApp API, or similar messaging platforms.</li><li>Knowledge of RAG architecture and vector search technologies.</li><li>Experience with workflow automation platforms.</li><li>Understanding of business operations, logistics, warehouse management, or distribution systems.</li></ul>Key DeliverablesThe successful candidate will be expected to:<ul><li>Develop a fully functional WhatsApp AI Assistant.</li><li>Build automated customer support workflows.</li><li>Create AI-powered lead management systems.</li><li>Implement business process automation solutions.</li><li>Develop reporting and analytics dashboards.</li><li>Integrate AI assistants with internal company systems.</li><li>Continuously improve AI performance and user experience.</li></ul>Pay: AED5,000.00 - AED8,000.00 per monthApplication Question(s):<ul><li>this is a urgent requirement - are you available for immediate start?</li></ul>Work Location: In person

AI & Python Developer (WhatsApp AI Automation Specialist)

KN International Trading

Avantera Capital is an asset management firm specializing in algorithmic and automated trading across currencies, crypto, stocks, options, commodities, and indices. We build data-driven, AI-powered investment strategies, and engineering sits at the core of what we do.We're hiring a Full-Stack Python Developer for an on-site contract role in Dubai (2&ndash;3 days per week on-site). This is an hourly, ongoing engagement &mdash; ideal for a skilled freelancer. You'll help build and maintain the data and trading infrastructure behind our automated investment platform, spanning data pipelines, backend APIs, databases, and web applications.What you'll work on:- Maintain and improve Python data pipelines that collect market data and load it into PostgreSQL and AWS S3- Build and maintain backend services and REST APIs (Django, FastAPI) and internal dashboards (Streamlit)- Integrate brokerage and financial APIs (Schwab, IBKR), including authentication/token flows, using FIX and REST APIs- Administer Linux servers &mdash; managing services, scheduled jobs, deployments, and recovery- Configure and maintain Nginx, SSL, and service routing- Ensure reliable, secure handling of financial data across the stackRequirements: - You must hold a valid UAE freelance permit or have the right to work on-site- Strong Python and full-stack web development experience- Solid SQL and PostgreSQL skills- Hands-on experience with REST APIs (FIX is a strong plus)- AWS experience, especially S3- Linux server and database administration- Solid understanding of financial data processing and integrationPreferred:- Familiarity with AI coding tools (Claude, Codex)- Brokerage/financial API experience &mdash; Interactive Brokers (IBKR) and Charles Schwab- Django, FastAPI, or Streamlit- Nginx, DevOps, and data-pipeline/ETL experienceCompensation: AED 100&ndash;180 per hour, based on experience.You must be based in Dubai or able to be on-site 2&ndash;3 days per week.Pay: AED100.00 - AED180.00 per hourWork Location: In person

Full-Stack Developer (In Person)

GSSTech Group

<div>We are seeking an experienced Data Engineer with strong expertise in Python, Microservices Architecture, Data Transformation, and Backend Engineering to join our Data Engineering team. The ideal candidate will be responsible for designing and developing scalable backend services, data processing frameworks, RESTful APIs, and data transformation pipelines that support enterprise data-driven applications.
This role requires strong hands-on experience with Python-based web frameworks, database technologies, ETL pipelines, microservices, API security, and modern software engineering practices. Candidates should have experience building production-grade applications with a focus on scalability, reliability, security, and performance. 
Requirements 
Key Responsibilities<ul><li>Design, develop, and maintain scalable backend applications and web frameworks using Python.</li><li>Build robust RESTful APIs and microservices to serve enterprise datasets and business applications.</li><li>Develop and optimize data transformation pipelines to process, clean, enrich, and prepare data for analytics and business consumption.</li><li>Design and implement scalable data access layers integrating multiple relational and NoSQL databases.</li><li>Collaborate with frontend developers to integrate user-facing components with backend services.</li><li>Ensure applications are secure, highly available, performant, and maintainable.</li><li>Design and maintain database schemas and data models aligned with business requirements.</li><li>Implement ETL processes for extracting, transforming, and loading large-scale datasets.</li><li>Optimize database performance, query execution, and data retrieval mechanisms.</li><li>Troubleshoot production issues and implement scalable solutions for long-term platform stability.</li><li>Participate in code reviews, testing activities, technical design discussions, and engineering best practices.</li><li>Work closely with business stakeholders, architects, and engineering teams within Agile delivery environments.</li></ul>
Required Technical Skills
Python Development<ul><li>Strong hands-on experience in Core Python development.</li><li>Expertise in building backend services and APIs using Python.</li><li>Strong understanding of object-oriented programming principles and software design patterns.</li><li>Experience writing clean, reusable, maintainable, and production-quality code.</li></ul>
Web Frameworks &amp; API Development
Strong experience with one or more Python frameworks including:<ul><li>FastAPI</li><li>Flask</li><li>Django</li><li>Pyramid</li></ul>
Experience with:<ul><li>RESTful API design and development</li><li>API versioning and documentation</li><li>Routing and middleware implementation</li><li>Authentication and authorization</li><li>Framework testing and debugging</li></ul>
Microservices Architecture<ul><li>Strong experience designing and developing microservices-based applications.</li><li>Deep understanding of distributed systems architecture.</li><li>Experience building scalable and resilient service-oriented platforms.</li><li>Knowledge of service communication patterns and API orchestration.</li><li>Experience handling concurrent requests and high-volume transaction processing.</li></ul>
Asynchronous Programming<ul><li>Strong understanding of asyncio and asynchronous programming concepts.</li><li>Experience handling concurrent connections and non-blocking operations.</li><li>Knowledge of performance optimization for I/O-intensive applications.</li></ul>
Security &amp; API Protection<ul><li>Strong understanding of API and microservices security best practices.</li><li>Experience implementing:</li></ul><ul><li>
OAuth 2.0</li><li>
JWT Authentication</li><li>
API Gateway integrations</li><li>
Encryption and secure communication protocols 
<ul><li>Experience implementing authentication, authorization, and access control mechanisms.</li></ul></li></ul>
Database &amp; ORM Expertise<ul><li>Strong experience with relational and NoSQL databases.</li><li>Experience designing database schemas and optimizing database performance.</li><li>Strong proficiency with:</li></ul><ul><li>
SQL</li><li>
PostgreSQL</li><li>
MySQL</li><li>
MongoDB</li><li>
Redis</li></ul>
Hands-on experience with ORMs including:<ul><li>SQLAlchemy</li><li>Django ORM</li></ul>
Ability to:<ul><li>Define models</li><li>Perform CRUD operations</li><li>Write optimized queries</li><li>Handle transactions</li><li>Manage database migrations</li></ul>
Data Engineering &amp; Transformation<ul><li>Experience building and maintaining ETL pipelines.</li><li>Strong understanding of data transformation, enrichment, aggregation, and cleansing techniques.</li><li>Experience ensuring data quality, consistency, and integrity.</li><li>Ability to support analytical and data-driven applications through scalable processing frameworks.</li></ul>
DevOps &amp; CI/CD<ul><li>Experience building and maintaining CI/CD pipelines.</li><li>Experience deploying and supporting production-grade applications.</li><li>Understanding of infrastructure automation and modern software delivery practices.</li><li>Experience with release management and deployment workflows.</li></ul>
Big Data &amp; Data Technologies
Exposure to technologies such as:<ul><li>Hadoop</li><li>Apache Spark</li><li>Apache Kafka</li></ul>
Understanding of:<ul><li>Data Warehousing concepts</li><li>Distributed data processing</li><li>Enterprise data architectures</li></ul>
Version Control &amp; Development Practices<ul><li>Strong experience with Git version control.</li><li>Experience with:</li></ul><ul><li>
Branching strategies</li><li>
Code reviews</li><li>
Pull Requests</li><li>
Merge conflict resolution</li><li>
Collaborative development workflows</li></ul>
Testing &amp; Debugging<ul><li>Experience with:</li></ul><ul><li>
Unit Testing</li><li>
Integration Testing</li><li>
Logging</li><li>
Monitoring</li><li>
Performance Troubleshooting</li><li>
Production Support</li></ul>
Nice to Have<ul><li>Experience with AWS, Azure, or GCP.</li><li>Experience with Docker and Kubernetes.</li><li>Exposure to cloud-native architectures.</li><li>Knowledge of data governance, compliance, privacy, and security standards.</li><li>Experience supporting large-scale enterprise data platforms.</li></ul>
Required Competencies<ul><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder management capabilities.</li><li>Strong collaboration and teamwork skills.</li><li>Ability to work effectively in Agile/Scrum environments.</li><li>Strong ownership mindset with attention to detail.</li><li>Ability to document solutions and communicate technical concepts clearly.</li></ul>
Education
Bachelor&rsquo;s Degree in Computer Science, Information Technology, Engineering, Data Engineering, or a related field.</div>

Data Engineer - Python & Microservices

amana

<div>
 
 
 Role Summary:
 
 
 
 
 
 
 We are seeking a highly skilled Senior Python Data Engineer to join our Data &amp; Analytics team. This role is focused on designing, building, and maintaining enterprise-grade data pipelines, integrations, data warehouse solutions, and reporting datasets that support operational reporting, business intelligence, analytics, and decision-making across the organization. The ideal candidate combines strong software engineering practices with deep data engineering expertise and is comfortable working across the full data lifecycle, from source system integration and ETL development to data warehousing and reporting enablement
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Data Engineering &amp; Integration:
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable ETL/ELT pipelines using Python.
 </li>
 <li>
 Build integrations with a variety of data sources including APIs, relational databases, flat files, and third-party systems.
 </li>
 <li>
 Implement data extraction, transformation, validation, and loading processes. Develop incremental loading and change-tracking mechanisms.
 </li>
 <li>
 Troubleshoot, optimize, and enhance existing data pipelines.
 </li>
 </ul>
 
 
 
 
 
 Data Platform Development
 
 :
 
 <ul>
 <li>
 Develop reusable and maintainable data processing components.
 </li>
 <li>
 Build and enhance internal data integration and orchestration capabilities.
 </li>
 <li>
 Participate in solution design, architecture reviews, and technical discussions.
 </li>
 <li>
 Produce well-structured, testable, and documented code. Contribute to engineering standards and best practices.
 </li>
 </ul>
 
 
 
 
 
 Workflow Orchestration
 
 
 <ul>
 <li>
 Design and implement Apache Airflow DAGs.
 </li>
 <li>
 Build reliable workflow orchestration and scheduling processes.
 </li>
 <li>
 Monitor pipeline execution and resolve operational issues.
 </li>
 <li>
 Improve observability, reliability, and performance of data workflows.
 </li>
 </ul>
 
 
 
 
 
 Data Warehousing &amp; Reporting
 
 
 <ul>
 <li>
 Design, build, and maintain data warehouse structures that support reporting and analytics requirements.
 </li>
 <li>
 Develop reporting-ready datasets and data models.
 </li>
 <li>
 Optimize SQL queries and warehouse performance.
 </li>
 <li>
 Support the delivery of operational, management, and analytical reporting requirements.
 </li>
 <li>
 Collaborate with business stakeholders, analysts, and reporting teams to ensure data accuracy and usability.
 </li>
 <li>
 Assist in troubleshooting reporting and data quality issues when required
 </li>
 </ul>
 
 
 
 
 
 Engineering Excellence
 
 
 <ul>
 <li>
 Build and maintain Docker images and containerized applications.
 </li>
 <li>
 Participate in code reviews and technical knowledge sharing.
 </li>
 <li>
 Develop unit tests and integration tests.
 </li>
 <li>
 Utilize Git-based development workflows and version control best practices.
 </li>
 <li>
 Support CI/CD and deployment processes where required
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 - Has 5+ years of experience, good understanding of Python, Apache Airflow &ndash; Power BI &ndash; APIs (Rest API) and database
 
 
 - Candidates should already be based in the UAE
 
 
 - Strong influencing, leadership, and communication skills with the ability to operate effectively across both technical and non-technical audiences
 
 
 - Excellent attention to detail, problem-solving, and analytical skills.
 
 
 - Strong communication skills and ability to work effectively in a remote environment.
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 Good understanding of the stock market, database systems with an understanding of trading systems, MT Platforms (MT4, MT5) and accounts.
 
</div>

Senior Python Data Engineer

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

ALBA CORP

<div>
 We are looking for an
 
 AI Engineer
 
 to design, build, and own production-grade systems powered by modern AI development tools, automation platforms, databases, and intelligent agents.
 
 
 This role is suited to an experienced, hands-on developer who thinks in databases, APIs, workflows, and scalable system architecture&mdash;not isolated prototypes. You should be comfortable moving quickly with tools such as Claude Code and Codex while maintaining reliability, security, and clean technical standards. If you have shipped systems that teams or customers actively depend on, keep reading.
 
 
 
 Key Responsibilities
 
 
 
 
 AI Systems &amp; Database Architecture
 
 
 
 <ul>
 <li>
 Design, implement, and maintain scalable database architectures using Supabase and MongoDB.
 </li>
 <li>
 Deploy and manage AI agents, including Openclaw, Hermes, and Cowork, across multiple operational use cases.
 </li>
 <li>
 Build production-ready applications and internal systems using modern AI-assisted development workflows.
 </li>
 <li>
 Monitor system reliability, troubleshoot technical issues, and improve performance as usage grows.
 
 
 </li>
 </ul>
 
 Automation &amp; Systems Integration
 
 
 
 <ul>
 <li>
 Build, maintain, and scale workflow automations using n8n, Make, and Zapier.
 </li>
 <li>
 Integrate third-party APIs and connect systems across business functions from end to end.
 </li>
 <li>
 Develop reliable data flows between databases, AI agents, CRMs, ERPs, and external platforms.
 </li>
 <li>
 Create clear technical documentation for workflows, integrations, and system dependencies.
 
 
 </li>
 </ul>
 
 Business Platforms &amp; Technical Delivery
 
 
 
 <ul>
 <li>
 Customize and extend CRM and ERP platforms to support real operational requirements.
 </li>
 <li>
 Translate business challenges into practical, maintainable technical solutions.
 </li>
 <li>
 Collaborate with internal stakeholders to define requirements, test implementations, and deliver improvements.
 </li>
 <li>
 Take ownership of systems from initial architecture and development through deployment and ongoing support.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Several years of hands-on experience building and supporting production systems&mdash;not only demonstrations or prototypes.
 </li>
 <li>
 Proven experience creating workflow automations with n8n, Make, or Zapier.
 </li>
 <li>
 Strong proficiency with modern AI coding tools such as Claude Code and Codex.
 </li>
 <li>
 Solid database architecture experience using Supabase and MongoDB.
 </li>
 <li>
 Practical experience deploying AI agents such as Openclaw, Hermes, or Cowork.
 </li>
 <li>
 Strong API development and third-party integration capabilities.
 </li>
 <li>
 A portfolio of shipped systems that you can explain and demonstrate during the interview process.
 
 
 </li>
 </ul>
 Experience with
 
 Python, Odoo, ReactJS, Node.js, Vite, Tailwind CSS, or hands-on CRM and ERP customization
 
 will be an advantage.
 
 
 
 Salary &amp; Benefits
 
 
 
 <ul>
 <li>
 Competitive Salary: AED 6,000&ndash;8,000 per month, based on experience and demonstrated technical ability
 </li>
 <li>
 Work visa sponsorship
 </li>
 <li>
 Medical insurance
 </li>
 <li>
 30 days of paid annual leave
 </li>
 <li>
 Access to modern AI development tools and technical platforms
 </li>
 <li>
 Opportunities for technical training and continuous learning
 </li>
 <li>
 A fast-moving, collaborative environment with ownership of meaningful projects
 </li>
 <li>
 Company-provided equipment required for the role
 
 
 </li>
 </ul>
 
 Work Arrangement
 
 
 
 
 Type:
 
 Full-time, on-site position
 
 
 Remote or hybrid work is not available. Candidates must be based in or willing to relocate to the UAE.
 
 
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Build AI systems and automations that are used in real business operations.
 </li>
 <li>
 Work with modern AI agents, databases, development tools, and automation platforms.
 </li>
 <li>
 Own projects from architecture and development through deployment and optimization.
 </li>
 <li>
 Grow within a team that values technical initiative, rapid execution, and practical problem-solving.
 
 
 </li>
 </ul>
 
 Join us and code the future&mdash;apply now to make your mark.
 
</div>

AI Engineer (Vibe Coder)

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.
The Full Stack Developer builds the human-facing surfaces of the Agentic Workflow Automation (AWA) platform&mdash;specifically the Human-in-the-Loop (HITL) reviewer interface, the AgentOps operational dashboard, and internal AWA developer portals. Operating within the AI Centre of Excellence (AICoE) at a Band 7 / Mid-level capacity, this position works directly at the boundary between complex AI pipelines and end-users (including operations reviewers, business analysts, bank customers, and engineering teams). The role translates complex agent states, confidence scores, and exception data into high-performance, intuitive user interfaces that enable fast, informed human decisions.
Responsibilities<ul><li>
HITL Reviewer Interface: Design and build the operations reviewer queue interface, incorporating high-resolution native document image displays, extracted field overlays with per-field confidence indicators, clear exception reasoning, and optimized keyboard-shortcut workflows.</li><li>
AgentOps Dashboard: Build and maintain real-time operational dashboards that consume Azure Monitor metrics and Log Analytics data to track STP (Straight-Through Processing) rates, HITL rates, token consumption, and latency metrics (P50/P95/P99).</li><li>
System &amp; API Integration: Establish secure communication between AI core services and core banking apps via the AWA Conversation Orchestrator backend API. Connect applications to APIM-governed LLM endpoints and Orkes Conductor job status APIs.</li><li>
Internal Tooling &amp; Portals: Build and maintain the AWA Use Case Manifest authoring tool, the Prompt Management System (PMS) UI, and ground-truth annotation interfaces used by the operations team for test data preparation.</li><li>
Performance &amp; Accessibility Optimization: Ensure all web interfaces meet institutional accessibility standards, optimize application performance for lower-bandwidth branch locations, and implement graceful error handling for AI pipeline latency.</li><li>
Design System Maintenance: Build and maintain a unified, consistent AWA component library and design system across all interfaces, ensuring strict alignment with corporate brand guidelines.</li></ul> 

Requirements 
We need you to have:<ul><li> 
An advanced proficiency in building highly responsive web applications using React, TypeScript, and modern CSS frameworks.</li><li>
Mastery of complex asynchronous data flows and state synchronization using tools like Redux, Zustand, or React Query.</li><li>
A strong capability to build interactive, performance-optimized operational dashboards using charting libraries such as Recharts or D3.js.</li><li>
Be competency in implementing WebSockets or Server-Sent Events (SSE) for streaming updates and live data synchronization.</li><li>
The ability to design and consume structured REST APIs and construct Backend-for-Frontend (BFF) layers using Node.js or Python (FastAPI/Express).</li><li>
A minimum of 5 years of professional full-stack software development experience, with a clear focus on enterprise web applications.</li><li>
Hands-on experience integrating secure identity providers and authentication protocols, specifically OAuth2, OIDC, and Microsoft Entra ID.</li><li>
Practical experience working with Docker and deploying/managing frontend container workloads within Kubernetes environments (specifically Azure Kubernetes Service - AKS).</li><li>
Holder of a Bachelor's degree in Computer Science, Software Engineering, or an equivalent technical field.</li></ul>
It would also be great if you have:<ul><li>
Familiarity with React Native or native iOS/Android development to facilitate mobile banking application integrations.</li></ul><ul><li>
Experience developing complex overlay layers, drawing tools, and bounding-box annotations on high-resolution canvas scans.</li><li>
Knowledge of configuring Azure Static Web Apps, Azure Front Door, and Content Delivery Networks (CDNs).</li><li>
A practical understanding of rendering live LLM token streams smoothly within conversational or chat interfaces.</li><li>
A conceptual understanding of machine learning metrics, loss functions, and probability distributions to improve data visualization designs.</li></ul> 

Benefits 
The benefits you'll enjoy as part of this role include: 
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul> 
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients. 
 
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

Full Stack Developer

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