devops engineer

infrastructure engineer

senior data engineer

ai engineer

applied ai engineer

data engineer python microservices

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

Dicetek LLC

<div>
 Role Overview
 
 
 We are seeking a highly skilled and motivated Data Engineer with 5&ndash;7 years of experience to design, build, and optimize scalable data pipelines and platforms. The ideal candidate will have strong expertise in SQL, Databricks, Confluent (Kafka), Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS), with a solid understanding of banking domain processes and regulatory considerations. This role involves working closely with cross-functional teams to enable data-driven decision-making across critical banking functions.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain robust, scalable data pipelines using Azure Data Factory (ADF) and Databricks
 </li>
 <li>
 Implement batch and real-time data ingestion frameworks leveraging Confluent Kafka
 </li>
 <li>
 Build and optimize data models, transformations, and ETL/ELT pipelines using SQL and Spark
 </li>
 <li>
 Develop and manage data storage solutions in Azure Data Lake Storage (ADLS)
 </li>
 <li>
 Ensure high data quality, integrity, and governance standards
 </li>
 <li>
 Support data integration across systems including core banking and CRM
 </li>
 <li>
 Optimize performance of large-scale datasets
 </li>
 <li>
 Collaborate with stakeholders to translate requirements into solutions
 </li>
 <li>
 Ensure compliance with banking regulations and data privacy
 </li>
 <li>
 Troubleshoot production issues
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Strong expertise in SQL (complex queries, tuning, modeling)
 </li>
 <li>
 Hands-on experience with Databricks, Spark, PySpark
 </li>
 <li>
 Experience with Confluent Kafka and event-driven architecture
 </li>
 <li>
 Experience with Azure Data Factory (ADF)
 </li>
 <li>
 Experience with Azure Data Lake Storage (ADLS)
 </li>
 <li>
 Understanding of data warehousing concepts
 </li>
 <li>
 Familiarity with CI/CD and DevOps for data platforms
 
 
 </li>
 </ul>
 
 Domain Knowledge (Preferred)
 
 
 
 <ul>
 <li>
 Experience in banking or financial services
 </li>
 <li>
 Understanding of core banking systems
 </li>
 <li>
 Knowledge of payments, lending, wealth management
 </li>
 <li>
 Awareness of regulatory frameworks (KYC, AML)
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Excellent communication and stakeholder engagement
 </li>
 <li>
 Ability to work in fast-paced environments
 </li>
 <li>
 Strong ownership and collaboration mindset
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in relevant field
 </li>
 <li>
 Azure/Data engineering certifications preferred
 
 
 </li>
 </ul>
 Good to Have
 
 
 <ul>
 <li>
 Experience with Python or Scala
 </li>
 <li>
 Exposure to data governance tools
 </li>
 <li>
 Knowledge of APIs and microservices
 </li>
 <li>
 Experience with BI tools like Power BI
 </li>
 </ul>
</div>

Data Engineer

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)

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

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 Job Description
 
 
 
 
 Overview
 
 
 
 
 About Presight
 
 
 
 Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 
 
 
 The Opportunity
 
 
 
 Presight is looking for an astute, proficient and qualified Senior Data Engineer to assess, analyze and work with data concepts, use-cases &amp; complex new data sources to provide business insights to customers and support the implementation &amp; integration of the data sources into the Presight platform.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Solve challenging problems, using python coding skills.
 </li>
 <li>
 Design, build and launch new data extraction, transformation &amp; loading processes in production.
 </li>
 <li>
 Web crawling, data cleaning, data annotation, data ingestion and data processing.
 </li>
 <li>
 Reading and collating complex data sets.
 </li>
 <li>
 Creating and maintaining data pipelines.
 </li>
 <li>
 Continual focus on process improvement to drive efficiency and productivity within the team.
 </li>
 <li>
 Use of Python, SQL, ES, Shell etc. to build the infrastructure required for optimal extraction, transformation, and loading of data.
 </li>
 <li>
 Provide insights into key business performance metrics by building analytical tools that utilize the data pipeline.
 </li>
 <li>
 Support the wider business with their data needs on an ad hoc basis.
 </li>
 <li>
 Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer engineering, Computer Science, or Electrical Engineering and Computer Sciences.
 </li>
 <li>
 6+ years of programming experience, solid coding skills in Python, Shell, and Java
 </li>
 <li>
 Good corporate capacity, good communication skills.
 </li>
 <li>
 Experience with Web crawling, cleaning.
 </li>
 <li>
 Experience with solution architecture, data ingestion, query optimization, data segregation, ETL, ELT, AWS, EC2, S3, SQS, lambda, Elastic Search, Redshift, CI/CD frameworks and workflows.
 </li>
 <li>
 Working knowledge of data platform concepts - data lake, data warehouse, ETL, big data processing (designing and supporting variety/velocity/volume), real time processing architecture for data platforms, scheduling and monitoring of ETL/ELT jobs
 </li>
 <li>
 PostgreSQL and programming (preferably Java, Python), proficiency in understanding data, entity relationships, structured &amp; unstructured data, SQL and NoSQL databases
 </li>
 <li>
 Knowledge of best practice in optimizing columnar and distributed data processing system and infrastructure
 </li>
 <li>
 Experienced in designing and implementing dimensional modelling
 </li>
 <li>
 Knowledge of machine learning and data mining techniques in one or more areas of statistical modelling, text mining and information retrieval.
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.presight.ai Job Function: Data Science &amp; AI Company Industry/
 
 
 Sector: Other
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
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</div>

Senior Data Engineer

Payfuture

<div>
 
 
 About the Role
 
 
 
 We are looking for a Senior Full Stack Engineer with strong backend expertise and solid frontend capabilities to help build and scale our payment platform.
 
 
 This role is approximately 70% backend and 30% frontend, making it ideal for engineers who enjoy designing scalable systems, APIs, and services while also contributing to modern, user-centric web applications.
 
 
 
 
 
 You will work within cross-functional agile teams alongside Product Managers, Designers, Architects, and Engineers to deliver secure, scalable, and high-performance solutions that power payment experiences for merchants globally.
 
 
 As a Senior Full Stack Engineer, you will be responsible for designing, developing, testing, and maintaining both backend services and frontend applications while ensuring adherence to engineering standards, architectural principles, and best practices.
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Backend
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable backend services using C# and .NET Core
 </li>
 <li>
 Build and enhance RESTful APIs and microservices supporting payment processing and merchant platforms
 </li>
 <li>
 Apply SOLID principles, design patterns, and clean architecture practices
 </li>
 <li>
 Write clean, maintainable, and testable code with comprehensive unit and integration tests
 </li>
 <li>
 Optimize application performance, reliability, and scalability
 </li>
 <li>
 Participate in technical design discussions and architectural decisions
 </li>
 <li>
 Collaborate with Technical Project Managers on planning, estimation, and risk management
 </li>
 <li>
 Support CI/CD pipelines, build automation, and deployment processes
 </li>
 <li>
 Troubleshoot and resolve complex production issues
 </li>
 </ul>
 
 
 
 
 
 Frontend
 
 
 <ul>
 <li>
 Develop responsive, secure, and high-performance web applications using React (preferred), Angular, or modern JavaScript frameworks
 </li>
 <li>
 Collaborate closely with Product and Design teams to deliver intuitive user experiences
 </li>
 <li>
 Build reusable UI components and contribute to frontend architecture and design systems
 </li>
 <li>
 Integrate frontend applications with backend APIs and real-time transaction data
 </li>
 <li>
 Optimize applications for usability, accessibility, and performance across devices
 </li>
 <li>
 Participate in code reviews and drive frontend engineering best practices
 </li>
 </ul>
 
 
 
 
 
 Team &amp; Delivery
 
 
 <ul>
 <li>
 Participate in Agile ceremonies including sprint planning, standups, demos, and retrospectives
 </li>
 <li>
 Contribute to technical documentation and engineering standards
 </li>
 <li>
 Collaborate effectively with cross-functional teams across multiple locations
 </li>
 <li>
 Mentor junior engineers and promote engineering excellence across the team
 </li>
 <li>
 Continuously identify opportunities to simplify systems, improve quality, and accelerate delivery
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 6+ years of professional software engineering experience
 </li>
 <li>
 Strong hands-on experience with C# and .NET Core
 </li>
 <li>
 Experience designing and building REST APIs and distributed systems
 </li>
 <li>
 Strong understanding of SOLID principles, design patterns, and software architecture
 </li>
 <li>
 Experience with SQL Server and relational database design
 </li>
 <li>
 Strong proficiency in JavaScript/TypeScript, HTML5, and CSS3
 </li>
 <li>
 Commercial experience with React (preferred) or Angular
 </li>
 <li>
 Experience integrating frontend applications with backend APIs
 </li>
 <li>
 Experience with Git, BitBucket, JIRA, and Agile delivery methodologies
 </li>
 <li>
 Strong debugging, analytical, and problem-solving skills
 </li>
 <li>
 Experience with automated testing and TDD practices
 </li>
 <li>
 Bachelor's degree in Computer Science or equivalent practical experience
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience within FinTech, payments, banking, or financial services
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Knowledge of WebSockets, GraphQL, or micro-frontend architectures
 </li>
 <li>
 Experience with Redux or other state management libraries
 </li>
 <li>
 Familiarity with Material UI, Tailwind CSS, or design systems
 </li>
 <li>
 Experience working in high-volume transactional environments
 </li>
 <li>
 Knowledge of CI/CD, containerization, and DevOps practices
 </li>
 </ul>
 
 
</div>

Full Stack Engineer

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; AI Engineer
 
 
 
 Company
 
 &ndash; TCS (MEA)
 
 
 
 Location
 
 &ndash; Dubai
 
 
 
 Job type
 
 &ndash; Full time
 
 
 
 
 
 
 About Us:
 
 
 
 Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world&rsquo;s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile&trade; delivery model, recognized as a benchmark of excellence in software development.
 
 
 A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world&rsquo;s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 Key Accountabilities:
 
 
 <ul>
 <li>
 
 AI Solution Design &amp; Development:
 
 </li>
 <li>
 Design, build, and deploy AI-powered applications using Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services (Speech, Vision, Language), Azure AI Search, Azure Functions, and Azure Databricks.
 </li>
 <li>
 
 LLM Integration &amp; Generative AI:
 
 </li>
 <li>
 Develop and integrate Large Language Model (LLM) solutions using Azure OpenAI endpoints (GPT-4.1, GPT-4o, GPT-4o-mini) routed through FAB's centralized AI Hub gateway for governance, observability, and capacity management. Build enterprise use cases such as knowledge search, document intelligence, content summarization, call analytics, sentiment analysis, and workflow automation.
 </li>
 <li>
 
 Python Engineering &amp; Backend Development:
 
 </li>
 <li>
 Write clean, modular, and production-grade Python code for AI/ML model development, API integrations, data processing pipelines, backend services, and automation workflows using frameworks such as LangChain, LlamaIndex, Semantic Kernel, LangGraph, and FastAPI.
 </li>
 <li>
 
 RAG &amp; Semantic Retrieval:
 
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector search, semantic retrieval architectures, prompt engineering, and evaluation techniques for enterprise knowledge mining and document intelligence.
 </li>
 <li>
 
 Agentic AI Development:
 
 </li>
 <li>
 Design and develop intelligent agentic AI systems capable of planning, reasoning, tool execution, and orchestration across enterprise systems using FAB's GERNAS OS platform and Agent Development Kit (ADK) in a secure and governed manner.
 </li>
 <li>
 
 Model Evaluation &amp; Responsible AI:
 
 </li>
 <li>
 Implement model evaluation metrics for accuracy, hallucination detection, bias, latency, and throughput in alignment with FAB's Responsible AI framework. Ensure AI solutions comply with FAB's security, data privacy, model governance, and regulatory requirements, including controls for accuracy, hallucination, bias, latency, and resilience.
 </li>
 <li>
 
 Deployment &amp; Production Operations:
 
 </li>
 <li>
 Deploy, monitor, and optimize AI solutions in production environments using CI/CD practices, containerization, observability, logging, performance monitoring, and cost optimization techniques.
 </li>
 <li>
 
 Collaboration &amp; Stakeholder Engagement:
 
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 Collaborate with data scientists, platform engineers, DevOps/MLOps engineers, business analysts, and product teams to convert business requirements into scalable AI solutions.
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 Innovation &amp; Continuous Learning:
 
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 Continuously evaluate emerging Azure AI, Generative AI, and Agentic AI capabilities and recommend practical adoption opportunities aligned with FAB's AI strategy. Stay abreast of state-of-the-art developments in generative AI and agentic architectures.
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 </ul>
 
 
 
 
 
 TECHNICAL SKILLS: minimum 3-4 yrs of working experience mandatory
 
 
 
 
 Azure AI Services:
 
 Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks.
 
 
 
 Python Programming:
 
 Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI).
 
 
 
 LLM &amp; Generative AI:
 
 Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniques.
 
 
 
 ML Libraries &amp; Frameworks:
 
 Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and NLP libraries (spaCy, NLTK).
 
 
 
 Vector Databases:
 
 Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinecone.
 
 
 
 DevOps/MLOps:
 
 Hands-on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insights.
 
 
 
 Cloud Security &amp; Integration:
 
 Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration patterns.
 
 
 
 AI Ethics &amp; Governance:
 
 Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI systems.
 
 
 
 
 
 
 KNOWLEDGE, SKILLS, &amp; EXPERIENCE
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or related field; Master's degree is preferred. Microsoft Certified: Azure AI Engineer Associate (AI-102) certification is highly preferred.
 
 
 
 
 Minimum Experience:
 
 
 
 
 3+ years of hands-on experience in designing, developing, and deploying AI/ML or Generative AI solutions in production environments.
 
 
 Mandatory hands-on experience with Microsoft Azure AI Services.
 
 
 Experience working with large-scale datasets and real-time enterprise data.
 
 
 Experience in financial services, banking, risk, compliance, customer service, or regulated enterprise environments is an advantage.
 
 
 
 
 Knowledge and Skills:
 
 
 
 
 
 Business Understanding:
 
 
 
 Strong understanding of business processes and the ability to identify opportunities for AI-driven optimization and automation across banking domains.
 
 
 
 Analytical &amp; Problem-Solving:
 
 
 
 Excellent analytical, problem-solving, debugging, and performance optimization skills with the ability to troubleshoot AI applications in production and translate complex business problems into AI solutions.
 
 
 
 Communication Skills:
 
 
 
 Strong verbal and written communication skills, capable of explaining complex AI concepts to both technical and non-technical stakeholders.
 
 
 
 Collaboration:
 
 
 
 Proven ability to work effectively in cross-functional teams, collaborating with data scientists, platform engineers, DevOps engineers, business analysts, and product teams.
 
 
 
 Responsible AI Mindset:
 
 
 
 Understanding of AI governance, model risk, data privacy, security, and compliance requirements in a regulated banking environment.
 
 
 
 Production Engineering:
 
 
 
 Ability to build, deploy, monitor, and optimize production-grade AI systems with attention to reliability, scalability, cost, and operational excellence.
 
 
 
 Adaptability &amp; Learning:
 
 
 
 Willingness to stay updated on the latest AI technologies, agentic frameworks, and cloud services, and the ability to apply them to solve evolving business challenges.
 
 
 Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.
 
 
 
 
 
 
 Application Deadline: 30- July -2026
 
 
 
 
 
 
 
 Privacy Note:
 
 
 
 https://www.tcs.com/connect-with-tcs/privacy-policy
 
</div>

AI Engineer

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