site engineer Jobs in United Arab Emirates

site engineer

sales engineer Jobs in United Arab Emirates

sales engineer

devops engineer Jobs in United Arab Emirates

devops engineer

full stack developer Jobs in United Arab Emirates

full stack developer

quality engineer Jobs in United Arab Emirates

quality engineer

software development

Speechify

<div><div>Mission</div>
<div>
The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies
</div>
<div>What You'll Do</div>
<div><ul><li>Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and &mdash; when needed &mdash; C++.</li>
<li>Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability.</li>
<li>Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities.</li>
<li>Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long-term roadmap for the Windows platform.</li>
<li>Take ownership of full lifecycle of features: conception design implementation testing release maintenance. Ensure quality, reliability, and consistency across releases.</li>
<li>Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems &mdash; and propose robust architectural or design solutions.</li>
</ul>
</div><div></div><div>An ideal candidate should have</div>

Required:
<ul>
<li>3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML &mdash; and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).</li>
<li>Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.</li>
<li>Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.</li>
<li>Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.</li>
<li>Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).</li>
<li>Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.</li>
<li>Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.</li>
<li>A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.</li>
</ul>
Preferred / Bonus:
<ul>
<li>Experience with writing automated tests for UI &mdash; unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.</li>
<li>Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).</li>
<li>Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.</li>
<li>Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.</li>
<li>Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.</li>
<li>Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.</li>
</ul>
What we offer
<ul>
<li>A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.</li>
<li>A collaborative, flat-structure engineering culture &mdash; you are not just a coder, but a builder and a decision-maker.</li>
<li>Opportunities to lead &mdash; mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).</li>
<li>Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.</li>
<li>A purpose-driven mission: building software that's reliable, accessible, and user-centered &mdash; making a real difference for people.
</li></ul>Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply. 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them!

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Senior Software Engineer, Windows/Desktop Applications - Abu Dhabi, United Arab Emirates

Virtusa

<div>
 Core Backend Engineering
 
 
 <ul>
 <li>
 Design and build production-grade microservices using Java 17+ and Spring Boot 3.x adhering to clean
 
 
 </li>
 </ul>
 code and SOLID principles
 
 
 <ul>
 <li>
 Own services end-to-end spec &rarr; design &rarr; implement &rarr; test &rarr; deploy &rarr; monitor &rarr; iterate &mdash; with no
 
 
 </li>
 </ul>
 hand-offs
 
 
 <ul>
 <li>
 Author OpenAPI 3.x specifications and Architecture Decision Records (ADRs) before writing code;
 
 
 </li>
 </ul>
 champion spec-driven development
 
 
 <ul>
 <li>
 Write comprehensive unit, integration, and contract tests using TDD discipline with &ge;80% meaningful
 
 
 </li>
 </ul>
 coverage
 
 
 <ul>
 <li>
 Design and manage event-driven architectures using Apache Kafka for asynchronous workflows, domain
 
 
 </li>
 </ul>
 events, and data streaming
 
 
 <ul>
 <li>
 Architect and deploy services on AWS (ECS/EKS, Lambda, RDS, S3, SQS/SNS, CloudWatch, IAM)
 
 
 </li>
 </ul>
 Core Backend (Non-Negotiable)
 
 
 Java 17+ &mdash; records, sealed classes, virtual threads / Project Loom
 
 
 <ul>
 <li>
 Spring Boot 3.x &mdash; Spring Security, Spring Data JPA/JDBC, Spring WebFlux, Spring Cloud
 </li>
 <li>
 Microservices architecture patterns API Gateway, Circuit Breaker (Resilience4j), Saga, CQRS, Outbox
 </li>
 <li>
 RESTful API design with OpenAPI 3.x specifications as source of truth
 </li>
 <li>
 10+ years of professional hands-on backend software engineering experience in production environments mandatory
 </li>
 <li>
 Demonstrated, verifiable enterprise-scale Agentic SDLC / AI-DLC implementation experience &mdash; mandatory
 </li>
 <li>
 Experience in banking, fintech, or a similarly regulated, high-compliance domain &mdash; strongly preferred
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field (or equivalent
 
 
 </li>
 </ul>
 professional experience)
 
 
 <ul>
 <li>
 AWS Certified Developer / Solutions Architect &mdash; a plus
 </li>
 <li>
 Proven track record of delivering complex distributed systems with high availability and measurable
 
 
 </li>
 </ul>
 performance outcomes
 
 
 NICE TO HAVE
 
 
 <ul>
 <li>
 Experience with open banking APIs, PSD2, or CBDC-related workloads
 </li>
 <li>
 Knowledge of AML, KYC, or fraud detection system design
 </li>
 <li>
 Contributions to open-source LLM tooling, MCP servers, or Agentic SDLC / AI-DLC frameworks
 </li>
 <li>
 Familiarity with CQRS + Event Sourcing patterns
 </li>
 <li>
 Experience with Flowable BPM/CMMN workflow automation in Spring Boot
 </li>
 </ul>
</div>

Senior Backend Engineer - Agentic SDLC / AI-Driven  Development Lifecycle (AI-DLC) Platform

Fecundity Technologies

Role Overview: The Senior AI Engineer leads the technical delivery of one or more AWA use cases end-to-end, from Agent Profile definition through to production UAT sign-off. You own the architectural decisions within your use case domain: agent graph topology, confidence calibration, HITL threshold negotiation with the business, and the regression testing regime. You mentor AI Engineers and are the primary escalation point for complex LangGraph, LLM, and evaluation challenges. You are expected to identify failure modes before they reach production and to drive the adoption of new AWA capabilities across the use case portfolio.Key Responsibilities<ul><li>Use case technical ownership: Own the technical delivery of one or more AWA use cases from discovery through production; define the Agent Profile, Use Case Manifest, Data Manifest, and Tool Authorisation Matrix for each use case.</li><li>Architecture and design: Design LangGraph agent graph topologies for complex multi-agent pipelines including Supervisor-Worker fan-out, parallel execution, state compression, and cross-document reconciliation (3-way match).</li><li>Confidence calibration and HITL thresholds: Lead the AI Metric Baselines calibration process: measure ECE, derive HITL routing thresholds empirically, present threshold recommendations to business and risk teams, and own the signed AI Metric Baselines table.</li><li>Test strategy ownership: Own and execute the full AWA IDP Test Strategy for your use cases: all four testing bands (Model/Prompt/Agent/Security, Adversarial, Integration, UAT) through to sign-off.</li><li>Agent Regression Testing: Maintain the Golden Dataset and Regression Dataset for your use cases; configure CI/CD regression pipeline gates; review regression results after every model or prompt change.</li><li>Mentoring and code review: Mentor AI Engineers; conduct substantive technical code reviews of agent graphs, prompts, and MCP tool implementations; maintain AWA coding standards.</li><li>Stakeholder engagement: Present model quality metrics, STP rates, and HITL rates to Ops leads and business owners; recommend threshold adjustments with data-backed rationale.</li><li>New capability adoption: Evaluate and prototype new AI capabilities (new Azure AI Foundry models, new LangGraph features, new RAG patterns) for incorporation into the AWA accelerator catalogue.</li></ul>Required Skills and ExperienceTechnical &mdash; Essential<ul><li>5+ years Python development; 2+ years in production AI/ML engineering</li><li>Deep LangGraph or equivalent agentic framework experience: graph topology, state management, conditional edges, checkpoint-based recovery</li><li>LLM evaluation expertise: F1 measurement against ground truth, Expected Calibration Error (ECE), hallucination detection, confidence calibration</li><li>Prompt engineering at scale: versioned prompts, sensitivity analysis, few-shot dataset curation, PMS governance</li><li>RAG architecture: hybrid retrieval (BM25 + vector), re-ranking, chunk citation, grounding verification</li><li>Azure AI Foundry or equivalent LLM inference platform: PTU, PAYG, token budget management, APIM integration</li><li>Workflow orchestration: Orkes Conductor or Temporal &mdash; HITL wait tasks, retry policies, compensating transactions</li><li>CI/CD pipeline integration for ML: Azure DevOps, MLflow experiment tracking, model registry promotion</li></ul>Technical &mdash; Advantageous<ul><li>Computer vision model deployment and evaluation (object detection &mdash; TPR/TNR/IoU)</li><li>Azure AI Document Intelligence: form recogniser, custom models, layout analysis</li><li>Kubernetes / AKS: workload identity, namespace isolation, KEDA autoscaling</li><li>Apache Iceberg, DuckDB, and data contract patterns</li><li>Banking domain knowledge: cheque clearing, trade finance, KYC, AML</li></ul>Qualifications<ul><li>Bachelor's degree in Computer Science, AI/ML, or equivalent; Master's preferred</li><li>Azure AI Engineer Associate or equivalent certification</li><li>Demonstrable production AI deployments &mdash; case studies or public work highly valued</li></ul>Pay: AED21,000.00 - AED30,000.00 per monthWork Location: In person

Senior AI Engineer

GSSTech Group

<div>Education<ul><li>
Postgraduate degree in Computer Science or related field (or equivalent experience)</li></ul>
Experience<ul><li>
7+ years of implementation experience as a Technical Expert in Oracle Fusion HCM</li></ul>
Technical Skills<ul>
<li>Customization of Oracle Fusion modules</li>
<li>Development of SaaS extensions using Oracle VBCS, PCS</li>
<li>Knowledge of Oracle HCM Modules (Core HR, Performance, Recruitment, Learning, Payroll)</li>
<li>Expertise in Oracle Fusion Cloud tools (FBDI, ADFdi, Workflows, BI Publisher, etc.)</li>
<li>Experience with OIC, OCI APEX, and ATP</li>
<li>Understanding of REST services and Oracle Cloud Infrastructure</li>
<li>Integration of systems with Oracle Fusion using various patterns and OIC</li>
<li>Basic Shell scripting skills</li>
<li>Expertise in SQL, PLSQL, and Oracle frameworks</li>
<li>Proficiency in GitHub, CICD, and Automation Testing is a plus</li>
</ul>Soft Skills<ul>
<li>Ability to influence teams on technical matters, enhancing productivity</li>
<li>Self-motivated, capable of working independently and collaboratively</li>
<li>Strong interpersonal skills for engaging with Senior and Executive management</li> 
</ul> 
 
Requirements 
<ul>
<li>Customization of Oracle Fusion modules</li>
<li>Development of SaaS extensions using Oracle VBCS, PCS</li>
<li>Knowledge of Oracle HCM Modules (Core HR, Performance, Recruitment, Learning, Payroll)</li>
<li>Expertise in Oracle Fusion Cloud tools (FBDI, ADFdi, Workflows, BI Publisher, etc.)</li>
<li>Experience with OIC, OCI APEX, and ATP</li>
<li>Understanding of REST services and Oracle Cloud Infrastructure</li>
<li>Integration of systems with Oracle Fusion using various patterns and OIC</li>
<li>Basic Shell scripting skills</li>
<li>Expertise in SQL, PLSQL, and Oracle frameworks</li>
<li>Proficiency in GitHub, CICD, and Automation Testing is a plus</li></ul></div>

Oracle Fusion HCM Senior Software Engineer - Leading UAE bank

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

BCG X

<div>
 Who We Are
 
 
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 
 
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 
 
 
 We Are BCG X
 
 
 
 We&rsquo;re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world&rsquo;s most complex problems. Leveraging BCG&rsquo;s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
 
 
 What You'll Do
 
 
 Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.
 
 
 Our AI Software Engineers and Senior AI Software Engineers are part of our rapidly growing engineering team and help to build the next generation of AI solutions. You&rsquo;ll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X.
 
 
 We Are Looking For Dedicated Individuals With a Passion For Software Development, Large-scale Data Analytics And Redefining Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following
 
 
 <ul>
 <li>
 Apply software development practices and standards to develop robust and maintainable software
 </li>
 <li>
 Actively involved in every part of the software development process
 </li>
 <li>
 Experienced at guiding non-technical teams and consultants in and best practices for robust software development
 </li>
 <li>
 Optimize and enhance computational efficiency of algorithms and software design
 </li>
 <li>
 Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases
 </li>
 <li>
 Enjoy collaborating in teams to share software design and solution ideas
 </li>
 <li>
 A natural problem-solver and intellectually curious across a breadth of industries and topics
 
 
 </li>
 </ul>
 What You'll Bring
 
 
 
 Technologies
 
 
 
 Programming Languages: Python
 
 
 #BCGXjob
 
 
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 
 
 BCG is an E - Verify Employer. Click here for more information on E-Verify.
</div>

Forward Deployed AI Engineer, United Arab Emirates - BCG X

Confidential

We are looking for a GUI / Web Developer to join our ERP software development team in Sharjah. The candidate will be responsible for designing, developing, and maintaining modern, responsive, and user-friendly web applications for enterprise ERP systems.The role involves creating clean and interactive user interfaces, improving user experience, integrating REST and GraphQL APIs, working with MySQL databases, and supporting backend development using Node.js. The candidate will also work with C++ and object-oriented programming concepts as part of our software development environment.The ideal candidate should be comfortable working on real business applications, handling large datasets, optimizing database queries, and collaborating with the team to build reliable ERP modules for businesses.

We're Hiring: GUI/Web Developer (Full-Time) – Sharjah-Based ERP Company

Explore 1009+ Software development in United Arab Emirates this July. Find roles across top companies and apply now to boost your career.