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Contango

<div>
 
 Contract duration:
 
 6 months (with a potential extension)
 
 
 
 Engagement Type:
 
 Full-time
 
 
 
 Start date:
 
 July 2026
 
 
 
 Location:
 
 Abu Dhabi (on-site)
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems &mdash; primarily LLM-powered applications, RAG pipelines, and agentic workflows &mdash; that solve real client business problems in the UAE. The role combines applied AI expertise with solid software and data engineering foundations, with hands-on ownership from prototype to production and hypercare.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and deliver end-to-end LLM applications: scope the use case, build, evaluate, deploy, and hand over reliable, observable services.
 </li>
 <li>
 Build and optimize RAG pipelines: data parsing, ingestion, chunking, embeddings, vector search, re-ranking, and context-window optimization.
 </li>
 <li>
 Design and orchestrate agentic workflows for reasoning, planning, and task execution.
 </li>
 <li>
 Build evaluation and observability: define metrics (accuracy, latency, cost-per-task), run eval pipelines, and monitor systems in production.
 </li>
 <li>
 Integrate AI components into client applications via secure backend APIs; collaborate with data, software, and DevSecOps teams.
 </li>
 <li>
 Engineer the supporting data layer: pipelines, feature/embedding stores, and data quality for AI workloads on cloud platforms.
 </li>
 <li>
 Manage the full lifecycle: deployment, monitoring, versioning, rollback readiness, and cost/performance optimization.
 </li>
 <li>
 Translate business problems into AI solutions and communicate model capabilities, limitations, and trade-offs clearly to clients and stakeholders.
 </li>
 <li>
 Maintain technical documentation, runbooks, and delivery artifacts across Design &amp; Align &rarr; Build &rarr; UAT &rarr; Production &amp; Hypercare.
 
 
 </li>
 </ul>
 
 Candidate Requirements
 
 
 
 <ul>
 <li>
 Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.
 </li>
 <li>
 Prior experience at management consulting firms and/or Big Tech is an advantage.
 </li>
 <li>
 Strong Python and solid software engineering fundamentals.
 </li>
 <li>
 Hands-on LLM APIs (Anthropic, OpenAI, Azure OpenAI), including tokenization, latency, and cost control.
 </li>
 <li>
 Proven RAG architecture experience with vector databases (e.g., Azure AI Search, Qdrant, Chroma, Pinecone, FAISS).
 </li>
 <li>
 Experience with agent/orchestration frameworks (e.g., LangChain, LangGraph, CrewAI).
 </li>
 <li>
 Evaluation and observability skills for production AI (eval pipelines, LLM-as-judge, monitoring).
 </li>
 <li>
 Working knowledge of a major cloud AI/data stack (Azure, AWS, or GCP) and MLOps tooling (e.g., MLflow, Docker).
 </li>
 <li>
 Solid data engineering skills: SQL, distributed processing (e.g., Spark/Databricks).
 </li>
 <li>
 Strong collaboration and communication skills &mdash; able to work with both technical teams and senior client stakeholders.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
 </li>
 <li>
 3&ndash;6 years of experience building and shipping AI/ML solutions into production.
 </li>
 <li>
 Preferred certifications (nice to have): cloud AI certifications (Azure AI Engineer, AWS ML, Databricks GenAI Engineer).
 </li>
 </ul>
</div>

AI Engineer (6 months contract)

Confidential Careers

<div>
 
 
 We&rsquo;re Hiring: AI Engineer | UAE N
 
 
 
 We are looking for a passionate and hands-on
 
 AI Engineer
 
 to join our growing team and help build cutting-edge AI-powered solutions.
 
 
 
 
 
 
 About the Role
 
 
 
 As an AI Engineer, you will be responsible for
 
 designing, building, and deploying AI-driven features and applications
 
 using large language models (LLMs) such as GPT and Claude. This is a highly practical role focused on
 
 developing real-world AI products
 
 , not research or model training.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Develop and deploy AI-powered applications from prototype to production
 </li>
 <li>
 Integrate LLMs (GPT, Claude) into business solutions using APIs
 </li>
 <li>
 Design prompts, workflows, and AI agents to improve output quality
 </li>
 <li>
 Work with Azure AI Foundry and modern AI platforms
 </li>
 <li>
 Continuously evaluate and adopt new AI tools and technologies
 </li>
 <li>
 Collaborate with product, design, and engineering teams
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Degree in Computer Science, AI, or related field
 </li>
 <li>
 Strong Python and software engineering skills
 </li>
 <li>
 Experience working with APIs and LLM integrations
 </li>
 <li>
 Hands-on experience with GPT, Claude, or similar models
 </li>
 <li>
 Familiarity with tools like Git and modern AI frameworks
 </li>
 <li>
 Ability to work in a fast-paced, evolving environment
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar frameworks
 </li>
 <li>
 Knowledge of RAG, vector databases, or Azure AI tools
 </li>
 <li>
 Exposure to open-source LLMs (Hugging Face, Ollama)
 </li>
 </ul>
</div>

Artificial Intelligence Engineer

Cognizant

<div>
 
 We are seeking an AI-Native Software Engineer who views AI not just as an autocomplete tool, but as a core collaborative partner in software delivery. In this role, you will spend less time manually writing boilerplate and more time architecting systems, designing precise technical specifications, and orchestrating multi-agent workflows.
 
 
 
 
 
 
 Core Responsibilities
 
 
 <ul>
 <li>
 
 System Architecture &amp; Design:
 
 Define high-level system structures, API contracts, and data models before instructing AI tools to implement them. Own the design, not just the execution.
 </li>
 <li>
 
 Context Engineering &amp; Spec Writing:
 
 Author rigorous, unambiguous technical specifications and context rules to guide AI agents toward deterministic, reviewable outputs.
 </li>
 <li>
 
 RAG Pipeline Design:
 
 Architect and own end-to-end Retrieval-Augmented Generation pipelines, document ingestion, chunking strategy, embedding selection, vector store configuration, hybrid retrieval, and relevance evaluation.
 </li>
 <li>
 
 Agentic Workflow Management:
 
 Build and operate agent harnesses using orchestration frameworks (e.g. LangGraph, LangChain, AutoGen) including tool definitions, routing logic, guardrails, fallback paths, and evaluation hooks.
 </li>
 <li>
 
 Human-in-the-Loop Validation:
 
 Design and enforce HITL gates for agentic write operations. Know when to automate and when to require human sign-off, especially for irreversible or high-stakes actions.
 </li>
 <li>
 Review, test, and audit AI-generated code for security vulnerabilities, performance characteristics, edge cases, and architectural alignment before it reaches production.
 </li>
 </ul>
 
 
 
 
 
 Required Technical Skills
 
 
 <ul>
 <li>
 
 Engineering Fundamentals:
 
 Strong mastery of computer science fundamentals &mdash; data structures, algorithms, distributed systems, and system design. You must be able to catch and correct AI errors because you understand the underlying systems.
 </li>
 <li>
 
 Code Review &amp; Auditing:
 
 Exceptional ability to read, evaluate, and critique AI-generated code across multiple languages rapidly.
 </li>
 <li>
 
 Agentic System Design:
 
 Hands-on production experience building agent harnesses, multi-agent orchestration pipelines, and supervisor/routing patterns using frameworks such as LangGraph, LangChain, or equivalent.
 </li>
 <li>
 
 RAG &amp; Retrieval Engineering:
 
 Practical experience designing RAG pipelines including vector store selection, embedding strategies, hybrid search, Reciprocal Rank Fusion, and retrieval quality evaluation.
 </li>
 <li>
 
 AI Tooling Proficiency:
 
 Advanced hands-on experience with AI-native IDEs (e.g. Cursor, Windsurf, GitHub Copilot) and command-line agentic tools (e.g. Claude Code, Aider, Codex CLI).
 </li>
 <li>
 
 Context &amp; Prompt Engineering:
 
 Proven ability to manage AI context windows, system instructions, tool schemas, and prompt structure to produce consistent, auditable outputs.
 </li>
 <li>
 
 Cloud &amp; API Integration:
 
 Solid experience with cloud-native deployment (Azure, AWS, or GCP), RESTful API design, async patterns, and enterprise identity/auth integration.
 </li>
 <li>
 
 Testing &amp; CI/CD:
 
 Strong experience writing automated test suites to validate AI-generated logic inside modern CI/CD pipelines, including adversarial and edge-case coverage.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent deep production experience.
 </li>
 <li>
 Experience integrating with enterprise HR, workforce, or ERP platforms (e.g. SAP SuccessFactors, Workday, Concur, or Oracle HCM) &mdash; particularly in an agentic or API integration context.
 </li>
 <li>
 
 Hands-on ML experience beyond API consumption:
 
 model fine-tuning, training pipelines, evaluation frameworks, or MLOps deployment.
 </li>
 <li>
 Familiarity with enterprise identity providers (e.g. OKTA, Azure AD) and secure token handling in agentic contexts.
 </li>
 <li>
 A portfolio or GitHub repository demonstrating projects built primarily via agentic or spec-driven development methodologies.
 </li>
 </ul>
 
 
</div>

AI-Native Engineer

Salt

<div>
 
 
 🤖 Full Stack Engineer
 
 
 
 
 ⏳ 6-month initial contract - with extensions
 
 
 
 
 📍 Abu Dhabi
 
 
 
 
 
 
 
 Build the Future of AI in Banking
 
 
 
 
 
 
 We're partnering with one of the UAE's leading financial institutions to hire an experienced
 
 Full Stack Developer
 
 to help shape the next generation of AI-powered banking.
 
 
 
 
 
 You'll play a key role in developing the customer and operational interfaces for a cutting-edge
 
 Agentic AI platform
 
 , creating intuitive applications that connect complex AI decision-making with the people who rely on it every day. From Human-in-the-Loop (HITL) review portals and real-time operational dashboards to internal AI management tools, you'll build products that are central to the bank's AI transformation journey.
 
 
 
 
 
 This is an opportunity to work on enterprise-scale AI solutions using modern technologies including
 
 React, TypeScript, Node.js, Azure, Kubernetes, REST APIs, and GenAI integrations
 
 , while collaborating with AI Engineers, Product teams, Business Analysts and Platform Architects.
 
 
 The Role As a
 
 Full Stack Developer
 
 , you'll own the design and development of the human-facing applications that power the bank's AI ecosystem. You'll transform complex AI outputs, including confidence scores, exception handling, agent status and operational metrics&mdash;into intuitive, high-performance user experiences for operations teams, business users and customers.
 
 
 
 
 
 
 What You'll Be Doing:
 
 
 
 Build Modern AI Applications
 
 <ul>
 <li>
 Develop enterprise-grade React &amp; TypeScript applications for AI-powered banking solutions.
 </li>
 <li>
 Design intuitive interfaces that visualise AI decisions, confidence scores and workflow status.
 </li>
 <li>
 Create responsive, accessible applications that deliver an exceptional user experience.
 </li>
 </ul>
 
 Human-in-the-Loop (HITL) Platform
 
 <ul>
 <li>
 Develop reviewer portals enabling operations teams to validate AI-generated decisions.
 </li>
 <li>
 Build document viewers with field overlays and confidence indicators.
 </li>
 <li>
 Create streamlined approval, edit and rejection workflows with productivity-focused features.
 </li>
 </ul>
 
 Operational Dashboards
 
 <ul>
 <li>
 Build real-time dashboards displaying AI performance and operational health.
 </li>
 <li>
 Visualise key metrics including:
 </li>
 <li>
 Straight Through Processing (STP)
 </li>
 <li>
 Human intervention rates
 </li>
 <li>
 AI confidence trends
 </li>
 <li>
 Processing latency
 </li>
 <li>
 Token consumption
 </li>
 <li>
 Document volumes
 </li>
 <li>
 Exception analytics
 </li>
 </ul>
 
 Platform &amp; API Integration
 
 <ul>
 <li>
 Integrate applications with AI services, REST APIs and backend orchestration platforms.
 </li>
 <li>
 Develop secure communication between AI services and banking applications.
 </li>
 <li>
 Consume real-time event streams using WebSockets and Server-Sent Events.
 </li>
 </ul>
 
 Internal AI Tooling
 
 <ul>
 <li>
 Build internal portals supporting AI prompt management, testing, annotation and AI use case configuration.
 </li>
 <li>
 Create developer tooling that accelerates AI delivery across multiple business functions.
 </li>
 </ul>
 
 Performance &amp; Accessibility
 
 <ul>
 <li>
 Deliver highly performant applications optimised for enterprise environments.
 </li>
 <li>
 Ensure solutions meet accessibility standards and gracefully handle AI processing latency.
 </li>
 <li>
 Contribute to a reusable design system and component library aligned with corporate branding.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 
 Essential Experience
 
 <ul>
 <li>
 5+ years' experience as a Full Stack Developer
 </li>
 <li>
 Commercial experience delivering
 
 AI, Generative AI, Agentic AI or Conversational AI
 
 projects
 </li>
 <li>
 Strong React &amp; TypeScript development experience
 </li>
 <li>
 Node.js or Python (FastAPI / Express)
 </li>
 <li>
 REST API integration and development
 </li>
 <li>
 Experience with WebSockets or Server-Sent Events
 </li>
 <li>
 State management using Redux, Zustand or React Query
 </li>
 <li>
 Data visualisation using Recharts, D3 or similar libraries
 </li>
 <li>
 OAuth2 / OpenID Connect authentication
 </li>
 <li>
 Docker and Kubernetes fundamentals
 </li>
 <li>
 Experience building scalable, enterprise-grade web applications
 </li>
 </ul>
 
 Nice to Have
 
 <ul>
 <li>
 React Native or mobile banking application development
 </li>
 <li>
 Azure Static Web Apps, Azure Front Door or CDN configuration
 </li>
 <li>
 High-resolution document rendering and annotation tools
 </li>
 <li>
 Experience displaying streaming LLM responses
 </li>
 <li>
 Understanding of AI/ML concepts including confidence scoring, model evaluation and operational metrics
 </li>
 <li>
 Experience working within Azure cloud environments
 </li>
 </ul>
 
 
 
 
 
 Why Join?
 
 
 
 This is a rare opportunity to work on one of the region's most ambitious AI transformation programmes.
 
</div>

Full Stack Engineer

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 Contract duration:
 
 6 months (with a potential extension)
 
 
 
 Engagement Type:
 
 Full-time
 
 
 
 Start date:
 
 July 2026
 
 
 
 Location:
 
 Abu Dhabi (on-site)
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems &mdash; primarily LLM-powered applications, RAG pipelines, and agentic workflows &mdash; that solve real client business problems in the UAE. The role combines applied AI expertise with solid software and data engineering foundations, with hands-on ownership from prototype to production and hypercare.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and deliver end-to-end LLM applications: scope the use case, build, evaluate, deploy, and hand over reliable, observable services.
 </li>
 <li>
 Build and optimize RAG pipelines: data parsing, ingestion, chunking, embeddings, vector search, re-ranking, and context-window optimization.
 </li>
 <li>
 Design and orchestrate agentic workflows for reasoning, planning, and task execution.
 </li>
 <li>
 Build evaluation and observability: define metrics (accuracy, latency, cost-per-task), run eval pipelines, and monitor systems in production.
 </li>
 <li>
 Integrate AI components into client applications via secure backend APIs; collaborate with data, software, and DevSecOps teams.
 </li>
 <li>
 Engineer the supporting data layer: pipelines, feature/embedding stores, and data quality for AI workloads on cloud platforms.
 </li>
 <li>
 Manage the full lifecycle: deployment, monitoring, versioning, rollback readiness, and cost/performance optimization.
 </li>
 <li>
 Translate business problems into AI solutions and communicate model capabilities, limitations, and trade-offs clearly to clients and stakeholders.
 </li>
 <li>
 Maintain technical documentation, runbooks, and delivery artifacts across Design &amp; Align &rarr; Build &rarr; UAT &rarr; Production &amp; Hypercare.
 
 
 </li>
 </ul>
 
 Candidate Requirements
 
 
 
 <ul>
 <li>
 Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.
 </li>
 <li>
 Prior experience at management consulting firms and/or Big Tech is an advantage.
 </li>
 <li>
 Strong Python and solid software engineering fundamentals.
 </li>
 <li>
 Hands-on LLM APIs (Anthropic, OpenAI, Azure OpenAI), including tokenization, latency, and cost control.
 </li>
 <li>
 Proven RAG architecture experience with vector databases (e.g., Azure AI Search, Qdrant, Chroma, Pinecone, FAISS).
 </li>
 <li>
 Experience with agent/orchestration frameworks (e.g., LangChain, LangGraph, CrewAI).
 </li>
 <li>
 Evaluation and observability skills for production AI (eval pipelines, LLM-as-judge, monitoring).
 </li>
 <li>
 Working knowledge of a major cloud AI/data stack (Azure, AWS, or GCP) and MLOps tooling (e.g., MLflow, Docker).
 </li>
 <li>
 Solid data engineering skills: SQL, distributed processing (e.g., Spark/Databricks).
 </li>
 <li>
 Strong collaboration and communication skills &mdash; able to work with both technical teams and senior client stakeholders.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
 </li>
 <li>
 3&ndash;6 years of experience building and shipping AI/ML solutions into production.
 </li>
 <li>
 Preferred certifications (nice to have): cloud AI certifications (Azure AI Engineer, AWS ML, Databricks GenAI Engineer).
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Not Applicable Work Type: Contract Country: United Arab Emirates City: Abu Dhabi Company Website: https://contango.ae/ 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.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

AI Engineer 6 Months Contract

Salient Group

<div>
 
 
 AI/ML Engineer (Mid, Senior, Lead)
 
 
 
 
 Location
 
 | Abu Dhabi/Dubai (Hybrid)
 
 
 
 Comp
 
 | $200k-$250k + Equity + Package
 
 
 
 Focus
 
 | Real-World AI Deployment Across Enterprise &amp; Operational Environments, AI Systems, LLM Applications &amp; Agentic Workflows
 
 
 
 
 
 We&rsquo;re working with a frontier AI company that builds and deploys AI systems for the world&rsquo;s most important institutions, automating billion-dollar processes, unlocking national productivity, and modernising the infrastructure of society itself. This is not research for research&rsquo;s sake. This is applied AI, deployed in the real world.
 
 
 
 
 
 They are backed by some of the world&rsquo;s most respected founders and AI pioneers, and built a 70+ person team from tier-1 companies. Now, they&rsquo;re expanding globally and looking for engineers who want to own the deployment of AI that changes how the world works.
 
 
 
 
 
 
 The Role
 
 
 
 As an AI/ML Engineer, you&rsquo;ll turn state-of-the-art models into production-grade systems that power national-scale change. You&rsquo;ll design, deploy, and optimise AI applications that automate some of the hardest real-world processes from energy and healthcare to government operations.
 
 
 
 
 
 You&rsquo;ll be embedded in small, elite teams that own problems end-to-end: architecture, data, model design, deployment, and iteration. No silos. No bureaucracy. Just impact.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build and deploy applied AI systems: from LLMs and agentic reasoning models to scalable data pipelines and production infrastructure.
 </li>
 <li>
 Solve world-scale problems: automate complex workflows, improve public outcomes, and optimise critical national systems.
 </li>
 <li>
 Collaborate with leaders and clients: work directly with government officials, enterprise executives, and industry veterans to translate ideas into deployed solutions.
 </li>
 <li>
 Operate like a founder: own delivery, make decisions fast, and help shape the next generation of applied AI tooling.
 </li>
 <li>
 Stay ahead of the curve: explore the latest GenAI, LLM, and reasoning research to push models from theory to practice.
 </li>
 </ul>
 
 
 
 
 
 You&rsquo;ll Thrive Here If You&hellip;
 
 
 <ul>
 <li>
 Have hands-on experience building GenAI or LLM-based applications (agents, RAG, reasoning models).
 </li>
 <li>
 Know your way around Python, PyTorch, JAX, or TensorFlow, with strong software engineering fundamentals.
 </li>
 <li>
 Can work across data pipelines, APIs, and production deployments with speed and precision.
 </li>
 <li>
 Enjoy autonomy, creative problem-solving, and owning solutions end-to-end.
 </li>
 <li>
 Want your work to matter to see it deployed across industries, governments, and communities.
 </li>
 </ul>
 
 
 
 
 
 Why Join
 
 
 <ul>
 <li>
 Build at frontier scale: ship real systems used by governments, hospitals, and energy leaders worldwide.
 </li>
 <li>
 Elite peers: collaborate with engineers and researchers from tier-1 places.
 </li>
 <li>
 Move fast, own outcomes: you&rsquo;ll ship code in weeks, not quarters.
 </li>
 <li>
 Meaningful rewards: competitive comp, equity, and ownership tied to real impact.
 </li>
 <li>
 Support to thrive: daily lunches, full benefits, 401(k), and unlimited PTO.
 </li>
 </ul>
 
 
 
 
 If you want to build AI that doesn&rsquo;t just predict but powers economies, saves lives, and redefines what&rsquo;s possible , this is where you do it.
 
 
 
 
 
 Join the team building AI that actually ships. Get in touch with danny@salientgroup.com.au for more information.
 
</div>

<div>
 
 Job Description
 
 
 
 
 Job Description
 
 
 
 Presight AI is seeking an innovative, creative and experienced Backend Engineer to build the structure of advanced software applications by writing flawless business logic, server scripts, and APIs.
 
 
 
 The opportunity
 
 
 
 You get to play a key technical role in sustaining and optimizing the infrastructure that develops and delivers cutting edge, next-gen analytics solutions at Presight.
 
 
 Presight is UAE's leading Analytics-driven, Cloud first, AI-enabled company with a deep focus on driving digital transformation in the MENACA region to power the next generation of cities, businesses, and industries. When it comes to challenges faced by organizations in the MENACA regions, Presight has in-depth knowledge and expertise. Presight enables public and private sector stakeholders to make analytics-driven, intelligent decisions. Its solutions help steer digital transformation and simplify its customers' challenges across various industries, including digital governments, national security, national cloud, healthcare, financial sectors, and infrastructure.
 
 
 Founded in 2020, the company is headquartered in Abu Dhabi, UAE. Presight has developed transformative products/solutions which enable its customers to gain a stark competitive advantage by integrating AI, deep Analytics and ML in their digital transformation. The team of over +190 staff includes domain specialists, operations experts, data scientists, solution architects, software developers, engineers and data analysts from different countries &ndash; all committed to delivering impact.
 
 
 Presight is an operating company of G42, UAE's leading AI and Cloud Computing company that champions AI as drivers that power progress, propelled by the combination of exceptional people and technology.
 
 
 
 Key Responsibilities
 
 
 
 Reporting to the Lead Backend Engineer, Analytics, you will design business specific software components and modules using appropriate modelling techniques in line with agreed software design standards, patterns and methodology.
 
 
 
 Functional
 
 
 
 <ul>
 <li>
 Create and communicate multiple design views to identify and balance the concerns of all stakeholders of software design and allow for both functional &amp; non-functional requirements.
 </li>
 <li>
 Model or simulate the behavior of proposed software to enable approval by stakeholders and facilitate effective construction of the software.
 </li>
 <li>
 Design, code, verify, test, document, amend and re-factor complex programs/scripts and integration software services.
 </li>
 <li>
 Define and manage scoping, requirement definition and prioritization activities for small-scale changes and assist with more complex change initiatives.
 </li>
 <li>
 Follow agreed standards and apply appropriate techniques to elicit and document detailed requirements.
 </li>
 <li>
 Contribute to the appropriate selection of a software development approach&mdash;predictive (plan-driven) or adaptive (iterative/agile).
 </li>
 <li>
 Design test cases and test scripts mapping back to pre-determined criteria, clearly recording and reporting outcomes.
 </li>
 <li>
 Develop and maintain specialist knowledge of database and data warehouse concepts, design principles, architecture, software and facilities.
 </li>
 <li>
 Develop optimal solutions to enhance user experience, optimizing for maximum speed, scalability and technical feasibility.
 </li>
 <li>
 Participate in overall architecture discussion meetings to gain a detailed understanding of the complete architecture of a product and its functionalities.
 </li>
 <li>
 Build reusable code and libraries for future use.
 
 
 </li>
 </ul>
 
 Skills And Attributes For Success
 
 
 
 The yardsticks of your performance would include cost savings achieved, reduction in productivity loss, number of processes optimized, number of defect free tasks, adherence to policies, procedures &amp; quality standards, and customer NPS.
 
 
 
 To qualify, you must have
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Information Technology, Computer Science, Engineering or related field
 </li>
 <li>
 Minimum 5 years of experience in software engineering with strong computer science fundamentals
 </li>
 <li>
 At least 3 years of experience in Java Spring Boot and microservices development
 </li>
 <li>
 Familiar with Maven
 </li>
 <li>
 Extensive UNIX/LINUX experience and Shell scripting experience
 </li>
 <li>
 Proficiency in understanding data, entity relationships, structured &amp; unstructured data, SQL and NoSQL databases, better to be familiar with Elasticsearch
 </li>
 <li>
 Experience in RESTful API development
 </li>
 <li>
 Practices in multithreading programming and concurrency programming
 </li>
 <li>
 Use git proficiently
 
 
 </li>
 </ul>
 
 Ideally, you&rsquo;ll also need
 
 
 
 <ul>
 <li>
 Experience in nginx server
 </li>
 <li>
 Experience in using AWS or Azure cloud services
 </li>
 <li>
 A passion for constant improvement
 </li>
 <li>
 An innovative and creative approach to problem-solving
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 
 What we look for:
 
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the G42 community.
 
 
 
 What Working At G42 Offers
 
 
 
 
 
 Culture:
 
 
 An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 
 
 Career:
 
 
 Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 
 
 Rewards:
 
 
 A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 Job Details
 
 
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Abu Dhabi Company Website: https://www.presight.ai Job Function: Software Development 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.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

Backend Engineer

Explore 395+ Ai software engineer in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.

395 ai software engineer jobs In Abu Dhabi

AI Engineer (6 months contract)

Artificial Intelligence Engineer

AI-Native Engineer

Full Stack Engineer

AI Engineer 6 Months Contract

Artificial Intelligence Engineer

Backend Engineer