devops engineer

ai engineer

project engineer

network engineer

senior engineer

full stack engineer dotnet react

DICETEK LLC

<div>Require full stack dotnet developer who is capable of designing &amp; developing high quality applications. The major technologies we are looking forward to Dotnet Core, Microservices, Cloud environments, REST APIs, Kafka, ASP.netCore MVC, and SQL
Major skills / technologies required:
React : React.js, React Native, JavaScript, Kotlin, Groovy, Java, Redux, XState, Webpack, TypeScript, Redux, Babel, NPM/Yarn, RESTful APIs, HTML5, CSS3, Bootstrap , GraphQL
Dotnet Core : .NET Core, ASP.netCore MVC, Dependency Injection, Entity Framework Core
Micro services : Service Mesh, Service Discovery, Domain Driven
Databases : SQL Server, PostgreSQL, MySQL, MongoDB
REST APIs : RESTful Services, API Design, OAuth2, JWT, OIDC
Kafka : Kafka Streams, Kafka Connect, Messaging Patterns
Tools : Visual Studio, Visual Studio Code, JetBrains Rider, Postman, Git, Confluence, Jira
Cloud Ready : Azure, AWS, Docker, Kubernetes 
Experience &amp; Soft Skills<ul><li>
Total Experience up to 5-10 years</li><li>
Good Experience on handling Platform/Hosting support functionality.</li><li>
Banking Experience is preferred</li><li>
Strong analytical and problem-solving abilities.</li><li>
Excellent communication and teamwork skills.</li><li>
Ability to work independently and manage multiple tasks effectively.</li><li>
A proactive approach to learning new technologies and improving existing processes.</li></ul>
Responsibilities<ul><li>
Design, develop, maintain, and support Dotnet back-end services and APIs</li><li>
Analyze requirements and formalize technical approaches</li><li>
Test-driven development and implementation of middleware services end-to-end</li><li>
Ensure maximum code coverage (&gt;80%) through unit testing</li><li>
Address and handle all penetration testing scenarios</li><li>
Ensure bug-free application releases by maintaining high code quality standards</li><li>
Implement security measures to protect user data and application integrity</li><li>
Stay informed about common security vulnerabilities and how to mitigate them</li></ul></div>

Full Stack Engineer ( dotnet + React)

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 Full-Stack Engineer to own features from database to interface &mdash; designing APIs and data models, building responsive frontends, and shipping production code with tests, observability, and CI/CD. We value breadth across the stack with enough depth to make sound architectural calls.
The modern full-stack role increasingly includes integrating AI: calling LLM APIs, building RAG-backed and agentic features, and streaming model output into the UI. We work TypeScript-first, edge-aware, and type-safe end-to-end, with AI coding assistants as part of the everyday toolchain. 
Key Responsibilities<ul><li>
Build responsive, accessible interfaces with React/Next.js (or Vue/Svelte) and TypeScript.</li><li>
Develop and maintain backend services and APIs (REST, GraphQL, gRPC, or tRPC) with clean domain models.</li><li>
Design relational and non-relational data models, write performant queries, and manage migrations.</li><li>
Integrate AI features &mdash; call LLM APIs, build RAG and tool-using flows, and stream output into the UI.</li><li>
Implement authentication and authorization securely (OAuth/OIDC, JWT, managed auth providers).</li><li>
Write automated tests across the stack &mdash; unit, integration, and end-to-end.</li><li>
Own features end-to-end, from design through deployment, monitoring, and iteration.</li><li>
Optimize performance: rendering strategy (SSR/SSG/ISR/edge), caching, Core Web Vitals, and query tuning.</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>
Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field.</li><li>
3+ years building and shipping production web apps across frontend and backend.</li><li>
Strong JavaScript/TypeScript and a modern frontend framework (React/Next.js, Vue, or Svelte).</li><li>
Backend experience in at least one of Node.js, Python, Go, Java, or .NET, with solid API design.</li><li>
Strong SQL and database design (PostgreSQL/MySQL) plus a NoSQL or caching store.</li><li>
Experience with Git, CI/CD, testing, and deploying to a cloud or serverless platform.</li><li>
A solid understanding of web fundamentals: HTTP, REST, auth, caching, security, and performance.</li><li>
Experience integrating third-party and/or AI APIs into applications.</li></ul> 
Nice to have:<ul><li>
AI-native product features (copilots, RAG search, agentic flows).</li><li>
Monorepo tooling and design systems.</li><li>
Real-time features (WebSockets, CRDTs, collaborative editing).</li><li>
Mobile or cross-platform experience (React Native, Expo).</li><li>
DevOps fluency &mdash; containers, IaC basics, owning your own deployments.</li></ul>
Tools &amp; Technologies You&rsquo;ll Work With:<ul><li>
Frontend: React, Next.js (App Router, RSC), Vue/Nuxt, Svelte/SvelteKit, Tailwind CSS, shadcn/ui.</li><li>
State &amp; data: TanStack Query, Zustand, Server Actions.</li><li>
Backend: Node.js, Bun; FastAPI/Django, Spring Boot, .NET, Go.</li><li>
APIs &amp; data: REST, GraphQL, tRPC, gRPC; PostgreSQL, MongoDB, Redis, pgvector; Prisma, Drizzle.</li><li>
AI integration: Vercel AI SDK, OpenAI/Anthropic/Gemini SDKs, RAG and embeddings.</li><li>
Auth &amp; testing: OAuth/OIDC, Auth.js, Clerk; Vitest, Jest, Playwright, Cypress.</li><li>
Build &amp; deploy: Vite, Turborepo/Nx, pnpm; Vercel, AWS/Azure/GCP, Docker, GitHub Actions; Sentry.</li></ul></div>

Full-Stack Engineer (front-end focused, 6 months contract)

<div>Experience
10 -15 years
Skills -
Experience in working Full stack architecture
React JS, Python, Fast API as backend, Postgres SQL
Azure data factory - Backend data pipelines
TLS 1.2 or 1.3 implementation
SSO implementation
Lead the senior full stack developers
Design the Modules/ project and implement
Finops experience is a add on 
Required Technical Qualifications<ul><li>12+ years of software engineering experience with 5+ years in principal or staff engineer roles</li><li>5+ years of experience with cloud platforms, preferably Azure with exposure to AWS and OCI</li><li>3+ years of experience with data engineering and lakehouse architectures</li><li>Proven track record of delivering enterprise-scale platforms from inception to production</li><li>Expert-level proficiency in React, Python, and TypeScript</li><li>Deep experience with Databricks, Delta Lake, and Spark</li><li>Strong knowledge of Azure services including AKS, ADLS Gen2, Event Hubs, Azure Functions, and API Management</li><li>Proficiency in designing RESTful APIs and GraphQL services using FastAPI or similar frameworks</li><li>Strong understanding of CI/CD pipelines using Azure DevOps or GitHub Actions</li><li>Experience designing multi-cloud data integration solutions</li><li>Knowledge of FinOps principles and cloud cost management concepts</li><li>Understanding of enterprise security patterns including zero-trust architecture, private endpoints, and managed identities</li><li>Experience with event-driven architectures and streaming data platforms</li><li>Excellent communication skills with ability to present to technical and non-technical stakeholders</li><li>Strong problem-solving and decision-making abilities</li><li>Experience leading distributed engineering teams</li><li>Ability to balance technical excellence with business delivery timelines</li></ul></div>

Principal Full Stack Engineer - Cloud FinOps Platform

YO IT Consulting

<div>
 
 Job Title:
 
 Software Engineering
 
 
 
 Job Type:
 
 Contractor (10-12 hours per week)
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary
 
 
 
 We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.
 
 
 No prior AI experience is required. What matters most is strong software engineering judgment, clean technical communication, and the ability to evaluate code, architecture, tradeoffs, and implementation quality.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects.
 </li>
 <li>
 Review, debug, improve, and explain code across different technical environments.
 </li>
 <li>
 Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows.
 </li>
 <li>
 Identify tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience.
 </li>
 <li>
 Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered.
 </li>
 <li>
 Collaborate with the customer&rsquo;s team on technical reviews, implementation decisions, and problem-solving exercises.
 </li>
 <li>
 Adapt quickly to new codebases, frameworks, and technical requirements.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 5+ years of hands-on software engineering experience.
 </li>
 <li>
 Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, Node.js, Java, C#, .NET, C++, Go, Ruby, PHP, or similar.
 </li>
 <li>
 Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations.
 </li>
 <li>
 Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs.
 </li>
 <li>
 Ability to explain complex engineering decisions clearly and objectively.
 </li>
 <li>
 Comfortable reading and reasoning through unfamiliar code or technical requirements
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with cloud environments such as AWS, GCP, or Azure.
 </li>
 <li>
 Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations.
 </li>
 <li>
 Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native.
 </li>
 <li>
 Open-source contributions, public GitHub work, technical writing, or strong examples of past engineering work.
 </li>
 <li>
 Experience mentoring engineers, reviewing code, or making architecture decisions.
 </li>
 </ul>
</div>

JavaScript/TypeScript Developer - Remote

Deeplight

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

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

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

Full Stack Developer

Presight

<div>
 
 
 The Opportunity:
 
 
 
 Presight AI is seeking a motivated and skilled Senior Fullstack Engineer to join our dynamic team building end-to-end AI-powered data processing and analytics platform for the enterprise.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 In this role, you will help build the distributed backend services and rich UI components that turn raw enterprise data into clean, normalized, governed, and ML/AI-enriched data products. These data products will serve as the foundation for high-performance classical BI analytics as well as modern agentic data engineering and analytics workflows. You may work across functional areas such as data profiling and quality, data governance, ETL pipelines, data warehouse capabilities, agentic data engineering, dashboards, spatial and geospatial analysis, and entity-centric analytics based on ontologies that model real-world objects, events, and relationships.
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, Computer Science, Engineering or related field
 </li>
 <li>
 Strong computer science and basic algorithms knowledge.
 </li>
 <li>
 5+ years of experience in Java, Python building backend services &amp; distributed systems.
 </li>
 <li>
 5+ years of experience building modern frontends with React and TypeScript.
 </li>
 <li>
 Experience designing and building large scale distributed fault tolerant services.
 </li>
 <li>
 Experience building: search, recommendations, or other advanced analytics systems.
 </li>
 <li>
 Strong knowledge about programming principles (SOLID).
 </li>
 <li>
 Strong understanding of data analytics fundamentals and knowledge of basic SQL.
 </li>
 <li>
 Proficient with agentic development tools.
 </li>
 </ul>
 
 
 
 
 
 Good to have:
 
 
 <ul>
 <li>
 data engineer experience with Databricks, Snowflake or MS Fabric.
 </li>
 <li>
 Worked with Clickhouse on OLAP/DWH workloads.
 </li>
 <li>
 Experience with batch and stream processing big data using Spark, Trino, Flink, Kafka, etc&hellip;
 </li>
 <li>
 Practical experience processing unstructured data with modern models &ndash; OCR, STT, NER, etc...
 </li>
 <li>
 Implemented complex analytics with BI tools such as Tableau, PowerBI or built your own.
 </li>
 <li>
 AI models, python notebook is something you like to play with as well.
 </li>
 <li>
 Have great communication skills and passion in technology and driving thing forward!
 </li>
 </ul>
</div>

Senior 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
 
 
 
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AI Engineer 6 Months Contract

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