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Watt Utilities

AI Software EngineerAbout The RoleWe are looking for an AI Software Engineer to help us build the next generation of AI-powered products, features and services.This is not a Machine Learning or Data Science role. Instead, we&rsquo;re looking for an experienced software engineer who has been heavily involved in designing and building production applications using modern AI technologies. You should understand today&rsquo;s AI ecosystem, know how to evaluate emerging AI tools, and be able to identify where AI can create genuine business value.You&rsquo;ll work across our products and platforms, building enterprise-grade web applications while driving the adoption of AI across customer-facing products, internal tools and engineering workflows.Location: On-site in DubaiRequired Technical Skills● Must have 5+ years of professional software development experience● Strong experience with TypeScript, React and Node.js● Deep understanding of Next.js (App Router, Server Actions, Middleware and Routing)● Strong experience with PostgreSQL (or equivalent), including schema design and query optimisation● Must have experience designing and building production AI-powered applications● Strong understanding of Large Language Models (LLMs) and how to integrate them into software products● Experience working with leading AI providers such as OpenAI, Anthropic, Google Gemini or similar● Experience with prompt engineering, structured outputs and tool/function calling● Experience building AI agents, assistants and intelligent automation workflows● Experience implementing Retrieval-Augmented Generation (RAG)● Experience working with embeddings, vector databases and semantic search● Experience building AI applications using modern orchestration frameworks and SDKs (e.g. Vercel AI SDK, LangChain, LangGraph, LlamaIndex or similar)● Familiarity with the Model Context Protocol (MCP) and modern AI tooling ecosystem● Understanding of AI evaluation, latency optimisation, observability and cost optimisation● Experience implementing AI safety, validation and guardrails in production systemsWhat You Will Do● Design, build and ship AI-powered products, features and services● Architect scalable software systems that effectively integrate AI capabilities● Evaluate emerging AI technologies and recommend practical adoption across the business● Build AI agents, assistants and intelligent automation workflows● Develop backend services that support AI-powered experiences● Implement semantic search, RAG pipelines and knowledge retrieval systems where appropriate● Optimise AI applications for quality, performance, reliability and cost● Integrate third-party APIs, AI providers and external services● Collaborate with product managers, designers and stakeholders to solve business problems using AI● Contribute to architecture discussions, code reviews and engineering best practices● Help define engineering standards and reusable patterns for AI development● Stay up to date with the rapidly evolving AI landscape and share knowledge with the wider teamNice To Have● Experience building AI-first SaaS products● Experience with multi-agent architectures● Experience deploying or fine-tuning open-source models● Experience with cloud AI platforms such as AWS Bedrock, Azure AI or Google Vertex AI● Experience with multimodal AI (vision, speech or document understanding)● Experience with AI evaluation frameworks and observability platforms● Contributions to AI open-source projects or personal AI productsAbout You● Passionate about AI and excited by the pace of innovation in the field● You can work autonomously with minimal supervision, taking ownership of tasks from planning to completion● You have a proactive, can-do approach to problem-solving and are willing to tackle unfamiliar challenges● You are comfortable meeting deadlines and handling multiple priorities in a fast-paced environment● You are a team player with a collaborative mindset, open to feedback, and willing to help colleagues● You follow established coding standards and write clean, maintainable, well-documented code● You participate actively in code reviews (giving and receiving feedback)● You take responsibility for testing and quality assurance of your own workJob Type: Full-timePay: AED10,000.00 - AED15,000.00 per monthWork Location: In person

AI Software Engineer

Discovered MENA

<div>
 
 
 AI Software Engineer
 
 
 
 
 
 
 
 Location:
 
 Abu Dhabi
 
 
 
 Package:
 
 30,000 - 35,000 AED per month TAX FREE plus benefits
 
 
 
 Duration:
 
 Permanent
 
 
 
 
 
 I am currently partnered with a brilliant company committed to delivering cutting-edge solutions and enhancing user experiences for various sectors. Their mission is to empower teams with innovative technologies that optimise operations and facilitate efficient issue resolution.
 
 
 
 
 
 We are currently seeking a highly skilled and enthusiastic AI Software Engineer with expertise in Python &amp; AI to join the team in Abu Dhabi.
 
 
 
 
 
 Responsibilities:
 
 
 Conduct in-depth research, design, and development of advanced cellular communications solutions
 
 
 Design and implement systems based on cutting-edge methodologies such as Domain-Driven Design, Reactive Architecture, and Actor model.
 
 
 Develop and maintain CI/CD pipelines, perform comprehensive unit tests, integration tests, and end-to-end tests.
 
 
 Collaborate closely with a team of experienced developers, system architects, and product managers to deliver top-quality technical solutions.
 
 
 Contribute to crucial technological and architectural decisions.
 
 
 Work collaboratively in agile, multidisciplinary teams, embracing Agile principles, methodologies, and tools.
 
 
 
 
 
 Requirements:
 
 
 Expertise in Python with a strong grasp of asynchronous programming and concurrency patterns.
 
 
 Experience building high-performance APIs, ideally using modern Python frameworks.
 
 
 Skilled in integrating and orchestrating LLM-based systems, including function-calling and local model setup.
 
 
 Practical understanding of prompt design and AI-driven workflow optimisation.
 
 
 Hands-on experience with retrieval-augmented generation (RAG) concepts&mdash;such as text segmentation, embeddings, and vector databases (e.g., Milvus, FAISS, Pinecone).
 
 
 Proficient in data handling and validation using Python data frameworks and schema-based approaches.
 
 
 Comfortable working with real-time communication protocols (e.g., WebSockets, Server-Sent Events, gRPC, REST).
 
 
 Knowledge of containerization and deployment pipelines using Docker and CI/CD tools.
 
 
 Experience writing automated tests and maintaining high code quality with Python testing frameworks.
 
 
 Understanding of message-driven architectures and queueing systems (e.g., RabbitMQ).
 
 
 Awareness of GPU-accelerated environments and performance tuning for compute-intensive tasks.
 
 
 Strong command of the English language, both spoken and written (upper-intermediate level).
 
</div>

TALENTMATE

<div>
 
 Overview
 
 
 
 Job Description
 
 
 We empower clients to overcome accounting and financial reporting challenges by delivering innovative technology solutions. As part of our Data &amp; AI team in the AI Hub, you will help drive analytics, decision-making, and innovation, contributing to a more agile and efficient finance function. By fostering outstanding leadership and teamwork, we fulfil our commitment to stakeholders and play a pivotal role in building a better working world for our people, clients, and communities.
 
 
 
 The Opportunity
 
 
 
 We are seeking a Senior AI Software Engineer to join our AI Hub, where we rapidly deliver prototypes, proof-of-concepts (PoCs), and minimum viable products (MVPs), as well as delivering production‑grade solutions that bring AI use cases to life. This role demands expertise across both front-end and back-end development, supporting the creation of dynamic AI-driven products such as GenAI-enabled web applications, use case marketplaces, and diagnostic tools. You will be responsible for designing, building, and optimizing end-to-end solutions, translating business requirements into robust, scalable, secure, and accessible web experiences suitable for enterprise production environments.
 
 
 Core Requirements
 
 
 <ul>
 <li>
 5+ years of professional experience delivering enterprise-grade software solutions across backend and frontend systems.
 </li>
 <li>
 Strong hands-on experience building secure, scalable, and maintainable APIs using Python and Node.js, with frameworks such as FastAPI and Fastify.
 </li>
 <li>
 Solid frontend engineering experience with TypeScript, React, and Next.js, following enterprise UI and accessibility standards.
 </li>
 <li>
 Proven experience containerizing, deploying, and operating applications in production using Docker and Kubernetes, with a strong understanding of reliability and scalability.
 </li>
 <li>
 Experience designing, implementing, and maintaining CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps, with automated testing and quality gates.
 </li>
 <li>
 Hands-on experience deploying and operating production workloads on Microsoft Azure, including services such as AKS, Azure Container Apps, Azure Container Registry, and related platform services.
 </li>
 <li>
 Strong understanding and application of software engineering best practices, including SOLID principles, clean architecture, and common enterprise design patterns.
 </li>
 <li>
 Experience working with relational databases such as MS SQL Server and PostgreSQL, including schema design, query optimization, and transactional consistency.
 </li>
 <li>
 Practical experience with vector databases (e.g., Chroma, Milvus, Pinecone) and pgvector, including building and operating Retrieval Augmented Generation (RAG) pipelines in production environments.
 </li>
 <li>
 Ability to collaborate effectively in cross-functional enterprise teams, including product, architecture, security, and cloud/platform teams.
 </li>
 <li>
 Experience working with LLMs and AI platforms, such as Azure OpenAI, OpenAI APIs, or similar enterprise AI services.
 </li>
 <li>
 Familiarity with LLM orchestration frameworks such as LangChain, Semantic Kernel, or equivalent.
 </li>
 <li>
 hands-on experience using AI coding assistants (Claude Code, OpenAI Codex,..etc)
 </li>
 <li>
 Strong documentation skills and experience contributing to architecture decisions, technical standards, and internal best practices.
 </li>
 <li>
 Prior experience mentoring junior engineers or contributing to engineering excellence initiatives.
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Exposure to MLOps or AI platform operations, including model lifecycle management, monitoring, and observability.
 </li>
 <li>
 Experience with event-driven or distributed architecture (e.g., message queues, service buses, async processing).
 </li>
 <li>
 Knowledge of observability and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).
 </li>
 <li>
 Experience working in regulated or compliance-driven environments (e.g., financial services, audit).
 </li>
 <li>
 Familiarity with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates.
 
 
 </li>
 </ul>
 What We Look For
 
 
 We are seeking ambitious builders who excel at transforming ambiguity into impactful digital solutions. You are passionate about AI-driven products, comfortable with rapid prototyping, and motivated by delivering market-relevant, client-centric applications that generate tangible value.
 
 
 What We Offer
 
 
 <ul>
 <li>
 Competitive compensation package, performance-based rewards, and recognition for your contributions.
 </li>
 <li>
 Continuous learning and world-class professional development opportunities.
 </li>
 <li>
 Flexible work arrangements to empower your impact.
 </li>
 <li>
 Coaching, mentorship, and transformative leadership experiences.
 </li>
 <li>
 A diverse, inclusive, and collaborative culture.
 
 
 </li>
 </ul>
 If you meet the above criteria, we encourage you to apply and become part of the exceptional EY experience, where you can shape your future and help us build a better working world.
 
 
 Job Details
 
 
 Role Level: Mid-Level Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: http://www.ey.com 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>

Senior Consultant - AI Software Engineer- AI Hub - Dubai

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)

<div>
 
 
 
 Applied AI Engineer &ndash; Abu Dhabi
 
 
 
 
 
 
 Discover the Opportunity
 
 
 
 
 We&rsquo;re partnering with a major enterprise in Abu Dhabi that is building next-generation AI capabilities to power large-scale, real-world systems.
 
 
 
 
 
 This role sits within a central AI function responsible for developing and deploying advanced AI applications across multiple entities. The team is focused on leveraging cutting-edge technologies including large language models, retrieval systems, and agent-based workflows to deliver scalable, production-grade solutions.
 
 
 
 
 
 This is a unique opportunity to work at the forefront of applied AI, contributing to the development of AI-driven systems that operate at an enterprise level.
 
 
 
 
 
 
 
 Discover the Role
 
 
 
 
 As an Applied AI Engineer, you will design and deliver end-to-end AI-powered applications, working at the intersection of AI engineering, software development, and product delivery.
 
 
 
 
 
 You will take ownership of building robust, production-ready systems leveraging modern AI capabilities, translating complex requirements into scalable solutions. This role requires strong hands-on engineering expertise combined with a deep understanding of how to operationalise AI in real-world environments.
 
 
 
 
 
 
 
 Discover the Responsibilities
 
 
 
 <ul>
 <li>
 Design and deploy production-grade AI applications powered by large language models, including assistants, copilots, and automation tools
 </li>
 <li>
 Build advanced agent-based systems capable of multi-step reasoning, planning, and tool integration
 </li>
 <li>
 Develop end-to-end retrieval-augmented generation (RAG) systems, including data ingestion pipelines, vector databases, and retrieval optimisation
 </li>
 <li>
 Expose AI capabilities through scalable APIs that integrate seamlessly with existing systems and data platforms
 </li>
 <li>
 Define and implement evaluation frameworks to measure model performance, detect issues, and continuously improve system quality
 </li>
 <li>
 Translate complex and ambiguous requirements into structured engineering solutions with clear success metrics
 </li>
 <li>
 Build reusable components, frameworks, and infrastructure to enable scalable AI adoption across multiple entities
 </li>
 <li>
 Collaborate with cross-functional teams to deliver reliable, high-performance AI systems
 </li>
 </ul>
 
 
 
 
 
 
 Discover the Requirements
 
 
 
 <ul>
 <li>
 7+ years of experience in
 
 Applied AI
 
 , machine learning engineering, or software engineering roles
 </li>
 <li>
 Strong programming skills in Python, with solid software engineering fundamentals including system design, testing, and performance optimisation
 </li>
 <li>
 Proven experience building and deploying AI/ML systems in production environments
 </li>
 <li>
 Hands-on experience working with large language models and deploying LLM-powered applications
 </li>
 <li>
 Strong understanding of the challenges of deploying AI systems in production, including latency, reliability, and model behaviour
 </li>
 <li>
 Experience designing scalable, reliable, and high-performance systems
 </li>
 </ul>
 
 
 
 
 
 
 Preferred experience:
 
 
 
 <ul>
 <li>
 Experience building RAG systems end-to-end, including retrieval pipelines and vector search
 </li>
 <li>
 Familiarity with agent-based frameworks such as LangChain, LangGraph, AutoGen, or similar
 </li>
 <li>
 Experience designing evaluation frameworks for AI systems, including performance monitoring and regression detection
 </li>
 <li>
 Exposure to conversational AI systems, including speech or real-time interaction pipelines
 </li>
 <li>
 Experience working with modern AI inference infrastructure and deployment environments
 </li>
 </ul>
 
 
 
</div>

Applied AI Engineer

Thinkn

<div>
 
 
 About Thinkn
 
 
 
 
 
 
 Thinkn is a technology company focused on building and deploying digital infrastructure across multiple industries, including government systems, financial platforms, and emerging digital asset solutions.
 
 
 
 
 
 We work closely with governments and enterprise partners to design, develop, and implement scalable digital platforms, ranging from national-level infrastructure to private-sector innovation projects. Our focus is on delivering practical, high-impact solutions that combine technology, efficiency, and long-term value.
 
 
 
 
 
 As part of our growth, we are strengthening our finance function to support operational scale, financial control, and compliance across multiple entities and jurisdictions.
 
 
 
 
 
 ----
 
 
 
 
 
 
 Our Needs
 
 
 
 
 
 
 We are seeking a Full Stack Engineer to join our engineering team. This role will be essential in developing scalable applications, delivering new product features, and supporting the continued growth of our platforms. You will work across key technical areas including frontend development, backend services, APIs, system architecture, and AI-powered solutions, bringing flexibility and value across the business.
 
 
 
 
 
 You'll be responsible for developing and maintaining robust applications, designing efficient data structures, and building high-quality user experiences. You'll work closely with our product and engineering teams and will play a hands-on role in delivering features, integrating systems, and improving development workflows.
 
 
 
 
 
 We are looking for someone who embraces AI as part of their day-to-day development process and is comfortable working with modern AI tools, coding assistants, and AI agents. This role requires someone who can work independently, proactively identify improvements, and contribute meaningfully to both product development and technical innovation.
 
 
 
 
 
 Our headquarters are based in Dubai. While this role is remote-friendly, preference will be given to candidates already based in, or willing to relocate to Dubai. For the right candidate, we are open to fully remote arrangements.
 
 
 
 
 
 ----
 
 
 
 
 
 
 Responsibilities
 
 :
 
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design, develop, and maintain scalable web applications across both frontend and backend systems
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Build and maintain APIs, integrations, and backend services that support business and product requirements
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Develop intuitive, responsive, and high-quality user interfaces using modern frontend frameworks
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design and optimise application architecture, data models, and system performance
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Work closely with product, design, and engineering teams to deliver new features and enhancements
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Leverage AI tools, coding assistants, and agent-based workflows to improve development efficiency and software quality
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Develop and integrate AI-powered features, automations, and workflows into products and internal systems
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Maintain and improve CI/CD pipelines, testing processes, and deployment workflows
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Troubleshoot, debug, and resolve issues across the full technology stack
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Maintain documentation for applications, integrations, and technical processes
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Continuously identify opportunities to improve applications, development workflows, and system performance
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Contribute to technical decision-making, architecture discussions, and product innovation initiatives
 
 
 
 
 
 ----
 
 
 
 
 
 
 Qualifications
 
 :
 
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;5+ years of hands-on experience in full-stack software development
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong experience with modern frontend and backend frameworks and technologies
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience designing, building, and maintaining scalable web applications and APIs
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proficiency with one or more cloud platforms (AWS, Azure, GCP)
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with containerisation technologies such as Docker
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong knowledge of Git, version control, and collaborative development workflows
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience working with databases, system integrations, and application architecture
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience using AI-assisted development tools such as ChatGPT, Claude, Cursor, GitHub Copilot, or similar
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Understanding of AI agents, LLM integrations, prompt engineering, and AI-powered workflows
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience building or integrating AI-powered features, automations, or agent-based solutions is highly desirable
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong problem-solving skills and the ability to work independently in a fast-paced environment
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Understanding of security principles and best practices for modern web applications
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong communication skills and ability to collaborate across product, design, and engineering teams
 
 
 
 
 
 ----
 
 
 
 
 
 Thinkn is committed to equal opportunity for all, regardless of gender, age, disability, race, ethnicity, religion, political beliefs, marital status, or sexual orientation. We value diversity and encourage applicants from all backgrounds to apply.
 
 
 
 
</div>

Full Stack Engineer

Arcus Search

<div>
 
 This is a contract role - Remote - Upto 30,000 AED/ month
 
 
 
 
 
 
 
 
 Senior LLM / AI Engineer &ndash; Agentic AI &amp; Platform Engineering
 
 
 
 
 
 
 Role Summary
 
 
 
 We are building an AI-powered enterprise platform that uses agentic AI to transform unstructured domain data into structured, actionable intelligence. As a Senior LLM / AI Engineer, you will design and build the core AI orchestration layer: multi-agent workflows, retrieval-augmented generation pipelines, tool-calling infrastructure, and the deterministic reasoning systems that make LLM outputs reliable enough for production use.
 
 
 
 
 
 This is not a research role. You will build production application services that real users depend on. You need to be equally strong in LLM engineering (prompting, structured outputs, evaluation) and software engineering (APIs, databases, deployment). We are looking for someone who can architect an agentic system from scratch, implement it in FastAPI, evaluate it rigorously, and operate it in production.
 
 
 
 
 
 
 Key Responsib
 
 ilities
 
 
 
 
 
 Agentic AI &amp; Multi-Agent Orches
 
 tration
 
 
 
 
 <ul>
 <li>
 Design and implement multi-agent systems where specialised agents collaborate on complex tasks: planning agents, execution agents, validation agents, and human-in-the-loop review steps
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Build agentic workflows using LangGraph, LangChain, or custom state machines with clear state management, conditional routing, retry logic, and graceful failure handling
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Implement tool-calling infrastructure: define tool schemas, manage tool registries, handle tool execution with timeouts and error recovery
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Design context management strategies for long-running agent sessions: conversation memory, working memory, context window optimisation, token budget management, and multi-turn state t
 
 racking
 
 </li>
 </ul>
 
 
 
 
 
 RAG &amp; Knowledge R
 
 etrieval
 
 
 
 
 <ul>
 <li>
 Build and optimise retrieval-augmented generation (RAG) pipelines: document chunking strategies, embedding model selection, vector store management (FAISS, Qdrant, pgvector, Pinecone), and hybrid search
 </li>
 <li>
 Implement advanced RAG patterns: multi-hop reasoning, reranking, query decomposition, self-querying retrieval, and citation grounding
 </li>
 <li>
 Design and maintain knowledge indexing pipelines that ingest, transform, and index domain-specific data
 
 at scale
 
 </li>
 </ul>
 
 
 
 
 
 Deterministic Workflows &amp; Structur
 
 ed Output
 
 <ul>
 <li>
 Design deterministic workflows that guarantee consistent, reliable outputsfrom LLMs
 </li>
 <li>
 Implement comprehensive input/output validation using Pydantic models, JSON Schema constraints, and structured output parsing
 </li>
 <li>
 Build hybrid pipelines combining deterministic business logic with LLM-powered
 
 reasoning
 
 </li>
 </ul>
 
 
 
 
 
 Evaluation, Testing &amp; Op
 
 timisation
 
 <ul>
 <li>
 Build evaluation frameworks for LLM-powered features: automated test suites, regression benchmarks, and continuous production monitoring
 </li>
 <li>
 Implement token optimisation strategies: prompt compression, caching, response streaming, batching, and model selection
 </li>
 <li>
 Design A/B testing infrastructure for prompt variants, model versions, and pipeline conf
 
 igurations
 
 </li>
 </ul>
 
 
 
 
 
 Platform &amp; Application
 
 Development
 
 <ul>
 <li>
 Build production APIs using FastAPI: endpoint design, async handlers, WebSocket/SSE for streaming responses, and graceful degradation
 </li>
 <li>
 Design and implement MCP (Model Context Protocol) server setups for standardised tool integration
 </li>
 <li>
 Work with PostgreSQL, Redis, and Elasticsearch for application state, caching, and search
 </li>
 <li>
 Containerise AI services with Docker and collaborate with DevOps on Kubernetes deployment
 </li>
 </ul>
 
 and scaling
 
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 4+ years of software engineering experience, with at least 2 years focused on LLM-powered application developmentin production
 </li>
 <li>
 Strong proficiency in Python; experience with FastAPI or similar async frameworks required
 </li>
 <li>
 Deep hands-on experience with agentic AI frameworks: LangGraph, LangChain, or custom agent architectures
 </li>
 <li>
 Proven experience building RAG systems: embedding pipelines, vector databases, retrieval strategies, and multi-hop reasoning
 </li>
 <li>
 Strong understanding of LLM fundamentals: prompting, structured output, token management, and model selection trade-offs
 </li>
 <li>
 Working knowledge of PostgreSQL, Redis, and at least one vector database
 </li>
 <li>
 Experience with evaluation and testing of LLM outputs in production environments
 </li>
 <li>
 Solid understanding of REST APIs, WebSockets, and API lifecycle management
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Experience with MCP architecture: building MCP servers and integrating external systems
 </li>
 </ul>
 
 as agent tools
 
 <ul>
 <li>
 Familiarity with parameter-efficient fine-tuning methods (LoRA, QLoRA)
 </li>
 <li>
 Experience building multi-tenant AI applications with organisation-
 </li>
 <li>
 level isolation
 </li>
 <li>
 LLM observability experience: tracing, token usage tracking, latency profiling
 </li>
 <li>
 Familiarity with Elasticsearch and hybrid search(BM25 + vector)
 </li>
 <li>
 Cloud deployment experience (AWS preferred): EKS,S3, SQS, Lambda
 </li>
 <li>
 Contributions to open-source AI/LLM projects or published work in NLP or agentic AI
 </li>
 </ul>
</div>

Senior AI Engineer

Explore 1150+ Ai software engineer in United Arab Emirates this July. Find roles across top companies and apply now to boost your career.

1150 ai software engineer jobs In United Arab Emirates

AI Software Engineer

AI Software Engineer

Senior Consultant - AI Software Engineer- AI Hub - Dubai

AI Engineer (6 months contract)

Applied AI Engineer

Full Stack Engineer

Senior AI Engineer