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Atain

<div>
 
 
 Job Title: AI Engineer &ndash; Azure Databricks | Agentic AI | MCP Servers
 
 
 
 
 Experience:
 
 7&ndash;12 Years
 
 
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 
 
 Job Summary
 
 
 
 
 
 
 We are looking for an experienced
 
 AI Engineer
 
 with strong expertise in
 
 Azure Databricks, Agentic AI, and Model Context Protocol (MCP) Servers
 
 to design and develop next-generation AI solutions for enterprise applications. The ideal candidate will have hands-on experience in building LLM-powered applications, multi-agent systems, and scalable AI data pipelines. Experience in the
 
 Revenue Management domain
 
 is a strong advantage.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI solutions using
 
 Azure Databricks
 
 , Python, and modern AI frameworks.
 </li>
 <li>
 Build and orchestrate
 
 Agentic AI
 
 applications using multi-agent architectures and autonomous workflows.
 </li>
 <li>
 Develop, integrate, and manage
 
 Model Context Protocol (MCP) Servers
 
 for secure tool and data access.
 </li>
 <li>
 Design and implement
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines for enterprise AI applications.
 </li>
 <li>
 Fine-tune, evaluate, and optimize Large Language Models (LLMs) for business use cases.
 </li>
 <li>
 Build scalable data pipelines using
 
 PySpark
 
 , SQL, and Delta Lake on Azure Databricks.
 </li>
 <li>
 Integrate AI applications with enterprise systems, APIs, and cloud services.
 </li>
 <li>
 Collaborate with data engineers, product teams, and business stakeholders to deliver AI-driven solutions.
 </li>
 <li>
 Monitor AI model performance, ensure governance, security, and responsible AI practices.
 </li>
 <li>
 Stay updated with emerging AI technologies and recommend innovative solutions.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 7&ndash;12 years of overall IT experience with strong AI/ML development expertise.
 </li>
 <li>
 Hands-on experience with
 
 Azure Databricks
 
 ,
 
 PySpark
 
 , Python, and SQL.
 </li>
 <li>
 Strong experience building
 
 Agentic AI
 
 solutions and multi-agent orchestration.
 </li>
 <li>
 Experience developing and deploying
 
 MCP Servers
 
 .
 </li>
 <li>
 Expertise in
 
 Large Language Models (LLMs)
 
 , Prompt Engineering, RAG, Vector Databases, and AI orchestration frameworks.
 </li>
 <li>
 Experience with
 
 Azure AI Services
 
 , Azure OpenAI, or similar cloud AI platforms.
 </li>
 <li>
 Knowledge of REST APIs, microservices, and cloud-native architectures.
 </li>
 <li>
 Strong problem-solving skills and ability to work in Agile environments.
 </li>
 </ul>
 
 
 
 
 
 About Atain:
 
 
 
 
 
 
 
 (http://www.atain.com)
 
 
 
 Atain is an enterprise orchestration partner that aligns people, processes, and platforms with AI to redefine work and deliver assured outcomes. It is enabled through the SMART Frameworkdriving superior metrics with AI-redefined work, the TechBud platform, a GenAI foundation built on zero-pilot architecture and ISO 42001 standards, a robust partner ecosystem, and deep domain expertise. Atain's Unified Hub continuously senses, predicts, and re-orchestrates work across people, processes, and platforms to deliver assured outcomes. The centers of skill and scale combine deep expertise with AI to deliver assured outcomes. For more information, visit www.atain.com
 
 
 
 
 
 Atain is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements.
 
 
 
 
 
 It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
 
</div>

Artificial Intelligence 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

DICETEK LLC

<div>The AI Engineer will be responsible for the design, development, deployment, and support of AI-driven solutions within the Global Markets domain. The role requires strong technical expertise in machine learning, generative AI, and agentic AI frameworks, with a focus on delivering scalable, secure, and future-proof solutions aligned with enterprise architecture standards.
The candidate should possess a bachelor&rsquo;s degree in information systems
General expectation:<ul><li>Collaborate with business and technology stakeholders to understand analytical needs and translate them into AI solutions.</li><li>Design and implement AI/ML pipelines, including data ingestion, model training, evaluation, and deployment.</li><li>Develop and maintain GenAI and agentic AI applications using modern frameworks and cloud-native tools.</li><li>Ensure solutions are aligned with enterprise AI governance, security, and compliance standards.</li><li>Provide production support and continuous improvement for deployed models and applications.</li></ul>
- Contribute to knowledge sharing and capability building within the team.- Respect timelines<ul><li>Good communication skills</li></ul> 
Skillset and experience:<ul><li>8+ years of experience in AI/ML engineering, with recent focus on GenAI and agentic AI.</li><li>Hands-on experience on AWS and Azure.</li><li>Hands-on experience with CrewAI, LangChain, LangGraph, RAG pipelines, and LLM fine-tuning.</li><li>Strong programming skills in Python and experience with FastAPI, REST APIs, and microservices.</li><li>Proficiency in cloud platforms (AWS, Azure) and MLOps tools (Vertex AI, SageMaker, MLflow).</li><li>Experience with DevOps practices including CI/CD, containerization (Docker), and infrastructure-as-code (Terraform, CloudFormation).</li><li>Familiarity with vector databases (e.g., FAISS, ChromaDB) and graph-based reasoning (e.g., Neo4j).</li></ul>
Exposure to financial services or Global Markets, specifically Murex is a plus.</div>

AI Engineer – Global Markets

D4 Insight

<div>
 
 Location:
 
 Abu Dhabi
 
 
 
 Experience:
 
 5+ Years
 
 
 
 Role Overview
 
 
 
 This role focuses on building scalable Agentic AI platforms for enterprise banking use cases. Engineers will develop orchestration frameworks, AI pipelines, and governance controls supporting production AI systems.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build multi-agent AI workflows.
 </li>
 <li>
 Develop LLM pipelines and prompt frameworks.
 </li>
 <li>
 Implement AI safety, validation, and governance controls.
 </li>
 <li>
 Support Azure AI integrations and orchestration layers.
 </li>
 <li>
 Build scalable production AI solutions.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 LangGraph
 </li>
 <li>
 Agentic AI
 </li>
 <li>
 Azure AI
 </li>
 <li>
 Prompt Engineering
 </li>
 <li>
 APIs &amp; Workflow Automation
 
 
 </li>
 </ul>
 📩
 
 Apply Now: careers@d4insight.com
 
</div>

AI Engineers – Agentic AI Platform

<div>Location: Abu Dhabi 
Experience: 5+ Years
<h3 class="jobSectionHeader">
Role Overview:</h3>

This role focuses on building scalable Agentic AI platforms for enterprise banking use cases. Engineers will develop orchestration frameworks, AI pipelines, and governance controls supporting production AI systems.
<h3 class="jobSectionHeader">
Key Responsibilities:</h3>
<ul><li>Build multi-agent AI workflows.</li>
<li>Develop LLM pipelines and prompt frameworks.</li>
<li>Implement AI safety, validation, and governance controls.</li>
<li>Support Azure AI integrations and orchestration layers.</li>
<li>Build scalable production AI solutions.</li>
</ul><h3 class="jobSectionHeader">Required Skills:</h3>
<ul><li>Python</li>
<li>LangGraph</li>
<li>Agentic AI</li>
<li>Azure AI</li>
<li>Prompt Engineering</li>
<li>APIs &amp; Workflow Automation</li>
</ul>
 Apply Now: [email protected]</div>

<div>Location: Abu Dhabi 
Experience: 5+ Years
<h3 class="jobSectionHeader">
Role Overview:</h3>

We are seeking AI Engineer to build and orchestrate advanced Agentic AI solutions within a banking AI Center of Excellence. The role focuses on Intelligent Document Processing (IDP), LLM-powered workflows, LangGraph orchestration, and enterprise AI deployments.
<h3 class="jobSectionHeader">
Key Responsibilities:</h3>
<ul><li>Design and develop Agentic AI workflows using LangGraph.</li>
<li>Build LLM-powered extraction and document processing pipelines.</li>
<li>Integrate Azure AI services, APIs, and MCP tools.</li>
<li>Implement HITL (Human-in-the-Loop) validation mechanisms.</li>
<li>Define prompt governance, model evaluation, and AI guardrails.</li>
<li>Collaborate with business teams to translate banking requirements into AI solutions.</li>
</ul><h3 class="jobSectionHeader">Required Skills:</h3>
<ul><li>Python</li>
<li>LangGraph &amp; Agentic AI Frameworks</li>
<li>Azure AI Services</li>
<li>Prompt Engineering</li>
<li>APIs &amp; Integrations</li>
<li>AI Evaluation Frameworks</li>
</ul>
 Apply Now: [email protected]</div>

AI Engineer – Agentic AI & Intelligent Document Processing

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

Explore 317+ Agentic ai engineer in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.

317 agentic ai engineer jobs In Abu Dhabi

Artificial Intelligence Engineer

Senior AI Engineer

AI Engineer – Global Markets

AI Engineers – Agentic AI Platform

AI Engineers – Agentic AI Platform

AI Engineer – Agentic AI & Intelligent Document Processing

Senior Full Stack Engineer