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senior ai engineer

Fecundity Technologies

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

Senior AI Engineer

Dizzaract FZ LLC

<p>01. ABOUT THE COMPANY</p><p><b>Dizzaract</b> is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not theirorigin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.</p><p>02. ABOUT THE ROLE</p><p>We&rsquo;re looking for a <b>Senior AI Engineer</b> to design and ship production AI systems powering GAMED.</p><p>This role focuses on applied AI &mdash; not research for the sake of research. You&rsquo;ll work on recommendation systems, AI-driven moderation, retrieval systems, agentic workflows, ranking systems, and player-facing AI features integrated directly into the product ecosystem.<br/>You&rsquo;ll collaborate closely with Backend, Product, and Infrastructure teams to build scalable AI systems used by real users.</p><p>03. WHO YOU ARE</p><ul><li>You think pragmatically about AI products and infrastructure.</li><li>You care about reliability, evaluation, and production quality.</li><li>You&rsquo;re comfortable building systems from experimentation to deployment.</li><li>You understand both model quality and infrastructure cost.</li><li>You enjoy solving applied ML problems in live environments.</li></ul><p>04. RESPONSIBILITIES</p><ul><li>Design and deploy AI-powered product features.</li><li>Build recommendation, ranking, moderation, and agent systems.</li><li>Develop and optimize RAG pipelines.</li><li>Work with modern LLM ecosystems and open-weight models.</li><li>Design evaluation frameworks and testing pipelines.</li><li>Optimize inference, retrieval, and deployment performance.</li><li>Collaborate closely with backend and infrastructure teams.</li></ul><p>05. REQUIREMENTS</p><ul><li>5+ years in engineering.</li><li>3+ years building applied ML/AI systems in production.</li><li>Strong Python expertise.</li><li>Experience with PyTorch or JAX.</li><li>Experience with LLMs, RAG, and agent systems.</li><li>Experience with vector databases and retrieval systems.</li><li>Understanding of model evaluation and deployment strategies.</li><li>Experience balancing quality, latency, and infrastructure cost.</li></ul><p>06. NICE TO HAVE</p><ul><li>RLHF / DPO / PPO experience.</li><li>Multi-agent systems.</li><li>Recommender systems at scale.</li><li>MLOps tooling.</li><li>AI safety / red-teaming experience.</li></ul><p>07. WHAT WE OFFER</p><ul><li>Real ownership and direct impact on a global AI infrastructure product.</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team.</li><li>Exposure to cutting-edge AI, gaming platforms, and digital asset economies.</li><li>Competitive salary with performance-based incentives.</li><li>24 days annual leave, plus public holidays.</li><li>Health insurance.</li><li>Modern office in Yas Creative Hub.</li><li>Continuous learning through real-world problem solving &mdash; not just theory.</li><li>The opportunity to shape what you're working on and influence product direction.</li><li>A diverse, open-minded team where ideas are genuinely heard.</li></ul><p>Work Location: In person</p>

Deeplight

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.</p><p>
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.</p><p>
As a Senior AI Engineer, you will drive the design, development, and deployment of production-grade Artificial Intelligence and Generative AI solutions. This role sits at the intersection of cutting-edge research and enterprise-scale application engineering, specifically focused on delivering high-impact, secure, and performant intelligent systems for premier clients in regulated spaces like financial services and banking.</p><p>
You will act as a technical pillar within the AI squad&mdash;collaborating with Data Architects, UI Engineers, and delivery leads to transform complex business requirements into robust, production-ready AI agents and pipelines. This role demands exceptional technical mastery, a deep commitment to architectural integrity, and a proactive approach to solving ambiguous data challenges.</p>
Key ResponsibilitiesGenerative &amp; Agentic AI Engineering<ul><li>
Cognitive Systems Architecture: Design, build, and optimize enterprise-grade Generative AI applications and multi-agent frameworks capable of complex reasoning and autonomous task execution.</li><li>
Knowledge Retrieval Systems: Architect and maintain scalable Retrieval-Augmented Generation (RAG) pipelines utilizing advanced vector databases and semantic search strategies.</li><li>
Advanced Prompt Engineering: Develop and systematically evaluate advanced prompting techniques, guardrails, and context-window management strategies to ensure predictable, secure model behavior.</li></ul>
Deep Learning &amp; Model Optimization<ul><li>
Core Modeling &amp; Execution: Train, fine-tune, and deploy deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) domains.</li><li>
Open-Source &amp; Cloud Integration: Evaluate and deploy both proprietary cloud models (e.g., GPT, Claude) and open-source foundation models, balancing performance, latency, and cost.</li><li>
Edge &amp; Inference Optimization: Convert and optimize models for efficient production deployment and runtime inference using formats like ONNX.</li></ul>
Data &amp; MLOps Infrastructure<ul><li>
Data Processing Pipelines: Architect and refine complex, highly performant data preprocessing and feature engineering pipelines for unstructured and structured data.</li><li>
Database Governance: Design and optimize high-throughput queries across relational SQL databases and specialized NoSQL/Vector data stores.</li><li>
Rigorous Evaluation: Establish robust, data-driven model evaluation frameworks to continuously benchmark accuracy, drift, latency, and safety in production.</li></ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.
</i><br>
<i>While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
</i><br>
<i>We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
</i><br>
<i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
</i><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><p></p><b><br>
Requirements</b><p><br>
We need you to have:</p><p></p><ul><li>
A proven track record of designing, evaluating, and operating AI/ML models in high-availability enterprise or production environments.</li><li>
Demonstrated professional or research experience spanning both Natural Language Processing (NLP) and Computer Vision (CV).</li><li>
Hands-on experience leveraging enterprise cloud AI infrastructures (such as Azure AI Studio or AWS Bedrock) to deploy foundation models.</li></ul>
AI, Modeling &amp; Frameworks<ul><li>
Deep conceptual and practical understanding of Large Language Models (LLMs), agentic workflows, function calling, and embedding models.</li><li>
Expert proficiency in PyTorch and TensorFlow for building, training, and troubleshooting deep neural networks.</li><li>
A practical understanding of model compilation, quantization, and deployment optimization via ONNX runtime.</li><li>
High proficiency in configuring and querying Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss) alongside extensive knowledge of enterprise SQL and NoSQL architectures.</li></ul>
Software Engineering &amp; Core Tools<ul><li>
Perfect-tier coding skills in Python, with a command of asynchronous programming, design patterns, and clean, modular code architecture.</li><li>
Advanced capabilities in processing massive datasets utilizing standard data ecosystems (e.g., Pandas, NumPy, Polars, or PySpark)</li></ul><p></p><p>
It would also be great if you had:</p><br>
<ul><li>
An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a highly related quantitative field.</li><li>
Prior experience engineering AI solutions within banking, fintech, or highly regulated corporate environments (e.g., familiarity with data privacy, compliance, and secure financial data models).</li><li>
Familiarity with framework libraries such as LangChain, LlamaIndex, or AutoGen for agentic workflow construction.</li></ul><br>
<b>
Benefits</b><p><b><br>
The benefits you'll enjoy as part of this role include:</b></p><br>
<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><p><i><br>
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.</i><br>
<br>
<i>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.</i></p><p><i>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</i></p><p><i>
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.</i></p></div>

Unikie

<div><div><div><div><div><div><h4 class="jobSectionHeader"><b>WE ARE LOOKING FOR</b></h4>
<h4 class="jobSectionHeader"><b>JOB NAME</b></h4>
<p>We are looking for <b>JOB NAME</b> to our #COMPANYAllStars team. You will start your journey either in a selected customer project or in COMPANY&rsquo;s internal product development team, depending on your profile and available opportunities
<br>
<br>
Your future colleagues are waiting for you to join our international team. Working with us is uncomplicated, there&rsquo;s a good team spirit, low-hierarchy and nonexistent bureaucracy. Our way of working is flexible too, many of our team work remotely from home with visits to our office from time to time when needed. This role is equally challenging, and as such we offer a very good compensation.</p>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Skills Required
</b></h4><div><div><div><div><div><h4 class="jobSectionHeader"><b>Locations</b></h4>
</div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><h4 class="jobSectionHeader"><b>REQUIRED QUALIFICATIONS</b></h4>
<p>COMPANY hires embedded system developers for multiple positions and projects, and that is why we have a possibility to be flexible with you and allocate you to the project that matches the best with your background, skills and areas of interest.
<br>
<br>
The common requirements for most of our embedded system positions are strong skills in embedded C/C++ preferably with embedded Linux. You could have worked in low level with microcontrollers and RTOS or you might have focused on drivers, kernel and platform level development. Also experience from Qt, QML and/or QNX is seen as a plus. Or maybe your expertise area is more in application side development, which is okay too!
<br>
<br>
In order to find the right position for you, please introduce yourself to COMPANY's recruitment team and describe your experience and areas of interest. The potential candidates will be invited to an interview for further discussion.</p><br>
</div></div></div></div></div><div><div><div><div>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>WHY JOIN COMPANY_NAME?</b></h2><br>
<br>
<div><div><p>Build new solutions for our customers and work with cutting edge technologies</p><br>
</div><div><p>Collaborate along with colleagues who are the top in their field and together with our customers to strive for understanding what they need</p><br>
</div><div><p>Develop and challenge yourself and learn more from experienced software talents</p><br>
</div><div><p>Work with modern technologies and be involved to solve complex difficult challenges our customers might be facing</p><br>
</div></div><div><div><p>Have an excellent compensation for your work</p><br>
</div><div><p>Work in a global environment that develops modern, secure solutions for pioneers in their field</p><br>
</div><div><p>Work in a flexible low-hierarchy organization that looks after its own</p><br>
</div><div><p>In addition to our customer deliveries, we focus on our own R&amp;D, where you can bring your own expertise to if you want to</p>
</div></div></div><div></div><div><div><p>COMPANY is a pioneering engineering company focused on enabling smart spaces. We bring intelligence and continuous situational awareness to machines, vehicles and infrastructure and offer the best software, data, security and quality engineering to create safer and more productive environments for people and business. Enabled by the technology we create, and the competence we offer, our clients become digital leaders in their own industries. COMPANY consists of over 600 engineering professionals and our revenue in 2022 was 56 million euros.</p></div></div></div></div>

Senior AI Engineer - Agent AI

D4 Insight

<div><p><b>Location:</b> Abu Dhabi<br>
<b>Experience:</b> 7+ Years</p>
<h3 class="jobSectionHeader"><b>
Role Overview:</b></h3>
<p>
We are seeking Senior AI Ops Engineer to design secure hybrid cloud architectures supporting AI and banking workloads across Azure and AWS environments.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3>
<ul><li>Design Azure and AWS cloud architectures.</li>
<li>Implement governance, security, and compliance controls.</li>
<li>Lead FinOps and cloud optimization initiatives.</li>
<li>Define HLD/LLD architecture standards.</li>
<li>Mentor engineering teams and engage stakeholders.</li>
</ul><h3 class="jobSectionHeader"><b>Required Skills:</b></h3>
<ul><li>Azure &amp; AWS</li>
<li>Cloud Architecture</li>
<li>Security &amp; Compliance</li>
<li>FinOps</li>
<li>DevOps</li>
<li>Enterprise Governance</li>
</ul>
<p> <b>Apply Now: </b><b>[email protected]</b></p></div>

Senior AI Ops Engineer – DevOps / Cloud Architecture

AppliedAI

<div>
 <p>
  <strong>
   AI Engineer
  </strong>
 </p>
 <p>
  On-site | Abu Dhabi
 </p>
 <p>
  <br/>
 </p>
 <p>
  AppliedAI is a pioneering AI technology company headquartered in Abu Dhabi, committed to innovation and excellence in artificial intelligence solutions in regulated industries such as healthcare, insurance, government, and financial services.
  <strong>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Opus is the world's first
  <strong>
   Knowledge Work AI platform
  </strong>
  . Built by AppliedAI to pioneer
  <strong>
   Supervised Automation
  </strong>
  , a human-in-the-loop model where AI handles repetitive, structured tasks while human experts provide crucial oversight at defined intervals.
  <strong>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The platform uses its proprietary
  <strong>
   Large Work Model
  </strong>
  to generate and orchestrate outcome-based workflows, enabling a dramatic reduction in the cost of knowledge work and allowing human talent to focus on high-value, creative, and judgement-intensive activities.
  <strong>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Overview:
  </strong>
  <strong>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  As an Opus AI Engineer, you will contribute to the development, optimization, and reliability of Opus&rsquo;s AI infrastructure. You&rsquo;ll work in a cross-functional UAE-based team to build, maintain, and improve the systems that power Opus&rsquo;s AI features, from inference pipelines and workflow orchestration to prompt alignment and agentic integrations.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Your focus will be on implementing clean, efficient, and observable systems that ensure Opus&rsquo;s AI features deliver consistent, high-quality performance for users.
 </p>
 <p>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Develop and maintain AI inference and orchestration pipelines used in production.
  </li>
  <li>
   Optimize model-serving performance, latency, and reliability across live systems.
  </li>
  <li>
   Implement observability, logging, and monitoring for AI components.
  </li>
  <li>
   Contribute to prompt and alignment improvements to enhance response quality and consistency.
  </li>
  <li>
   Refactor existing code for modularity, clarity, and maintainability.
  </li>
  <li>
   Collaborate with senior engineers and product teams to deliver stable, user-facing AI features.
  </li>
  <li>
   Participate in design reviews, testing, and rollout of new systems and improvements.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   2 - 4 years of experience in ML or backend engineering.
  </li>
  <li>
   1+ years working on LLM prompt design, model behavior shaping, or symbolic product-logic integration into language systems.
  </li>
  <li>
   Strong Python programming skills and understanding of production ML systems.
  </li>
  <li>
   Familiar with orchestration tools (Airflow, Celery, Kubernetes) and cloud environments (AWS, GCP, Azure).
  </li>
  <li>
   Experience deploying and monitoring inference pipelines (e.g. LLMs, CV models, or similar APIs).
  </li>
  <li>
   Knowledge of observability tools and performance debugging.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why join AppliedAI:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Opportunity to work with a highly innovative AI technology company.
  </li>
  <li>
   Collaborative and innovative work environment.
  </li>
  <li>
   Growing, entrepreneurial and forward-thinking culture.
  </li>
  <li>
   Career growth and professional development opportunities.
  </li>
  <li>
   Exposure to a thriving ecosystem working from our Abu Dhabi HQ.
  </li>
 </ul>
</div>


AI Engineer

NorthBay - Pakistan

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 We are looking for a highly skilled Senior DevOps Engineer with extensive experience in designing, implementing, and managing large-scale, production-grade cloud environments. The ideal candidate will have strong expertise in Azure DevOps, cloud infrastructure, and modern DevOps practices with a focus on automation, security, and scalability.
 <br/>
 <br/>
 <strong>
  Key Skills &amp; Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Azure DevOps / CI/CD: Build, deploy, and maintain pipelines for complex applications.
  </li>
  <li>
   Must have experience working on Azure Cloud Infrastructure
  </li>
  <li>
   Managed Azure Cloud: Experience in high-scalable, production-grade Azure environments.
  </li>
  <li>
   DevSecOps: Implement security practices in CI/CD pipelines.
  </li>
  <li>
   MCP Server / Infrastructure Management
  </li>
  <li>
   LLM &amp; AI/ML Platforms: Experience with Azure AI Foundry, Azure Machine Learning infrastructure.
  </li>
  <li>
   Containerization &amp; Orchestration: Docker, Kubernetes, Helm, FluxCD, ArgoCD.
  </li>
  <li>
   Observability &amp; Monitoring: Dynatrace, Prometheus, Grafana, logging, metrics, and alerting.
  </li>
  <li>
   Code Quality &amp; Version Control: SonarQube, Git, GitHub.
  </li>
  <li>
   Automation &amp; Scripting: PowerShell, Python, or Bash.
  </li>
  <li>
   Strong problem-solving skills, troubleshooting production issues, and optimizing systems for performance and cost.
  </li>
  <li>
   Infrastructure as Code (Terraform, Bicep, ARM templates)
  </li>
  <li>
   Cloud security best practices
  </li>
  <li>
   Experience with microservices and serverless architectures
  </li>
  <li>
   Knowledge of Agile/DevOps culture and collaboration practices
  </li>
 </ul>
</div>


Devops Engineer - Azure

Explore 255+ Senior ai engineer in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.

255 senior ai engineer jobs In Abu Dhabi

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer - Agent AI

Senior AI Ops Engineer – DevOps / Cloud Architecture

AI Engineer

Devops Engineer - Azure