ai engineer

DSI WLL

<p>We are seeking an <b>AI Engineer</b> to design, build, and deploy intelligent systems that support real-world business operations. This role goes beyond experimentation&mdash;you will work on production-grade AI solutions that directly impact efficiency, insight, and quality across the organization.</p><p>You will collaborate closely with leadership, designers, and operations teams to translate ideas into reliable, scalable AI systems.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and deploy AI/ML models for business and operational use cases</li><li>Build and maintain data pipelines, model training workflows, and inference systems</li><li>Work with structured and unstructured data (text, images, operational data)</li><li>Integrate AI solutions into existing systems (ERP, internal tools, automation pipelines)</li><li>Optimize models for performance, reliability, and cost efficiency</li><li>Monitor, evaluate, and continuously improve deployed models</li><li>Stay current with advancements in AI, ML, and applied intelligence</li></ul><p><b>Required Qualifications</b></p><ul><li>Strong experience in <b>Python</b> and AI/ML frameworks (TensorFlow, PyTorch, or similar)</li><li>Solid understanding of machine learning, deep learning, and data modeling</li><li>Experience deploying models to production environments</li><li>Familiarity with APIs, microservices, and system integration</li><li>Ability to translate business problems into AI-driven solutions</li><li>Strong analytical thinking and attention to detail</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience with <b>LLMs</b>, NLP, or computer vision</li><li>Experience integrating AI with <b>ERP systems</b> or operational platforms</li><li>Knowledge of cloud platforms (AWS, GCP, or Azure)</li><li>Experience with automation, agents, or decision-support systems</li><li>Background in startup, product-driven, or innovation-focused environments</li></ul><p>Job Types: Full-time, Permanent</p><p>Application Question(s):</p><ul><li>Have you deployed AI/ML models into a production environment used by real users or business operations?</li><li>Which tools or frameworks have you used professionally?</li><li>How many years of hands-on experience do you have building and deploying AI or machine learning models?</li><li>Can you describe a project where you integrated APIs for automation or AI chatbots?</li></ul>

AI Engineer

HR Ways

<p><b>Role Overview &ndash; AI Engineer | Automations &amp; APIs</b></p><p><b>About the Role: </b>We are seeking an AI Engineer with a passion for automations and APIs to join our growing team. You will work on designing, building, and optimizing automation solutions and API integrations that drive efficiency and innovation. This is an excellent opportunity for someone with foundational project experience who is eager to deepen their expertise in AI-driven automation and API architecture.</p><p><b>Key Responsibilities:</b></p><ul><li>Design and develop automation solutions using AI/ML technologies.</li><li>Build and maintain robust APIs for internal and external integrations.</li><li>Collaborate with cross-functional teams to understand automation requirements.</li><li>Optimize existing automation workflows for performance and scalability.</li><li>Document code, APIs, and automation processes for team knowledge sharing.</li><li>Participate in code reviews and contribute to continuous improvement initiatives.</li><li>Troubleshoot and resolve issues in production automation systems.</li><li>Stay updated with emerging AI and automation technologies.</li></ul><p><b>Required Qualifications:</b></p><ul><li>Proven experience with at least 1-2 completed projects involving automations or APIs.</li><li>Strong programming skills in Python, JavaScript, or similar languages.</li><li>Solid understanding of REST APIs and API design principles.</li><li>Familiarity with automation frameworks and tools (e.g., Zapier, Make, n8n, or similar).</li><li>Basic knowledge of AI/ML concepts and their practical applications.</li><li>Experience with version control systems (Git).</li><li>Strong problem-solving skills and attention to detail.</li><li>Ability to work independently and as part of a team.</li></ul><p><b>What We're Looking For</b></p><p>Above all, we value candidates who are eager to learn and grow. You should demonstrate:</p><ul><li>A genuine curiosity about AI and automation technologies.</li><li>Willingness to take on challenging projects and expand your skill set.</li><li>Strong communication skills and the ability to ask for help when needed.</li><li>Proactive approach to professional development.</li><li>Collaborative mindset and openness to feedback.</li></ul><p><b>Other Details:</b><br/><b>﻿Experience: </b>﻿1-2 years<br/>﻿<b>﻿Location: </b>﻿Karachi (on-site)<br/>﻿<b>﻿Benefit: </b>﻿Female-friendly staff</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

The Coca-Cola Company

<div><div><div><div><div><div><div><div>Egypt
</div></div></div></div><div><div><div>Information Technology
</div></div></div><div><div><div>Hybrid
</div></div></div><div><div><div>Experienced Professionals
</div></div></div></div></div></div><p></p><div><div><div><div><div><p><b>Department: Data &amp; Automation</b></p><p><b>
Location: New Cairo, Egypt</b></p><p><b>
Purpose of the Role</b><br>
We are seeking a talented and motivated Artificial Intelligence (AI) Engineer to join our growing DTPS AI team. As an AI Engineer, you will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. You will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence.
</p><p>You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to bring AI-powered solutions to life.</p><p><b>
YOUR NEW KEY RESPONSIBILITIES:</b></p><ul><li>
Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI</li><li>
Create and manage the AI development and production infrastructure to support the AI initiatives</li><li>
Design, develop, and implement AI solutions to solve complex problems in various domains</li><li>
Automate AI infrastructures for the data science and platform teams.</li><li>
Built AI models from scratch and helped product managers and other stakeholders with analysis and implementation.</li><li>
Transform machine learning models into APIs that can be integrated with other applications.</li><li>
Collaborate across teams to help with AI adoption and best practices.</li><li>
Analyze and optimize AI solutions for performance and scalability.</li><li>
Stay up to date with the latest advancements in AI research and technologies.</li><li>
Participate in code and design reviews to maintain a high-quality codebase.</li><li>
 Communicate effectively with team members and stakeholders to ensure project success.</li></ul><p></p><p><b><br>
ARE THESE YOUR SECRET INGREDIENTS?</b></p><p></p><ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, or a related field.</li><li>
2 - 4 years of experience in AI, machine learning, or deep learning.</li><li>
Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.</li><li>
 Experience with Azure AI chatbots, Generative AI, and prompt engineering (Copilot).</li><li>
Solid understanding of AI models, neural networks, and machine learning concepts.</li><li>
Experience with natural language processing (NLP) and computer vision is a plus.</li><li>
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.</li><li>
Proven experience with Azure AI Services, (OpenAI, AI Search, AI speech, AI Document Intelligence, AI translator and AI language).</li><li>
Hands-on knowledge on (big) data engineering technologies (e.g., PySpark, Databricks</li><li>
Familiar with CI/CD, (Data) Quality Assurance and MLOps concepts and tools on similar use cases (e.g., Azure Machine Learning, mlflow)</li><li>
Hands-on knowledge of DevOps tools (Azure DevOps) supporting an Agile methodology for delivery</li><li>
Excellent problem-solving, analytical, and communication skills.</li><li>
Ability to work independently and as part of a team. Understanding of Agile methodology and SAFe Agile is appreciated</li><li>
Azure certification, such as Azure AI Engineer Associate, is a plus.</li></ul><p></p><p><b><br>
ABOUT YOUR NEW TEAM:</b></p><p>
We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC &ndash; one of the world&rsquo;s largest bottlers and partner of The Coca-Cola Company. Our everyday mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve.</p><p><b>
AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE</b></p><p>
Including and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone&rsquo;s unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value.</p><br>
<p></p>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3></div></div><div><div><div><div><div>Coaching and mentoring programs</div>
</div></div><div><div><div>Development opportunities</div>
</div></div><div><div><div>Equal opportunity employer</div>
</div></div><div><div><div>IT Equipment</div>
</div></div><div><div><div>Learning programs</div>
</div></div><div><div><div>Work with iconic brands</div>
</div></div><div><div><div>Supportive team</div>
</div></div><div><div><div>Volunteering Opportunities</div></div></div></div></div></div></div>

OneBullEx

<div><div>OneBullEx is transitioning into an AI exchange. As an AI Engineer in our Data &amp; AI department, you will not just manage tools; you will architect the autonomous systems that power our trading ecosystem. You will be responsible for deploying AI agents that can reason, execute code, and manage complex financial workflows with minimal human intervention.</div>
<p></p><h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li><div><b>Agentic System Development:</b> Architect and deploy multi-agent systems using frameworks like <b>LangGraph</b>, <b>CrewAI</b>, or <b>AutoGen</b> to automate exchange operations (e.g., automated risk assessment, fraud detection, and 24/7 liquidity monitoring).</div>
</li><li><div><b>AI-Driven Software Engineering:</b> Champion the use of <b>Claude Code</b>, <b>OpenAI Codex</b>, and <b>Cursor</b> to build and refactor exchange infrastructure. You are expected to use these tools to achieve a &quot;10x developer&quot; output, maintaining high-performance C++ or Python backends.</div>
</li><li><div><b>Protocol &amp; API Integration:</b> Implement the <b>Model Context Protocol (MCP)</b> to allow AI agents to securely interact with our internal trading engines, real-time market data feeds, and third-party DeFi protocols.</div>
</li><li><div><b>Prompt Engineering &amp; Logic Tuning:</b> Design sophisticated &quot;Chain-of-Thought&quot; and &quot;Plan-and-Execute&quot; reasoning paths to ensure agents remain reliable during high-volatility events in the crypto market.</div>
</li><li><div><b>Internal Tooling:</b> Build custom internal AI dashboards that allow other departments (Risk, Ops, BD, Marketing etc.) to spin up their own specialized &quot;micro-agents&quot; for specific tasks.</div>
</li></ul><p></p><h3 class="jobSectionHeader"><b>Candidate Requirements</b></h3>
<h4 class="jobSectionHeader"><b>Technical Skills (The &quot;Must-Haves&quot;)</b></h4>
<ul><li><div><b>Latest AI Tooling:</b> Deep, hands-on experience with <b>Claude Code</b>, <b>Codex</b>, and AI-native IDEs like <b>Cursor</b>.</div>
</li><li><div><b>Agentic Frameworks:</b> Proven ability to build autonomous agents using <b>LangGraph</b>, <b>AutoAgent</b>, or <b>Semantic Kernel</b>.</div>
</li><li><div><b>Advanced Prompting:</b> Mastery of <b>ReAct</b>, <b>Few-Shot</b>, and <b>System Persona</b> optimization to reduce hallucination in financial contexts.</div>
</li><li><div><b>Programming:</b> Proficiency in <b>Python</b> (specifically for AI/ML libraries) and an understanding of <b>Rust</b> or <b>Go</b> (for high-frequency exchange environments).</div>
</li></ul><h4 class="jobSectionHeader"><b>Preferred Background</b></h4>
<ul><li><div><b>Crypto/FinTech:</b> Familiarity with futures trading, perpetuals, or blockchain data structures (Web3.js, Ethers.js).</div>
</li><li><div><b>Security First:</b> Experience in &quot;Red Teaming&quot; AI agents to ensure they cannot be manipulated into unauthorized withdrawals or data leaks.</div>
</li><li><div><b>Education:</b> Bachelor's or Master's in Computer Science, Mathematics, or a related quantitative field.</div>
</li></ul><p></p><h3 class="jobSectionHeader"><b>The OneBullEx &quot;Edge&quot;</b></h3>
<ul><li><div><b>AI-Native Environment:</b> We don't just use AI to write emails; we use it to run the exchange. You will have the freedom to experiment with the latest models (Gemini 3, GPT-5, Claude 4.5+) as they launch.</div>
</li><li><div><b>Competitive Package:</b> Top-tier salary, performance bonuses tied to automation efficiency, and full relocation to the crypto-friendly hub of <b>Dubai</b>.</div>
</li><li><div><b>Remote Flexibility:</b> While we have a core team in Dubai, we are open to elite talent working remotely in compatible time zones.</div></li></ul></div>

Datamatics Global Services Ltd

<div><p><b>Job Title:</b> Agentic AI Engineer<br>
<b>Location:</b> Islamabad, Pakistan (Onsite)<br>
<b>Experience:</b> 7&ndash;8 Years<br>
<b>Employment Type:</b> Full-Time</p><h3 class="jobSectionHeader"><b>
Job Overview</b></h3><p>
We are looking for a highly skilled <b>Agentic AI Engineer</b> to design, build, and deploy intelligent AI agents capable of autonomous decision-making, workflow execution, and tool integration. The ideal candidate will have strong experience in AI/ML systems, LLM-based applications, and building multi-agent or autonomous AI solutions that solve real business problems.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li><p>
Design and develop <b>agentic AI systems</b> that can plan, reason, and execute tasks autonomously.</p></li><li><p>
Build and optimize applications using <b>Large Language Models (LLMs)</b> and advanced AI frameworks.</p></li><li><p>
Develop multi-agent architectures for complex workflows and decision-making processes.</p></li><li><p>
Integrate AI agents with enterprise tools, APIs, databases, and internal platforms.</p></li><li><p>
Implement memory, planning, retrieval, and tool-use capabilities in AI agents.</p></li><li><p>
Work closely with product, engineering, and business teams to identify AI automation opportunities.</p></li><li><p>
Ensure scalability, security, and performance of AI systems in production.</p></li><li><p>
Continuously evaluate new AI frameworks, models, and techniques to improve solutions.</p></li></ul><h3 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h3><ul><li><p>
7&ndash;8 years of experience in <b>AI/ML, software engineering, or applied AI development</b>.</p></li><li><p>
Strong programming experience in <b>Python</b>.</p></li><li><p>
Hands-on experience with <b>LLMs and AI frameworks</b> such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar.</p></li><li><p>
Experience with <b>RAG architectures</b>, vector databases, and embeddings.</p></li><li><p>
Familiarity with <b>OpenAI, open-source LLMs, or similar AI model ecosystems</b>.</p></li><li><p>
Experience building <b>AI agents, automation workflows, or intelligent assistants</b>.</p></li><li><p>
Strong understanding of APIs, microservices, and cloud platforms (AWS, GCP, or Azure).</p></li><li><p>
Experience with Docker, CI/CD, and scalable system design.</p></li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li><p>
Experience with <b>multi-agent systems and autonomous AI workflows</b>.</p></li><li><p>
Knowledge of <b>prompt engineering, model evaluation, and AI safety</b>.</p></li><li><p>
Familiarity with <b>vector databases</b> such as Pinecone, Weaviate, or FAISS.</p></li><li><p>
Experience working in <b>AI startups or advanced R&amp;D environments</b>.</p></li><li><p>
Background in <b>Computer Science, AI, Data Science, or related field</b>.</p></li></ul><h3 class="jobSectionHeader"><b>
What We Offer</b></h3><ul><li><p>
Opportunity to work on cutting-edge <b>AI and autonomous systems</b>.</p></li><li><p>
Competitive salary and growth opportunities.</p></li><li><p>
Collaborative and innovation-driven work environment.</p></li><li><p>
Exposure to global AI projects and modern technology stack.</p></li></ul><p>
</p><p>Hr0rUNuBPn</p></div>

Agentic AI Engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are looking AI Engineers for a strategic initiative to build Agentic AI use cases around Trading Surveillance.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Design, develop, and maintain full-stack Python applications with modern frontend frameworks
</p></div><div><p>Build and optimize RAG (Retrieval-Augmented Generation) systems for AI applications
</p></div><div><p>Create and implement efficient vector databases and knowledge stores
</p></div><div><p>Develop APIs that connect frontend interfaces with backend AI services
</p></div><div><p>Implement and maintain CI/CD pipelines for AI applications
</p></div><div><p>Monitor application performance and troubleshoot issues in production
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Minimum of 6 to 9 years of experience to implement the solution
</p></div><div><p>Skills Required:
</p></div><div><p>Multi-Agent System Design &amp; Orchestration
</p></div><div><p>Full-stack AI Integration (Frontend to Backend)
</p></div><div><p>Multi-Cloud AI Infrastructure (AWS Bedrock, Vertex AI, Azure AI, Snowflake Cortex)
</p></div><div><p>Advanced Prompt Engineering &amp; LLM Fine-tuning
</p></div><div><p>Agentic Retrieval Augmented Generation (RAG)
</p></div><div><p>AI Safety, Guardrails &amp; Governance
</p></div><div><p>Enterprise Application Integration &amp; AI Orchestration
</p></div><div><p>Semantic Modeling &amp; Knowledge Graph Construction
</p></div><div><p>High-Scale Vector Database Management
</p></div><div><p>LLM Observability, Evaluation &amp; Monitoring (LLMOps)
</p></div><div><p>Main Technologies:
</p></div><div><p>Python (FastAPI / Pydantic)
</p></div><div><p>LangChain &amp; LangGraph
</p></div><div><p>Edio &amp; Render (Deployment &amp; Hosting)
</p></div><div><p>Streamlit &amp; Gradio (UI/UX for AI)
</p></div><div><p>OpenAI &amp; Open-Source Models (Llama 3, Mistral)
</p></div><div><p>Vector Databases (Pinecone, Milvus, Weaviate)
</p></div><div><p>Cloud Platforms: AWS Bedrock, Google Vertex AI, Azure AI Studio
</p></div><div><p>LLM Monitoring Tools (LangSmith / Arize Phoenix)
</p></div></div><p>Nice to have
</p><div><div><p>Tesseract OCR (nice to have)
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Chennai, India
</p></div><p>Req. VR-121109
</p></div><div></div><div><div><p>AI/ML
</p></div><div><p>BCM Industry</p>
</div><div><p>23/02/2026
</p></div><div><p>Req. VR-121109</p></div></div></div><p></p>

Senior AI Engineer

Htech Solution Pvt. Ltd.

<p><b>Job Title:</b> AI Engineer / AI Specialist</p><p><b>Industry:</b> IT Security &amp; Surveillance<br/><b>Location:</b> Karachi<br/><b>Experience:</b> 3&ndash;5 Years</p><p><b>Job Summary</b></p><p>We are looking for an AI Engineer to design, develop, and implement artificial intelligence solutions for security and surveillance systems. The role focuses on enhancing monitoring capabilities, automating threat detection, and improving operational efficiency through AI-driven technologies.</p><p><b>Key Responsibilities</b></p><ul><li>Develop and deploy AI/ML models for surveillance and security applications.</li><li>Implement computer vision solutions such as object detection, facial recognition, and behavior analysis.</li><li>Integrate AI solutions with command &amp; control platforms, and monitoring tools.</li><li>Build predictive analytics models for threat detection and anomaly identification.</li><li>Optimize AI models for real-time processing and performance.</li><li>Collaborate with IT, networking, and cybersecurity teams for secure system deployment.</li><li>Maintain AI pipelines including data preprocessing, training, validation, and deployment.</li><li>Monitor model performance and continuously improve accuracy.</li><li>Ensure compliance with cybersecurity and data privacy standards.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Strong knowledge of Machine Learning and Deep Learning concepts.</li><li>Experience with Python and AI frameworks (TensorFlow, PyTorch, OpenCV).</li><li>Knowledge of computer vision and video analytics.</li><li>Experience with REST APIs and system integration.</li><li>Understanding of data structures, algorithms, and model optimization.</li><li>Familiarity with cloud or edge AI deployment is a plus.</li></ul><p><b>Preferred Skills</b></p><ul><li>Experience in surveillance systems or security environments.</li><li>Knowledge of real-time analytics and AI automation.</li><li>Exposure to smart city or command &amp; control center projects.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

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