software engineer

data engineer

it support engineer

network engineer

system engineer

ai cloud engineer

Systems Limited

<div>
 
 About the job:
 
 
 
 
 
 We are looking for a Cloud AI Engineer to design, deploy, and manage scalable AI solutions on Azure, driving innovation with secure, high-performance cloud infrastructure.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy cloud-based AI solutions integrating ML models and AI tools.
 </li>
 <li>
 Collaborate with data scientists and engineers to deliver scalable AI models on Azure.
 </li>
 <li>
 Implement automation for deployment, monitoring, and management of AI workloads.
 </li>
 <li>
 Optimize cloud infrastructure for performance, security, and cost efficiency.
 </li>
 <li>
 Manage Azure AI Foundry, AI Hub, OpenAI, Azure ML, Azure Data Factory, Kubernetes (AKS), and cloud networks.
 </li>
 <li>
 Develop APIs and data pipelines connecting AI models to other systems.
 </li>
 <li>
 Monitor, troubleshoot, and resolve cloud AI system issues.
 </li>
 <li>
 Ensure compliance with security standards and industry best practices.
 </li>
 <li>
 Provide guidance and support to the team for continuous improvement.
 </li>
 <li>
 Participate in Cloud Center of Excellence (CCoE) activities and collaborate with Cloud Architects.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 4-6 years&rsquo; experience in cloud solutioning and deployment (banking sector preferred).
 </li>
 <li>
 2-4 years&rsquo; experience supporting AI platforms on cloud.
 </li>
 <li>
 Hands-on experience with Azure AI services and cloud infrastructure.
 </li>
 <li>
 Proficient with Terraform, Azure DevOps, PowerShell/Bash scripting, and cloud IaaS/PaaS.
 </li>
 <li>
 Strong knowledge of cloud architecture, networking, security, monitoring, and compliance.
 </li>
 <li>
 Experience in large-scale production environments, upgrades, and migrations.
 </li>
 <li>
 Problem-solving skills with ability to manage incidents and ensure high availability.
 </li>
 <li>
 AI or cloud technology certifications preferred.
 </li>
 </ul>
 
 
</div>

AI Cloud Engineer

SOC Solutions LLC

Location: Karachi, Pakistan (On-site) Timing: 11 AM &ndash; 8 PM (Mon&ndash;Fri) Company: Botmer InternationalWe&rsquo;re looking for an experienced Principal Software Engineer (Clouds) to lead cloud architecture, infrastructure automation, and large-scale deployment systems across our AI-driven software products.Responsibilities<ul><li>Architect and maintain scalable cloud infrastructure (AWS, GCP, or Azure)</li><li>Lead and mentor a team of senior engineers</li><li>Design CI/CD pipelines, monitoring, and disaster recovery solutions</li><li>Ensure cloud cost optimization and performance efficiency</li><li>Collaborate closely with AI and full-stack teams on system integration</li></ul>Requirements<ul><li>8+ years of software engineering experience, with at least 3+ years in cloud-focused roles</li><li>Strong command of AWS, Docker, Kubernetes, Terraform, and CI/CD tools</li><li>Proficient in backend programming (Python, Node.js, or Go)</li><li>Experience with microservices, APIs, and security best practices</li><li>Leadership experience managing or mentoring technical teams</li></ul>Perks<ul><li>Competitive market salary</li><li>Collaborative and fast-paced startup culture</li><li>Opportunity to work on cutting-edge AI and automation projects</li></ul>Job Type: Full-timePay: Rs350,000.00 - Rs500,000.00 per monthApplication Question(s):<ul><li>What is your expected Salary for this Role?</li></ul>Experience:<ul><li>Software Development: 5 years (Required)</li><li>DevOps: 5 years (Required)</li></ul>Work Location: In person

Principal Software Engineer

Jorofy Private Limited

AI Automation Engineer (Entry-Level) at ENUMRequired Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in computer science, Software Engineering, Artificial Intelligence, or a related field.</li><li>1&ndash;2 years of professional experience (fresh graduates with strong technical foundations are encouraged to apply).</li><li>Solid understanding of AI/ML APIs such as OpenAI, Azure Cognitive Services, Google AI, or Hugging Face.</li><li>Proficiency or hands-on experience with any no-code / low-code tools like Power Automate, N8N, Nintex, Zapier.</li><li>Basic programming experience in at least one of the following:</li><li>Python (automation, AI APIs, scripting)</li><li>JavaScript / TypeScript (for N8N, Node.js-based workflows)</li><li>C# / .NET (enterprise and Microsoft integrations)</li><li>PowerShell / Bash (for system or cloud automations)</li><li>Understanding of RESTful APIs, Webhooks, and JSON-based integrations.</li><li>Familiarity with version control systems (Git/GitHub/GitLab).</li><li>Working knowledge of databases (SQL Server, PostgreSQL, or MongoDB).</li><li>Exposure to cloud environments (Azure Logic Apps, AWS Lambda, or Google Cloud Functions is a plus).</li><li>Strong understanding of prompt engineering and conversational design for chatbots.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Self-motivated with a continuous learning mindset.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Work Location: In person

AI Automation Engineer (Entry-Level)

Darosoft

Job SummaryWe are looking for a hands-on AI Engineer with at least 2 years of professional experience in building AI agents and automated AI-driven workflows. The ideal candidate should have strong experience working with LLMs, AI agent frameworks, and n8n workflow automation, and be capable of integrating intelligent systems into real-world business applications.Key Responsibilities<ul><li>Design, develop, and deploy AI agents capable of task execution, decision-making, and tool usage</li><li>Build and maintain n8n workflows for AI-driven automation</li><li>Integrate AI agents with:</li><li>Internal systems (ERP, CRM, databases)</li><li>Third-party APIs and services</li><li>Develop LLM-powered solutions such as chatbots, assistants, and process automation tools</li><li>Implement prompt engineering, agent memory, and multi-step reasoning flows</li><li>Build and consume REST APIs for AI integrations</li><li>Monitor, debug, and optimize AI agents and automation workflows</li><li>Ensure reliability, scalability, and performance of AI systems</li><li>Document AI workflows, agent logic, and integrations</li></ul>Required Skills &amp; QualificationsExperience<ul><li>Minimum 2 years of professional experience as an AI Engineer / ML Engineer / Automation Engineer</li></ul>Core Technical Skills<ul><li>Strong proficiency in Python</li><li>Experience with NumPy, Pandas, Scikit-learn</li><li>Solid understanding of data handling, statistics, and ML fundamentals</li></ul>AI, LLMs &amp; Agents<ul><li>Hands-on experience building AI agents</li><li>Experience working with LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.)</li><li>Strong prompt engineering skills</li><li>Experience with RAG (Retrieval-Augmented Generation) pipelines</li><li>Familiarity with agent frameworks such as:</li><li>LangChain</li><li>LlamaIndex</li><li>or similar tools</li></ul>Automation &amp; Workflows<ul><li>Proven experience working with n8n workflow automation</li><li>Experience building:</li><li>Event-driven workflows</li><li>Webhook-based automations</li><li>Scheduled (cron) workflows</li><li>Ability to orchestrate workflows involving LLMs + APIs + databases</li></ul>APIs &amp; Backend<ul><li>Experience building and consuming REST APIs</li><li>Familiarity with FastAPI or Flask</li><li>Experience integrating AI systems with databases (SQL / NoSQL)</li></ul>Nice to Have (Plus Points)<ul><li>Experience with self-hosted n8n deployments</li><li>Knowledge of vector databases (FAISS, Pinecone, Weaviate, etc.)</li><li>Experience with Docker and basic cloud deployments</li><li>Familiarity with MLOps concepts</li><li>Experience with Zapier / Make.com in addition to n8n</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical skills</li><li>Ability to explain AI concepts to non-technical stakeholders</li><li>Good communication and teamwork skills</li><li>Self-driven and eager to learn new technologies</li></ul>Job Type: Full-timePay: Rs55,000.00 - Rs75,000.00 per monthWork Location: In person

Artificial Intelligence Engineer

Datamatics Global Services Ltd

<div>Job Title: Lead Confluent Kafka Engineer/Architect 
Location: Remote (Pak) / Hybrid (Riyadh, KSA) 
Employment Type: Full-Time / Contract-to-Hire 
Experience Level: 10+ years (Senior/Lead) 
 
Role Summary 
As a Lead Confluent Kafka Engineer, you'll architect, design, setup, install, implement and optimize high-throughput data streaming solutions using Confluent Platform and Apache Kafka. You'll lead a team of engineers in delivering production-grade pipelines, ensuring scalability, reliability, and security. This role involves hands-on development, mentoring, and collaborating with data architects, DevOps, and stakeholders to implement event-driven architectures. You'll champion best practices in real-time data processing, from proof-of-concepts to enterprise deployments, including full lifecycle management from installation to optimization. 
 
Key Responsibilities<ul><li>
Architecture &amp; Design: Lead the design of scalable Kafka clusters and Confluent-based ecosystems (e.g., Kafka Streams, ksqlDB, Schema Registry, Connect) for on-prem, hybrid, and multi-cloud (GCP) environments.</li><li>
Implementation &amp; Development: Build and maintain real-time data pipelines, integrations, and microservices using Kafka producers/consumers; integrate with tools like Flink, Spark, or ML frameworks for advanced analytics.</li><li>
Installation &amp; Setup: Oversee the end-to-end installation and initial configuration of Confluent Platform and Apache Kafka clusters, including:<ul><li>
Deploying Confluent Enterprise/Community editions on Kubernetes (via Helm/Operator), bare-metal servers, or managed cloud services (e.g., Confluent Cloud, GCP).</li><li>
Configuring brokers, ZooKeeper/KRaft mode, topics, partitions, replication factors, and security settings (e.g., SSL/TLS, SASL, ACLs) using Ansible, Terraform, or Confluent CLI.</li><li>
Setting up auxiliary components like Schema Registry, Kafka Connect clusters, and monitoring agents (e.g., JMX exporters) with automated scripts for reproducible environments.</li><li>
Performing initial health checks, load testing (e.g., with Kafka's performance tools), and integration with existing infrastructure (e.g., VPC peering, load balancers).</li></ul></li><li>
Operations &amp; Maintenance: Oversee monitoring, troubleshooting, performance tuning, and lifecycle management (upgrades, patching) of Kafka/Confluent instances; implement DevSecOps practices for CI/CD pipelines.</li><li>
Team Leadership: Mentor junior engineers, conduct code reviews, and drive technical proofs-of-concept (POCs); gather requirements and define standards for Kafka as a managed service (e.g., access controls, documentation).</li><li>
Optimization &amp; Innovation: Ensure high availability (&gt;99.99%), fault tolerance, and cost-efficiency; explore emerging features like Kafka Tiered Storage or Confluent Cloud integrations for AI workloads.</li><li>
Collaboration &amp; Delivery: Partner with cross-functional teams (data engineers, architects, product owners) to align streaming solutions with business goals; provide thought leadership on event-driven patterns.</li><li>
Security &amp; Compliance: Implement RBAC, encryption, and auditing; conduct root-cause analysis for incidents and ensure GDPR/HIPAA compliance in data flows.</li></ul>
Required Qualifications &amp; Skills<ul><li>
Bachelor's/Master's in Computer Science, Engineering, or related; certifications like Confluent Developer/Administrator a plus.</li><li>
10+ years in software engineering; 5+ years hands-on with Apache Kafka &amp; Confluent Platform (Cloud/Enterprise editions).</li><li>
Proficiency in Java/Scala/Python (8/11+); Kafka Streams/Connect/ksqlDB; Schema Registry; REST/gRPC APIs.</li><li>
Event-driven/microservices design; data pipeline optimization; handling high-volume streams (TB/day scale).</li><li>
Expertise in containerization (Docker/Kubernetes); CI/CD (Jenkins/GitHub Actions); Terraform/Ansible for IaC.</li><li>
Multi-cloud experience (AWS, GCP, Azure); monitoring tools (Prometheus, Grafana, Confluent Control Center).</li><li>
Experience with streaming integrations (e.g., Flink, Spark Streaming for CDC).
</li><li>Contributions to open-source Kafka projects or publications on streaming architectures.
</li><li>Knowledge of AI/ML data pipelines (e.g., Kafka + TensorFlow/PyTorch).
</li><li>Familiarity with observability tools and security (OAuth, Kerberos).
</li><li>Strong problem-solving, communication, and leadership; experience leading POCs and cross-team projects.</li><li>
Agile/Scrum leadership in fast-paced environments.</li><li>
Experience in client facing roles and leading teams.</li></ul>
eSAVL5n77F</div>

Lead Confluent Kafka Engineer / Architect

Pivotize Consulting

Job Overview We aare in search of an experienced AI Engineer who will work as part of a diverse team of software engineers, data scientists, and machine learning (ML) experts to develop new models and algorithms to apply artificial intelligence to solve real-world problems and change the future.In this role, your curiosity and deep interest in AI, machine learning, and keeping pace with a rapidly evolving field will guide your path. You will delve into extensive data sets, identify patterns, and craft predictive algorithmic models, contributing to innovative projects.Responsibilities: . Design and develop cutting-edge AI solutions and systems that integrate with our products and services. . Implementing AI solutions using programming languages such as Python, R, Java, or C++, along with relevant frameworks and libraries like TensorFlow, PyTorch, or scikit-learn. . Collecting, preprocessing, and analyzing large volumes of data to train AI models. This may involve data cleaning, feature engineering, and exploratory data analysis. . Deploying AI models into production environments and integrating them with existing systems and applications. This may involve containerization, microservices architecture, and cloud computing platforms. . Conduct thorough testing and evaluation of AI systems to ensure they meet performance, reliability, and security standards. . Conduct research and experiments to improve the performance of AI systems. . Monitor the performance of AI systems and make recommendations for improvements. . Stay up-to-date with advancements in AI technologies and make recommendations for future development.Requirements: . Degree in Computer science, Information technology, or a related field. 4+ years of experience with strong programming skills in Python, R, MATLAB, or other relevant programming languages. . Deep understanding of data science, linear algebra, algorithms, and statistics. . Experience working with large data sets and writing efficient code capable of processing large data streams at speed . Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML framework. . Excellent communication skills.Job Type: Full-timePay: From Rs250,000.00 per monthApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is your notice period?</li><li>Are you able to commute to Bahria Complex 1, Lalazar, M.T. Khan Road for onsite interview &amp; job? It's mandatory to be available on-site. No Freelance or Remote reource/online interviews &amp;assessment.</li></ul>Work Location: In person

Sr. Artificial Intelligence (AI) Engineer

Dr Aimen Zia Dental Clinic

AI Engineer / Chatbot Developer (WhatsApp + CRM + WordPress + Shopify)Location: Zia Dental Care &amp; Aesthetics, Clifton Bath Island, Karachi Company: AI Digital Agency &ndash; Dubai Email: umairaligulfam@gmail.com WhatsApp: +923002278864About UsWe are a rapidly growing AI Digital Agency based in Dubai, delivering automation, AI chatbots, CRM integrations, and eCommerce solutions for businesses across multiple industries. We are expanding our team at our Pakistan office located in Clifton Bath Island, Karachi, and seeking a highly skilled AI &amp; Automation Expert to join us.Position OverviewWe are looking for a full-stack AI, Chatbot &amp; Automation Specialist capable of independently building a WhatsApp conversational CRM chatbot, automating business workflows, integrating campaigns, and managing website platforms (WordPress + Shopify).This is a technical role that requires expertise, creativity, and the ability to work independently.Key ResponsibilitiesAI &amp; Chatbot Development<ul><li>Build advanced conversational chatbots using OpenAI/LLMs for WhatsApp.</li><li>Develop automated lead qualification, customer support, and sales flows.</li><li>Create industry-specific chatbot templates for multiple business types.</li></ul>WhatsApp Automation<ul><li>Integrate WhatsApp Cloud API, 360dialog, Twilio, Gupshup, or other providers.</li><li>Build automation for sales funnels, reminders, follow-up sequences, and customer tracking.</li></ul>CRM &amp; Campaign Integration<ul><li>Connect chatbot workflows with any CRM: Zoho, HubSpot, Salesforce, PipeDrive, GoHighLevel, etc.</li><li>Integrate and automate:</li><li>WhatsApp Campaigns</li><li>Email Campaigns</li><li>SMS Campaigns</li><li>Retargeting Campaigns</li><li>Create dashboards for performance tracking, lead status, conversions, and engagement.</li></ul>Website Management (WordPress + Shopify)<ul><li>Manage and update WordPress websites (themes, plugins, optimization).</li><li>Manage Shopify stores (theme updates, app integrations, automation workflows).</li><li>Implement AI-driven support and product recommendation modules.</li></ul>Backend &amp; API Work<ul><li>Build backend automation using Python or Node.js.</li><li>Handle APIs, webhook integrations, and data pipelines.</li><li>Connect all systems into a unified CRM and reporting environment.</li></ul>Required Skills<ul><li>AI / LLM expertise (OpenAI, GPT-4/5, Claude, Llama, LangChain)</li><li>WhatsApp Business API integration</li><li>CRM workflows, dashboards &amp; analytics</li><li>Strong backend skills (Python or Node.js)</li><li>WordPress development &amp; plugin experience</li><li>Shopify store management &amp; automation</li><li>API integration skills</li><li>Strong problem-solving ability and ability to work independently</li></ul>Preferred Skills<ul><li>n8n, Make.com, Zapier, Twilio Studio</li><li>React / Next.js frontend experience</li><li>Database experience (MongoDB, Firebase, MySQL)</li><li>Experience building SaaS automation tools</li></ul>What We Offer<ul><li>Competitive market salary</li><li>Long-term role with growth opportunity</li><li>Work on cutting-edge AI automation projects</li><li>Professional environment at Clifton Bath Island, Karachi</li></ul>How to ApplyEmail: umairaligulfam@gmail.com WhatsApp: +923002278864Job Type: Full-timePay: From Rs100,000.00 per month

AI Engineer – Conversational CRM WhatsApp Chatbot Developer

Explore 403+ Ai cloud engineer in Karachi this December. Find roles across top companies and apply now to boost your career.