ai engineer

ai/ml engineer

apdm e&i and automation

application engineer

automation qa engineer

ai engineer automation workflow orchestration

Gigalabs (Pvt) Ltd.

<div>We are seeking an AI Engineer with deep expertise in workflow automation tools (n8n, Make, Zapier) and strong foundations in AI/ML integration. Your core responsibility will be to design, build, and maintain AI-powered automated workflows that streamline internal operations, reduce manual effort, and ensure scalable system interactions across the organization.
The ideal candidate can link AI models, APIs, and business systems into end-to-end, self-operating workflows that improve decision-making and team efficiency.
Key Responsibilities<ul>
<li>Build and maintain automation workflows using n8n, Make, and Zapier.</li>
<li>Integrate AI/ML models and APIs (OpenAI, Claude, Hugging Face, custom models) into real-time automated systems.</li>
<li>Connect data sources, CRMs, dashboards, cloud storage, Slack, email, and internal tools into cohesive workflows.</li>
<li>Automate tasks such as data ingestion, preprocessing, enrichment, notifications, triggers, and business logic.</li>
<li>Develop custom API connectors when existing modules do not exist.</li>
<li>Deploy and manage lightweight AI scripts and orchestrate actions via automation platforms.</li>
<li>Implement workflow monitoring, error handling, logging, and version control.</li>
<li>Collaborate with data science and engineering teams to convert model insights into operational automations.</li>
<li>Continuously identify process inefficiencies and deploy scalable automation solutions.</li></ul>
Required Skills &amp; Qualifications<ul>
<li>Bachelors or Masters degree in Computer Science, Data Science, AI, or related field.</li>
<li>2-3+ years of hands-on experience in automation, AI integration, or workflow engineering.</li>
<li>Proven experience with n8n, Make (Integromat), or Zapier.</li>
<li>Strong proficiency in Python, including writing custom API integrations.</li>
<li>Solid understanding of REST APIs, OAuth2, webhooks, and JSON-based data structures.</li>
<li>Familiarity with deploying or integrating AI/ML models via APIs.</li>
<li>Experience with Google Cloud, AWS, or similar environments.</li>
<li>Strong debugging, analytical thinking, and workflow troubleshooting skills.</li><li>
Good understanding of data pipelines, version control (Git), and automation logic.</li></ul>
Nice-to-Have<ul>
<li>Experience building or integrating AI agents, chatbot workflows, or RAG-based systems.</li>
<li>Exposure to Docker, serverless environments, or self-hosted n8n setups.</li>
<li>Knowledge of SQL/NoSQL databases.</li>
<li>Understanding of event-driven systems and scalable automation design.</li>
<li>Experience in business process automation (BPA) or integration engineering.</li></ul></div>

AI Engineer Automation & Workflow Orchestration

WindshieldHUB

<div><h2 class="jobSectionHeader">Job Summary 
We&rsquo;re seeking a Senior AI Integration Engineer with full-stack expertise and hands-on experience developing real-world AI systems. The ideal candidate can architect, code, and deploy advanced AI solutions that power automation, analytics, and data-driven applications. This role offers the opportunity to lead technical innovation, work with modern frameworks, and help shape the foundation for next-generation AI-powered products.</h2><h2 class="jobSectionHeader">
About the Role 
We&rsquo;re looking for a Senior AI Integration Engineer with strong full-stack experience and a passion for building and deploying real-world AI-powered systems. This role is ideal for an engineer who thrives at the intersection of AI architecture, backend logic, and automation &mdash; someone who can take ideas from concept to production. You&rsquo;ll help define how AI is embedded across modern platforms and services, driving innovation and building the foundation for future AI-driven products. You&rsquo;ll work closely with our technical leads, collaborate with developers, and play a key role in integrating advanced AI capabilities across multiple systems.</h2><h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design and implement AI-driven features and automations within enterprise-grade applications.</li><li>
Build and maintain data pipelines and event-driven workflows for model training, inference, and feedback.</li><li>
Integrate LLMs, vector databases, and AI orchestration frameworks into existing environments.</li><li>
Develop and deploy AI agents for process automation, knowledge retrieval, and analytics summarization.</li><li>
Collaborate with development leads to ensure performance, scalability, and data privacy.</li><li>
Document and maintain clear integration processes and architecture guidelines.</li><li>
Provide mentorship on AI/ML best practices to other engineers.</li><li>
Continuously identify opportunities to improve existing systems using AI-driven enhancements.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><ul><li>
Strong programming background in Python, Node.js, or PHP (Laravel experience preferred).</li><li>
Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, LangChain, or Hugging Face.</li><li>
Proven experience integrating LLMs (OpenAI, Anthropic, Meta Llama 3, or fine-tuned custom models).</li><li>
Practical experience with vector databases (Pinecone, Weaviate, Chroma, FAISS).</li><li>
Familiarity with frontend frameworks such as Vue.js, Nuxt.js, or React/Next.js.</li><li>
Strong understanding of API design, microservices, and event-driven architecture.</li><li>
Knowledge of data engineering principles (ETL, preprocessing, data labeling).</li><li>
Experience building RAG (Retrieval-Augmented Generation) systems and automation workflows.</li></ul><h2 class="jobSectionHeader">
Soft Skills</h2><ul><li>
Strong leadership through action &mdash; hands-on and collaborative.</li><li>
Excellent documentation and communication skills.</li><li>
Strategic thinker with strong problem-solving abilities.</li><li>
Adaptable and motivated by fast-paced innovation.</li><li>
Passion for building high-impact systems that scale.</li></ul><h2 class="jobSectionHeader">
What We Offer</h2><ul><li>
Full-time, long-term opportunity with room for advancement as AI initiatives expand.</li><li>
A dynamic environment focused on innovation, creativity, and impact.</li><li>
The chance to shape the AI foundation for new and existing digital products.</li></ul>
tSrSoAAtGy</div>

Senior AI Integration Engineer

Topdot Pvt Ltd

We are seeking a DevOps Engineer with a minimum of 4 years of experience to join our high-performance engineering team. In this role, you will play a key part in shaping and maintaining scalable, secure, and efficient cloud infrastructure while leveraging AI-powered tools and automation to optimize operations. You&rsquo;ll collaborate closely with development teams to streamline deployment pipelines, ensure system reliability, and explore AI-driven solutions for infrastructure monitoring, predictive maintenance, and automation.Responsibilities<ul><li>Design, implement, and maintain scalable cloud infrastructure primarily on AWS (or other cloud providers).</li><li>Develop and manage CI/CD pipelines to automate build, test, and deployment processes.</li><li>Integrate AI and ML tools to enhance monitoring, predictive analytics, anomaly detection, and automated troubleshooting.</li><li>Monitor and troubleshoot infrastructure and application performance issues using both traditional and AI-driven observability tools.</li><li>Collaborate with development, QA, and operations teams to support seamless application releases.</li><li>Implement and enforce infrastructure security best practices and compliance requirements.</li><li>Write and maintain Infrastructure-as-Code (IaC) using Terraform or CloudFormation.</li><li>Manage container orchestration platforms, particularly Kubernetes and Docker.</li><li>Maintain high availability and disaster recovery strategies across environments.</li><li>Drive cost optimization efforts using AI-driven insights and regular infrastructure reviews.</li><li>Mentor junior engineers and contribute to knowledge sharing across teams, including AI adoption in DevOps practices.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related technical field.</li><li>4+ years of hands-on experience in a DevOps role.</li><li>Strong expertise with AWS (or other cloud providers like GCP or Azure).</li><li>Proficiency in scripting languages such as Python, Bash, or Go, including AI/ML scripting frameworks (e.g., PyTorch, TensorFlow) a plus.</li><li>Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI.</li><li>Hands-on experience with Docker and Kubernetes in production environments.</li><li>Solid understanding of Terraform, CloudFormation, or other IaC tools.</li><li>Familiarity with Git-based workflows and version control best practices.</li><li>Strong problem-solving skills and a proactive, ownership-driven mindset, including leveraging AI for operational efficiency.</li></ul>Preferred Qualifications<ul><li>Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, or AI-driven monitoring platforms.</li><li>Familiarity with configuration management tools like Ansible, Chef, or Puppet.</li><li>Relevant certifications such as AWS Certified DevOps Engineer, CKA/CKAD, or AI/ML certifications.</li><li>Experience with security and compliance standards such as SOC2 or ISO 27001.</li><li>Hands-on experience implementing AI/ML models to optimize DevOps processes, automate incident response, or drive predictive analytics.</li></ul>Benefits<ul><li>Competitive salary and benefits package</li><li>Opportunity to work on challenging and impactful projects</li><li>Work with a talented and experienced team</li><li>Be a part of a growing and innovative company</li></ul>How to ApplyIf you are passionate about software development, have strong leadership skills, and enjoy working in a collaborative and fast-paced environment, we would love to hear from you. Apply here or at hr@topdot.pkJob Type: Full-timePay: From Rs200,000.00 per monthAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>Current salary in PKR?</li><li>Expected salary in PKR?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>DevOps: 4 years (Required)</li></ul>Work Location: In person

Senior DevOps Engineer

CommerceKind

CommerceKind is HIRING &ndash; AI &amp; Google Sheets Automation SpecialistWe&rsquo;re looking for a skilled AI &amp; Google Sheets Automation Specialist who can automate workflows, integrate Amazon data into smart dashboards, and streamline processes across multiple departments using AI, Google Apps Script, and automation tools.Compensation &amp; Benefits:&#10140; Salary Range: Up to PKR 140,000 per month (based on experience and skillset)&#10140; Performance-based bonuses&#10140; Gratuity, Fuel Allowance &amp; Medical Insurance (As per company policy)&#10140; Growth opportunities in a fast-paced, tech-driven environment&#10140; Exposure to AI, automation systems, and global data workflows&#10140; Collaborative culture where your automations create real organizational impactWork Details:&#10140; Office Location: Paragon City, Lahore&#10140; Working Days: Monday to Friday&#10140; Timings: Fully flexible working hours. Our office operates from 2:00 PM to 2:00 AM, and you may check in and check out at any time within this window. No fixed hour restrictions.The Role:Amazon Data Automation&#10140; Automate the import of Amazon reports into Google Sheets with proper mapping and validation&#10140; Build dynamic dashboards to track KPIs for Wholesale, PL, and PPC teams&#10140; Ensure data is refreshed, accurate, and structured without manual workDepartment Workflow Automation&#10140; Develop automated workflows for HR, Admin, BD, Customer Support, PD, PL, PPC &amp; Web teams&#10140; Create triggers, scripts, alerts, and scheduled automations for repetitive tasks&#10140; Improve efficiency across departments through AI-based solutionsEmail &amp; Communication Automation&#10140; Automate HR emails including rejections, welcome emails, onboarding sequences&#10140; Build automated outreach and follow-up sequences for BD department&#10140; Set up email tracking, reminders, and workflow analyticsAI-Driven Integrations &amp; Scripting&#10140; Build custom automation scripts using Google Apps Script, Python, or API integrations&#10140; Use AI tools to optimize workloads, reduce manual input, and improve reporting&#10140; Identify bottlenecks and implement automation strategies company-wideDashboard &amp; Reporting Automation&#10140; Develop performance dashboards for departments to visualize real-time data&#10140; Ensure data accuracy, error handling, and smooth integration across sheets&#10140; Maintain documentation of all automation workflowsWhat We&rsquo;re Looking For:&#10140; Proven experience in Google Sheets automation &amp; Google Apps Script&#10140; Strong understanding of AI tools, automation platforms (Make, Zapier, API integrations)&#10140; Hands-on skills in dashboard building (Looker Studio, Sheets, or Power BI)&#10140; Familiarity with Amazon Seller Central reports is a strong plus&#10140; Excellent analytical, problem-solving, and workflow-building skills&#10140; Ability to collaborate across HR, Admin, BD, PL, PPC, Wholesale, Web &amp; Support teams&#10140; Strong communication and documentation skillsWhy This Role Matters:At CommerceKind, automation is the backbone of efficiency. As our AI &amp; Google Sheets Automation Specialist, you&rsquo;ll create intelligent systems that reduce manual work, amplify productivity, and empower every department to operate smarter and faster.Apply Now:hr@commercekind.comSubject: Application &ndash; AI &amp; Google Sheets Automation SpecialistJob Type: Full-timePay: Rs100,000.00 - Rs140,000.00 per monthWork Location: In person

AI & Google Sheets Automation Specialist

Software Finder Careers

<div>
 
 Position Overview
 
 
 
 We are looking for a skilled and motivated Data Engineer to support the design, development, and optimization of our data infrastructure across multiple cloud environments. The role involves creating reliable data pipelines, developing clean data models, and ensuring data quality and availability for analytics, reporting, and business operations.
 
 
 The ideal candidate should have at least three years of experience in data engineering or a related field, strong analytical skills, and practical knowledge of modern data tools and frameworks.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain data pipelines to collect, process, and deliver structured and unstructured data.
 </li>
 <li>
 Develop and optimize data models to support reporting and analytical needs.
 </li>
 <li>
 Work with multiple cloud platforms (AWS, Azure, or GCP) to ensure scalability, performance, and reliability of data systems.
 </li>
 <li>
 Support integration of various data sources and APIs into the central data infrastructure.
 </li>
 <li>
 Implement data validation, quality checks, and governance processes.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business data requirements.
 </li>
 <li>
 Assist in documenting workflows, architecture diagrams, and technical specifications.
 </li>
 <li>
 Contribute to automation and efficiency improvements across data workflows.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Engineering, or a related field.
 </li>
 <li>
 Understanding of data modeling, normalization, and database design principles.
 </li>
 <li>
 Experience with data integration and transformation workflows.
 </li>
 <li>
 Familiarity with at least one major cloud platform (AWS, Azure, or GCP).
 </li>
 <li>
 Strong analytical mindset and attention to data accuracy.
 </li>
 <li>
 Experience: 3&ndash;6 years building production-grade data platforms (ELT/ETL, modeling, reliability).
 </li>
 <li>
 Languages: Strong SQL and Python; writing testable, modular code.
 </li>
 <li>
 Modeling: Hands-on with dimensional modeling and SCD2; comfort with audit logging and provenance.
 </li>
 <li>
 Orchestration &amp; ELT: Real-world experience with a workflow scheduler and transformation framework.
 </li>
 <li>
 Warehouses &amp; Storage: Managed Postgres and at least one analytical warehouse (BigQuery or Snowflake); object storage on a major cloud (AWS/GCP/Azure).
 </li>
 <li>
 Quality &amp; Testing: Implemented data quality gates, CI for data, and schema enforcement.
 </li>
 <li>
 Security: Practical PII handling, access controls, secrets management, and key rotation.
 </li>
 <li>
 Reliability: Monitoring, alerting, on-call/readiness mindset; performance tuning of SQL jobs.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with data orchestration or workflow tools (e.g., Airflow).
 </li>
 <li>
 Knowledge of data warehousing and analytics concepts.
 </li>
 <li>
 Exposure to BI or visualization tools (e.g., Power BI, Tableau, Looker).
 </li>
 <li>
 Understanding of data governance and security best practices.
 
 
 </li>
 </ul>
 
 Software Finder
 
 is a leading B2B SaaS marketplace that helps businesses discover, compare, and select the right software solutions. Our platform connects companies with tailored software options based on their unique needs, supported by verified reviews and expert insights.
 
 
 With a growing portfolio of software categories and a global user base, Software Finder is committed to simplifying the software selection process and empowering businesses to make informed decisions.
 
 
 Our team is driven by a shared mission to innovate, collaborate, and deliver value to our users. As we continue to grow, we are always looking for talented individuals who are passionate about technology, customer success, and making an impact.
</div>

Data Engineer

NorthBay Solutions

<div>Job Title: Senior DevOps Engineer (AWS, Azure, GCP) 
Location: Lahore/ Karachi/ Islamabad (Hybrid) 
Experience: 7 &ndash; 10+ years
About the Role: 
We are looking for a Senior DevOps Engineer with extensive experience in AWS as the primary cloud platform, along with hands-on exposure to Azure and GCP. The ideal candidate will be responsible for designing, implementing, and managing cloud infrastructure, automation, and containerized environments to support scalable and reliable applications. This is a hybrid role, requiring collaboration with cross-functional teams across multiple locations.
Key Responsibilities:<ul><li>
Design, implement, and manage scalable, secure, and highly available infrastructure primarily on AWS.</li><li>
Build and maintain CI/CD pipelines, automation scripts, and infrastructure as code using Terraform.</li><li>
Manage Kubernetes clusters (EKS) and containerized applications for deployment, scaling, and monitoring.</li><li>
Provide hands-on experience with Azure and GCP cloud services as secondary platforms.</li><li>
Collaborate with development and QA teams to ensure smooth deployment of applications.</li><li>
Implement monitoring, logging, and alerting solutions for cloud infrastructure and applications.</li><li>
Conduct cloud cost optimization and security best practices reviews.</li><li>
Troubleshoot and resolve infrastructure, application, and cloud-related issues.</li><li>
Drive DevOps best practices and promote automation across the software delivery lifecycle.</li></ul>
Required Skills and Experience:<ul><li>
6 &ndash; 10+ years of overall experience in DevOps, Cloud, and Infrastructure.</li><li>
Strong expertise in AWS services including EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, and others.</li><li>
Hands-on experience with Terraform for infrastructure provisioning and management.</li><li>
Expertise in Kubernetes (EKS) for orchestration of containerized applications.</li><li>
Experience with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or equivalent.</li><li>
Exposure to Azure and GCP cloud platforms.</li><li>
Strong scripting skills in Python, Bash, or PowerShell.</li><li>
Solid understanding of networking, security, and cloud architecture best practices.</li><li>
Familiarity with monitoring tools like Prometheus, Grafana, CloudWatch, or ELK Stack.</li><li>
Excellent problem-solving skills, communication skills, and ability to work in a hybrid team environment.</li></ul>
Preferred Qualifications:<ul><li>
AWS Certified Solutions Architect or DevOps Engineer certification.</li><li>
Experience in multi-cloud environments and hybrid cloud architectures.</li><li>
Experience in automation and orchestration tools beyond Terraform (Ansible, Chef, Puppet).</li></ul>
Why Join Us:<ul><li>
Work with a collaborative team on large-scale cloud solutions.</li><li>
Opportunity to work across multiple cloud platforms and cutting-edge technologies.</li><li>
Flexible hybrid work model in Karachi.</li></ul>
HH1o7qJv2S</div>

Senior DevOps Engineer (AWS, Azure, GCP)

Emploiscareer

Responsibilities:1. Utilize Terraform and AWS Cloud Formation to define, automate, and manage cloudinfrastructure.2. Leverage Google Cloud Platform (GCP) and Amazon Web Services (AWS) to architect andmaintain robust, scalable cloud environments.3. Develop, configure, and maintain CI/CD pipelines using Jenkins to automate software builds,testing, and deployments.4. Manage Docker containers and Kubernetes clusters to ensure efficient application deployment,scaling, and orchestration.5. Set up monitoring solutions using tools to proactively identify and address performance issues.6. Collaborate with security teams to implement security best practices, conduct vulnerabilityassessments, and ensure adherence to compliance standards.7. Develop scripts and automation workflows to streamline operational tasks.8. Collaborate closely with development teams to streamline the software development lifecycleand foster a culture of automation and collaboration.9. Create and maintain comprehensive documentation for infrastructure, processes, andprocedures.Qualifications:&#61623; Minimum of 5 years of experience as a DevOps Engineer with a focus on Google Cloud, AWS,Jenkins, and Docker.&#61623; Proficiency in cloud infrastructure management and automation.&#61623; Strong knowledge of CI/CD pipelines, Jenkins, and related tools.&#61623; Experience with containerization and orchestration technologies, particularly Docker andKubernetes.&#61623; Familiarity with infrastructure as code (IaC) principles and tools.&#61623; Solid scripting and automation skills.&#61623; Understanding of security best practices and compliance standards.&#61623; Excellent communication and teamwork skills.Job Type: Full-timePay: Up to Rs500,000.00 per monthAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Required)</li></ul>Work Location: In person

Senior DevOps GCP

Explore 831+ Ai engineer automation workflow orchestration in Lahore this December. Find roles across top companies and apply now to boost your career.