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ai automation engineer

Appsians

Appsians is looking for a passionate and proactive AI Automation Engineer with practical experience to join our AI development team. The ideal candidate should be eager to learn, experiment, and contribute to AI/ML-based projects. You will assist in building intelligent systems, integrating AI tools, and optimizing existing models.Key Responsibilities:<ul><li>Assist in the development, training, testing, and deployment of machine learning and AI models.</li><li>Apply N8N AI Tool in real-world use cases (e.g., NLP, computer vision, predictive analytics, automation).</li><li>Collaborate with senior engineers and data scientists on AI-based solutions.</li><li>Clean, preprocess, and analyze large datasets for modeling purposes.</li><li>Participate in model validation, performance tuning, and error analysis.</li><li>Write clean, maintainable, and well-documented code.</li><li>Work on AI product features, proof of concepts, and demos using N8N AI Tool.</li><li>Stay updated with the latest trends in AI/ML and suggest ways to implement them.</li><li>Support in integrating AI solutions into web/mobile/cloud-based environments.</li><li>Contribute to AI model monitoring, retraining, and feedback loops.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor's degree in Computer Science, Data Science, AI, or related field.</li><li>1.5 to 3 years of relevant experience in AI/ML projects.</li><li>Hands-on experience with N8N AI Tool (e.g., model building, automation, workflows).</li><li>Proficiency in Python (preferred), with familiarity in libraries like TensorFlow, PyTorch, Scikit-learn, or Keras.</li><li>Proficiency in React programming language.</li><li>Understanding of supervised/unsupervised learning, classification, regression, etc.</li><li>Familiarity with REST APIs, Git, and version control.</li><li>Good problem-solving and analytical thinking skills.</li><li>Ability to work in a collaborative team environment.</li><li>Strong communication and documentation skills.</li><li>Exposure to cloud platforms (AWS, GCP, Azure) for deploying AI models.</li><li>Experience with LLMs, prompt engineering, or GenAI tools.</li><li>Knowledge of data pipelines or MLOps concepts.</li><li>Experience in integrating AI with web or mobile applications.</li><li>Excellent English communication is essential.</li></ul>Send your resume to hr@appsians.com with the subject line: AI Automation Engineer ApplicationLocation: Lahore DHA Phase 4Job type: Full Time / onsiteJob Type: Full-timeWork Location: In person

AI Automation Engineer

Code Reve

Job Title: N8N &amp; AI Automation Engineer Location: On-site &ndash; Lahore, Pakistan Type: Full-time Experience: 1&ndash;2 years Timings: 6:00pm to 3:00amAbout the Role We're looking for an n8n &amp; AI Automation Engineer who can build smart, reliable automation systems from the ground up. You'll work at the intersection of automation and AI &mdash; designing workflows, integrating platforms, and creating AI-powered agents that solve real business problems. This is a hands-on role where you'll own the full lifecycle of automations, from idea to deployment to optimization.What You'll Do<ul><li>Build end-to-end automation workflows using n8n</li><li>Develop AI agent workflows powered by LLM APIs such as OpenAI and Anthropic</li><li>Connect CRMs, email tools, databases, and SaaS platforms through APIs and webhooks</li><li>Automate outreach, lead generation, follow-ups, and other repetitive business processes</li><li>Monitor, troubleshoot, and improve existing workflows for speed and reliability</li><li>Write clear documentation for every workflow you build</li><li>Work closely with the team to understand business needs and translate them into automated solutions</li></ul>What You Must Have<ul><li>1&ndash;2 years of hands-on experience building workflows in n8n</li><li>Proven experience working with AI agents and LLM APIs</li><li>Solid understanding of APIs, webhooks, JSON, and basic JavaScript</li><li>Experience integrating CRMs, email platforms, and third-party tools</li><li>Strong logical thinking and problem-solving ability</li><li>Clear communication skills with the ability to document and explain technical workflows</li></ul>Nice to Have<ul><li>Experience with other automation platforms like Make or Zapier</li><li>Background in B2B outreach, sales automation, or lead generation workflows</li><li>Familiarity with voice AI tools such as ElevenLabs or Whisper</li><li>Experience with databases (SQL/NoSQL) and REST/GraphQL APIs</li><li>Exposure to managing automations for multiple client accounts</li><li>Understanding of prompt engineering and automation security best practices</li></ul>What We Offer<ul><li>Competitive salary based on experience</li><li>Work directly with founders and core team members</li><li>Ownership of real, production-level automation projects</li><li>Daily hands-on work with AI and cutting-edge automation tools</li><li>A collaborative, fast-moving environment built around learning and growth</li></ul>How to Apply Submit your resume along with examples of n8n workflows you've built. A short video walkthrough of your best automation is a strong plus.Job Types: Full-time, Contract Contract length: 12 monthsPay: Rs50,000.00 - Rs100,000.00 per monthApplication Question(s):<ul><li>What is your current and expected salary?</li><li>How soon will you able to join?</li></ul>Experience:<ul><li>AI Automation: 2 years (Required)</li></ul>Work Location: In person

N8N & AI Automation Engineer

Appetiser

<div>&ldquo;Everyday I help turn dreams into reality, and this is why I say this is the best role I have ever had&rdquo; - Jarrod Macfarlane, Appetiser team member 
<ul><li>
Do you want to use AI and LOW-CODE to automate businesses to greatness?</li><li>
Are you someone who is DRIVING themselves to peak performance?</li><li>
Are you excited by HELPING PEOPLE creating technology that impacts millions every day?</li></ul>
If you answered YES to these questions, you may be a fit for Appetiser Apps. 
Join a high-performance team who are striving to go from an Australian market leader to a worldwide phenomenon. Our competitors cannot keep up with our technology, pace, and track record of successful clients.
We need ambitious people like YOU to help us grow by 10X over the next 5 years.<h3 class="jobSectionHeader">
You will&hellip;</h3><ul><li>
BUILD internal automation systems using powerful no-code tools like Coda, ClickUp, Zapier, and HubSpot.</li><li>
DESIGN, DEVELOP, and DEPLOY automation workflows using AI, no-code and low-code platforms to streamline CRM operations.</li><li>
CHAMPION with teams across the company to uncover inefficiencies, recommend automation opportunities and implement cutting-edge AI-driven solutions</li><li>
EXPLORE and TEST new technologies to enhance team capabilities and elevate system performance.</li><li>
MANAGE data architecture and governance, and oversee data projects for better organization-wide efficiency.</li><li>
PLAN and EXECUTE automation projects and campaigns, managing risk and impact, and ensuring smooth completion.</li><li>
ACT as A CONSULTANT, guiding the company in process optimization, automation adoption, and AI-driven strategies.</li><li>
KEEP teams informed with status updates, project progress, and post-project analysis for continuous improvement.</li><li>
EXPLORE and TEST new technologies to enhance team capabilities and elevate system performance.</li></ul> 
The right fit for this role is DETERMINED and AMBITIOUS with:<ul><li>
WORK ETHIC that leaves others in their dust</li><li>
Strong PEOPLE LEADERSHIP SKILLS and a passion for getting the most out of people.</li><li>
Relentless desire to BECOME YOUR VERY BEST, and can prove it!</li><li>
DEEP KNOWLEDGE in no-code or low-code solutions with bonus points for Coda.io, Hubspot, Zapier &amp; APIs</li><li>
A TRACK RECORD of past process engineering, automation, or development successes regardless of the industry</li><li>
BONUS: Experience as an ENGINEER, DATA ANALYST, MARKETER, or PRODUCT MANAGER. 
</li></ul><h3 class="jobSectionHeader">
Join our team</h3><ul><li>
Flexible Work Arrangements: The ability to work from anywhere in the world as long as you perform.</li><li>
Accelerate Your Career: After probation, you get performance reviews every 6 months. Progress based on merit faster than ever before.</li><li>
Become Your Best: Set personal &amp; professional goals every quarter with your talent coach. Get optional counselling along the way.</li><li>
Give Back To Your Community: When you join our team, we will send a kid to school on your behalf with World Vision. So far, we have sponsored over 150+ children for our team.</li><li>
Global Impact: Build products that reach users worldwide and truly make a difference in the world! Be empowered to make decisions.</li><li>
Public Recognition: Track your achievements as you build a personal portfolio &amp; track record.</li><li>
Join a Culture of Drivers: Become part of a team that&rsquo;s striving to be their very best.</li></ul>
If this resonates with you, please apply today. 
P.S. We're hiring multiple individuals. If you want to recommend someone, please email us; an attractive referral bonus awaits! 
P.P.S. If you have any questions, email us at talent.acquisition@appetiserapps.com</div>

Marketing Tech Specialist (CRM)

Lab23 Technology

Job Title: Junior Backend Engineer (Node.js + FastAPI)Experience: 1 &ndash; 1.5 Years Location: Bahria Town Lahore Company: LAB23 TechnologiesAbout LAB23 TechnologiesLAB23 Technologies is an AI-driven product development company building scalable SaaS platforms and AI Agents across E-commerce (Zanderio AI), Real Estate, FinTech, and Energy Systems.We specialize in designing intelligent backend systems that power AI agents, automation workflows, predictive engines, and conversational systems.We are looking for a driven Junior Backend Engineer who is comfortable working with both Node.js and Python (FastAPI) and is eager to contribute to AI-powered system architecture.Role OverviewAs a Junior Backend Engineer, you will:<ul><li>Build scalable backend systems</li><li>Work on AI Agent workflows and orchestration</li><li>Handle complex data structures and system logic</li><li>Contribute to multi-language backend architecture (Node.js + FastAPI)</li></ul>This role is ideal for someone who understands backend fundamentals deeply and wants exposure to AI infrastructure and intelligent systems.Key Responsibilities<ul><li>Develop and maintain backend services using Node.js</li><li>Build lightweight AI-related microservices using Python (FastAPI)</li><li>Design scalable RESTful APIs for SaaS and AI-driven applications</li><li>Work on AI Agent workflows (state management, memory, orchestration)</li><li>Manage structured and unstructured data pipelines</li><li>Integrate LLM APIs (OpenAI, Claude, etc.) with backend systems</li><li>Optimize backend performance and ensure production stability</li><li>Contribute to backend architecture planning and documentation</li><li>Debug and resolve system-level issues in staging/production</li><li>Collaborate with AI Engineers and Frontend teams</li></ul>Technical Requirements Must Have:<ul><li>1 &ndash; 1.5 years of backend experience</li><li>Strong proficiency in Node.js</li><li>Good working knowledge of Python</li><li>Experience building APIs using:</li><li>Express.js / Node frameworks</li><li>FastAPI (or similar Python framework)</li><li>Strong understanding of:</li><li>Async programming</li><li>Middleware architecture</li><li>JWT authentication</li><li>API security best practices</li><li>Experience with databases:</li><li>MongoDB (preferred)</li><li>OR PostgreSQL / MySQL</li><li>Understanding of system design basics</li><li>Experience with Git and version control</li></ul>Good to Have:<ul><li>Experience integrating AI APIs (OpenAI, Anthropic, etc.)</li><li>Understanding of vector databases (Pinecone, Weaviate, etc.)</li><li>Knowledge of Redis / caching</li><li>Experience with Docker</li><li>Exposure to microservices architecture</li><li>Experience building SaaS backend systems</li></ul>What We&rsquo;re Looking For<ul><li>Strong logical and analytical mindset</li><li>Ability to understand complex workflows</li><li>Comfort working with data-heavy systems</li><li>Clean coding standards and modular design approach</li><li>Ownership mentality</li><li>Ability to work in a fast-paced startup environment</li></ul>Growth OpportunityAt LAB23, you will:<ul><li>Work on real AI Agent systems</li><li>Contribute to scalable SaaS platforms</li><li>Learn advanced backend and system architecture</li><li>Gain hands-on exposure to AI integrations</li><li>Grow into Mid-Level Backend or AI Systems Engineer</li></ul>High performers can move toward:<ul><li>AI Backend Specialist</li><li>System Architect</li><li>Technical Lead (Long-term path)</li></ul>CompensationCompetitive salary based on skill and performance. Performance-based growth opportunities available.Job Type: Full-timePay: From Rs50,000.00 per monthAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Work Location: In person

Junior Backend Engineer (Node.js + FastAPI)

Xeven Solutions Pvt. Ltd

Role OverviewWe are looking for a proactive AI Backend Engineer with 1&ndash;2 years of experience to join our team. The ideal candidate is someone who lives at the intersection of FastAPI and LangChain, with a passion for building autonomous agents and sophisticated automation workflows.Key ResponsibilitiesAI Integration: Design and deploy production-ready LLM applications using LangChain and LangGraph.Backend Development: Request lifecycle, async concepts, middleware, authentication, caching basics, background tasks/queues (nice to have), performance considerations.Agentic Workflows: Develop and orchestrate AI Agents capable of multi-step reasoning and tool use.Automation: Create complex, self-healing automation pipelines using tools like n8n.Intelligent Scraping: Implement AI-powered web scraping tools (e.g., Firecrawl, Crawl4AI, or custom LLM-based parsers) to gather and structure unstructured data.Data Management: Design and manage relational schemas in PostgreSQL or MySQL, ensuring data integrity for AI-driven features.Prompt Engineering: Prompt structuring, few-shot techniques, evaluation, prompt iteration, and guardrails.API design, authentication, logging, error handling, rate limiting, and monitoring.Technical RequirementsExperience: 1&ndash;2 years in a professional software development environment.Backend Mastery: Strong grasp of core backend concepts (RESTful APIs, Asyncio, Auth, Middleware) and database management.AI Stack: Hands-on experience with LLM orchestration (RAG pipelines, vector databases) and Agentic frameworks.Prompt Engineering: Proven ability to write &quot;system-level&quot; prompts that handle edge cases and maintain personas.Web Scraping: Proficiency in bypassing modern bot detection and using AI to extract structured data from chaotic web pages.Soft Skills &amp; LeadershipEffective Communicator: Able to explain why a certain model or prompt strategy was chosen to non-technical stakeholders.Self-Reliant &amp; Reliable: You take ownership of a feature from &quot;idea&quot; to &quot;deployment&quot; without constant hand-holding.Leadership Mindset: Even with 1&ndash;2 years of experience, you should be ready to mentor interns or lead specific AI initiatives within the team.Documentation: Ability to clearly document API endpoints and AI logic flow.Nice-to-Have SkillsExperience with Docker, CI/CD, or deploying services to cloud platforms (AWS/GCP/Azure).Observability experience: logging/metrics/tracing (e.g., OpenTelemetry, Prometheus, Grafana).Background job processing (Celery/RQ) or message queues (RabbitMQ/Kafka).Experience with vector databases (e.g., pgvector, Pinecone, Weaviate, etc.).Familiarity with frontend integration patterns for chat UIsJob Type: Full-timeWork Location: In person

Python Developer

Motive

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div><div><h3 class="jobSectionHeader">
About the Role:</h3>

As a Cloud Ops Engineer in the Platform Engineering organization, you will be a core member of the team responsible for the operational health, reliability, and observability of the entire Motive platform. Your mission is to ensure our globally distributed, highly-available systems recover from issues quickly and help ensure we avoid future issues. You will spearhead the effort to manage incident response, build world-class monitoring systems, and drive automation across all operational workflows. This is a critical role that improves the daily lives of engineers and ensures a consistent, high-quality experience for all our customers, across all our complex tech stacks from our core SaaS product to our mobile and AI-powered embedded systems. If you are passionate about high-leverage work, automation, continuously improving critical systems and processes, being involved across all areas of engineering, and are able to be the strong calm in the middle of incidents, this is the perfect role for you.
<h3 class="jobSectionHeader">
What You'll Do:</h3>
<ul><li>Own and refine the incident management lifecycle and be the incident commander, running communication and triage, and post-incident analysis and follow-ups to drive continuous service improvement.</li>
<li>Manage the central on-call solution and integrations used by over 100 teams from different monitoring and other platforms, leveraging automation and self-serve tools such as terraform.</li>
<li>Analyze operational statistics (MTTR, incident frequency, service-level data) to identify trends and prioritize reliability initiatives and teams&rsquo; focus.</li>
<li>Improve change management processes and automation to reduce both risk and friction.</li>
<li>Collaborate with engineering teams across the organization to standardize operational practices and develop automated workflows.</li>
<li>Leverage AI for incident analysis, alert/issue solutioning, and automation.</li>
</ul><h3 class="jobSectionHeader">What We're Looking For:</h3>

We are looking for an individual with prior experience in cloud operations, site reliability engineering, or a similar field, who has a passion for improving system reliability and operational processes in a large-scale, distributed environment.
<ul>
<li>Experience managing and participating in a 24/7 on-call rotation and incident response process.</li>
<li>Experience with on-call systems such as Rootly, PagerDuty, Opsgenie, etc.</li>
<li>Experience with monitoring and observability tools (e.g., Datadog, NewRelic, Grafana, etc.).</li>
<li>Ability to communicate clearly and manage incidents, communications, and action items with stakeholders from engineers to directors, and public-facing messaging.</li>
<li>Experience with IT Service Management tools (Jira/JSM) for ticket and change management.</li>
<li>3+ years experience in an incident response role.</li></ul> 

<h3 class="jobSectionHeader">
Bonus Skills to have:</h3>
<ul><li>Experience with Infrastructure as Code (IaC) tools such as Terraform.</li>
<li>Scripting and automation skills in at least one modern language (Python, Go, Bash) - AI-coding assistance welcomed.</li>
<li>Prior experience in an Ops or SRE team supporting a diverse cloud product.</li>
</ul></div><div>
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.</div></div>

Cloud Ops Engineer New

Murkez Technologies

<div>
 
 
 Finance Automation &amp; AI Specialist
 
 
 
 
 
 Murkez Technologies
 
 is looking for a
 
 Finance Automation &amp; AI Specialist
 
 to support the growing volume of repetitive bookkeeping and finance work across our customer base. This is a hands-on role focused on understanding existing finance workflows and helping automate, streamline, and standardize them for better efficiency and scalability.
 
 
 <ul>
 <li>
 Analyze existing bookkeeping and finance workflows across different customers
 
 </li>
 <li>
 Identify repetitive, manual, or error-prone processes and opportunities for automation
 
 </li>
 <li>
 Design and implement simple automations, scripts, or AI-assisted workflows
 
 </li>
 <li>
 Leverage AI tools (e.g., copilots, LLMs, OCR, workflow automation tools) to improve efficiency
 
 </li>
 <li>
 Help standardize finance processes so they can be reused across multiple clients
 
 </li>
 <li>
 Collaborate with finance, operations, and product teams to understand requirements
 
 </li>
 <li>
 Document processes, automations, and best practices clearly for future reuse
 
 </li>
 <li>
 Continuously experiment, learn, and iterate on new tools and approaches
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 
 <ul>
 <li>
 
 3&ndash;4 years of experience
 
 in finance, accounting, bookkeeping, operations, or a related role with strong understanding of core finance and bookkeeping processes (AP, AR, reconciliations, close, reporting, etc.)
 
 </li>
 <li>
 Practical, hands-on exposure to one or more of the following:
 
 </li>
 <ul>
 <li>
 AI tools or copilots
 
 </li>
 <li>
 Workflow automation platforms (e.g., Zapier, Make, Power Automate, etc.)
 
 </li>
 <li>
 Scripting or light coding (Python, SQL, VBA, Apps Script, or similar)
 
 </li>
 <li>
 Process optimization or systems implementation
 
 </li>
 </ul>
 <li>
 Comfortable working with data, spreadsheets, and finance systems
 
 </li>
 <li>
 Comfortable with working US hours / late evenings
 
 </li>
 <li>
 Tech-forward, adaptable and practical
 </li>
 <li>
 Curious, proactive, and willing to experiment and learn by doing
 
 </li>
 <li>
 Able to balance structure with scrappiness in a fast-evolving environment
 
 </li>
 </ul>
 
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 Experience supporting multiple clients or stakeholders
 
 </li>
 <li>
 Familiarity with accounting software (e.g., QuickBooks, NetSuite, Xero, etc.)
 
 </li>
 <li>
 Exposure to OCR, document processing, or AI-based data extraction
 
 </li>
 <li>
 Interest in scaling internal tools and reusable solutions
 
 </li>
 </ul>
 
 
 Why This Role Matters
 
 
 
 <ul>
 <li>
 Direct impact on efficiency and scalability across our customer base
 
 </li>
 <li>
 Opportunity to work at the intersection of finance, automation, and AI
 
 </li>
 <li>
 Room to grow into a more senior automation, systems, or finance-ops role
 
 </li>
 <li>
 High ownership and visibility, with space to shape how we work
 
 </li>
 </ul>
</div>

AI Automation Specialist (Finance)

Explore 279+ Ai automation engineer in Test Jobs In Lahore this February. Find roles across top companies and apply now to boost your career.