ielts & pte trainer

ielts & pte teacher

ielts & pte instructor

ai architect

ai/ml engineer

ai tools prompt engineering instructor

Tech101 SMC (Private-Limited)

About Tech101 Tech101 is an IT education platform under Cubex Technologies, focused on delivering practical, career-relevant tech skills to students across Pakistan and the Gulf. Our courses are hands-on, outcome-driven, and designed for the real world &mdash; not textbooks.Role Overview We are looking for an instructor who can teach AI tools and prompt engineering to Tech101 students in Pakistan on a one-on-one basis, fully online. This is a part-time role with a per-student compensation model. You will be responsible for delivering structured course content to individual students, adapting your pace to each learner, and ensuring they leave every session with skills they can immediately apply.This is not a lecture role. Students pay to learn things that work. Your sessions need to reflect that.What You Will Be Teaching Practical use of AI tools: ChatGPT, Claude, Gemini, Midjourney, Perplexity, Notion AI, and others relevant to the curriculum.Prompt engineering fundamentals: structure, context, tone, role assignment, chaining, and iteration.Prompt patterns for specific use cases: content creation, coding assistance, research, data summarization, and business productivity.How to evaluate AI output quality and refine prompts systematically.Responsible AI use: understanding limitations, hallucinations, bias, and appropriate verification practices.Workflow integration: how to embed AI tools into day-to-day professional tasks.Responsibilities Deliver scheduled one-on-one sessions with individual Tech101 students via video call.Adapt teaching pace and style to each student's level and learning speed Follow and teach from the provided Tech101 curriculum; flag gaps or areas needing updates.Prepare session materials, examples, and practical exercises where not already providedTrack student attendance and engagement per session Provide basic support and Q&amp;A within session time.Share session feedback and student progress notes with the Tech101 coordinator after each class Stay current with changes in AI tools and flag any curriculum updates needed.Requirements Must have: Demonstrated working knowledge of AI tools (ChatGPT, Claude, or equivalent) &mdash; not theoretical, practical.Ability to explain prompt engineering concepts clearly to beginners with no prior AI background.Experience teaching, training, or tutoring in any technical subject (formal or informal).Strong spoken and written English.Reliable internet connection, a functional laptop/PC, and a quiet space for video sessions.Based anywhere in Pakistan.Good to have: Background in IT, computer science, digital marketing, or a related field.Experience creating course content or lesson plans.Familiarity with tools like Notion, Canva AI, Gamma, or similar productivity-adjacent AI tools.Prior work or freelancing experience where AI tools were used professionally.Compensation Per student enrolled in your sessions. Rate will be communicated during the interview. Payment is processed monthly, at the end of each completed month.Schedule Part-time. Sessions are one-on-one and scheduled in advance. Exact timings are confirmed per student. Flexibility is available but punctuality and consistency are non-negotiable.How to Apply Send the following to hr@tech101.pk with the subject line &quot;AI Instructor &mdash; Tech101 Pakistan&quot;:A brief note (5&ndash;8 sentences) on your experience with AI tools and why you can teach this.Your CV or LinkedIn profile.One example prompt you've written and why it works &mdash; any tool, any use case.Applications without all three will not be reviewed.Tech101 Pakistan is an equal opportunity educator. We hire on merit.Job Type: Part-timePay: Rs5,000.00 - Rs8,000.00 per monthExperience:<ul><li>Teaching regarding AI Tools: 1 year (Preferred)</li></ul>Language:<ul><li>English (Required)</li></ul>License/Certification:<ul><li>AI Tools Certifications (Preferred)</li></ul>Work Location: Remote

AI Tools & Prompt Engineering Instructor

M&N Business

Job Title: AI &amp; Machine Learning Instructor (Visiting Faculty)Company: PNY Trainings &ndash; PNY GeniusLocation: Rawalpindi (RWP Branch)Job Type: Visiting / Part-Time InstructorSchedule:<ul><li>Days: Wednesday to Friday (Week Dayz)</li><li>Time: 02:00 PM &ndash; 04:00 PM</li><li>Mode: Online + On-Campus</li><li>Batch Duration: 1 Month (12 Classes)</li><li>Session Start: June 2026</li></ul>About the RolePNY Genius is looking for a passionate and experienced AI &amp; Machine Learning Instructor to deliver our &quot;AI for Young Genius&quot; program. The ideal candidate should be capable of teaching Artificial Intelligence, Machine Learning, and Data AI concepts in an engaging and practical manner to young learners.Key Responsibilities<ul><li>Deliver lectures on AI, Machine Learning, and Data AI.</li><li>Prepare and conduct practical demonstrations and hands-on activities.</li><li>Guide students through AI-based projects and assignments.</li><li>Monitor student performance and provide feedback.</li><li>Maintain attendance and academic records.</li><li>Coordinate with the Academic Department regarding course delivery.</li></ul>Course OutlineModule 1: Introduction to Artificial Intelligence<ul><li>What is AI?</li><li>AI in Everyday Life</li><li>Applications of AI</li></ul>Module 2: Machine Learning Fundamentals<ul><li>Introduction to Machine Learning</li><li>Types of Machine Learning</li><li>Real-World ML Examples</li></ul>Module 3: Data &amp; AI<ul><li>Introduction to Data</li><li>Data Collection and Processing</li><li>Role of Data in AI Systems</li></ul>Module 4: AI Tools &amp; Applications<ul><li>Generative AI Tools</li><li>AI Assistants and Chatbots</li><li>AI for Education and Creativity</li></ul>Module 5: Practical AI Projects<ul><li>AI-Based Mini Projects</li><li>Smart Predictions</li><li>Image and Text Recognition Basics</li></ul>Module 6: Future of AI<ul><li>Emerging AI Trends</li><li>Career Opportunities in AI &amp; Machine Learning</li><li>Ethical Use of Artificial Intelligence</li></ul>Requirements<ul><li>Bachelor's degree in Computer Science, Software Engineering, AI, Data Science, or a related field.</li><li>Practical knowledge of Artificial Intelligence and Machine Learning.</li><li>Teaching or training experience preferred.</li><li>Strong communication and presentation skills.</li><li>Ability to engage and mentor young learners.</li></ul>How to ApplyInterested candidates are encouraged to apply through Indeed or send their updated CV to the Hiring Department.Fatima Shakeel HR Executive PNY Group of Companies 0308-5552218 fatima.shakeel@pnygroup.co www.pnycareer.comPay: Rs1,500.00 - Rs1,800.00 per dayWork Location: In person

AI & Machine Learning Instructor (Visiting Faculty)

VISIONTECH PTE. LTD.

We are looking for a hands-on Prompt Engineer to design, refine, and optimize prompts that drive effective AI outputs across conversational bots, automation systems, and business workflows. This role combines creativity, linguistic precision, and technical experimentation to ensure scalable and reliable AI deployments.The ideal candidate understands both business processes and AI model behavior, and is able to translate use cases into structured prompts, templates, and interaction flows that maximize accuracy, efficiency, and usabilityKey ResponsibilitiesPrompt Engineering &amp; Conversational AI Design<ul><li>Design, write, test, and optimize prompts for LLM-based applications (chatbots, outbound AI callbots, AI assistants).</li><li>Structure multi-language prompts with proper flow control.</li><li>Improve response accuracy, reduce latency, and handle fallback scenarios.</li><li>Design objection handling, intent classification, and interaction outcomes.</li><li>Conduct A/B testing on prompts to optimize performance and engagement.</li></ul>Workflow Automation &amp; System Integration<ul><li>Design end-to-end workflow automation (e.g., CRM &rarr; Bot &rarr; Dashboard &rarr; Email/SMS &rarr; Reporting).</li><li>Configure AI agents and automation triggers (e.g., outbound tasks, callback logic).</li><li>Understand the integration process and be able to utilize systems such as CRM (e.g., HubSpot), email platforms, dashboards, and API endpoints.</li><li>Set up knowledge base (KB) configuration and dynamic variables.</li><li>Implement RBAC (Role-Based Access Control) where applicable.</li></ul>Technical Testing &amp; Quality Assurance<ul><li>Develop test scenarios (happy path, edge cases, language switch, unsupported language, DND, callback logic).</li><li>Conduct UAT and system validation before production deployment.</li><li>Monitor call status classification accuracy (Interested, Not Interested, SC-Callback, etc.).</li><li>Identify failure points (latency, incorrect tagging, data push errors).</li><li>Ensure conversation summaries are correctly pushed to CRM.</li></ul>Performance Monitoring &amp; Optimization<ul><li>Track bot engagement metrics and dashboard analytics.</li><li>Analyze transcripts and call outcomes to improve flow.</li><li>Optimize automation logic for scalability.</li><li>Work closely with DevOps / Engineering for deployment environments (Dev, Staging, Production).</li></ul>Documentation &amp; Stakeholder Communication<ul><li>Document solution architecture and SOW components.</li><li>Prepare demo walkthroughs (data pull &rarr; setup &rarr; engagement &rarr; dashboard).</li><li>Translate business requirements into technical implementation plans.</li><li>Provide clear post-implementation summaries and reporting.</li></ul>Requirements:Technical Skills<ul><li>Strong prompt engineering for LLM-based systems (ChatGPT, Claude, etc.)</li><li>Conversational AI flow design</li><li>Workflow automation tools (Zapier, Make, n8n, or custom systems)</li><li>CRM integration understanding (HubSpot preferred)</li><li>API understanding (RESTful APIs, webhooks)</li><li>Basic understanding of cloud infrastructure (AWS is a plus)</li><li>Structured testing methodology (UAT, edge case testing)</li></ul>Analytical &amp; Business Skills<ul><li>Ability to map business use cases into AI workflows</li><li>Strong problem-solving mindset</li><li>Experience with automation efficiency and process improvement</li><li>Understanding of call flow behaviour &amp; objection handling logic</li><li>Data-driven optimization</li></ul>Preferred Qualifications<ul><li>Experience in AI callbots or outbound automation systems</li><li>Experience handling multilingual conversational AI</li><li>Experience in performance monitoring dashboards</li><li>Exposure to Dev / Staging / Production environment management</li><li>Background in Product, AI, Automation, or Digital Transformation</li></ul>Pay: Rs173,000.00 - Rs400,000.00 per monthApplication Question(s):<ul><li>Are you able to work in a fast-paced environment and multi tasks?</li><li>What prompt engineering tools that you use?</li><li>Do you have any experience in designing/refining prompt for AI chatbot/callbot?</li></ul>Experience:<ul><li>Prompt Engineer/Workflow Automation: 2 years (Preferred)</li></ul>Work Location: Remote

Prompt Engineer

Global Rescue

<div>
 
 Company
 
 
 
 
 Brief Description
 
 
 
 Global Rescue is the world&rsquo;s leading membership organization providing integrated medical, security, intelligence and crisis response services to consumers, enterprises and governments. Founded in 2004 Global Rescue&rsquo;s unique operational model provides best-in-class services that identify, monitor, and respond to threats and emergencies. For more information, please see www.globalrescue.com.
 
 
 
 Role Overview
 
 
 
 Global Rescue is seeking a versatile and driven Software Engineer &ndash; AI/LLM Applications with a strong focus on building AI-enabled enterprise software solutions. This role is intended for a strong software engineer who has hands-on experience with enterprise application development and has moved into AI-first development using LLMs, agents, automation, and modern AI engineering tools.
 
 
 This role focuses on building production-ready features, AI agents, assistants, and intelligent workflow systems that can use tools, call APIs, integrate with enterprise applications, reason over business context, and support both short-running and long-running business processes.
 
 
 This is primarily a software engineering role focused on building AI-enabled product features within enterprise systems, not a pure data science, ML research, or AI scripting-only position.
 
 
 The role involves integrating third-party LLMs such as OpenAI, Google Gemini, Claude, and other model providers into enterprise systems, while developing AI-powered features such as chatbots, assistants, Q&amp;A systems, contextual search, RAG pipelines, workflow automation, and agentic business processes.
 
 
 You will work on prompt engineering, embedding-based customization, lightweight fine-tuning, structured outputs, tool-calling, agent evaluation, validation flows, and modern agent frameworks such as Pydantic AI, Claude Agent SDK, OpenAI Agents SDK, LangGraph, or similar tools.
 
 
 The role may also involve developing capabilities in speech-to-text, text-to-speech, audio classification, sentiment analysis, intent recognition, and emotion detection to support multimodal AI experiences. Strong software engineering fundamentals, Python skills, applied AI/LLM knowledge, and experience integrating AI into real-world production applications are essential.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build, enhance, and integrate AI/LLM capabilities into enterprise applications and business systems built on any of the following technology stacks: Java, Spring Boot, Kotlin, .NET, Dynamics 365, or similar platforms, ensuring AI-enabled features are developed with strong software engineering fundamentals, clean architecture, reliable integrations, scalability, maintainability, and modern AI-first development practices.
 </li>
 <li>
 Integrate, leverage, and customize LLMs such as OpenAI, Gemini, Claude, and similar providers through APIs to enhance enterprise product features including chatbots, Q&amp;A systems, contextual search, workflow automation, and AI-assisted user experiences.
 </li>
 <li>
 Design, build, and deploy practical agentic AI systems that work within existing enterprise applications and are capable of handling short-running task execution as well as long-running, multi-step workflows involving APIs, databases, vector stores, and business systems.
 </li>
 <li>
 Design and implement prompt engineering strategies, structured outputs, tool-calling patterns, lightweight model customization techniques, and validation flows to adapt AI capabilities to business-specific software use cases.
 </li>
 <li>
 Build retrieval-augmented generation pipelines by integrating LLMs with vector stores such as FAISS, Pinecone, Qdrant, or similar platforms for reliable and dynamic knowledge grounding.
 </li>
 <li>
 Develop backend services, APIs, and integration components required to connect AI/LLM features with enterprise applications, databases, internal tools, and third-party systems.
 </li>
 <li>
 Develop AI components for speech processing, including speech-to-text, text-to-speech, audio classification, and voice-based workflows using tools and services such as Whisper, Google Speech APIs, Azure Speech, or similar platforms.
 </li>
 <li>
 Implement NLP and classification features such as sentiment analysis, intent recognition, entity extraction, summarization, and emotion detection using open-source libraries, cloud services, or third-party APIs.
 </li>
 <li>
 Follow an AI-first development approach by actively using modern AI coding assistants, LLM-based development tools, automation techniques, and rapid prototyping to improve productivity, code quality, debugging, documentation, and delivery speed.
 </li>
 <li>
 Collaborate with product, engineering, and business teams to identify opportunities where AI can improve workflows, automate repetitive tasks, enhance user experience, or support better decision-making.
 </li>
 <li>
 Develop clean, efficient, maintainable, and testable code using Python and/or relevant enterprise technology stacks, and actively participate in peer reviews, debugging, testing, CI/CD workflows, and MLOps/LLMOps-related activities.
 </li>
 <li>
 Monitor AI model performance, response quality, latency, token usage, and cost in production, and apply best practices for scalability, reliability, security, and cost-efficiency.
 </li>
 <li>
 Implement AI safety, validation, guardrails, error handling, fallback behavior, and evaluation checks to improve reliability of LLM-based workflows.
 </li>
 <li>
 Document workflows, implementation details, prompt strategies, model behavior, evaluation results, and integration patterns for cross-functional collaboration and long-term maintainability.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
 </li>
 <li>
 4+ years of software development experience, including 2&ndash;3 years of hands-on experience building enterprise applications using any of the following technology stacks: .NET, Java, Spring Boot, Dynamics 365, or similar systems, along with 1&ndash;2 recent years of hands-on AI/LLM application development, preferably within an enterprise stack or using Python.
 </li>
 <li>
 Practical experience integrating LLMs through APIs such as OpenAI, Gemini, Claude, or similar providers.
 </li>
 <li>
 Strong understanding of prompt engineering, embeddings, model customization techniques, and basic LLM evaluation approaches.
 </li>
 <li>
 Experience building AI agents, agentic workflows, or tool-using LLM applications that interact with APIs, databases, vector stores, and enterprise systems.
 </li>
 <li>
 Familiarity with modern AI/agent frameworks such as Pydantic AI, Claude Agent SDK, LangGraph, OpenAI Agents SDK, or similar tools.
 </li>
 <li>
 Knowledge of RAG architectures, vector databases such as Qdrant, Pinecone, Chroma, or FAISS, and common NLP tasks including summarization, sentiment analysis, entity recognition, and intent detection.
 </li>
 <li>
 Experience with audio-based AI applications such as speech-to-text, text-to-speech, audio classification, and emotion or sentiment detection.
 </li>
 <li>
 Experience with REST APIs, FastAPI or similar backend frameworks, microservices, Docker, cloud platforms such as AWS, and GPU-enabled environments.
 </li>
 <li>
 Understanding of production concerns for LLM-based and agentic systems, including observability, latency, cost management, error handling, permissions, prompt/version management, security, and scalable deployment.
 </li>
 <li>
 Strong problem-solving skills, software design fundamentals, ownership mindset, and ability to work collaboratively in a team environment.
 
 
 </li>
 </ul>
 
 LOCATION:
 
 Islamabad
 
 
 
 COMPENSATION:
 
 Based on experience + bonus + benefits
</div>

Software Engineer – AI/LLM Applications

iCareManager

Job DescriptionAbout the RoleWe are seeking a highly skilled Performance Marketing &amp; AI Marketing Specialist to help scale our marketing engine through data-driven performance marketing, AI-powered workflows, and full-funnel campaign optimization.The top priority for this role is strong, hands-on expertise in end-to-end performance marketing. The ideal candidate understands how to plan, launch, optimize, and report on campaigns across the full customer journey, including paid media strategy, lead generation, funnel optimization, conversion tracking, landing page performance, retargeting, campaign analytics, and ROI-focused reporting.This role is especially well suited for someone with experience in healthcare technology, B2B marketing, senior care, assisted living, long-term care, or other healthcare-related audiences. The right candidate should know how to build campaigns that generate qualified leads, improve conversion rates, and support measurable business growth.In addition to performance marketing, this person should be highly capable with modern AI marketing tools. They should understand prompt engineering, AI-assisted campaign execution, and agentic marketing workflows, including how to help build, test, and optimize AI agents that improve marketing operations. This includes using AI not only for content creation, but also for campaign automation, reporting, lead nurturing, audience research, workflow efficiency, and marketing performance improvement.Reporting directly to the CMO, this role will play a key part in scaling marketing across paid, organic, social, email, and AI-enabled channels. We are looking for someone who is strategic, analytical, execution-focused, and comfortable using both marketing fundamentals and emerging AI tools to drive measurable growth.Key Responsibilities:<ul><li>Own and optimize performance marketing campaigns across paid search, paid social, retargeting, display, and other high-converting channels</li><li>Build, manage, and improve full-funnel paid marketing campaigns focused on lead generation, conversion, and measurable ROI</li><li>Develop landing page strategies, campaign funnels, ad messaging, A/B tests, and conversion optimization plans</li><li>Set up, monitor, and analyze campaign tracking, including pixels, UTMs, conversion events, attribution, and reporting dashboards</li><li>Manage and optimize campaigns for audiences such as assisted living facilities, senior care providers, healthcare technology buyers, and related B2B decision-makers</li><li>Use AI tools and prompt engineering to improve campaign strategy, ad creative, audience research, messaging, content development, and reporting</li><li>Help build and manage AI agents that support marketing workflows, including lead nurturing, campaign execution, content pipelines, reporting, and marketing automation</li><li>Apply agentic AI marketing strategies to improve speed, personalization, efficiency, and campaign performance</li><li>Create, test, and refine high-quality prompts for AI-assisted copywriting, campaign ideation, market research, competitor research, and performance analysis</li><li>Support social media marketing efforts across organic and paid channels, including content planning, campaign execution, engagement, and performance review</li><li>Write and edit marketing copy for ads, landing pages, emails, social media, lead magnets, and campaign assets</li><li>Manage email marketing campaigns, including segmentation, automation workflows, lead nurture sequences, A/B testing, and performance tracking</li><li>Use tools such as GoHighLevel, HubSpot, Meta Ads Manager, Google Ads, LinkedIn Ads, Google Analytics, Looker Studio, ClickUp, Asana, or similar platforms</li><li>Collaborate with design, sales, product, and leadership teams to align messaging, campaign strategy, and business goals</li><li>Monitor, analyze, and report on campaign performance, turning data into clear recommendations and next steps</li></ul>Requirements:Required Skills &amp; Qualifications<ul><li>3-5+ years of hands-on marketing experience, with a strong focus on performance marketing</li><li>Advanced knowledge of performance marketing, including paid ads, funnel strategy, conversion optimization, lead generation, tracking, analytics, and ROI reporting</li><li>Proven experience managing paid campaigns across platforms such as Google Ads, Meta Ads, LinkedIn Ads, or similar channels</li><li>Strong understanding of B2B marketing, preferably in healthcare tech, senior care, assisted living, long-term care, SaaS, or related industries</li><li>Strong prompt engineering skills with practical experience using AI tools for marketing strategy, copywriting, content generation, research, and campaign optimization</li><li>Experience with AI agentic marketing and the ability to help build, manage, or improve AI agents for marketing workflows</li><li>Working knowledge of social media marketing, including organic content, paid social campaigns, audience targeting, and performance analysis</li><li>Experience with marketing automation platforms such as GoHighLevel, HubSpot, or equivalent tools</li><li>Ability to define KPIs, build dashboards, analyze performance, and communicate insights clearly</li><li>Strong copywriting and editing skills for ads, landing pages, emails, and social media content</li><li>Excellent written and verbal communication skills in English</li><li>Strong organizational skills and ability to manage multiple campaigns and priorities in a remote environment</li><li>Self-driven, proactive, analytical, and comfortable working in a fast-moving marketing environment</li></ul>Preferred Qualifications<ul><li>Experience marketing to assisted living facilities, senior living communities, healthcare providers, or care management organizations</li><li>Experience in healthcare technology, SaaS, or B2B lead generation</li><li>Experience building or managing AI agents for marketing, sales enablement, or customer acquisition workflows</li><li>Familiarity with SEO, AEO, GEO, and AI-driven search visibility strategies</li><li>Experience with CRM workflows, lead scoring, nurturing campaigns, and lifecycle marketing</li><li>Ability to combine creative marketing ideas with data-driven decision-making</li></ul>Ideal Candidate ProfileThe ideal candidate is a performance marketer first, with strong AI and automation skills. They know how to drive qualified leads, optimize campaigns, improve conversion rates, and use data to make smart marketing decisions.They are also deeply curious about AI and understand how prompt engineering, AI agents, and automation can make marketing faster, smarter, and more scalable.This person should be comfortable working independently, testing new ideas, analyzing results, and continuously improving campaigns to support growth.Benefits<ul><li>A dynamic and collaborative work environment.</li><li>Opportunities for professional growth and skill development.</li><li>Competitive salary and benefits package.</li><li>The chance to play a key role in revolutionizing the healthcare technology industry.</li></ul>Application Question(s):<ul><li>How many years of hands-on performance marketing experience do you have (Google Ads, Meta Ads, LinkedIn Ads, etc.)</li><li>Which AI marketing tools, AI agents, or automation platforms have you used in your marketing campaigns?</li><li>Do you have experience with B2B marketing in Healthcare Technology, Senior Care, Assisted Living, Long-Term Care, or SaaS? If yes, briefly specify.</li><li>Which marketing platforms and tools are you most proficient in (e.g., Google Ads, Meta Ads, LinkedIn Ads, HubSpot, GoHighLevel, GA4, Looker Studio)?</li><li>This position follows an EST (Eastern Standard Time) work schedule. Are you comfortable working in the EST time zone?</li><li>Could you please share your current salary?</li><li>What are your salary expectations for this role?</li></ul>Work Location: Remote

Performance Marketing & AI Marketing Specialist

Ai Textiles

ey Responsibilities<ul><li>Design packaging, labels, hang tags, and barcodes for terry towel product lines</li><li>Create catalogues, lookbooks, and price lists for buyers and trade shows</li><li>Use AI tools (Midjourney, Photoshop AI, Canva AI, Runway, etc.) to generate product photos and lifestyle shots when physical photoshoots aren't feasible</li><li>Produce short AI-generated or AI-enhanced product videos/reels for marketplace listings and social media (Amazon A+ content, Daraz, Instagram, TikTok)</li><li>Create realistic mockups (towels on models, in bathrooms, gift packaging, etc.) using AI image generation</li><li>Edit and enhance real product photography with AI upscaling, background removal, and retouching tools</li><li>Prepare print-ready artwork (CMYK, dielines) and coordinate with printing vendors</li><li>Maintain brand consistency across AI-generated and traditional design assets</li></ul>Requirements<ul><li>Bachelor's in Graphic Design, Fine Arts, Multimedia, or related field (or equivalent experience)</li><li>1&ndash;3 years' experience, preferably in textiles, e-commerce, or digital marketing</li><li>Proficiency in Adobe Photoshop, Illustrator, Premiere/CapCut</li><li>Hands-on experience with AI image/video generation tools (Midjourney, DALL-E, Canva Magic Studio, Runway, Pika, Sora, or similar)</li><li>Strong portfolio showing both traditional design and AI-generated content.</li></ul>Understanding of marketplace content requirements (image sizes, video specs for Amazon/Daraz/Alibaba)Nice to Have<ul><li>Experience with product photography basics (to guide AI-generated realism)</li><li>Familiarity with e-commerce SEO/visual best practices</li><li>Knowledge of prompt engineering for consistent brand-style AI outputs</li></ul>Work Location: In person

Graphic Designer

Octo Outsourcing

AWS Native Full-Stack / AI Platform DeveloperLocation: Pakistan / Remote Employment Type: Full-time Company: Octo Apps / OctoApps.ai Department: Cloud, AI Engineering, DevOps &amp; Platform Operations Reports To: Chief Architect / Principal AI DeveloperAbout the RoleWe are looking for a strong all-rounder AWS Native Developer who can take full ownership of development, testing, security, deployment, troubleshooting, and platform operations for the Octo Apps platform on AWS.This role is not limited to coding only. The ideal candidate must understand how application development, AWS infrastructure, DevOps, testing, monitoring, security, APIs, and AI features work together to deliver a stable, scalable, and production-ready platform. The candidate will be responsible for helping us complete, stabilize, secure, and operate Octo Apps with a target of 99.99% availability.You will work directly with the Chief Architect to build and manage Octo Apps AI, including AI-powered developer productivity tools, automation workflows, RAG-based knowledge systems, phone-system integrations, messaging APIs, and cloud-native application services.Key Responsibilities<ul><li>Take end-to-end ownership of assigned Octo Apps modules, including development, testing, deployment, monitoring, troubleshooting, and support.</li><li>Develop, improve, and stabilize AWS-native applications, backend services, APIs, automation workflows, and AI-powered features.</li><li>Manage AWS infrastructure and cloud services such as Lambda, API Gateway, S3, CloudFront, ECS/Fargate, EC2, RDS, DynamoDB, IAM, CloudWatch, Route 53, Secrets Manager, Bedrock, and related services.</li><li>Ensure platform reliability, uptime, performance, scalability, and production readiness with a target of 99.99% availability.</li><li>Build and maintain monitoring, alerting, logging, backup, recovery, and incident-response processes.</li><li>Perform application testing, integration testing, API testing, regression testing, security testing, and production validation before releases.</li><li>Identify, troubleshoot, and resolve issues across application code, APIs, database, AWS infrastructure, IAM permissions, environment variables, DNS, SSL, networking, and deployment pipelines.</li><li>Implement security best practices, including IAM least privilege, secrets management, secure API authentication, encrypted storage, secure deployments, and access control.</li><li>Work on AI application features such as prompt workflows, RAG pipelines, vector search, document ingestion, AI agents, automation tools, and AI API integrations.</li><li>Integrate third-party APIs including Meta, WhatsApp, Messenger, Telnyx, Twilio, SendGrid, Stripe, AI APIs, CRM tools, and other business systems.</li><li>Build and maintain CI/CD pipelines using GitHub Actions or similar tools.</li><li>Document architecture, deployment steps, troubleshooting guides, test cases, release procedures, and operational runbooks.</li><li>Proactively recommend improvements for performance, security, reliability, automation, and cost optimization.</li><li>Provide regular status updates, identify risks early, and take ownership until issues are fully resolved.</li></ul>Required Skills<ul><li>Strong hands-on experience with AWS cloud services and cloud-native application development.</li><li>Good understanding of infrastructure, networking, IAM, serverless, containers, APIs, monitoring, logging, and cloud security.</li><li>Backend development experience using Node.js, Python, FastAPI, Express.js, NestJS, or similar technologies.</li><li>Frontend understanding with React, Next.js, or modern web application frameworks.</li><li>Experience building, consuming, securing, and debugging REST APIs.</li><li>Experience with databases such as PostgreSQL, MySQL, MongoDB, DynamoDB, or RDS.</li><li>Understanding of AI APIs, including OpenAI, Claude, AWS Bedrock, or similar platforms.</li><li>Familiarity with RAG, embeddings, vector databases, prompt engineering, AI workflows, or AI agents.</li><li>Experience with Git, GitHub, CI/CD, environment management, and production deployments.</li><li>Strong testing mindset, including unit testing, integration testing, API testing, regression testing, and release validation.</li><li>Strong security mindset, including authentication, authorization, secrets handling, secure APIs, and access control.</li><li>Ability to debug independently and take ownership of issues until resolution.</li></ul>Preferred Skills<ul><li>Experience with AWS Bedrock, SageMaker, Lambda, ECS/Fargate, DynamoDB, RDS, S3, CloudFront, CloudWatch, Route 53, and Secrets Manager.</li><li>Experience with vector databases such as Pinecone, Weaviate, Chroma, OpenSearch, pgvector, or similar.</li><li>Experience with Docker, Terraform, CloudFormation, AWS CDK, or infrastructure-as-code.</li><li>Experience with authentication systems such as OAuth, JWT, Cognito, Clerk, Auth0, or custom auth systems.</li><li>Experience integrating communication APIs such as Meta, WhatsApp, Messenger, Telnyx, Twilio, SendGrid, or similar.</li><li>Experience supporting production SaaS platforms, multi-tenant applications, developer tools, contact-center systems, or workflow automation products.</li><li>Basic knowledge of disaster recovery, high availability, load balancing, failover, backup strategy, and incident management.</li><li>AWS certification is a plus but not mandatory.</li></ul>Ideal Candidate ProfileWe need someone who can operate like a developer, DevOps engineer, tester, security-minded engineer, and production support owner. The ideal person should not wait for step-by-step instructions. They should be able to investigate problems, review logs, test fixes, improve architecture, secure the platform, document solutions, and make sure the system remains stable and available.This person must be comfortable working in a fast-moving startup environment where ownership, accountability, and problem-solving are more important than narrow job boundaries.Key Projects You May Work On<ul><li>Octo Apps AI developer productivity platform.</li><li>AI-powered automation and workflow tools.</li><li>RAG-based document and knowledge retrieval systems.</li><li>Phone system and messaging integrations with WhatsApp, Messenger, Telnyx, Twilio, and other APIs.</li><li>AWS-native backend services, APIs, infrastructure, and deployment automation.</li><li>Security, monitoring, logging, testing, backup, and high-availability improvements.</li><li>Internal admin dashboards, API routing, AI workflow orchestration, and production support tools.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, IT, or equivalent practical experience.</li><li>4+ years of software development, cloud engineering, DevOps, or platform engineering experience.</li><li>2+ years of hands-on AWS experience preferred.</li><li>Experience with AI application development, AI APIs, or automation platforms preferred.</li><li>Strong communication, ownership, documentation, and troubleshooting skills.</li></ul>CompensationMarket-competitive salary based on experience, ownership level, and technical capability. Performance-based growth opportunities may be available as the platform scales.How to ApplyPlease send your resume, GitHub/profile links, AWS project experience, production support experience, and examples of any AI/API/cloud projects you have worked on.Pay: Rs175,000.00 - Rs250,000.00 per monthWork Location: Remote

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