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infrastructure systems support engineer

Jade

About Jade:Jade is an architecture-led, governance-first technology firm delivering enterprise-grade solutions across infrastructure, cybersecurity, cloud, and digital systems.With strong capabilities in system integration and service operations, Jade designs, deploys, and supports secure, scalable, and reliable technology environments across enterprise and mission-critical projects.Role OverviewThe Infrastructure &amp; Systems Support Engineer is responsible for design support, deployment, configuration, and ongoing support of IT infrastructure and integrated systems.This role spans across:- Networking and infrastructure systems- Server and storage environments- Physical security and integrated systemsThe role works closely with delivery, sales, and service teams to ensure solutions are implemented and supported to high technical and operational standards.Key Responsibilities1. System Design Support &amp; Configuration- Support design and configuration of:- Network infrastructure (switches, routing, firewalls)- Server and storage systems- Integrated systems including security platforms- Ensure solutions align with client requirements and best practices2. Infrastructure Deployment- Install and configure:- Network devices (L2/L3 switches, routers)- Servers (Windows/Linux environments)- Storage systems- Support implementation of integrated solutions across projects3. Technical Support &amp; Troubleshooting- Provide on-site and remote technical support- Troubleshoot issues across:- Network infrastructure- Server environments- Integrated systems (hardware/software)- Ensure minimal downtime and timely resolution4. Site Assessments &amp; Surveys- Conduct site surveys and technical assessments- Gather requirements and evaluate site conditions- Provide input for solution design and deployment planning5. Networking &amp; Systems Administration- Configure and troubleshoot:- Layer 2 / Layer 3 network environments- VLANs, routing, switching- Manage and troubleshoot:- Windows Server environments- Basic virtualization / clustering setups6. Coordination with Delivery &amp; Vendors- Work closely with:- Service Delivery Manager- Supply chain and vendors- Ensure timely and accurate execution of deployments7. Documentation &amp; Standards- Maintain technical documentation- Record configurations, issues, and resolutions- Follow standard operating procedures and best practices8. Continuous Learning &amp; Improvement- Stay updated on:- Networking technologies- Infrastructure systems- Emerging enterprise solutions- Support transition toward advanced domains (cloud, security, automation)Required QualificationsEducation- Bachelor&rsquo;s degree in Computer Science, IT, or related field (or equivalent experience)Experience- 2&ndash;5 years in infrastructure, networking, or system support roles- Experience in system integration or project-based environments preferredTechnical Skills- Strong understanding of:- Networking (TCP/IP, VLANs, routing, switching)- L2 / L3 switch configuration- Experience with:- Windows Server environments- Basic server and storage setup- Exposure to:- Physical security systems (access control, CCTV) is a plusPreferred Skills- Experience with firewalls and network security- Basic knowledge of virtualization (VMware / Hyper-V)- Familiarity with enterprise IT environmentsKey Traits- Hands-on and practical mindset- Strong problem-solving ability- Willingness to learn and grow- Reliable and disciplined- Ability to work in field environmentsWhat Success Looks Like (First 6&ndash;12 Months)- Successful execution of infrastructure deployments- Effective troubleshooting and issue resolution- Strong coordination with delivery and project teams- Improved system reliability and uptime- Growth in technical capability across multiple domainsCompensation- Competitive salary- Performance-based incentives- Learning and certification opportunitiesReporting LineReports to: Service Delivery ManagerWorks closely with:- Technical teams- Vendors- OperationsEmployment Type- Full-timeJade is building a scalable and future-ready engineering capability.This role is critical in delivering reliable infrastructure and evolving toward advanced enterprise technologies.Job Type: Full-timeAbility to commute/relocate:<ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s): * What is your expected monthly salary?Work Location: In person

Infrastructure & Systems Support Engineer

Smart Innovations (Pvt) Ltd.

Smart Innovations Private Limited is expanding its technical team in Islamabad. We are seeking a motivated and detail-oriented Junior Power System Engineer to support our growing portfolio of electric vehicle infrastructure and advanced DC power projects. This is an excellent opportunity for an early-career engineer to work under expert mentorship in the renewable energy sector.Key ResponsibilitiesTechnical Support: Assist the Lead Power System Engineer in the design and modeling of EV DC charging solutions and DC power distribution networks.Documentation: Prepare technical drawings, specifications, and project documentation for emerging power solutions.Testing &amp; Commissioning: Participate in the on-site installation, testing, and troubleshooting of power systems.Sales Engineering: Assist the sales team by preparing technical proposals and providing data-driven insights for client presentations.Research: Stay updated on the latest trends in emerging power solutions to help improve company service offerings.Required Qualifications &amp; SkillsExperience: 1&ndash;2 years of experience in power engineering (internships in relevant fields will be considered).Core Knowledge:Foundational understanding of DC power systems and power electronics.Interest or basic knowledge in EV charging technology and infrastructure.Familiarity with power system simulation software (e.g., ETAP, MATLAB, or similar).Soft Skills:Strong communication skills to support technical sales and client interactions.A proactive attitude and a strong desire to learn from a senior engineering team.Education: Bachelor&rsquo;s degree in Electrical Engineering (Power) or a related engineering discipline.Why Join Smart Innovations?Hands-on experience with cutting-edge EV and DC technology.Mentorship from industry leaders in power systems.Competitive entry-level salary and growth opportunities.A vibrant work culture located in a prime Islamabad hub.How to ApplyInterested candidates should submit their CV and a brief cover letter to:Email: hr.admin@smartinnovations.com.pkOffice Address:Smart Innovations Private Limited,Gate No. 4, Main G.T. Road,Opposite DHA Phase 2,Islamabad, PakistanPay: Rs40,000.00 - Rs60,000.00 per monthWork Location: In person

Junior System Power Engineer

Seeka Technology

<div>Company Description 
We believe strong early career roles should do more than give someone a job title. They should help people grow into the kind of professionals they want to become. At SEEKA Technologies, we give junior team members meaningful work that builds real capability, sharpens problem-solving, and develops practical experience in fast-moving business and technology environments. Our goal is to help emerging talent strengthen their skills, expand their potential, and prepare for a future shaped by constant innovation across business and IT.
SEEKA Technologies (Not Seeka Limited) is a project under its parent organisation, called Fresh Futures Australia, which is an education consultant based in both Australia and Malaysia. We are developing and creating a platform that utilises A.I. to help match students and job seekers to the right opportunities relevant to them from Kindergarten up to the University, along with vocational training centres and language schools, and of course to businesses and companies who need the right candidates. Our mission is to make it easier for anyone to find, filter and apply to educational institutions and companies in a more seamless manner.
We are currently looking to hire a junior Backend AI &amp; Data Pipeline Engineer who wants to build real-world experience in backend systems, data processing, scraping, retrieval, and cloud-based infrastructure. This role is ideal for someone who already has hands-on technical experience and wants to grow further by working on meaningful engineering challenges that support Yuzee&rsquo;s intelligent matching platform. You will contribute to the systems that process data, power search and matching, and improve the efficiency, reliability, and scalability of our platform.
Below are the important details you will need to take note of:<ul><li>
English is the primary language used in the role</li><li>
This is a full-time remote/work-from-home position</li><li>
We welcome both local and international candidates</li><li>
Candidates should have a degree or proven practical experience relevant to the role</li></ul> 

Job Description 
About the role
We are looking for a Backend AI &amp; Data Pipeline Engineer to own the end-to-end data processing infrastructure that powers Yuzee's intelligent course and job matching platform. You will design and maintain scalable, event-driven pipelines that process tens of thousands of daily records, generate semantic embeddings, and feed a growing knowledge graph used for personalised career pathway recommendations.
What you'll do<ul><li>
Design and maintain three distinct processing pipelines &mdash; scheduled job ingestion, event-driven course processing, and a periodic knowledge graph builder &mdash; each with independent trigger logic and cost controls</li><li>
Generate and manage semantic embeddings via Amazon Bedrock (Titan v2), index them in MongoDB Atlas Vector Search, and calibrate similarity thresholds to ensure match accuracy</li><li>
Build and maintain a knowledge graph linking jobs, courses, skills, and industries using FP-Growth association rules and archetype-to-SOC code mapping</li><li>
Build and improve a two-stage discovery and matching API on AWS Lambda &mdash; vector retrieval first, then deep eligibility scoring with LLM re-ranking</li><li>
Right-size Fargate Spot instances and design resumable processing loops that tolerate interruption, keeping infrastructure costs under control as data volume scales</li><li>
Maintain and improve daily job scrapers across multiple sources and build institution data scrapers with robust HTML cleaning pipelines</li></ul>
What we're looking for<ul><li>
1+ years of backend engineering experience focused on data pipelines, ML infrastructure, or search systems</li><li>
Hands-on experience with AWS serverless and container services &mdash; Lambda, ECS Fargate, EventBridge, and Step Functions</li><li>
Strong Python skills &mdash; Pandas, async processing, bulk database operations, and text cleaning</li><li>
Familiarity with vector databases and semantic similarity search; MongoDB Atlas Vector Search experience is a strong plus</li><li>
Cost-conscious infrastructure mindset &mdash; you think in per-record compute costs, free tiers, Spot resilience, and right-sizing</li><li>
Ability to document and communicate complex architecture clearly to both technical and non-technical stakeholders</li></ul>
Nice to have<ul><li>
Experience with knowledge graphs or association rule mining (FP-Growth, Apriori)</li><li>
Experience using LLMs for re-ranking or eligibility assessment on top of vector retrieval results</li><li>
Background in edtech, jobtech, or recommendation/matching systems</li></ul> 

Qualifications 
Degree or existing proven experience 
Additional Information 
Use this instead:
Benefits<ul><li>
Fully remote / work-from-home role</li><li>
Flexible working hours within the team&rsquo;s expected schedule and business needs</li><li>
Opportunity to work on real backend, data, and AI infrastructure projects</li><li>
Exposure to practical engineering challenges in scraping, pipelines, retrieval, and cloud systems</li><li>
Ongoing growth and development within a fast-moving technology environment</li><li>
Opportunity to build long-term value and grow with the company based on performance, including progression and increased responsibility over time</li></ul>
A slightly more polished version:
Benefits<ul><li>
Fully remote / work-from-home position</li><li>
Some flexibility in working hours, depending on team requirements and deliverables</li><li>
Hands-on experience working on meaningful backend, data pipeline, and AI-related systems</li><li>
Opportunity to contribute to a growing platform with real product and engineering challenges</li><li>
Professional growth in a practical, fast-paced environment</li><li>
Strong potential for long-term progression based on performance, regardless of location</li></ul>
If you want it to sound more attractive for hiring, the strongest version would be to add things like:<ul><li>
ownership</li><li>
real product impact</li><li>
career growth</li><li>
direct exposure to architecture and scaling decisions</li></ul></div>

Backend AI & Data Pipeline Engineer

Cplus Soft (Pvt) Ltd

We are hiring a Senior AI Engineer to design and build a next-generation agentic OCR and document processing system. You will own the end-to-end development of a multi-agent pipeline that extracts, validates, and delivers structured data from business documents using AI.This role goes beyond traditional OCR &mdash; you will architect intelligent, self-healing systems that improve accuracy and reduce manual review through targeted AI workflows.Key Responsibilities<ul><li>Design and build a multi-layer AI agent pipeline for document processing</li><li>Develop OCR extraction, classification, and schema mapping systems</li><li>Implement confidence scoring and automated validation logic</li><li>Build self-healing workflows for low-confidence data extraction</li><li>Orchestrate workflows using LangGraph and AWS Step Functions</li><li>Develop and integrate MCP-based AI tools and APIs</li><li>Optimize OCR engines for accuracy, cost, and performance</li><li>Build scalable infrastructure using AWS, Docker, and Terraform</li><li>Ensure system reliability with monitoring, testing, and observabilityRequirements</li><li>5+ years of Python development (production-level)</li></ul>Good to Have<ul><li>Computer vision / OpenCV experience</li><li>Document classification &amp; schema mapping</li><li>Human-in-the-loop (HITL) systems</li><li>LLM observability tools (LangSmith, Arize, etc.)</li><li>Experience with logistics, manufacturing, or document-heavy industries</li><li>2+ years working with LLMs and AI systems</li><li>Experience with LangChain / LangGraph or similar frameworks</li><li>Strong hands-on experience with AWS (Bedrock, Lambda, S3, ECS, Step Functions)</li><li>Solid understanding of OCR and document processing systems</li><li>Experience building APIs (FastAPI) and working with PostgreSQL / OpenSearch</li><li>Familiarity with Docker, Terraform, and cloud infrastructure</li><li>Strong English communication skills (B2+)</li></ul>Application Question(s):<ul><li>What is your current and expected salary?</li><li>Can you join on an immediate basis?</li></ul>Work Location: In person

Senior AI Engineer – Agentic OCR & Document Intelligence

AsSuffa School of Excellence

We are looking for a skilled and proactive IT Support Engineer to provide end-to-end technical support for our organization. The ideal candidate will be responsible for maintaining IT systems, supporting users, ensuring smooth network connectivity, managing Microsoft 365 services, and handling backup and recovery operations.This role requires strong troubleshooting skills, attention to detail, and the ability to resolve technical issues efficiently to minimize downtime.Key ResponsibilitiesIT &amp; End-User Support<ul><li>Provide day-to-day technical support for desktops, laptops, printers, and peripherals</li><li>Troubleshoot hardware and software issues on Windows systems</li><li>Install, configure, and update operating systems and applications</li><li>Resolve performance issues, system errors, and malware-related problems</li></ul>Networking &amp; Connectivity Support<ul><li>Troubleshoot LAN/WAN and WiFi connectivity issues</li><li>Configure and support VPN access for remote users</li><li>Diagnose and resolve network-related problems</li><li>Ensure stable internet and internal network connectivity</li></ul>Microsoft 365 Support<ul><li>Manage user accounts, licensing, and permissions</li><li>Provide support for Outlook, Teams, and other Microsoft 365 applications</li><li>Troubleshoot email, login, and synchronization issues</li><li>Assist with user onboarding and offboarding in M365 environment</li></ul>Backup &amp; Data Recovery<ul><li>Monitor and manage system and server backups</li><li>Perform data restoration and recovery when required</li><li>Ensure backup integrity and reliability across systems</li><li>Support disaster recovery processes when needed</li></ul>General IT Operations<ul><li>Maintain IT documentation and support records</li><li>Assist in implementing IT policies and best practices</li><li>Collaborate with teams to improve IT infrastructure performance</li><li>Ensure timely resolution of support tickets</li></ul>Required Skills &amp; Qualifications<ul><li>Proven experience in IT support or a similar technical role</li><li>Strong knowledge of Windows OS environments</li><li>Understanding of networking fundamentals (LAN, WAN, VPN, WiFi)</li><li>Hands-on experience with Microsoft 365 administration and troubleshooting</li><li>Basic knowledge of backup and recovery processes</li><li>Strong problem-solving and communication skills</li><li>Ability to work independently and manage multiple issues</li></ul>Work Location: In person

IT Support Engineer

Try Soft Ai

Job SummaryWe are looking for a highly skilled Full Stack Engineer with strong expertise in the MERN stack, Python backend development, and AI-powered application integration. The ideal candidate will design, develop, and maintain scalable web applications, APIs, and intelligent systems using modern JavaScript frameworks, Python services, and AI/ML technologies.You will work across the entire software development lifecycle &mdash; from frontend UI/UX implementation to backend architecture, cloud deployment, database optimization, and AI feature integration.This is an ONSITE Role based in DHA Phase 2, Islamabad, PakistanKey Responsibilities Frontend Development(MERN)React.js Development<ul><li>Build responsive, scalable, and high-performance web applications using React.js.</li><li>Develop reusable UI components and frontend libraries.</li><li>Implement state management using:</li><li>Redux</li><li>Context API</li><li>Zustand / Recoil (optional)</li><li>Optimize applications for:</li><li>Performance</li><li>SEO</li><li>Accessibility</li><li>Mobile responsiveness</li></ul>UI/UX Integration<ul><li>Convert Figma/Adobe XD designs into responsive interfaces.</li><li>Work with Tailwind CSS, Material UI, Bootstrap, or Chakra UI.</li><li>Implement animations and interactive experiences.</li></ul>Frontend Architecture<ul><li>Implement modular and scalable component architecture.</li><li>Handle client-side routing using React Router.</li><li>Integrate frontend with REST APIs and GraphQL services.</li></ul>Backend DevelopmentNode.js &amp; Express.js<ul><li>Develop scalable RESTful APIs using Node.js and Express.js.</li><li>Implement:</li><li>Authentication &amp; authorization</li><li>Role-based access control (RBAC)</li><li>API security best practices</li><li>Build microservices and event-driven systems.</li><li>Manage middleware, request validation, and error handling.</li></ul>Python Development<ul><li>Develop backend services using Python frameworks such as:</li><li>FastAPI</li><li>Flask</li><li>Django (optional)</li><li>Build AI/ML service layers and data-processing pipelines.</li><li>Create automation scripts, ETL jobs, and AI integrations.</li><li>Design asynchronous processing systems using:</li><li>Celery</li><li>RabbitMQ</li><li>Kafka</li></ul>AI &amp; Machine Learning ResponsibilitiesAI Integration<ul><li>Integrate AI APIs such as:</li><li>OpenAI APIs</li><li>Anthropic APIs</li><li>Gemini APIs</li><li>Hugging Face models</li><li>Build AI-powered features including:</li><li>Chatbots</li><li>AI assistants</li><li>Recommendation systems</li><li>Semantic search</li><li>Document summarization</li><li>OCR pipelines</li><li>n8n</li></ul>LLM Application Development<ul><li>Implement Retrieval-Augmented Generation (RAG) systems.</li><li>Build vector database integrations using:</li><li>Pinecone</li><li>Weaviate</li><li>ChromaDB</li><li>FAISS</li><li>Create prompt engineering pipelines.</li><li>Fine-tune and evaluate AI model outputs.</li></ul>AI InfrastructureWork with:<ul><li>LangChain</li><li>LlamaIndex</li><li>Haystack</li><li>Build AI workflows and agent systems.</li><li>Optimize AI inference performance and token usage.</li><li>n8n</li></ul>Database ManagementMongoDB<ul><li>Design scalable NoSQL database schemas.</li><li>Implement aggregation pipelines and indexing strategies.</li><li>Optimize database performance.</li></ul>SQL Databases (Optional but Preferred)<ul><li>PostgreSQL</li><li>MySQL</li></ul>Vector Databases<ul><li>Manage embeddings and semantic search infrastructure.</li></ul>Cloud &amp; DevOps ResponsibilitiesCloud PlatformsExperience with:<ul><li>AWS</li><li>Azure</li><li>Google Cloud Platform (GCP)</li></ul>Deployment &amp; Infrastructure<ul><li>Containerize applications using Docker.</li></ul>Security Responsibilities<ul><li>Implement secure authentication:</li><li>JWT</li><li>OAuth</li><li>Firebase Auth</li><li>Auth0</li><li>Prevent vulnerabilities:</li><li>XSS</li><li>CSRF</li><li>SQL Injection</li><li>NoSQL Injection</li><li>Secure APIs and AI endpoints.</li><li>Build CI/CD pipelines using:</li><li>GitHub Actions</li><li>GitLab CI/CD</li><li>Jenkins</li></ul>Deploy applications using:<ul><li>Kubernetes</li><li>Docker Compose</li><li>Vercel</li><li>Netlify</li><li>Render</li></ul>Required Technical SkillsCore TechnologiesFrontend<ul><li>React.js</li><li>JavaScript (ES6+)</li><li>TypeScript</li><li>HTML5</li><li>CSS3</li><li>Tailwind CSS</li></ul>Backend<ul><li>Node.js</li><li>Next.js</li><li>Express.js</li><li>Python</li><li>FastAPI / Flask</li></ul>Databases<ul><li>MongoDB</li><li>Redis</li><li>PostgreSQL (preferred)</li></ul>AI/ML<ul><li>OpenAI API</li><li>LangChain</li><li>Vector databases</li><li>Embeddings</li><li>Prompt engineering</li><li>n8n</li></ul>Preferred Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science or related field.</li><li>4+ years of Full Stack development experience.</li><li>Experience building AI-enabled SaaS products.</li><li>Experience with scalable cloud-native architectures.</li><li>Familiarity with MLOps concepts.</li><li>Experience with real-time applications using:</li><li>WebSockets</li><li>Socket.IO</li></ul>This is an ONSITE Role based in DHA Phase 2, Islamabad, PakistanWork Location: In person

Full Stack Engineer

Vizzwebsolutions Pvt Ltd

Role OverviewWe are seeking a highly qualified Principal AI Engineer to own and architect our core intelligence and AI processing pipelines. You will be the technical authority on how we integrate, scale, and optimize artificial intelligence across our entire platform.This is not a prompt-jockey or wrapper-developer role. You will be responsible for architecting end-to-end, multi-modal solutions that push the boundaries of what is possible with applied AI. You will design agentic workflows, build complex user profiling systems to dynamically augment LLM context windows, and create proprietary intelligence layers that serve as competitive moat.Key Responsibilities● End-to-End AI Architecture: Design, build, and deploy production-grade AI systems, moving from idea inception to scalable AWS infrastructure. Bridge the gap between AI research and highly reliable software engineering.● Agentic &amp; Multi-Modal AI: Architect and implement autonomous, multi-agent systems that can reason, plan, use tools, and execute complex workflows across text, image, and data modalities.● Custom Intelligence &amp; Deep Context: Build sophisticated user profiling mechanisms and advanced RAG (Retrieval-Augmented Generation) pipelines to dynamically inject hyper-personalized context into foundational models.● Advanced Prompt Engineering &amp; Optimization: Lead the organization instate-of-the-art prompt design, few-shot prompting, chain-of-thought reasoning, and structured output generation.● Cost &amp; Performance Optimization: Implement intelligent model routing, caching strategies, and token management to ruthlessly optimize inference costs, system latency,and overall API expenditure.● Developer Productivity &amp; Platform AI: Build internal tools, CI/CD pipelines for AI(LLMOps), and automated evaluation frameworks to accelerate the development lifecycle and empower the broader engineering team to safely leverage AI.● Cross-Functional Leadership: Serve as the technical visionary for AI , mentoring full-stack and front-end developers, and partnering with product leadership to identify novel ways AI can solve business problems.Ideal Qualifications &amp; Skills● Experience: 8-10+ years of software engineering experience, with at least 3-5 years explicitly focused on applied Machine Learning, NLP, or Generative AI in production environments.● Core Stack: Expert-level proficiency in Python and Node.js/TypeScript.● AI &amp; LLM Ecosystem: Deep hands-on experience with modern AI orchestration frameworks and integrating with frontier models (OpenAI, Anthropic, open-source equivalents).● Data &amp; Retrieval: Strong expertise in vector databases, embedding strategies, semantic search, and knowledge graph integration.● Cloud &amp; Infrastructure: Proven track record of designing scalable, distributed systems on AWS. Experience with containerization and serverless architectures.● LLMOps &amp; Evaluation: Experience building evaluation pipelines to measure AI accuracy, hallucination rates, and performance. Familiarity with AI observability and monitoring tools.● Vision: A passion for building novel AI solutions and a pragmatic approach to balancing cutting-edge research with maintainable, production-ready code.<ul><li>We Offer:</li><li>Competitive salary package.</li><li>Friendly and collaborative work environment.</li><li>Growth and learning opportunities in a dynamic IT company.</li><li>Job Type: Full-time</li><li>Performance Bonus</li><li>Increments</li><li>Learning Environment</li><li>CC Fund</li><li>EOBI</li><li>Health Insurance</li></ul>For More Details, Contact Us:03115333221/0334-5522981https://www.vizzwebsolutions.com/Pay: Up to Rs300,000.00 per monthWork Location: In person

Principal AI Engineer

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