structural engineer

building transportation system mechanical specialist Jobs in Islamabad

planning engineer

steel structure & mezzanine calculation engineer Jobs in Islamabad

steel structure mezzanine calculation engineer

Bigzone FZ LLC

Business Development Executive (BDE) Intern (with PPO)Basic Information<ul><li>Position Type: 60-Day Internship (Unpaid Training Period)</li><li>Career Pathway: Direct transition to permanent, Full-Time employment upon successful completion</li><li>Work Model: Hybrid (Flexible office &amp; remote schedule)</li><li>Target Candidates: Female professionals, final-year students, or fresh graduates looking to kickstart their sales careers</li><li>Full-Time Starting Compensation: 41,000 Basic Salary + Uncapped Commissions &amp; Performance Bonuses</li></ul>Role OverviewOur company is seeking a motivated, growth-oriented female Business Development Executive (BDE) Intern to join our team for a 60-day hybrid program. This internship acts as a fast-track training pipeline for permanent placement. High-performing individuals who meet their learning objectives during this 60-day unpaid period will receive a Pre-Placement Offer (PPO) for a permanent, full-time hybrid role starting at a stable base salary of 41,000, with competitive commission overrides and recurring performance bonuses.Key Responsibilities (During 60-Day Internship)<ul><li>Lead Generation: Source and screen potential corporate clients using professional networks like LinkedIn.</li><li>Market Mapping: Research competitor offerings and evaluate current market shifts to target new industries.</li><li>Outreach Execution: Draft tailored introduction pitches and connect with decision-makers via email or messaging.</li><li>Funnel Management: Learn to document, track, and optimize customer pipelines using industry-standard CRM dashboards.</li><li>Strategic Reviews: Coordinate with the management team during scheduled hybrid in-office days to streamline outbound strategy. [1, 2, 3]</li></ul>Candidate Requirements<ul><li>Education: Currently enrolled in or a recent graduate of a Bachelor's program (Business Administration, Marketing, Communication, or relevant domains are preferred).</li><li>Skills: Strong communication skills with an articulate, confident telephone and written demeanor.</li><li>Software Literacy: Basic familiarity with MS Office Suite or Google Workspace ecosystem.</li><li>Availability: Ready to actively engage in the 60-day hybrid routine with the clear goal of moving into full-time employment.</li></ul>What We Offer<ul><li>Assured Job Offer: Immediate corporate full-time conversion with a 41,000 baseline salary upon completing performance parameters.</li><li>Uncapped Earning Structure: Eligibility for lucrative milestone bonuses, closed-deal commissions, and competitive incentives.</li><li>Executive Mentorship: One-on-one professional grooming directly from seasoned commercial leadership.</li><li>Flexible Hybrid Work: Continued access to remote-work options to protect work-life balance.</li><li>Credentials: Official corporate Internship Certificate and a strong formal Letter of Recommendation upon request</li></ul>Pay: Rs40,000.00 - Rs41,000.00 per monthWork Location: Hybrid remote in Islamabad

Business Development Executive Intern (Women Empowerment Initiative)

Job Title: HR Trainee Assistant (Hybrid)Location: Islamabad/Rawalpindi, Pakistan (Hybrid: 2 Days On-Site / 4 Days Remote) Job Type: 6-Month Trainee Contract (Transitioning to Regular Employee based on performance)Compensation: Month 1 Unpaid Training &rarr; Months 2 to 6 Paid at PKR 41,000 / monthAbout the RoleWe are seeking a highly motivated, tech-savvy candidate for the position of HR Trainee Assistant. This hybrid role offers maximum flexibility, requiring only two days of physical office attendance per week, with the remaining three days spent working productively from home.To ensure mutual fit and provide a comprehensive introduction to our systems, the position begins with a 1-month unpaid initial training phase. Because this first month focuses entirely on baseline software orientation, it is structured to minimize your commuting expenses. Upon successful completion of this initial month, you will transition into the paid 5-month trainee track with ongoing hybrid flexibility.Key ResponsibilitiesMonth 1: Initial Training Phase (Unpaid / Flexible-Remote)<ul><li>Virtual Orientation: Complete internal training modules covering core company policies, HR compliance, and basic operational protocols.</li><li>Basic Sourcing: Learn to filter incoming resumes on regional career networks and Indeed Pakistan.</li><li>Data Integration: Assist with updating and auditing basic employee profile fields in our internal HR databases and spreadsheets.</li></ul>Months 2&ndash;6: Core Operational Support (Paid / 2 Days Office Split)<ul><li>Recruitment Coordination: Take ownership of scheduling phone screenings, setting up virtual panel interviews, and issuing applicant updates.</li><li>Onboarding &amp; Paperwork: Coordinate with new hires to collect necessary documentation, verify credentials, and manage onboarding checklists.</li><li>Time &amp; Attendance Tracking: Monitor monthly digital attendance logs, leave balances, and overtime reports to directly support the payroll department.</li><li>Employee Liaison: Serve as a regular point of contact for basic internal inquiries, routing complex policy queries to senior HR management.</li></ul>Work Structure &amp; Schedule<ul><li>Hybrid Split: 2 days physical attendance at our regional office / 3 days working from home.</li><li>Month 1 Cost Mitigation: During the unpaid first month, on-site requirements will be limited to 1 day per week to drastically reduce your initial travel costs.</li></ul>Qualifications &amp; Requirements<ul><li>Education: Bachelor's degree (BBA, MBA, BS) in HR, Business Administration, or Psychology.</li><li>Technical Skills: Comfortable using MS Office (especially Excel and Word) and cloud collaboration tools like Zoom or Microsoft Teams.</li><li>Workspace: Must have a reliable internet connection and a personal laptop for remote workdays.</li><li>Soft Skills: Excellent written communication and a strong sense of discretion when managing private employee data.</li></ul>Pay: Rs37,000.00 - Rs41,000.00 per monthWork Location: Hybrid remote in Islamabad

HR Assistant Trainee

Offerten-365

Cloud Mesh Solutions is a fast-growing Swiss-based company specializing in cloud-based solutions. We partner with businesses to deliver innovative digital solutions and high-impact marketing strategies that drive measurable growth.About the RoleWe are seeking a creative and results-driven Social Media &amp; Performance Marketing Manager to lead our organic social media presence, content production, paid advertising, and SEO initiatives. This role combines creativity with analytical thinking&mdash;you&rsquo;ll develop engaging content that captures attention while managing performance marketing campaigns that drive measurable business results.From planning video shoots to optimizing advertising campaigns, you will own the entire content and performance marketing process across multiple digital channels.Key ResponsibilitiesSocial Media &amp; Content Production<ul><li>Develop and execute social media content strategies across Instagram, TikTok, Facebook, LinkedIn, and YouTube.</li><li>Plan, coordinate, and manage end-to-end video production, including:</li><li>Scriptwriting</li><li>Shot lists</li><li>Location and prop coordination</li><li>Talent and actor briefings</li><li>Production schedules</li><li>Collaborate with videographers, editors, clients, and creative teams throughout the production process.</li><li>Review video edits, provide feedback, and ensure timely delivery of final content.</li><li>Schedule and publish content across all relevant social media platforms.</li><li>Create engaging content formats, including Reels, Shorts, Stories, and other short-form videos that increase reach and audience engagement.</li><li>Stay current with social media trends, platform updates, and emerging content formats to develop fresh, relevant content ideas.</li></ul>Paid Advertising<ul><li>Plan, launch, and optimize paid advertising campaigns across:</li><li>Google Ads (Search, Display, Performance Max)</li><li>Meta Ads (Facebook &amp; Instagram)</li><li>TikTok Ads</li><li>Monitor campaign performance and optimize budgets based on key performance indicators.</li><li>Scale successful campaigns while identifying and improving underperforming ads.</li><li>Track campaign conversions and collaborate with the CRM &amp; Email Marketing team to ensure accurate attribution and reporting.</li><li>Prepare clear, data-driven reports that communicate campaign performance and business impact to clients and stakeholders.</li></ul>SEO &amp; Content Marketing<ul><li>Conduct keyword research to identify content opportunities based on user search intent.</li><li>Write and optimize SEO-friendly website content, blog articles, and landing pages.</li><li>Improve on-page SEO elements, including:</li><li>Meta titles</li><li>Meta descriptions</li><li>Heading structure</li><li>Internal linking</li><li>Image alt text</li><li>Monitor keyword rankings and continuously optimize content to improve search visibility.</li><li>Update and refresh existing website content to maintain relevance and performance.</li></ul>Project Management &amp; Collaboration<ul><li>Manage multiple client accounts and marketing projects simultaneously while meeting deadlines.</li><li>Maintain organized documentation, campaign briefs, creative assets, and project workflows.</li><li>Communicate proactively with clients and internal teams, identifying challenges and proposing solutions.</li><li>Take ownership of campaign execution and deliver measurable marketing outcomes.</li></ul>Required Qualifications<ul><li>2&ndash;4 years of hands-on experience in Social Media Marketing, Performance Marketing, Digital Marketing, or a related field.</li><li>Proven experience managing paid advertising campaigns on:</li><li>Google Ads</li><li>Meta Business Suite</li><li>TikTok Ads Manager</li><li>Experience creating and managing social media content across major platforms.</li><li>Strong understanding of digital marketing metrics, conversion tracking, and campaign optimization.</li><li>Knowledge of Google Analytics 4 (GA4), Google Search Console, and UTM tracking.</li><li>Experience working with CMS platforms, preferably WordPress.</li><li>Familiarity with content creation tools such as Canva, CapCut, or similar editing software.</li><li>Strong organizational skills with the ability to manage multiple projects and deadlines.</li><li>Excellent written and verbal communication skills in German (native or near-native proficiency) and English.</li><li>Creative mindset with the ability to combine storytelling and performance-driven marketing.</li></ul>Preferred Qualifications<ul><li>Experience planning and managing professional video productions from concept to publication.</li><li>Advanced video editing and motion graphics skills using Adobe Premiere Pro, After Effects, or similar software.</li><li>Basic HTML and CSS knowledge for landing page optimization.</li><li>Experience working with WooCommerce or other e-commerce platforms.</li><li>Familiarity with the Swiss German market and consumer behavior.</li></ul>Why Join Cloud Mesh Solutions?<ul><li>Work with an innovative and growing Swiss-based company.</li><li>Opportunity to manage diverse marketing projects across multiple clients.</li><li>Collaborative and supportive work environment.</li><li>Career growth and learning opportunities.</li><li>Competitive salary based on experience.</li></ul>Pay: Rs100,000.00 - Rs200,000.00 per monthApplication Question(s):<ul><li>Expected salary :</li></ul>Experience:<ul><li>2 or more: 2 years (Preferred)</li></ul>Work Location: In person

Social Media & Performance Marketing Manager

Volga Partners

<div>Location 
Islamabad, Pakistan 
House #571, Street #35, E-11/3, Islamabad
Employment Type 
Full-time
Work Setup: Hybrid
 
3 days in office 
2 days remote
Compensation 
PKR 600,000 &ndash; 850,000 per month 
(Compensation will be determined based on experience, software and AI background, technical expertise, AI product experience, and overall alignment with the role). 
About Volga Partners
Volga Partners is a global technology and AI solutions company focused on building innovative products, platforms, and intelligent systems that solve real-world business challenges. Our teams work across AI, software development, automation, data operations, and enterprise technology solutions supporting clients and products on a global scale.
We are building the next generation of AI-powered products and platform experiences and are seeking a Principal Software &amp; AI Engineer who thrives in fast-paced environments, enjoys solving complex problems, and can connect customer needs, business goals, and technology into a clear product vision.
About the Role
We are seeking a highly experienced Senior Software &amp; AI Engineer to join our growing engineering team. The ideal candidate will possess extensive experience in full-stack software development, system architecture, cloud technologies, artificial intelligence, and modern software engineering practices.
This role requires a hands-on technical leader capable of designing, developing, and deploying scalable enterprise applications while leveraging AI technologies to build innovative solutions. The candidate should be comfortable working across multiple programming languages, frameworks, and cloud environments.
Key Responsibilities<ul><li>
Design, architect, and develop scalable enterprise-grade software applications.</li><li>
Lead the development of AI-powered products and features utilizing modern AI/ML technologies.</li><li>
Build and maintain high-performance backend services, APIs, and distributed systems.</li><li>
Develop modern web applications and user interfaces using current frontend frameworks.</li><li>
Design database architectures and optimize application performance.</li><li>
Integrate third-party services, APIs, payment gateways, and cloud-based solutions.</li><li>
Collaborate with product managers, designers, and stakeholders to define technical requirements.</li><li>
Implement security best practices and ensure compliance with industry standards.</li><li>
Mentor junior and mid-level engineers and conduct technical reviews.</li><li>
Drive architectural decisions and establish engineering best practices.</li><li>
Participate in Agile development processes and technical planning.</li></ul> 
Required Qualifications
Experience<ul><li>
Minimum 8 years of professional Software/AI engineering experience.</li><li>
Proven experience delivering large-scale production applications.</li><li>
Strong experience working with international teams and remote environments.</li><li>
Experience leading technical projects and mentoring engineering teams.</li></ul>
Programming Languages
Candidates should have strong experience with most of the following technologies:<ul><li>
JavaScript</li><li>
TypeScript</li><li>
Python</li><li>
Java</li><li>
C#</li><li>
Go (Golang)</li><li>
PHP</li><li>
C++</li><li>
Rust</li><li>
SQL</li></ul>
Frontend Technologies<ul><li>
React.js</li><li>
Next.js</li><li>
Angular</li><li>
Vue.js</li><li>
HTML5</li><li>
CSS3</li><li>
Tailwind CSS</li><li>
Redux</li></ul>
Backend Technologies<ul><li>
Node.js</li><li>
Express.js</li><li>
NestJS</li><li>
Django</li><li>
FastAPI</li><li>
ASP.NET Core</li><li>
Spring Boot</li><li>
GraphQL</li><li>
REST APIs</li><li>
Microservices Architecture</li></ul>
Artificial Intelligence &amp; Machine Learning<ul><li>
OpenAI API</li><li>
Large Language Models (LLMs)</li><li>
Prompt Engineering</li><li>
AI Agent Development</li><li>
Retrieval-Augmented Generation (RAG)</li><li>
Vector Databases</li><li>
LangChain / LlamaIndex</li><li>
Machine Learning Fundamentals</li><li>
AI Workflow Automation</li></ul>
Databases<ul><li>
PostgreSQL</li><li>
MySQL</li><li>
MongoDB</li><li>
Redis</li><li>
SQL Server</li></ul>
Cloud &amp; DevOps<ul><li>
AWS</li><li>
Azure</li><li>
Google Cloud Platform (GCP)</li><li>
Docker</li><li>
Kubernetes</li><li>
CI/CD Pipelines</li><li>
GitHub Actions</li><li>
Terraform</li><li>
Linux Administration</li></ul>
Security &amp; Architecture<ul><li>
OAuth</li><li>
JWT Authentication</li><li>
RBAC</li><li>
Secure Coding Practices</li><li>
Distributed Systems</li><li>
Event-Driven Architecture</li><li>
System Design</li><li>
Performance Optimization</li></ul> 
Preferred Qualifications<ul><li>
Experience building SaaS products.</li><li>
Experience working with healthcare, fintech, or enterprise applications.</li><li>
Knowledge of data engineering and analytics platforms.</li><li>
Experience with AI-powered automation systems.</li><li>
Experience with real-time communication systems and WebSockets.</li><li>
Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.</li></ul> 
Compensation &amp; Benefits<ul><li>
Monthly compensation ranging from PKR 600,000 &ndash; PKR 850,000</li><li>
90-day probationary period.</li><li>
Eligible for company-sponsored medical insurance upon successful completion of probation.</li><li>
Eligible for holiday pay for designated company-observed holidays after 90 days of employment, subject to company policy.</li><li>
Eligible for Paid Time Off (PTO) in accordance with the company's service-based accrual model and eligibility requirements.</li><li>
Opportunity for career growth, product ownership, and direct impact on company strategy.</li></ul> 
Application Process
Qualified candidates are encouraged to submit their updated resume along with details of relevant projects, technical expertise, and availability.
Only shortlisted candidates will be contacted for interviews.</div>

Principal Software & AI Engineer - Pakistan

Qureos

<h3> </h3>As a DevOps Engineer, you will design, implement, and maintain the infrastructure that supports our applications and services — and, just as importantly, you will keep that infrastructure reliable in production. You will work closely with development, QA, and IT teams to automate and streamline operations, build the observability that lets us catch problems before customers do, and lead the response when incidents happen. This is a hands-on role where you own the health of production, not only its build-out. We are hiring at a mid level (3–5 years) for someone with strong production instincts and the judgment to grow into a senior reliability owner as we scale globally.  <h3>Key Responsibilities  </h3><h4>Infrastructure Management</h4><ul><li>Design, deploy, and manage cloud infrastructure on Google Cloud Platform (GCP).</li><li>Implement and maintain scalable container orchestration using Docker.</li></ul><h4>CI/CD Pipeline</h4><ul><li>Develop and maintain continuous integration/continuous deployment (CI/CD) pipelines to automate testing, building, and deployment processes through GitHub and Google Cloud Run.</li><li>Collaborate with development teams to integrate new features into the CI/CD process.</li></ul><h4>Monitoring &amp; Observability</h4><ul><li>Set up and manage monitoring, logging, and alerting systems using tools like Elasticsearch, Kibana, Prometheus, and New Relic.</li><li>Build dashboards, metrics, and actionable alerts so engineering detects degradations before customers do — and so no critical signal (e.g. a database running hot for hours) ever goes unnoticed.</li></ul><h4>Reliability &amp; Incident Response (SRE)</h4><ul><li>Define, measure, and own service-level objectives (SLOs/SLIs) and error budgets for critical services.</li><li>Lead incident response end to end: triage by severity, form a hypothesis and confirm it with metrics before taking action, mitigate, and drive to resolution. Act as incident commander on major incidents and coordinate communication across stakeholders.</li><li>Run blameless postmortems, identify true root causes, and track corrective actions to closure.</li><li>Participate in an on-call rotation; continuously reduce toil and mean-time-to-recovery (MTTR) through automation.</li><li>Plan for capacity, performance, and cost as we scale toward multi-region, global traffic.</li></ul><h4>Database Management</h4><ul><li>Administer and optimize MongoDB instances, ensuring data integrity, performance, and security.</li><li>Implement backup, recovery, and disaster recovery strategies for MongoDB and other databases.</li></ul><h4>Security &amp; Compliance</h4><ul><li>Implement security best practices across infrastructure, applications, and data.</li><li>Ensure compliance with industry standards and internal policies.</li></ul><h4>Automation &amp; Scripting</h4><ul><li>Automate infrastructure provisioning, configuration management, and system operations using GCP services.</li><li>Develop custom scripts as needed to enhance automation and operational efficiency.</li></ul><h4>Collaboration &amp; Support</h4><ul><li>Work closely with development and QA teams to support the software development lifecycle.</li><li>Provide technical guidance and support to resolve infrastructure-related issues.  </li></ul><h3>Qualifications  </h3><h4>Education</h4><ul><li>Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).</li></ul><h4>Experience</h4><ul><li>3–5+ years of experience as a DevOps Engineer or in a similar role.</li><li>Strong experience with Docker, including container orchestration using Kubernetes.</li><li>Hands-on experience with Google Cloud Platform (GCP) services, including Compute Engine, Cloud Storage, Cloud Run, and GKE.</li><li>Experience with Elasticsearch for monitoring, logging, and search.</li><li>Proficiency in administering and optimizing MongoDB databases.</li><li>Demonstrated experience operating production systems and responding to incidents — not only building infrastructure. You can point to real production incidents you owned, quantify their impact concretely (users affected, duration, consequence), and describe what you changed afterward.</li></ul><h4>Skills</h4><ul><li>Strong scripting skills in Python, Bash, or similar languages.</li><li>Proficiency in infrastructure as code (IaC) tools such as Terraform or Ansible.</li><li>Experience with CI/CD tools such as GitHub Actions or CircleCI.</li><li>Sound production-debugging methodology: observe and form a hypothesis before acting, reason about how components fail together (e.g. how a queue backlog interacts with the database), and update your approach when new information appears.</li><li>Familiarity with defining alerts, dashboards, and SLOs; comfort reasoning about availability, latency, saturation, and error budgets.</li><li>Excellent problem-solving and troubleshooting skills.</li><li>Strong communication skills and ability to work collaboratively across teams.</li><li>Strong ownership and a blameless, collaborative posture under pressure — focused on diagnosing and fixing problems rather than assigning blame.</li></ul><h4>Nice to Have</h4><ul><li>Experience with additional cloud platforms (e.g. AWS or Azure).</li><li>Familiarity with Agile/Scrum methodologies.</li><li>Certifications in Docker, GCP, or related technologies.</li></ul>

DevOps & Site Reliability Engineer (GCP)

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

TenTwenty

Role OverviewWe are looking for a Senior Digital Marketing Specialist with a strong primary focus on SEM and performance marketing, and a working knowledge of SEO. This is a client-facing, individual contributor role. The right candidate can confidently own Google Ads strategy and execution, communicate campaign performance to clients with clarity and authority, and bring structured thinking around how AI tools can sharpen both internal workflows and client-facing deliverables.Location DAFZA, Dubai, UAEResponsibilitiesSEM &amp; Performance Marketing (Primary Focus)<ul><li>Own and execute tentwenty's client&rsquo;s Google Ads strategy across paid search, remarketing, display, and Performance Max campaigns.</li><li>Build, manage, and optimise advertising budgets to deliver measurable ROI for clients across industries.</li><li>Design full-funnel customer journeys including landing page flows, ad sequencing, nurturing paths, and conversion tracking setups.</li><li>Write high-performing ad copy aligned with brand tone and campaign objectives, copy that converts, not just impressions.</li><li>Run structured A/B tests across ads, creatives, and landing pages; translate findings into documented optimisation decisions.</li><li>Produce clear, well-structured performance reports and present campaign insights to clients with confidence and professionalism.</li><li>Stay current on SEM developments: AI-assisted bidding, audience targeting changes, privacy updates, and platform shifts.</li><li>Collaborate with UX, design, and development teams to ensure landing page performance aligns with campaign intent.</li></ul>SEO (Supporting Capability)SEO is not the core of this role, but the right candidate will have a solid working understanding of how organic and paid search interact and will be comfortable contributing to SEO conversations with clients when needed.<ul><li>Support SEO audits, keyword gap analysis, and on-site optimisation reviews where they intersect with paid strategy.</li><li>Contribute to technical SEO discussions particularly around tracking, indexation, and landing page health.</li><li>Understand local SEO fundamentals, including Google Business Profile and map-pack visibility.</li><li>Coordinate with the internal SEO lead on accounts where SEM and SEO run in parallel.</li></ul>AI Integration (Mandatory Capability)This is not optional. We expect candidates to demonstrate a clear, practical command of AI tools not awareness of them. The role requires an active, documented approach to using AI to improve how work gets done and how it gets presented.<ul><li>Present specific, tested strategies for using AI to improve internal workflows: campaign planning, copy generation, audience research, and reporting automation.</li><li>Demonstrate how AI tools have been applied to improve client deliverables including presentations, performance summaries, and strategic recommendations.</li><li>Use AI responsibly and with editorial judgement no generic outputs, no unreviewed copy, no fabricated data.</li><li>Stay informed on emerging AI tools relevant to SEM and digital marketing, and apply them with a clear rationale.</li><li>During the interview process, candidates will be asked to walk through a specific example of AI integration in their workflow. Theoretical familiarity is not sufficient.</li></ul>Client Communication &amp; PresentationClient-facing communication is a core function of this role, not a secondary skill. The following are non-negotiable.<ul><li>Fluent, professional written and spoken English including the ability to write clearly under time pressure and for varied audiences.</li><li>Confident presentation skills: able to walk a client through campaign performance, strategic rationale, and next steps without needing a script.</li><li>Able to translate complex data into plain-language insights that clients can act on.</li><li>Experienced in preparing and delivering structured client reports, QBRs, and campaign review presentations.</li><li>Comfortable managing difficult conversations &mdash; budget constraints, underperforming campaigns, scope discussions &mdash; with composure and clarity.</li></ul>Required SkillsMust Have<ul><li>8+ years of hands-on digital marketing experience, with Google Ads as the primary channel.</li><li>Demonstrable track record managing Google Ads campaigns at scale, including budget ownership, bid strategy, and conversion optimisation.</li><li>Experience building high-converting funnels, landing page flows, and nurturing sequences.</li><li>Fluent English written and spoken at a professional business standard. This will be assessed during the interview process.</li><li>Strong presentation skills with experience presenting performance data and strategy to clients directly.</li><li>Analytical mindset: able to interpret campaign data, identify meaningful trends, and translate them into clear recommendations.</li><li>Working knowledge of SEO principles sufficient to contribute to integrated client conversations.</li><li>Proficiency with Google Ads, Google Analytics 4, Google Search Console, and at least one third-party platform (Ahrefs, SEMrush, or equivalent).</li><li>Demonstrated, practical use of AI tools in a professional digital marketing context.</li><li>Ability to manage multiple client accounts and competing deadlines independently.</li></ul>Good to Have<ul><li>Agency background &mdash; prior experience managing multiple client accounts simultaneously.</li><li>Knowledge of basic HTML/CSS or familiarity with CMS platforms (WordPress, Webflow, Shopify).</li><li>Experience with multi-language or multi-market campaigns.</li><li>Google Ads or Google Analytics certifications.</li><li>Familiarity with CRM-connected ecosystems or marketing automation platforms.</li></ul>Qualifications<ul><li>Bachelor's degree in Marketing, Communications, Business, or a related field (preferred, not required).</li><li>Case studies or demonstrable results from past SEM campaigns &mdash; you will be asked to present these.</li><li>A specific example of AI tool integration in your workflow, ready to walk through during the interview.</li><li>Certifications in Google Ads, Google Analytics, or related platforms are a bonus, not a substitute for demonstrated skill.</li></ul>Why You'll Love Working With Us<ul><li>A collaborative, multicultural team in a flat structure &mdash; direct access to leadership, no unnecessary bureaucracy.</li><li>Continuous development &mdash; training, learning opportunities, and regular personal check-ins.</li><li>Real room for initiative: new ideas and experimentation are genuinely welcomed.</li><li>Competitive salary with clear opportunities for growth.</li><li>Comprehensive health insurance.</li><li>Exposure to international projects and diverse client portfolios.</li><li>Team events, birthday surprises, and the kind of workplace people actually enjoy coming to.</li></ul>How to ApplyFill out the application form to apply. If you'd like to follow up, contact the team at sanam@tentwenty.me.Pay: Rs180,000.00 - Rs250,000.00 per monthWork Location: In person

Senior Digital Marketing Specialist (SEM-Led | Client-Facing)

Explore 8+ Steel structure mezzanine calculation engineer in Islamabad this July. Find roles across top companies and apply now to boost your career.