ai architect

ai-driven full stack developer Jobs in Lahore

ai-driven full stack developer

ai/ml engineer

associate data engineer

associate project manager

azure ai agentic specialist team lead

Glow

<div>
 
 About Glow
 
 
 At
 
 Glow
 
 , we believe in
 
 protecting the dreams of small businesses.
 
 
 We're building the
 
 smartest insurance platform for small businesses
 
 &mdash; combining
 
 real human expertise
 
 with
 
 AI-powered technology
 
 to make insurance simple, transparent, and proactive. Behind every small business is someone who took a risk to build something better. Glow ensures they're protected &mdash; so they can grow with confidence and without limits.
 
 
 We've raised
 
 $24M in Series A funding
 
 from world-class investors to power that mission.
 
 
 
 The Problem We're Solving
 
 
 
 Jane runs a 20-person restaurant. She's busy managing staff, customers, rising costs, and compliance requirements. Insurance is something she only thinks about when something goes wrong.
 
 
 Glow exists to change that.
 
 
 We're building the insurance platform for small businesses&mdash;helping owners get the right coverage, better pricing, and proactive support before problems become expensive surprises.
 
 
 AI is at the center of that mission.
 
 
 
 What You'll Build
 
 
 This isn't a chatbot role.
 
 
 You'll build AI systems that directly impact how small businesses manage risk and insurance:
 
 
 
 <ul>
 <li>
 Proactive Coverage Intelligence that identifies coverage gaps and opportunities before customers know they exist
 </li>
 <li>
 Risk Advisory Systems that monitor payroll, class codes, audits, and claims trends to surface issues early
 </li>
 <li>
 Pre-Quote &amp; Pre-Underwriting Workflows that help us quote faster and more accurately than competitors
 </li>
 <li>
 24/7 AI Support Experiences that help customers understand coverage, make changes, and file claims in plain language
 </li>
 <li>
 Internal AI Copilots that amplify the productivity of every team at Glow
 
 
 
 
 </li>
 </ul>
 Insurance is a high-stakes, information-dense domain where AI can create meaningful leverage. The systems you build will have real-world consequences and measurable impact.
 
 
 
 What You'll Do
 
 
 You'll own products and features end-to-end - from identifying the problem to shipping the solution and measuring results.
 
 
 Product Ownership
 
 
 
 <ul>
 <li>
 Work directly with users, teammates, and stakeholders to understand problems deeply
 </li>
 <li>
 Turn ambiguity into clear plans, product requirements, and execution
 </li>
 <li>
 Own outcomes, not just implementation
 
 
 
 
 </li>
 </ul>
 Build AI-Native Products
 
 
 
 <ul>
 <li>
 Design and integrate LLM-powered workflows using prompts, tool calling, structured outputs, RAG, and agent architectures
 </li>
 <li>
 Build systems that are reliable, measurable, and production-ready
 </li>
 <li>
 Improve prompts, evaluations, context management, and agent tooling across the company
 
 
 
 
 </li>
 </ul>
 Ship Across the Stack
 
 
 
 <ul>
 <li>
 Build production software using:
 </li>
 <ul>
 <li>
 Node.js
 </li>
 <li>
 React &amp; TypeScript
 </li>
 <li>
 GraphQL
 </li>
 <li>
 PostgreSQL
 </li>
 <li>
 AWS
 </li>
 <li>
 Temporal
 
 
 
 
 </li>
 </ul>
 </ul>
 No layer of the stack is off-limits.
 
 
 Validate &amp; Iterate
 
 
 
 <ul>
 <li>
 Monitor what you ship
 </li>
 <li>
 Measure user and business outcomes
 </li>
 <li>
 Debug, improve, and continuously refine systems after launch
 
 
 
 
 </li>
 </ul>
 Use AI as a Force Multiplier
 
 
 Claude Code, Cursor, and agentic development tools are core parts of our workflow.
 
 
 You'll use them heavily&mdash;but you'll also know when they're wrong.
 
 
 The job isn't writing every line yourself. The job is exercising the judgment to identify edge cases, flawed assumptions, security risks, and incorrect implementations before they reach production.
 
 
 
 Who We're Looking For
 
 
 We care less about years of experience and more about ownership, judgment, and execution.
 
 
 You should have:
 
 
 
 <ul>
 <li>
 1-3 years of software engineering experience (exceptional candidates outside this range are encouraged to apply)
 </li>
 <li>
 A track record of shipping real products or features end-to-end
 </li>
 <li>
 Daily hands-on use of Claude Code, Cursor, or similar AI development tools
 </li>
 <li>
 Experience building with LLM APIs such as Anthropic, OpenAI, or equivalent
 </li>
 <li>
 Experience shipping at least one AI feature involving tool use, structured outputs, RAG, or agent workflows
 </li>
 <li>
 Strong proficiency with Node.js and React/TypeScript
 </li>
 <li>
 Working knowledge of GraphQL, PostgreSQL, and AWS
 </li>
 <li>
 Strong product instincts and customer empathy
 </li>
 <li>
 Excellent technical judgment and attention to detail
 </li>
 <li>
 A bias toward action and ownership
 </li>
 <li>
 Low ego, high EQ, and a collaborative mindset
 
 
 
 
 </li>
 </ul>
 A Computer Science or Software Engineering degree is preferred, but demonstrated ability and a strong shipping record matter more than credentials.
 
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Experience at an early-stage or high-growth startup
 </li>
 <li>
 Familiarity with:
 </li>
 <ul>
 <li>
 Vercel AI SDK
 </li>
 <li>
 LangChain / LangGraph
 </li>
 <li>
 Anthropic SDK
 </li>
 <li>
 OpenAI Agents
 
 
 </li>
 </ul>
 <li>
 Experience building RAG systems, embeddings pipelines, or vector databases (pgvector, Pinecone, Weaviate)
 </li>
 <li>
 Experience building MCP servers or agent tooling
 </li>
 <li>
 Experience designing evaluation frameworks for LLM systems
 </li>
 <li>
 Public AI projects, open-source contributions, or a strong GitHub portfolio
 </li>
 <li>
 Strong product design and UX instincts
 
 
 
 </li>
 </ul>
 Why Glow
 
 
 Build AI That Matters
 
 
 Work on systems that proactively protect small businesses&mdash;not demo projects or experimental side initiatives.
 
 
 AI-Native Culture
 
 
 Frontier models and agentic workflows are embedded in how we operate every day.
 
 
 Ownership &amp; Autonomy
 
 
 Own meaningful problems from day one and see the direct impact of your work.
 
 
 Startup Velocity
 
 
 Move quickly, experiment often, and ship continuously.
 
 
 Accelerated Growth
 
 
 Develop product thinking, engineering judgment, and AI-native execution skills at a level few teams can offer.
 
 
 Mission-Driven Work
 
 
 Behind every small business is someone who took a risk to build something meaningful. We help protect what they've built.
 
 
 Glow is backed by
 
 $24M in Series A funding
 
 and is building the future of small business insurance from our office in Lahore.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Product Engineer

CrecenTech

Overview: We are seeking a motivated and results-driven SaaS Business Development Specialist/Closer to join our dynamic sales team. The ideal candidate will play a pivotal role in nurturing leads, building client relationships, and closing deals for our suite of services. This role requires excellent communication skills, a customer-centric approach, and a strong ability to convert opportunities into long-term partnerships.Key Responsibilities:Lead Nurturing and Follow-Up<ul><li>Proactively engage with prospective clients via email, phone, and other communication channels.</li><li>Build and maintain a structured follow-up cadence to advance leads through the sales funnel.</li></ul>Consultative Selling<ul><li>Understand client needs, challenges, and goals to recommend tailored solutions.</li><li>Clearly communicate the value propositions of our services, including technical and business benefits.</li></ul>Closing Sales<ul><li>Negotiate pricing and terms to close deals while ensuring client satisfaction.</li><li>Consistently meet and exceed monthly sales targets and KPIs.</li></ul>Collaboration with Teams<ul><li>Coordinate with internal teams (design, development, marketing, AI/ML) to align client needs with deliverable solutions.</li><li>Ensure seamless handoffs from sales to project implementation teams.</li></ul>CRM Management<ul><li>Maintain accurate and up-to-date records of all client interactions in the CRM system.</li><li>Track and report on sales activities, pipeline status, and conversion rates.</li></ul>Market Expertise<ul><li>Stay informed about industry trends, competitor offerings, and emerging technologies in SaaS, web development, marketing, and AI/ML.</li><li>Use industry insights to position the company as a trusted partner.</li></ul>Qualifications:Experience:<ul><li>Proven track record in sales, follow-up, and closing, preferably in SaaS, Web Design &amp; Development, Digital Marketing, or AI/ML sectors.</li><li>Experience with tools like GHL (GoHighLevel) or other CRM/SaaS platforms is a plus.</li></ul>Skills:<ul><li>Exceptional verbal and written communication skills, including proficiency in native Englishaccent.</li><li>Strong negotiation and relationship-building abilities.</li><li>Ability to grasp technical concepts and translate them into business solutions.</li></ul>Mindset:<ul><li>Results-oriented with a proactive and self-motivated approach.</li><li>Willingness to go the extra mile to refine lead generation or nurture processes as needed.</li><li>Comfortable with working extra hours occasionally to meet job requirements.</li><li>Thrives in a fast-paced, dynamic environment.</li></ul>Benefits:<ul><li>Performance-Based Bonuses</li><li>Handsome Commission Structure</li><li>Maternity/Paternity Allowance</li><li>Maternity Leaves</li><li>Wedding Allowance</li><li>Annual Leaves Encashment</li><li>Double salary on Gazetted Holidays</li><li>Special Allowance for Emergency</li><li>Advance Salary on Need Basis</li><li>12 Casual Leaves</li><li>10 Medical Leaves</li><li>10 Annual Leaves</li><li>Dedicated Training</li><li>Birthday celebrations</li><li>Gaming Facility</li><li>Growing &amp; Dynamic Team</li><li>Office Gatherings, Celebrations, and Trips</li><li>5 days a week (work-life balance)</li></ul>Job Location: Link Road, Model Town, Lahore Job Timings: 6:00 PM - 3:00 AM, 10:00 PM - 7:00 AM, 12:00 AM - 9:00 AMJob Type: Full-timeAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>Are you comfortable working the night shift for this job?</li><li>What are your salary expectations from this job?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Business Development: 5 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Location:<ul><li>Lahore (Required)</li></ul>Willingness to travel:<ul><li>100% (Required)</li></ul>Work Location: In person

Senior Business Development Specialist

Prime System Solutions

<div>
 Prime System Solutions is looking for a results-driven and analytically sharp Performance Marketing Specialist to lead all paid media and growth marketing initiatives across digital platforms. The ideal candidate will have 3-5 years of experience in performance or digital marketing, blending technical precision with creative insight &mdash; capable of managing budgets, interpreting data, and leveraging AI-driven tools and algorithms to improve performance, personalization, and profitability across Google, Meta, YouTube, TikTok, Snapchat, and emerging AI-powered advertising ecosystems.
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 Paid Media Strategy &amp; Execution
 
 
 
 <ul>
 <li>
 Plan, manage, and optimize paid advertising campaigns across Google Ads, Meta (Facebook/Instagram), YouTube, Snapchat, Pinterest, Bing, TikTok, and programmatic/display platforms
 </li>
 <li>
 Develop and implement AI-assisted performance strategies using automation, predictive audiences, and machine-learning bidding models
 </li>
 <li>
 Launch and manage Performance Max, Advantage+, and Smart Shopping campaigns to maximize ROI and reach
 </li>
 <li>
 Conduct audience segmentation and retargeting using data, lookalike, and intent-based targeting
 </li>
 <li>
 Execute and document structured A/B and multivariate testing for creatives, landing pages, and ad copy
 </li>
 <li>
 Ensure pixel, event, and conversion tracking is accurate via GTM and GA4
 
 
 </li>
 </ul>
 
 Analytics, Optimization &amp; Dashboards
 
 
 
 <ul>
 <li>
 Monitor and analyze campaign data through GA4, Meta Ads Manager, TikTok Ads Manager, and Looker Studio
 </li>
 <li>
 Build interactive dashboards for leadership visibility on KPIs such as CTR, CPC, CPA, ROAS, LTV, and retention
 </li>
 <li>
 Identify performance trends and algorithmic shifts affecting reach, conversions, or CPMs &mdash; and adjust bidding and targeting strategies accordingly
 </li>
 <li>
 Use AI-powered analytics tools for forecasting, anomaly detection, and creative performance scoring
 </li>
 <li>
 Provide weekly and monthly reports with insights, learnings, and actionable next steps
 
 
 </li>
 </ul>
 
 Budget Management &amp; Forecasting
 
 
 
 <ul>
 <li>
 Manage daily and monthly ad budgets to ensure optimal pacing and efficiency across channels
 </li>
 <li>
 Create accurate spend forecasts and profitability projections
 </li>
 <li>
 Continuously analyze return metrics to inform scaling and re-allocation decisions
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Partner with creative, content, and SEO teams to align messaging and visual direction with product objectives
 </li>
 <li>
 Collaborate with the product marketing team for offer positioning, funnel optimization, and customer journey mapping
 </li>
 <li>
 Work with the development and analytics teams to troubleshoot tracking or conversion discrepancies
 
 
 </li>
 </ul>
 
 AI &amp; Emerging Platform Integration
 
 
 
 <ul>
 <li>
 Stay ahead of AI-driven advertising developments including Meta Advantage+, Google PMax, and TikTok Smart Optimization
 </li>
 <li>
 Experiment with AI content generation tools (image, video, and copy) to scale creative output responsibly
 </li>
 <li>
 Build and optimize AI-powered digital stores on platforms like Meta Shops, TikTok Shop, and Shopify AI, ensuring automated catalog feeds and dynamic ads are functioning seamlessly
 </li>
 <li>
 Evaluate new commerce integrations, API connections, and automation frameworks to reduce manual work and enhance speed-to-market
 
 
 </li>
 </ul>
 
 Continuous Learning &amp; Innovation
 
 
 
 <ul>
 <li>
 Keep up with ad algorithm changes, privacy updates, cookie-less tracking, and attribution evolutions
 </li>
 <li>
 Explore emerging paid channels, AI predictive bidding, and conversion APIs
 </li>
 <li>
 Benchmark competitors and run controlled experiments to validate new tactics
 </li>
 <li>
 Contribute to internal playbooks, training sessions, and knowledge-sharing for the marketing team
 
 
 </li>
 </ul>
 
 
 Requirements
 
 
 
 
 
 Must Have
 
 
 
 <ul>
 <li>
 Bachelor's degree in Marketing, Business, or a related field
 </li>
 <li>
 3-5 years of experience in performance or digital marketing, preferably within e-commerce or wellness
 </li>
 <li>
 Proficiency in Google Ads, Meta Ads Manager, GA4, GTM, and Looker Studio
 </li>
 <li>
 Solid understanding of PPC, remarketing, audience segmentation, and conversion optimization
 </li>
 <li>
 Strong analytical and troubleshooting skills with high attention to detail
 </li>
 <li>
 Ability to interpret data, manage multiple campaigns, and meet deadlines in a fast-paced environment
 </li>
 <li>
 Demonstrated comfort with AI tools, automation platforms, or dynamic ad solutions
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with programmatic/display buying and LinkedIn or TikTok Ads
 </li>
 <li>
 Familiarity with Shopify, WooCommerce, or other CMS/e-commerce tools
 </li>
 <li>
 Knowledge of server-side tracking, conversion APIs, or custom automation scripts
 </li>
 <li>
 Exposure to CRO and heat-mapping tools (Hotjar, VWO, Optimizely)
 </li>
 <li>
 Google or Meta certifications preferred
 
 
 </li>
 </ul>
 
 
 Benefits
 
 
 
 
 <ul>
 <li>
 Market Competitive Salary
 </li>
 <li>
 OPD
 </li>
 <li>
 IPD
 
 
 </li>
 </ul>
 
 
 Requirements
 
 
 
 
 
 Benefits
 
</div>

Performance Marketing Specialist

CodeNinja

<div>About CodeNinja
CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
Role Overview
We are seeking a Senior Data Scientist with 4+ years of experience to design, develop, and deploy advanced machine learning and forecasting solutions for high-impact business use cases. This role requires strong expertise in predictive analytics, time-series forecasting, statistical modeling, and the ability to translate complex business problems into scalable data-driven solutions.
You will play a key role in building robust, interpretable, and production-ready models that support forecasting, optimization, risk analysis, and strategic decision-making across multiple domains. 
Requirements 
 
Machine Learning &amp; Forecasting<ul><li>
Design, develop, and deploy machine learning models for forecasting, prediction, and optimization use cases.</li><li>
Build and evaluate time-series forecasting solutions using statistical and machine learning approaches.</li><li>
Perform feature engineering including lag variables, rolling statistics, trend decomposition, seasonality analysis, and exogenous variable integration.</li><li>
Develop and benchmark models using techniques such as ARIMA, SARIMA, Prophet, XGBoost, Random Forest, Gradient Boosting, and Neural Networks.</li><li>
Conduct model validation, backtesting, and performance monitoring using appropriate evaluation metrics.</li></ul>
Data Science &amp; Analytics<ul><li>
Analyze large and complex datasets to identify trends, anomalies, and business opportunities.</li><li>
Perform exploratory data analysis (EDA) and statistical investigations.</li><li>
Design experiments and evaluate model performance using sound statistical methodologies.</li><li>
Build business-focused insights and recommendations from analytical findings.</li></ul>
Production &amp; Deployment<ul><li>
Collaborate with engineering teams to deploy machine learning solutions into production environments.</li><li>
Build scalable data pipelines and automated workflows.</li><li>
Implement model monitoring, drift detection, retraining strategies, and version control.</li><li>
Develop dashboards and reporting solutions using tools such as Power BI, Tableau, or Streamlit.</li></ul>
Collaboration &amp; Leadership<ul><li>
Partner with business, product, and engineering stakeholders to define data-driven solutions.</li><li>
Communicate technical findings to both technical and non-technical audiences.</li><li>
Mentor junior team members and contribute to data science best practices.</li><li>
Participate in architecture discussions and support project delivery initiatives.</li></ul>
Requirements<ul><li>
4+ years of hands-on experience in Data Science, Machine Learning, or Predictive Analytics.</li><li>
Strong experience with time-series forecasting and predictive modeling.</li><li>
Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, and XGBoost.</li><li>
Experience with forecasting techniques such as ARIMA, SARIMA, Prophet, or similar methods.</li><li>
Strong understanding of statistics, hypothesis testing, feature engineering, and model evaluation.</li><li>
Experience with model validation, cross-validation, and performance metrics (MAPE, MAE, RMSE).</li><li>
Experience working with SQL and large-scale datasets.</li><li>
Familiarity with data pipelines, experimentation frameworks, and analytical environments such as Jupyter or Databricks.</li><li>
Strong communication skills with the ability to present technical insights to business stakeholders.</li><li>
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. 
</li></ul>
Preferred/Advance Skills<ul><li><ul><li>
Experience in multi-entity and multi-currency financial forecasting environments.
</li><li>Familiarity with cloud ML platforms (AWS SageMaker, Azure ML, GCP AI).
</li><li>Experience implementing CI/CD and MLOps frameworks.
</li><li>Exposure to probabilistic forecasting and Bayesian modeling approaches.
</li><li>Knowledge of financial regulations, treasury workflows, and corporate finance processes.</li></ul></li></ul>
Why Join Us<ul><li>
Work on high-impact financial forecasting problems that directly influence strategic decision-making.
</li><li>Lead cutting-edge machine learning initiatives in a mission-critical environment.
</li><li>Collaborate with cross-functional leadership across finance, risk, and engineering.
</li><li>Opportunity to architect scalable ML systems from research to enterprise production.
</li><li>Be part of a culture that values innovation, ownership, and technical excellence.
</li></ul>Equal Opportunity Statement
We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply. 
Benefits 
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

Data Scientist

Qureos

Qureos — Mid-Level About Qureos Qureos is redefining how companies hire with AI. Backed by leading investors including Prosus Ventures and COTU Ventures, Qureos recently raised a $5M Seed round to accelerate the future of hiring. Trusted by 1,000+ enterprise and public sector organizations, Qureos helps companies compress hiring timelines from months to as little as six days through AI-powered sourcing, screening, and interviewing. Our platform distributes jobs across 2,000+ global channels, screens candidates in under 15 seconds, and automates recruitment workflows at scale, turning hiring from an operational bottleneck into a competitive advantage. We're building the infrastructure layer for modern hiring: an AI-native platform that enables organizations to hire faster, smarter, and more efficiently at scale. This is a chance to join a category-defining company at a high-growth stage and help shape the future of hiring globally. The Product You'll Be Keeping Alive Every one of those "screen a candidate in 15 seconds" and "six-day time-to-hire" numbers is a production promise. You'll own the infrastructure behind our AI sourcing, screening, and interviewing engine, and the pipelines that distribute jobs across 2,000+ channels, the systems our 1,000+ customers depend on to actually hire people, not just browse a dashboard. The Role Why: As we scale globally, reliability becomes the product. You'll design and run the infrastructure behind Qureos, and just as importantly, keep it healthy in production, catching problems before customers do and owning the response when something breaks. What you'll do:  <ul><li>Design, deploy, and manage our cloud infrastructure on GCP, including container orchestration with Docker/Kubernetes</li><li>Build and maintain CI/CD pipelines (GitHub, Cloud Run) that get code out safely and fast</li><li>Set up monitoring, logging, and alerting (Elasticsearch, Kibana, Prometheus, New Relic) so degradations get caught before customers feel them</li><li>Define and own SLOs/SLIs and error budgets for critical services</li><li>Lead incident response end-to-end triage, form and test a hypothesis, mitigate, resolve and act as incident commander on major incidents</li><li>Run blameless postmortems and drive corrective actions to closure</li><li>Administer and optimize MongoDB, including backup and disaster recovery</li><li>Automate infrastructure provisioning and reduce toil through scripting (Python/Bash) and IaC (Terraform/Ansible)</li><li>Participate in on-call and work closely with development, QA, and engineering teams on production-related issues</li></ul> Who we need:  <ul><li>Mid-level DevOps/SRE experience, with real production ownership not just build-out</li><li>Hands-on with GCP (Compute Engine, Cloud Storage, Cloud Run, GKE), Docker, and Kubernetes</li><li>Comfortable with MongoDB administration and optimization</li><li>Sound debugging methodology: observe, form a hypothesis, confirm with data before acting, and reason about how components fail together</li><li>Working knowledge of IaC (Terraform/Ansible) and CI/CD tooling (GitHub Actions/CircleCI)</li><li>Can speak concretely about incidents you've owned impact, duration, and what changed afterward</li><li>Strong ownership and a blameless, collaborative posture under pressure</li></ul> Nice to have: experience with AWS or Azure, Agile/Scrum familiarity, relevant certifications (Docker, GCP, etc.)

DevOps Engineer

Quality Resource

About Us:Quality Resource Private Limited is a multinational digital marketing powerhouse founded in 2010. Operating across the USA, UAE, Australia, and Pakistan, we have empowered over 15,000 businesses globally. As an official Google Partner company, we push the envelope of search and technology from our state-of-the-art office hub in Lahore.Job SummaryQuality Resource Private Limited is seeking a strategic, highly autonomous, and forward-thinking Senior SEO Specialist to lead our organic growth initiatives. In this role, you will not just manage tasks, you will completely own projects from conception to execution.Location: Gulberg II- Lahore, Pakistan (On-site)Job Type: Full-timeSalary Slab: 60k - 120kJob Timings: 8:00 AM - 5:00 PM (Monday to Friday)Experience: 4-6+ yearsAs search behavior shifts, you will be responsible for driving organic visibility not only on traditional search engines (Google, Bing) but also across emerging AI platforms, Large Language Models (LLMs like ChatGPT, Gemini, Claude and Perplexity), and alternative search ecosystem platforms. If you are a self-starter who thrives on ownership and stays ahead of the digital marketing curve, we want you on our team in Lahore.Key Responsibilities<ul><li>End-to-End Project Ownership: Independently strategy, execute, and manage SEO campaigns for multiple projects, ensuring all deliverables align with company and client growth objectives.</li><li>Traditional Search Engine Optimization: Maximize organic traffic, keyword rankings, and conversions on Google and Bing using advanced On-Page, Off-Page, and Technical SEO strategies.</li><li>Generative Engine Optimization (GEO): Develop and implement cutting-edge strategies to ensure our brands and content are cited, recommended, and surfaced within LLM responses (ChatGPT, Google Gemini, Perplexity, etc.) and AI Overviews.</li><li>Content Strategy &amp; Optimization: Collaborating with content teams to create high-authority, information-rich content optimized for both human intent and AI retrieval systems.</li><li>Technical SEO Mastery: Conduct deep technical audits, manage site architecture, improve Core Web Vitals, implement structured data (Schema markup), and resolve complex crawling/indexing issues.</li><li>Multi-Platform Organic Growth: Optimize visibility on alternative search platforms relevant to the business (e.g., YouTube, App Stores, or industry-specific discovery engines).</li><li>Data Analysis &amp; Reporting: Monitor, analyze, and report on performance metrics using advanced tools. Translate data into actionable insights to continuously refine strategies.</li></ul>Required Skills and Qualifications<ul><li>Experience: Minimum of 4 -6 years of proven experience in SEO, with a track record of driving measurable organic growth.</li><li>Autonomy: Proven ability to handle complex projects independently with minimal supervision.</li><li>AI &amp; LLM Literacy: Deep understanding of how AI search engines work, RAG (Retrieval-Augmented Generation), and how to optimize content for AI visibility.</li><li>Technical Expertise: Strong knowledge of WordPress, Framer, HTML, CSS, JavaScript SEO, server logs, schema deployment, and site speed optimization.</li><li>Tools Proficiency: Advanced expertise in Google Analytics 4, Bing Webmaster, Google Search Console, Ahrefs, SEO Metrics, and emerging AI tracking tools.</li><li>Analytical Mindset: Strong data-driven decision-making skills with the ability to turn complex data into clear execution plans.</li><li>Communication: Strong professional English communication skills (written and verbal) to effectively manage strategies and documentation.</li></ul>What We Offer<ul><li>Competitive salary package based on experience.</li><li>A vibrant, growth-oriented work environment in Lahore.</li><li>Opportunity to pioneer AI and GEO strategies in a forward-thinking company.</li><li>Career progression and professional development opportunities.</li></ul>Perks &amp; Benefits:<ul><li>Monthly &amp; Annual Bonuses</li><li>EOBI</li><li>Provident Fund</li><li>Annual Paid Leaves</li><li>Food &amp; Free Parking Facility</li><li>Annual Trips/Recreational Activities</li><li>Medical Insurance</li><li>Leave Encashment</li></ul>Pay: Rs60,000.00 - Rs120,000.00 per monthApplication Question(s):<ul><li>Have you worked on Generative Engine Optimization (GEO), AI Overviews, or LLM visibility strategies (ChatGPT, Gemini, Perplexity, Claude)?</li><li>Rate your experience with Google Analytics 4, Google Search Console, Ahrefs, and Bing Webmaster Tools (combined years of use).</li><li>Have you conducted technical SEO audits involving log analysis, JavaScript SEO, or complex indexing issues?</li><li>How many years of experience do you have with Technical SEO (crawlability, indexing, Core Web Vitals, schema, site architecture)?</li><li>How many SEO projects/websites have you independently managed end-to-end in the last 3 years?</li><li>What is your current monthly salary (PKR)?</li><li>What is your expected monthly salary (PKR)?</li></ul>Work Location: In person

Senior SEO, GEO & AEO Specialist

About Us:Quality Resource Private Limited is a multinational digital marketing powerhouse founded in 2010. Operating across the USA, UAE, Australia, and Pakistan, we have empowered over 15,000 businesses globally. As an official Google Partner company, we push the envelope of search and technology from our state-of-the-art office hub in Lahore.Job Overview:As the landscape of search shifts from traditional keyword matching to AI-driven answers, Quality Resource Pvt Ltd is seeking a forward-thinking Senior Specialist for AEO, GEO, and Local Citations. In this dual-frontier role, you will lead the strategy to ensure our global clients dominate traditional local map packs while building maximum visibility inside Generative AI search engines. You will be responsible for optimization across Answer Engines (AEO), Generative Engines (GEO), and hyper-local citation networks, ensuring our clients&rsquo; brands are the definitive answers provided by AI models and local search apps alike.Location: Gulberg II, Lahore, Pakistan (Onsite)Job Type: Full-Time (Morning Shift)Base Salary: 60k - 120kTime: 8:00 (AM) - 5:00 (PM)Experience Level: Senior (4 - 6+ Years)Key Responsibilities1. AEO &amp; GEO Strategy (Answer &amp; Generative Engine Optimization)<ul><li>AI Engine Footprint: Optimize digital assets to ensure client brands are cited, referenced, and recommended by LLM-powered engines (e.g., Google Gemini, OpenAI Search, Claude, Perplexity, ChatGPT, and Apple Intelligence).</li><li>Conversational Optimization: Craft and restructure content architecture to align with voice search and conversational AI queries (Siri, Alexa, Google Assistant).</li><li>Entity &amp; Schema Architecture: Implement advanced structured data, nested Schema markups, and graph databases to make client business data effortlessly readable by AI crawlers.</li><li>Sentiment &amp; Context Management: Monitor digital PR, reviews, and unlinked brand mentions across the web to train AI engines to associate clients with positive sentiment and high authority.</li></ul>2. Local Citations &amp; Local SEO Management<ul><li>Citation Ecosystem Dominance: Build, audit, and clean up localized citations on Tier-1 and niche directories (Yelp, YellowPages, TripAdvisor, etc.) across various international markets.</li><li>NAP Data Integrity: Enforce 100% data consistency for Name, Address, Phone Number, and Website links globally.</li><li>Map Pack Dominance: Optimize Google Business Profiles (GBP), Apple Maps, and Bing Places to command the &quot;Local 3-Pack&quot; real estate.</li><li>Review Acquisition Strategy: Design and manage local review-generation frameworks to build localized trust scores.</li></ul>3. Analytics, Reporting &amp; Tool Mastery<ul><li>Track brand visibility metrics across generative engine summaries and direct answer boxes.</li><li>Utilize open source advanced tools to track directory data health and citation authority.</li><li>Deliver ROI-focused, plain-English performance reports to internal leadership and international clients.</li></ul>Required Qualifications &amp; Skills<ul><li>Experience: 4 - 6 years of intensive SEO experience, with at least 2&ndash;3 years actively spent executing Local SEO, Schema manipulation, or next-gen conversational search strategies.</li><li>Technical DNA: Deep familiarity with HTML/JSON-LD schema code, digital entities, and knowledge graphs.</li><li>Tool Proficiency: Mastery of Local SEO tools (BrightLocal, Yext, Whitespark, Moz Local) alongside core platforms (Google Search Console, Ahrefs, Screaming Frog).</li><li>AI Savvy: A strong conceptual understanding of how LLMs and Retrieval-Augmented Generation (RAG) extract and rely on online citations.</li><li>Communication: Exceptional written and verbal English communication skills (essential for coordinating across our multinational offices and client base).</li></ul>Other Information &amp; Benefits:<ul><li>Annual Bonus</li><li>Medical Insurance</li><li>Parking Facility</li><li>EOBI</li><li>Provident Fund</li><li>Annual Trips</li><li>Leave Encashment</li></ul>Pay: Rs60,000.00 - Rs120,000.00 per monthApplication Question(s):<ul><li>Have you worked with Google Business Profile (GBP) optimization and management?</li><li>Have you worked on Generative Engine Optimization (GEO) or AI search visibility projects?</li><li>How many Google Business Profiles have you managed or optimized?</li><li>Have you implemented advanced Schema types such as LocalBusiness, Organization, FAQ, Product, or Review Schema?</li><li>Do you have experience using BrightLocal, Whitespark, Yext, or Moz Local?</li><li>Are you willing to work onsite in Gulberg II, Lahore?</li><li>What is your Current salary?</li><li>What are your Salary Expectations?</li></ul>Work Location: In person

Senior Specialist - AEO, GEO & Local Citations

Explore 266+ Azure ai agentic specialist team lead in Lahore this July. Find roles across top companies and apply now to boost your career.