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ai-driven full stack developer Jobs in Lahore

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data architect

Datamatics Technologies

<div>
 Job Title: AI Architect
 
 
 Level:
 
 Senior / Principal
 
 
 Employment Type:
 
 Full-time
 
 
 Experience
 
 : 6+ Years
 
 
 Location
 
 : Islamabad (Onsite)
 
 Role Overview
 
 We are seeking a
 
 high-level AI Architect
 
 to serve as a
 
 Senior Solution Architect
 
 for our real-time automation and intelligence ecosystem. This role is both
 
 strategic and hands-on at the architectural level
 
 , acting as a technical mentor and trusted advisor to engineering teams.
 
 
 You will be responsible for defining and evolving the
 
 enterprise architecture
 
 that underpins real-time data processing, automation, and AI/ML workflows. The role requires a visionary mindset, strong problem-solving capability, and the ability to design scalable, future-ready systems that support complex, high-throughput AI use cases.
 
 Key Responsibilities
 
 
 Solution Mentorship &amp; Technical Leadership
 
 
 <ul>
 <li>
 
 Act as a technical authority and mentor for engineering teams
 
 </li>
 <li>
 
 Guide best practices for real-time data streaming, event-driven architectures, and low-latency processing
 
 </li>
 <li>
 
 Review designs and implementations to ensure architectural consistency and technical excellence
 
 </li>
 </ul>
 
 
 Architecture &amp; Gap Analysis
 
 
 <ul>
 <li>
 
 Analyze existing platforms to identify architectural gaps, performance bottlenecks, and scalability risks
 
 </li>
 <li>
 
 Design and propose robust, enterprise-grade architectural improvements
 
 </li>
 <li>
 
 Define target-state architectures aligned with long-term business and AI strategy
 
 </li>
 </ul>
 
 
 System Orchestration &amp; Integration
 
 
 <ul>
 <li>
 
 Design and oversee the integration of distributed systems, messaging platforms, and data pipelines
 
 </li>
 <li>
 
 Ensure seamless, reliable data flow across heterogeneous enterprise systems
 
 </li>
 <li>
 
 Define standards for system interoperability, resilience, and observability
 
 </li>
 </ul>
 
 
 AI/ML Infrastructure &amp; Enablement
 
 
 <ul>
 <li>
 
 Architect the data and compute foundations required for AI/ML workloads, including agentic workflows and real-time analytics
 
 </li>
 <li>
 
 Enable large-scale automation, intelligent decisioning, and near-real-time inference
 
 </li>
 <li>
 
 Ensure architectures support model lifecycle management, scalability, and performance
 
 </li>
 </ul>
 
 
 Technical Governance &amp; Quality
 
 
 <ul>
 <li>
 
 Ensure architectural designs align with industry standards, security requirements, and scalability goals
 
 </li>
 <li>
 
 Provide high-level design documentation, reference architectures, and technical blueprints
 
 </li>
 <li>
 
 Support roadmap definition and continuous architectural evolution
 
 </li>
 </ul>
 Technical Requirements
 <ul>
 <li>
 
 
 Expert-level experience with distributed systems
 
 , including:
 
 <ul>
 <li>
 
 Real-time stream processing
 
 </li>
 <li>
 
 Distributed storage platforms
 
 </li>
 <li>
 
 Low-latency analytical databases
 
 </li>
 </ul>
 </li>
 <li>
 
 Proven experience designing
 
 enterprise-scale, high-throughput data architectures
 
 
 </li>
 <li>
 
 Strong background in
 
 event-driven and real-time processing ecosystems
 
 
 </li>
 <li>
 
 Experience supporting
 
 AI/ML platforms
 
 , data fabrics, and automation frameworks
 
 </li>
 <li>
 
 Demonstrated ability to translate complex technical challenges into scalable architectural solutions
 
 </li>
 </ul>
 Leadership &amp; Soft Skills
 <ul>
 <li>
 
 Strong
 
 mentorship and coaching experience
 
 with senior engineering teams
 
 </li>
 <li>
 
 Ability to influence architectural direction across multiple teams and stakeholders
 
 </li>
 <li>
 
 Excellent communication skills, capable of articulating complex designs to both technical and non-technical audiences
 
 </li>
 <li>
 
 Strategic mindset with a focus on long-term platform evolution
 
 </li>
 </ul>
 Nice to Have
 <ul>
 <li>
 
 Experience with cloud-native and hybrid architectures
 
 </li>
 <li>
 
 Exposure to MLOps, DataOps, or platform engineering practices
 
 </li>
 <li>
 
 Experience in regulated or large enterprise environments
 
 </li>
 </ul>
 Why Join
 <ul>
 <li>
 
 Shape the
 
 architectural foundation of advanced AI and automation platforms
 
 
 </li>
 <li>
 
 Influence enterprise-scale technical decisions with long-term impact
 
 </li>
 <li>
 
 Work in a senior, high-visibility role with strong ownership and autonomy
 
 </li>
 </ul>
</div>

AI Architect

NorthBay - Pakistan

<div>
 
 Role: Team Lead - Azure AI (Agentic) Engineer
 
 
 
 
 Location:
 
 Pakistan (hybrid work model)
 
 
 
 
 Client: Middle East (Government)
 
 
 
 
 
 About The Role
 
 
 
 NorthBay Solutions, an AWS global Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliber
 
 Azure AI Specialist (Team Lead)
 
 with deep expertise in building enterprise-grade
 
 Generative AI, RAG, and Agentic AI solutions
 
 on the Azure ecosystem.
 
 
 This role requires hands-on experience in designing scalable, multi-tenant AI systems, integrating LLMs, and building intelligent pipelines using Azure-native services.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and deploy LLM-powered applications using Azure OpenAI for enterprise use cases
 </li>
 <li>
 Build and optimize Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search (vector + hybrid search)
 </li>
 <li>
 Develop Agentic AI systems leveraging frameworks and tool-based reasoning approaches
 </li>
 <li>
 Implement custom Document Intelligence models for high-accuracy data extraction (e.g., IDs, structured documents)
 </li>
 <li>
 Architect multi-tenant AI deployments with scalability, security, and cost-efficiency in mind
 </li>
 <li>
 Develop and manage Knowledge Graphs for structured reasoning and contextual intelligence
 </li>
 <li>
 Apply advanced prompt engineering techniques (Few-shot, Chain-of-Thought, ReAct)
 </li>
 <li>
 Use Prompt Flow in Azure AI Studio for experimentation, testing, and versioning
 </li>
 <li>
 Design intelligent conversational systems with fallback handling and contextual memory
 </li>
 <li>
 Build and manage MLOps pipelines using Azure Machine Learning
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Overall 10+ years experience, with a focus on Azure OpenAI API (deployments, scaling, optimization)
 </li>
 <li>
 Proven expertise in building RAG pipelines using Azure AI Search
 </li>
 <li>
 Experience with vector databases and hybrid search architectures
 </li>
 <li>
 Practical experience in Agentic AI / multi-agent systems
 </li>
 <li>
 Hands-on with Azure AI Document Intelligence (Form Recognizer)
 </li>
 <li>
 Solid understanding of Knowledge Graphs and semantic modeling
 </li>
 <li>
 Expertise in prompt engineering &amp; LLM optimization techniques
 </li>
 <li>
 Experience with Prompt Flow (Azure AI Studio)
 </li>
 <li>
 Strong background in Python and cloud-native development
 </li>
 <li>
 Experience with Azure ML / MLOps pipelines
 </li>
 <li>
 Ability to design scalable and secure enterprise AI architectures
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with LangChain, Semantic Kernel, or similar frameworks
 </li>
 <li>
 Exposure to multi-agent orchestration tools
 </li>
 <li>
 Prior experience working with enterprise clients or large-scale AI deployments
 </li>
 </ul>
</div>

Azure AI (Agentic) Specialist - Team Lead

Motive

<div><div>Who we are:

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

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

Visit gomotive.com to learn more.</div><div>

About the Role:

The Sales Data Quality Analyst II (L4) is a pivotal member of the GTM Strategy and Sales Operations organization, dedicated to ensuring that Salesforce data remains accurate, comprehensive, and actionable across all sales motions. Serving as the primary subject-matter expert for sales data integrity, this role focuses on account and contact data, segmentation, and global hierarchy management (including the UK and Mexico). The Analyst II will design and maintain sophisticated data quality frameworks, conduct deep-dive analyses using SQL and Salesforce, and convert complex data challenges into clear business insights and remediation strategies that bolster pipeline health, territory planning, and executive decision-making.

Responsibilities:
<ul>
<li>As a Sales Data Quality Analyst II, the person in this role is expected to:</li>
<li>Lead high-impact data quality investigations and diagnostics</li>
<li>Proactively identify data issues and anomalies across accounts, contacts, and opportunities.Use SQL and Salesforce reporting to perform root-cause analysis and quantify business impact.</li>
<li>Establish and maintain rigorous data quality standards</li>
<li>Help define what &quot;good&quot; looks like for sales data (e.g., completeness, consistency, and accuracy thresholds).Contribute to and maintain data quality scorecards, rules, and documentation.</li>
<li>Engineer and oversee proactive data monitoring frameworks</li>
<li>Build, maintain, and iterate on automated checks and recurring reports that monitor data health (e.g., duplicate detection, missing key fields, invalid hierarchies).Surface prioritized issue lists and trends to GTM stakeholders.Support segmentation and enrichment initiativesPartner with regional teams (e.g., UK contact enrichment, Mexico account segmentation) to define data requirements and coverage goals.Validate enrichment inputs and outputs, ensuring they meet agreed standards before they are rolled out to sales teams.</li>
<li>Architect account hierarchy and structural integrity</li>
<li>Support the design and maintenance of parent&ndash;child account hierarchies in Salesforce.Ensure that account structures reflect real-world corporate relationships and support roll-up reporting and planning.Partner with Sales, RevOps, and GTM StrategyWork closely with business stakeholders to understand how data is used in daily workflows and executive reporting.Translate data quality findings into clear, actionable recommendations tied to sales outcomes.</li>
<li>Standardize documentation and operationalize for scale</li>
<li>Create and maintain process documentation, runbooks, and data dictionaries related to key sales data objects and fields.Recommend process and system changes that reduce recurring data issues and support sustainable data quality improvements.</li>
</ul>
Qualifications:
<ul>
<li>Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Economics, Business Analytics) or equivalent practical experience in sales data, analytics, or operations.</li>
<li>Advanced SQL Proficiency: Expert ability to perform data validation, profiling, and reporting across large, complex datasets.</li>
<li>Salesforce Expertise: Strong working knowledge of Salesforce objects (Accounts, Contacts, Opportunities, custom GTM fields), including complex hierarchies and segmentation logic.</li>
<li>AI &amp; Automation Proficiency: Experience leveraging AI/ML and LLM-powered tools to accelerate analysis, documentation, and data quality investigations while applying strong human judgment and validation.</li>
<li>Data Enrichment: Familiarity with data enrichment workflows and rigorous quality checks for third-party data sources.</li>
<li>Analytical Problem-Solving: Ability to perform structured root-cause analysis and bridge technical issues with tangible business impact.</li>
<li>Strategic Prioritization: Proven comfort in prioritizing issues based on impact, effort, and evolving stakeholder needs.</li>
<li>Executive Communication: Ability to communicate complex findings in a clear, concise, and business-friendly way to sales leadership.</li>
<li>Stakeholder Management: Skill in managing expectations, aligning on priorities, and driving accountability for remediation plans.</li></ul></div> 

<div>Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

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

Sales Data Quality Analyst II

CrecenTech

We&rsquo;re hiring a Full Stack Developer who builds faster and smarter with AI.If you actively use tools like Cursor, Windsurf, or GitHub Copilot to develop enterprise-grade applications (ERP, procurement systems, etc.), this role is for you. You&rsquo;ll own end-to-end development &mdash; from architecture to deployment &mdash; working across modern frontend and backend stacks, powered by AI to deliver speed without compromising quality.We&rsquo;re looking for someone who thrives in complex system development, understands scalability, and uses AI as a core part of their workflow &mdash; not just an add-on. If you can turn ideas into production-ready systems faster with AI, we want to talk.Key ResponsibilitiesApplication Development<ul><li>Architect, develop, and maintain full stack web applications</li><li>Build and enhance ERP modules and procurement workflows</li><li>Write clean, efficient, and well-documented code</li><li>Develop and integrate RESTful APIs and microservices</li></ul>AI-Assisted Development<ul><li>Leverage AI coding tools to accelerate development</li><li>Use prompt engineering to generate production-ready code, tests, and documentation</li><li>Review and refine AI-generated code for quality and security</li><li>Stay updated with latest AI tools and best practices</li></ul>Collaboration &amp; Delivery<ul><li>Work closely with product managers, designers, and analysts</li><li>Translate business requirements into technical solutions</li><li>Participate in Agile/Scrum ceremonies</li><li>Conduct code reviews and mentor junior developers</li><li>Ensure timely, high-quality feature delivery</li></ul>System Architecture &amp; DevOps<ul><li>Design scalable enterprise system architectures</li><li>Manage CI/CD pipelines and deployments</li><li>Optimize performance (APIs, databases, applications)</li><li>Implement security best practices</li></ul>Required Technical Skills<ul><li>Frontend: React.js Angular TypeScript JavaScript (ES6+) HTML5 / CSS3 Redux / State Management</li><li>Backend: Node.js PHP (Laravel/Core) Python (Django/Flask) </li></ul>REST API Design GraphQL Microservices Architecture<ul><li>Database &amp; Infrastructure: MySQL / PostgreSQL MongoDB Redis Docker Git / GitHub CI/CD Pipelines</li><li>AI Development Tools: Cursor AI Google Antigravity Windsurf / Codeium </li></ul>GitHub Copilot Claude / ChatGPT (Dev) AI Prompt Engineering LLM API Integration Required Experience<ul><li>4&ndash;5 years of hands-on full stack development experience</li><li>Proven experience delivering ERP, procurement, or enterprise systems</li><li>Strong experience with AI coding tools in professional environments</li><li>Expertise in at least:</li><li>2 Frontend frameworks (React, Angular)</li><li>2 Backend technologies (Node, PHP, Python)</li><li>Experience working in Agile/Scrum environments</li><li>Cloud experience (AWS, Azure, GCP) is a plus</li></ul>Education<ul><li>Bachelor&rsquo;s degree in Computer Science, IT, Software Engineering, or related field</li><li>Exceptional candidates without a degree but with strong portfolios may be considered</li></ul>Benefits and Incentives:<ul><li>13 Salaries Per Year (One Additional salary as a bonus)</li><li>Performance-Based Bonuses</li><li>Annual Leaves encashment</li><li>Monthly Regularity Allowance</li><li>Monthly Inflation Allowance</li><li>Maternity/Paternity Allowance</li><li>Maternity Leaves</li><li>Wedding Allowance</li><li>Provident Fund</li><li>Double salary on Gazetted Holidays</li><li>Special Allowance for Emergency</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>Advance Salary on Need Basis</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>Application Question(s):<ul><li>Do you have experience working with AI/LLMs or integrating APIs like OpenAI?</li><li>Have you used any AI coding tools (e.g., GitHub Copilot, ChatGPT, Cursor)? Please specify.</li><li>What is your expected salary?</li><li>How many years of experience do you have in full stack development?</li></ul>Work Location: In person

AI-Driven Full Stack Developer

Xinix

We are looking for a skilled Data Scraping and Lead Generation Specialist (2+ years) to build high-quality B2B lead databases and generate qualified meetings for product and service-based businesses. The role focuses on identifying Ideal Customer Profiles (ICP), extracting verified decision-maker data, and supporting outbound sales efforts through accurate and structured lead lists.The ideal candidate is experienced in using modern scraping tools, LinkedIn prospecting platforms, and data enrichment tools to deliver clean, targeted, and conversion-ready leads.Key Responsibilities:1. Lead Research &amp; ICP Selection2. Data Scraping &amp; Lead Extraction3. Data Enrichment &amp; Verification4. Outreach Support &amp; Meeting Generation5. Communication &amp; Relationship Understanding6. Tools &amp; Platforms Used:LinkedIn Sales Navigator- Lead discovery and targetingInstant Data Scraper- Web data extractionScrupp.io- LinkedIn data scrapingApollo.io - Lead enrichment and verificationSnov.io- Email extraction and validationHubSpot - Lead management and pipeline trackingRequired Skills &amp; Experience:- Experience in B2B lead generation, data scraping, or sales intelligence- Strong expertise with LinkedIn Sales Navigator and scraping tools- Ability to build ICP-based targeted lead lists- Understanding of email enrichment and verification workflows- Strong attention to detail and data accuracy- Good communication skills for understanding client requirements- Experience in SaaS, agencies, or B2B services is a plusNice to Have:- Experience working with cold email campaigns or outbound sales teams- Knowledge of automation tools and lead workflow systems- Experience in booking B2B meetings through outbound campaigns- Familiarity with CRM systems and sales pipelinesExperience:2-2.5 YearsPay: Up to Rs80,000.00 per monthWork Location: In person

B2B Data Scraping & Lead Generation Specialist

AXIOM WORLD

Job Summary We are looking for an enthusiastic and self-motivated Business Development Associate to join our growing team. This role is ideal for a fresh graduate eager to build a career in sales, marketing, and business growth. The successful candidate will contribute to lead generation efforts, execute targeted email marketing campaigns, and support data-driven decision-making through content and data extraction.Key Responsibilities <ul><li>Identify and qualify potential leads using Google, LinkedIn, and other prospecting tools.</li><li>Build and maintain accurate prospect lists aligned with business objectives.</li><li>Assist in the creation, execution, and monitoring of email marketing campaigns to engage potential clients.</li><li>Perform content and data extraction from various digital sources to support outreach and marketing strategies.</li><li>Maintain CRM records, ensuring data accuracy and tracking engagement activities.</li><li>Collaborate with the business development and marketing teams to design and implement targeted outreach initiatives.</li><li>Prepare periodic reports on lead generation activities, campaign performance, and data insights.</li></ul>Required Skills &amp; Qualifications <ul><li>Qualification: Business Administration, Marketing, or a related field.</li><li>6 months-1 year of experience in Email Marketing and Lead Generation.</li><li>Familiarity with email marketing platforms </li><li>Understanding of content/data extraction tools and basic research techniques.</li><li>Strong communication and interpersonal skills.</li><li>Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint).</li></ul>Location: Johar Town, Lahore (Onsite) Timings: 11:00 AM - 8:00 PMWork Location: In person

Business Development Associate (Email Marketing)

HR Force International

About the RoleWe are looking for a detail-oriented and data-driven CRM Executive &ndash; Sales Operations (HubSpot) to support and optimize our sales processes. This role is ideal for someone with hands-on CRM experience who wants to grow in Sales Operations / Revenue Operations.You will work closely with Sales, Marketing, Customer Success, and Finance teams to ensure accurate data management, smooth sales workflows, and actionable reporting that drives revenue growth.Key Responsibilities<ul><li>CRM Management (HubSpot):</li><li>Maintain and optimize HubSpot CRM, ensuring accurate data entry, pipeline management, and system hygiene.</li><li>Sales Operations Support:</li></ul>Assist in streamlining sales processes, improving workflows, and ensuring alignment with business goals.<ul><li>Data Management &amp; Reporting:</li></ul>Generate reports and dashboards on sales performance, pipeline health, and KPIs. Ensure data accuracy and consistency across systems.Analyze sales trends and performance data to identify gaps, opportunities, and areas for improvement.Coordinate with Marketing, Customer Success, and Finance teams to ensure seamless customer lifecycle management.Support the sales team with CRM training, tools, and resources to improve productivity and conversion rates.Assist in integrating CRM with other tools (marketing automation, reporting tools, etc.) and improve overall system efficiency.Monitor sales activities, campaigns, and initiatives, and provide actionable insights.Act as a point of contact for CRM-related queries and troubleshoot day-to-day operational issues.Requirements<ul><li>Sales Analytics:</li><li>Cross-Functional Collaboration:</li><li>Sales Enablement:</li><li>System Integration &amp; Optimization:</li><li>Performance Tracking:</li><li>Issue Resolution:</li><li>1&ndash;2 years of experience in CRM, Sales Operations, or Revenue Operations</li><li>Hands-on experience with HubSpot CRM (mandatory or highly preferred)</li><li>Strong understanding of sales pipelines, reporting, and analytics</li><li>Proficiency in Microsoft Excel / Google Sheets</li><li>Strong analytical and problem-solving skills</li><li>Excellent communication and coordination abilities</li><li>Ability to work in a fast-paced, collaborative environment</li></ul>Pay: Rs100,000.00 - Rs200,000.00 per hourExpected hours: 40.0 per weekWork Location: In person

CRM Executive – Sales Operations (HubSpot)

Explore 82+ Data architect in Lahore this May. Find roles across top companies and apply now to boost your career.