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ai lead engineer

One Network

AI Engineer to lead the development of intelligent AI solutions, including chatbots, resume parsers, document automation tools, and conversational AI systems. You will own the end-to-end AI pipeline&mdash;from research and prototyping to deployment and optimization&mdash;delivering scalable, production-ready AI applications that improve efficiency and user experience..Duties &amp; Responsibilities<ul><li>Design and develop AI-powered chatbots and virtual assistants for customer support, internal workflows, and conversational interfaces.</li><li>Build intelligent document processing systems, including resume/CV parsers, contract analyzers, and automated data extraction pipelines.</li><li>Develop LLM-based agents for question-answering, compliance validation, sentiment analysis, and content summarization.</li><li>Create and optimize RAG (Retrieval-Augmented Generation) systems for accurate, context-aware information retrieval and generation.</li><li>Fine-tune and deploy open-source and proprietary LLMs (e.g., Llama, Mistral) for domain-specific applications.</li><li>Implement end-to-end AI solutions using Python and frameworks like PyTorch, TensorFlow, or equivalent.</li><li>Apply Computer Vision tools (YOLO, OpenCV) for document layout analysis and image-based data extraction.</li><li>Collaborate with cross-functional teams to integrate AI solutions into production systems.</li><li>Continuously research and adopt emerging AI technologies to enhance system capabilities.</li></ul>QualificationsBachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.Required Skills<ul><li>3&ndash;5 years of hands-on experience in AI/ML development, preferably in NLP, document automation, or conversational AI.</li><li>Strong proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow, HuggingFace).</li><li>Experience with resume parsing, document automation, or information extraction systems.</li><li>Familiarity with LLM architectures, fine-tuning, and deployment.</li><li>Knowledge of Computer Vision techniques and tools for document or image processing.</li><li>Excellent problem-solving skills and ability to deliver production-ready AI applications.</li><li>Strong communication skills and ability to work collaboratively in a fast-paced environment.</li></ul>Job Type: Full-timePay: Rs130,000.00 - Rs160,000.00 per monthWork Location: In person

AI Lead Engineer

Value Engineering

Role OverviewReporting to AI Lead / Solution Architect, this is a senior technical leadership role responsible for:&middot; Designing and deploying state-of-the-art LLMs and multi-modal AI models.&middot; Implementing agentic AI systems with RAG, self-RAG, and memory-optimized architectures.&middot; Leading cloud-based GPU LLM training pipelines, including data labeling, preprocessing, model training, and post-processing.&middot; Extending AI models into front-end applications and back-end pipelines.&middot; Managing staging, development, and production environments with SSH deployment and editing.Driving complex problem-solving, critical thinking, and innovative AI solutionsKey Responsibilities1. LLM Cloud Training &amp; Pipelines (Mandatory)&middot; Design and deploy LLM training pipelines on cloud GPU infrastructure.&middot; Manage data labeling, preprocessing, and post-processing for training datasets.&middot; Optimize model training, memory usage, and inference efficiency.&middot; Implement RAG-based pipelines, agentic RAG, and self-RAG for knowledge augmentation.2. Deep Learning &amp; Model Development&middot; Research, design, and implement Transformers, Vision Transformers, Diffusion Models.&middot; Optimize SAM models for tabular and image data, including preprocessing and post-processing.&middot; Implement multi-modal AI pipelines (text, image, video).&middot; Develop agentic AI models with adaptive memory and reasoning.3. Agentic AI &amp; Orchestration&middot; Design agent frameworks with orchestration, inter-agent communication, and protocol management.&middot; Integrate LangChain, LangGraph, or custom agent pipelines.&middot; Ensure AI agents are robust, scalable, and production-ready.4. Machine Learning for Real-World Data&middot; Implement ML models for tabular, image, and multi-modal data.&middot; Preprocess, normalize, and feature-engineer datasets for SAM and other model types.&middot; Translate research models into production pipelines with RAG augmentation.5. Front-End &amp; Back-End AI Integration&middot; Extend AI models into front-end applications (interactive AI features).&middot; Integrate AI models into back-end services for low-latency inference.&middot; Ensure seamless integration between AI models and application architecture.6. Production AI Infrastructure &amp; Deployment&middot; Deploy AI models on MCP / GPU servers, distributed clusters, or cloud infrastructure.&middot; Manage staging, dev, and production environments, including SSH deployment, editing, and version control.&middot; Implement monitoring and observability using Prometheus, Grafana, and custom dashboards.&middot; Maintain CI/CD for AI models, training pipelines, and data workflows, including Git/GitHub workflow management.7. Research to Production Translation&middot; Bring experimental AI models into production-grade systems.&middot; Validate model performance, reliability, and safety.&middot; Implement reproducibility, versioning, and automated retraining pipelines.8. Mentorship &amp; Leadership&middot; Mentor junior AI engineers and researchers.&middot; Establish best practices for AI experimentation, deployment, and RAG/agentic architectures.&middot; Contribute to AI roadmap and enterprise AI strategy.Required Experience&middot; 5+ years AI / Deep Learning / Research &amp; Production experience.&middot; Mandatory: Hands-on experience in LLM training pipelines, including cloud GPU infrastructure, data labeling, preprocessing, training, and post-processing.&middot; Deep knowledge of Neural Networks, Transformers, LLMs, Vision Transformers, Diffusion Models, Agentic AI, RAG/self-RAG pipelines.&middot; Hands-on experience with SAM models, tabular data ML, and preprocessing pipelines.&middot; Experience managing staging, dev, and production environments with SSH deployment, editing, and Git/GitHub workflow.&middot; Strong Computer Vision and Image Processing skills.&middot; Experience with agent orchestration, LangChain, LangGraph, and protocol optimization.&middot; Proven problem-solving, critical thinking, and innovative AI solution delivery.&middot; Experience integrating AI into front-end and back-end systems.Preferred Experience&middot; Experience with generative AI, diffusion models, multi-modal agents.&middot; Optimizing LLM memory, inference, and fine-tuning at scale.&middot; Experience in production RAG pipelines and knowledge-augmented AI systems.Application Question(s):<ul><li>Are you available to work from 2:00 PM &ndash; 11:00 PM shift Monday to Friday with alternate Saturday?</li></ul><ul><li>Are you comfortable working onsite from Bahria Phase 4, Rawalpindi?</li></ul><ul><li>How many years of experience do you have as a AI Engineer??</li></ul>Work Location: In person

AI Engineer

Teranoid Busniess Solutions

.NET (AI Prompt Engineer)We are looking for an experienced ASP.NET Developer with AI Prompt Engineering expertise to join our team. The ideal candidate will have strong command over the .NET platform, along with hands-on experience in integrating AI solutions and designing effective prompts for modern applications.This role combines backend development with AI innovation to build intelligent, scalable, and user-focused systems.Key Responsibilities<ul><li>Design, develop, and maintain web applications using C#, ASP.NET MVC/Core, and Web API.</li><li>Integrate AI-powered features using APIs such as OpenAI API or similar platforms.</li><li>Design and optimize prompts to ensure accurate, structured, and high-quality AI responses.</li><li>Work with MS SQL Server to write queries, optimize performance, and ensure data integrity.</li><li>Collaborate with project managers and team members to analyze requirements and deliver AI-enhanced solutions.</li><li>Build intelligent workflows such as chatbots, content generators, and automation tools.</li><li>Write clean, efficient, and maintainable code following best practices.</li><li>Troubleshoot, debug, and upgrade existing applications.</li><li>Integrate third-party APIs, web services, and AI-based systems.</li><li>Participate in code reviews and contribute to technical and prompt documentation.</li></ul>Required Skills<ul><li>4&ndash;5 years of professional experience in ASP.NET development.</li><li>Strong proficiency in C#, .NET Framework / .NET Core.</li><li>Hands-on experience with MS SQL Server, Entity Framework, and LINQ.</li><li>Experience integrating AI APIs and working with LLM-based systems.</li><li>Strong understanding of prompt engineering techniques (context design, role prompting, output structuring).</li><li>Good knowledge of JavaScript, jQuery, AJAX, HTML5, CSS3 (Angular/React is a plus).</li><li>Familiarity with REST APIs, JSON handling, and web standards.</li><li>Experience with version control systems (e.g., Git).</li><li>Strong understanding of OOP principles and design patterns.</li></ul>AI / Prompt Engineering Skills<ul><li>Ability to design prompts for different use cases (chatbots, automation, content generation).</li><li>Optimize prompts for accuracy, tone, and consistency.</li><li>Handle AI responses, validation, and fallback logic in applications.</li><li>Experience with AI-driven features like:</li><li>Smart assistants</li><li>Auto content generation</li><li>Recommendation systems</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical abilities.</li><li>Excellent communication and teamwork skills.</li><li>Ability to work independently and manage multiple tasks.</li><li>Passion for continuous learning in AI and emerging technologies.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.</li></ul>Bonus / Nice to Have<ul><li>Experience with Azure AI or cloud-based AI services</li><li>Prior work on AI-powered SaaS or automation tools</li><li>Understanding of AI limitations, hallucination handling, and response validation</li></ul>Job Type: Full-timePay: From Rs100,000.00 per monthWork Location: In person

.NET (AI Prompt Engineer)

CSG Architecture

Location: On-site (Full-time) &mdash; CSG Info Tech Office, Phase 7, Bahria Town, IslamabadReporting To: Project DirectorSalary Package: PKR 300,000 to PKR 500,000 per month.Role Purpose:We need a hands-on Senior Technical Project Manager who can lead end-to-end delivery of our enterprise transformation program, including:<ul><li>Microsoft Dynamics 365 Business Central (BC) customization + new modules,</li><li>Primavera (P6) integration with Business Central integration via APIs, and</li><li>A complete AI Agents program:</li></ul>&middot; Module AI Agents (one per BC module) trained on best practices + international standards and embedded to guide users step-by-step.&middot; A Master AI Agent with three capabilities:a) Horizon scanning + strategic planning (research &rarr; reports &rarr; long-term strategy)b) Market research + market plan generation (niche, customer base, buying power, competition, GTM plan)c) AI Voice Sales Agent (high-volume outbound calling capability) designed and governed with legal/ethical controls.This role owns both delivery leadership and technical governance (architecture reviews, CI/CD, integration quality, AI safety/compliance, and operational readiness).Key Responsibilities:1) Program &amp; Project Delivery Leadership (ERP + Integration + AI)<ul><li>Own the Project Execution Plan (PEP): scope baseline, schedule, resource/capacity plan, quality plan, risk plan, and communications plan.</li><li>Run the full delivery cadence: sprint planning, daily stand-ups, sprint reviews, retrospectives, and milestone gate meetings.</li><li>Manage and report scope/schedule/effort, RAID, dependencies, and change control to ensure predictable delivery.</li><li>Establish governance for multi-stream delivery (BC modules, Primavera integration, AI agents) including release train planning and cutover strategy.</li><li>Coordinate stakeholders (Project Director, Technical Supervisor/Lead, developers, QA, business users, external vendors).</li></ul>2) Azure DevOps Platform Ownership (End-to-End)<ul><li>Configure and administer Azure DevOps Projects:</li><li>Azure Boards: Epics/Features/Stories/Tasks/Bugs hierarchy, workflows, fields, dashboards, delivery plans, queries, and reporting.</li><li>Azure Repos: branching strategy, PR policies, code review rules, repo governance.</li><li>Azure Pipelines: CI/CD pipelines, release workflows, environment approvals, secrets management, rollback strategy.</li><li>Other Tools: Such as MS Fabric and Testing Tools etc.</li><li>Enforce &ldquo;ways of working&rdquo; discipline:</li><li>No work without work items</li><li>Estimation rules and sprint planning discipline</li><li>Daily updates of remaining work</li><li>Strong Definition of Done (DoD) and acceptance criteria at story/feature level</li></ul>3) Primavera integration with Business Central Integration (API Program Leadership)<ul><li>Lead and supervise the full integration lifecycle:</li><li>Requirements, integration architecture, mapping, API design, error handling, performance targets, security design, and documentation.</li></ul><ul><li>Ensure robust integration patterns:</li><li>Authentication/authorization (e.g., OAuth2/Azure AD), role-based access, audit logs</li><li>Retry logic, idempotency, reconciliation, monitoring/alerts</li><li>Manage integration testing: SIT/UAT, data validation, edge cases, cutover/go-live readiness.</li><li>Coordinate any middleware approach (e.g., Azure Functions/Logic Apps/Service Bus/API Management) as needed for reliable orchestration.</li></ul>4) AI Agents Program Leadership (Module Agents + Master Agent)A) Module AI Agents (one per module)<ul><li>Define a repeatable blueprint for module agents:</li><li>Knowledge scope (policies, SOPs, best practices, international standards)</li><li>User guidance flows (how-to, validations, coaching, checklists)</li><li>Access control by role (who can ask/see what)</li><li>Supervise technical approach (RAG, knowledge base governance, content updates, agent evaluations).</li><li>Ensure each module agent delivers:</li><li>Accurate operational guidance aligned to approved SOPs</li><li>Traceable sources/knowledge references (internal docs)</li><li>Feedback loop for continuous improvement</li></ul>B) Master AI Agent (3-level capability)<ul><li>Horizon scanning for long-term strategy</li><li>Build research workflows and reporting templates</li><li>Produce structured outputs: trends, risks, opportunities, scenarios, strategic initiatives and roadmap</li></ul><ul><li>Market research for market plan</li><li>Research niche, segmentation, customer base, pricing, competitor landscape, channels, GTM plan</li><li>Convert findings into a clear marketing plan (positioning, funnel, budget logic, KPIs)</li><li>AI voice sales agent</li><li>Lead design and governance for outbound calling capability at scale</li><li>Implement controls: consent, DNC compliance, call recording policy, escalation to human, QA sampling, and script/version control</li><li>Define KPIs: connect rate, qualification rate, conversion rate, compliance rate, and customer satisfaction</li></ul>5) Quality, Security, and Engineering Governance<ul><li>Partner with the Technical Supervisor/Lead to enforce:</li><li>PR discipline, code quality gates, branching policy, peer reviews</li><li>Automated testing where feasible; structured manual testing where needed</li><li>Defect lifecycle management, regression control, release readiness</li><li>Track engineering metrics: defect trends, rework ratio, lead/cycle time, deployment success rate, change failure rate.</li><li>Ensure security and compliance basics across ERP + integrations + AI:</li><li>Secrets management, least-privilege access, audit logs, data protection, and environment controls.</li></ul>6) Collaboration &amp; Documentation Governance (Teams + SharePoint/OneDrive)<ul><li>Configure Azure DevOps with Teams integration (alerts for work items/PRs/ builds/releases) and Time Doctor etc.</li><li>Build a structured SharePoint/Teams documentation system for:</li><li>PEP, BRDs/FRDs, designs, test artifacts, change requests, training, cutover/go-live checklists.</li><li>Implement SharePoint/OneDrive approvals for governance gates (requirements/design/UAT/go-live).</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science / Software Engineering (or equivalent experience).</li><li>8+ years in software delivery, including 3+ years as Technical PM / Scrum Master / Delivery Lead / TPM.</li><li>Proven delivery experience of enterprise applications (ERP/CRM/large-scale business systems).</li><li>Strong hands-on experience with Azure DevOps (Boards, Repos, Pipelines).</li><li>Strong understanding of Agile/Scrum + Hybrid governance (waterfall gates + sprint execution).</li><li>Excellent communication, reporting, stakeholder management, and team leadership skills.</li></ul>Must-Have Technical Skills<ul><li>.NET / C# understanding (able to review code and unblock engineers).</li><li>Azure fundamentals: App Services/Functions, Key Vault, Storage, Azure SQL (working knowledge).</li><li>API integrations: REST, authentication, webhooks, error handling, logging/monitoring.</li><li>SQL: query ability + performance basics.</li><li>Git branching strategies + PR best practices + CI/CD concepts.</li></ul>Preferred / High-Value Experience<ul><li>Dynamics 365 Business Central: AL language, extensions, BC APIs, permissions, environments.</li><li>Primavera P6 integration: experience with P6 APIs (EPPM/REST) and schedule/cost/resource data mapping.</li><li>Azure Integration Services: API Management, Service Bus, Logic Apps, Functions (or equivalent).</li><li>Power BI for executive dashboards and delivery reporting.</li><li>Test management: SIT/UAT planning, release readiness, production cutovers.</li></ul>AI / Agent Expertise (Preferred)<ul><li>Experience managing delivery of AI assistants/agents in enterprise settings:</li><li>Knowledge base governance, evaluation/testing, prompt/version control, role-based access.</li><li>Familiarity with agent orchestration patterns (multi-agent workflows, tool/function calling).</li><li>Understanding of RAG architecture (Azure OpenAI + Azure AI Search or equivalent) and secure integration into ERP modules.</li></ul>Key Deliverables / Success Measures (KPIs)<ul><li>PEP established and maintained; cadence running consistently.</li><li>Reliable forecasting and visibility via Azure DevOps dashboards and reports.</li><li>Stable CI/CD pipelines with controlled releases and reduced deployment risk.</li><li>Successful Primavera &harr; BC integration: accurate data flow, monitoring, auditability, and low defect rate.</li><li>Deployment of module AI agents with measurable improvement in user adoption, process compliance, and reduced support load.</li><li>Master AI agent producing usable strategy/market outputs on a repeatable schedule.</li><li>AI voice agent delivered with compliance controls, QA process, and conversion KPIs.</li></ul>Working Model<ul><li>Full-time, on-site (Islamabad office) with direct coordination across developers, QA, business users, and leadership.</li></ul>May coordinate/work with external vendors/consultants/developers as required, but remains accountable for delivery outcomes.Job Type: Full-timePay: Rs300,000.00 - Rs500,000.00 per monthWork Location: In person

Senior Technical Project Manager (Software Engineering Background)

ProvoxGlobal

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 Audit &amp; Strategy Development
 
 
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 Conduct comprehensive audits across SEO, GEO, and AEO dimensions (technical, on-page, off-page, and AI visibility).
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 Develop and implement data-driven strategies to increase clients&rsquo; visibility in both organic and generative search results.
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 Identify and act on opportunities to improve brand citations, entity structure, and AI retrievability.
 
 
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 Execution &amp; Optimization
 
 
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 Implement cutting-edge SEO and GEO techniques, including structured data, knowledge graph optimization, entity linking, and conversational search intent modeling.
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 Optimize for AI-generated answers and AI Overviews, tracking performance and visibility metrics.
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 Use and test new AI/SEO tools and automation workflows to streamline optimization, analysis, and reporting.
 
 
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 </ul>
 Collaboration &amp; Leadership
 
 
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 Work closely with internal teams to ensure seamless execution of campaigns and experiments.
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 Take ownership and proactively identify gaps and lead initiatives to fix or improve them.
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 Stay up to date on AI, search trends, and emerging technologies, sharing insights that benefit both clients and internal processes.
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SEO Specialist

SFR Digital

We're building the next generation of SEO content. You're invited to help shape it.We&rsquo;re hiring a Content Writer to produce SEO-optimized blog posts, landing pages, and web content using structured briefs and AI tools like ChatGPT. You&rsquo;ll work closely with an SEO Lead, follow clear SOPs, and grow fast.What You&rsquo;ll Do<ul><li>Write blog posts and landing page copy</li><li>Follow SEO content briefs</li><li>Edit and refine AI-generated drafts</li><li>Do basic topic + keyword research</li><li>Collaborate with SEO and design teams</li></ul>What We&rsquo;re Looking For<ul><li>Strong English writing and grammar</li><li>1&ndash;3 years of content writing experience</li><li>Bachelor&rsquo;s degree in English, Mass Communication, Linguistics, or a related field</li><li>Familiar with ChatGPT, Grammarly, or Surfer SEO</li><li>Attention to detail and ability to follow structure</li><li>Bonus: BS English &amp; Linguistics</li></ul>What You&rsquo;ll Get<ul><li>Direct mentorship + structured feedback</li><li>Work on real SEO content for global clients</li><li>Access to premium tools and SOPs</li><li>Fast learning and clear career growth</li></ul>Location: On-Site &ndash; Bahria Town RawalpindiWe read every single job application to give everyone a fair shot. APPLY NOW!Job Type: Full-timeApplication Question(s):<ul><li>How many years of content writing experience do you have?</li><li>Can you work full-time on-site in Bahria Town, Rawalpindi?</li><li>What is your expected salary?</li></ul>Work Location: In person

Content Writer

Campus 92

Job Summary:We are seeking a passionate and knowledgeable Computer Teacher with expertise in Artificial Intelligence (AI) in Night Shift to join our academic team. The ideal candidate will be responsible for teaching computer science fundamentals along with advanced AI topics, fostering innovation and curiosity among students.Key Responsibilities:<ul><li>Plan, prepare, and deliver engaging lessons in Computer Science and AI.</li><li>Teach foundational computing skills and AI concepts to students.</li><li>Guide students on AI projects, including real-world applications and research-based learning</li><li>Stay updated with current AI trends, tools, and technologies</li><li>Collaborate with academic staff to improve the AI curriculum</li><li>Maintain appropriate records of student progress and performance.</li></ul>Education:<ul><li>Bachelor's or Master&rsquo;s Degree in Computer Science, Artificial Intelligence, Data Science, or related field</li><li>Prior teaching experience in an online institute</li><li>Hands-on experience in AI/ML projects or tools.</li><li>Additional certifications in AI/ML (preferred)</li><li>Excellent communication and presentation skills</li></ul>Contact us through whats app:03350199479Job Type: Full-timePay: Rs45,000.00 - Rs60,000.00 per monthApplication Question(s):<ul><li>Willing to work in night shift?</li></ul>Location:<ul><li>Rawalpindi (Preferred)</li></ul>Work Location: In person

Computer Teacher (Night Shift)

Explore 84+ Ai lead engineer in Rawalpindi this March. Find roles across top companies and apply now to boost your career.