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intelligence engineer

Prime System Solutions

<div>
 We're looking for an AI Engineer to design and develop practical AI solutions for our internal operations and client-facing workflows. You'll build intelligent systems that improve accuracy, automate processes, and enhance user experience.
 
 
 Key Responsibilities
 
 
 <ul>
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 Develop a chatbot that uses a predefined knowledge base to answer specific questions with accurate, controlled responses
 </li>
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 Build and optimize an AI-driven ticket routing system that classifies incoming tickets and assigns them to the right teams
 </li>
 <li>
 Work with operations and product teams to shape requirements and convert them into production-ready AI features
 </li>
 <li>
 Maintain model performance, update datasets, and ensure reliability and scalability of AI systems
 </li>
 <li>
 Implement best practices in prompt engineering, data handling, and model evaluation
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Experience with LLMs, NLP, and chatbot development
 </li>
 <li>
 Strong skills in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow)
 </li>
 <li>
 Understanding of classification models and workflow automation
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 <li>
 Ability to turn business needs into technical solutions
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 Prior experience deploying AI systems in production is a plus. rest api (fast or flask) or backend experience is a plus
 </li>
 </ul>
</div>

AI Engineer

Solvefy

Be a Part of Shaping the Future with AI!Are you passionate about creating intelligent systems powered by Artificial Intelligence and Machine Learning? We are seeking an AI Developer who can design, build, and deploy innovative AI-driven solutions using cutting-edge models, frameworks, and tools.In this role, you&rsquo;ll work with modern AI/ML models, data pipelines, and deployment platforms to deliver scalable applications. You&rsquo;ll also leverage advanced techniques such as large language models (LLMs), NLP, and AI-powered automation to transform business processes.Key Responsibilities<ul><li>AI Model Development: Design, train, and fine-tune machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, LightGBM, or Hugging Face Transformers.</li><li>Data Preparation: Build and maintain efficient data pipelines for training and evaluation using AI/ML data tools (e.g., Scikit-learn preprocessing, Spark MLlib).</li><li>AI Solutions &amp; LLMs: Apply LLMs, NLP techniques, and prompt engineering to enhance automation, intelligent assistants, and decision-making systems.</li><li>Deployment &amp; MLOps: Deploy, monitor, and manage AI/ML models on cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI) following MLOps best practices.</li><li>System Architecture: Implement scalable AI solutions using containerization (Docker, Kubernetes) and micro services-based designs.</li><li>Collaboration: Work closely with data engineers, product managers, and developers to translate business needs into AI-driven solutions.</li><li>Performance Optimization: Evaluate and improve model accuracy, scalability, and efficiency in production environments.</li><li>Research &amp; Innovation: Stay updated with the latest in AI frameworks, LLM advancements, and emerging ML technologies to drive innovation.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>2+ years of experience in AI engineering, machine learning, or applied data science roles.</li><li>Proficiency with AI/ML frameworks and libraries, including TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, LightGBM, and Hugging Face Transformers.</li><li>Hands-on experience with AI model development, including exposure to large language models (LLMs), NLP, and other advanced ML applications.</li><li>Familiarity with data processing and big data technologies (e.g., Spark MLlib, Hadoop, MLflow, Kubeflow).</li><li>Experience working with cloud-based AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI) for model deployment and scaling.</li><li>Knowledge of MLOps practices and lifecycle management for production-grade AI systems.</li><li>Strong foundation in machine learning algorithms, optimization techniques, and statistical modeling.</li><li>Experience implementing scalable AI solutions using Docker, Kubernetes, and micro services-based architectures.</li><li>Strong problem-solving ability, a collaborative mindset, and excellent communication skills for both technical and non-technical stakeholders</li></ul>What We Offer:<ul><li>Competitive Salary: Market-competitive salary with performance-based incentives.</li><li>Comprehensive Benefits: Provident Fund, Medical Allowance, and Umrah Allowance.</li><li>Wellness Perks: Gym and refreshment allowances.</li><li>Team Building: Annual trips, bi-annual dinners, and team events.</li><li>Additional Perks: Annual bonus, leave encashment, and a flexible leave policy (Casual, Sick &amp; Annual Leaves).</li></ul>Experience Level: 2+ yearsLocation: Johar Town, LahoreEmployment Type: Full-Time (On-Site)Office Timings: 12 PM &ndash; 9 PMJob Type: Full-timeWork Location: In person

AL GHANI Medical

Job Location: DHA Phase 8, LahoreJob Timing: 12:00 Pm to 8:00 Pm1. Lead Intelligence Engineering<ul><li>Build ICP-accurate prospect datasets using:</li><li>Apollo.io (advanced filters, intent, enrichment)</li><li>Clay.com (logic chains, enrichment waterfalls, AI prompts)</li><li>LinkedIn Sales Navigator (account &amp; persona mapping)</li><li>Design data logic, not just lists (segmentation, tagging, scoring inputs)</li><li>Ensure role accuracy, decision-maker alignment, and firmographic precision</li></ul>2. Local &amp; GMB Data Systems<ul><li>Extract Google My Business (GMB) datasets using:</li><li>Apify actors</li><li>Structured scraping workflows</li><li>Normalize and prepare data for ingestion into:</li><li>Make.com automations</li><li>GoHighLevel pipelines</li><li>Handle multi-location businesses without duplication or data corruption</li></ul>3. Data Integrity, Compliance &amp; Reliability<ul><li>Maintain:</li><li>Deduplication logic</li><li>Source traceability</li><li>GDPR-safe data handling</li><li>Document datasets for audit readiness</li><li>Ensure compatibility with Sky Outreach&rsquo;s AI Detection &amp; Scoring Engine</li></ul>REQUIRED SKILLS (NON-NEGOTIABLE)<ul><li>Apollo.io &mdash; advanced user</li><li>Clay.com &mdash; logic-based enrichment, AI usage</li><li>LinkedIn Sales Navigator &mdash; account-based targeting</li><li>Apify &mdash; GMB scraping</li><li>Google Sheets / Airtable &mdash; structured data handling</li></ul>Strong Advantage<ul><li>Make.com (scenario awareness)</li><li>GoHighLevel (data pipelines)</li><li>B2B or high-ticket industry exposure</li><li>Understanding of ICP modeling and intent signals</li></ul>Job Type: Full-timePay: Rs60,000.00 - Rs90,000.00 per monthApplication Question(s):<ul><li>Are you fully comfortable working on-site, full-time?</li><li>How many years of hands-on B2B lead intelligence / data research experience do you have?</li><li>tools you have used professionally?</li><li>expected salary according to your experience for that job position: please mention in range e.g ( 60,000 - 90,000 )</li></ul><ul><li>Clay.com and have you familair with appify actors Experience</li><li>This is a fully on-site role (not remote) &mdash; are you comfortable with that?</li><li>Are you comfortable working an evening shift?</li><li>What is your total professional experience relevant to this role?</li></ul>Work Location: In person

Lead Generation Specialist | Lead Generation Expert | B2B Lead Generation| On Site job in Lahore

Techtimize

Job Title: AI EngineerWe are looking for a talented AI Engineer with 1 year+ of experience in backend development using FastAPI and exposure to AI or Large Language Models (LLMs). The ideal candidate will be excited about working on AI-driven applications and contributing to innovative projects that leverage Generative AI technologies. Key Responsibilities: Develop and maintain backend services using Python (FastAPI). Design, document, and optimize RESTful APIs and microservices. Integrate and manage AI/LLM APIs (e.g., OpenAI, Anthropic, Hugging Face). Collaborate with the AI and frontend teams to build intelligent products. Ensure scalability, performance, and security of backend systems. Debug and enhance existing codebases to improve reliability and efficiency. Participate in on-site development sprints and team meetings.Required Skills &amp; Qualifications: Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field. 1 year+ of professional experience in Python backend development. Strong proficiency with FastAPI or similar frameworks. Understanding of AI/LLM concepts and familiarity with API integrations (e.g., OpenAI, Hugging Face). Experience with databases (PostgreSQL, MySQL, MongoDB). Knowledge of Git, Docker, and version control best practices. Strong problem-solving and teamwork skills.Plus Points (Preferred Skills): Hands-on experience with Generative AI models (e.g., GPT, Claude, Stable Diffusion). Familiarity with LangChain, Vector Databases (e.g., Pinecone, FAISS), or RAG pipelines. Experience in asynchronous programming and background task queues (Celery, Redis). Exposure to cloud platforms (AWS, GCP, or Azure).Job Type: Full-timeWork Location: In person

Axix Technologies

About the RoleAxix Technologies is hiring a high-potential AI Engineer Intern to work on production-grade Computer Vision, AI Agents, and end-to-end AI platforms. This role is not research-only&mdash;you&rsquo;ll build, deploy, optimize, and scale real systems used in live environments. Top performers will be offered a full-time position.Core Responsibilities<ul><li>Develop person detection &amp; tracking systems using YOLO, DeepSORT, ByteTrack</li><li>Build real-time video analytics pipelines</li><li>Design and deploy AI Agents &amp; agent workflows</li><li>Implement ML/DL model optimization (quantization, distillation, pruning)</li><li>Deploy models using OpenVINO / ONNX Runtime</li><li>Containerize services using Docker</li><li>Build microservices-based AI backends</li><li>Deploy and manage workloads on Kubernetes</li><li>Develop full-stack interfaces for AI systems (dashboards, APIs)</li><li>Integrate AI workflows using n8n automation</li></ul>Required Skills (Indeed SEO Optimized)<ul><li>Strong fundamentals in Computer Vision, ML &amp; Deep Learning</li><li>Hands-on with person detection &amp; tracking (DeepSORT, YOLO, OpenCV)</li><li>Experience with PyTorch / TensorFlow</li><li>Knowledge of AI Agents, Agent Orchestration &amp; Agent Flows</li><li>Familiarity with Cursor / AI-assisted IDEs</li><li>Experience with Docker &amp; containerized deployments</li><li>Understanding of microservices architecture</li><li>Basic working knowledge of Kubernetes (K8s)</li><li>Experience building REST APIs (FastAPI / Flask / Node.js)</li><li>Exposure to full-stack development (React/Vue + backend)</li><li>Strong Python skills (mandatory)</li></ul>Nice to Have<ul><li>MLOps basics (CI/CD, model versioning)</li><li>Edge AI or camera-based systems</li><li>LLMs, LangChain, RAG pipelines</li><li>Cloud platforms (AWS / GCP / Azure)</li></ul>What You&rsquo;ll Get<ul><li>PKR 20,000 monthly stipend</li><li>Work on enterprise-scale AI &amp; surveillance platforms</li><li>Exposure to real-time, high-load AI systems</li><li>Mentorship from senior AI &amp; systems architects</li><li>Clear career path to full-time AI Engineer</li><li>Hands-on experience with modern AI + DevOps stack</li></ul>How to ApplyEmail: careers@axixtechnologies.com WhatsApp/Call: 0300-1119405 Office: 138D1, Main Boulevard, Gulberg III, LahoreSubject: AI Engineer Intern &ndash; Computer Vision &amp; Full-StackJob Type: Full-timePay: Rs20,000.00 per monthWork Location: In person

AI Engineer Intern (Computer Vision | AI Agents | Full-Stack | MLOps)

Simcoe IT

We are looking for a motivated AI Engineer / API Integrator to join our growing AI development team. The ideal candidate will have hands-on experience in Python, API integration, and LangChain frameworks. You will be responsible for connecting and optimizing external AI and NLP APIs to power next-generation, multi-modal AI solutions.Key Responsibilities<ul><li>Integrate and manage external AI and NLP APIs within the AI Processing Router Engine.</li><li>Design and maintain query routing pipelines for text, image, and video workflows.</li><li>Test and optimize API performance and latency across different AI layers.</li><li>Handle API token management, authentication, and security.</li><li>Collaborate with backend engineers to ensure stable and scalable integration.</li></ul>Required Skills &amp; Experience<ul><li>2 years of hands-on experience with Python programming.</li><li>Solid understanding of LangChain, LLM workflows, and prompt optimization.</li><li>Proven ability in API integration (REST / GraphQL) and data handling.</li><li>Familiarity with AI model deployment and multi-modal (text / image / video) data routing.</li><li>Strong debugging, analytical, and documentation skills.</li></ul>Apply at: haroon@searchopal.com Or share CV via WhatsApp: 0337-9928258Job Type: Full-timePay: Rs80,000.00 - Rs90,000.00 per monthWork Location: In person

AI Engineer / API Integrator

Rapid Labs

About Us: Rapid Labs is a leader in the AI revolution, building innovative solutions across industries such as Retail, Healthcare, Legal, and Finance. We leverage AI technologies like Computer Vision, NLP, and AI-powered Chatbots to enhance user experiences and streamline operations. Join us to contribute to impactful AI solutions and shape the future of intelligent systems.Job Overview: We are seeking a talented AI Engineer with 2+ years of experience in machine learning and AI development, who can also create clear and actionable Product Requirements Documents (PRDs). The ideal candidate will design, develop, and deploy machine learning models, while translating business and product requirements into technical specifications for AI solutions.Key Responsibilities:<ul><li>Design, develop, and deploy machine learning models and AI systems.</li><li>Translate business needs and product goals into detailed PRDs including functional requirements, user stories, success metrics, and constraints.</li><li>Conduct data analysis, preprocessing, and feature engineering to support model development.</li><li>Integrate AI models into production systems in collaboration with engineers, data scientists, and product managers.</li><li>Optimize models for performance, reliability, and scalability.</li><li>Stay up-to-date with the latest AI research, tools, and best practices.</li><li>Document AI workflows, pipelines, and system architectures clearly for team and stakeholder use.</li><li>Participate in cross-functional meetings to ensure alignment of AI development with business objectives.</li><li>Work during night hours to support global teams and ensure timely delivery of projects.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>2+ years of hands-on experience in machine learning, AI, or related roles.</li><li>Strong programming skills in Python, experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn.</li><li>Knowledge of cloud platforms (AWS, GCP, Azure) preferred but not mandatory.</li><li>Strong understanding of data structures, algorithms, and software engineering principles.</li><li>Experience with model deployment, monitoring, and production pipelines.</li><li>Ability to create clear, detailed PRDs and translate business requirements into technical specifications.</li><li>Strong problem-solving, analytical thinking, and attention to detail.</li><li>Excellent communication skills and ability to collaborate with cross-functional teams.</li><li>Ability to work independently with minimal supervision.</li></ul>Salary &amp; Benefits:<ul><li>Competitive salary and fringe benefits</li><li>Paid Time Off &amp; Leave Encashment</li><li>EOBI</li><li>Professional Development &amp; Career Advancement</li><li>Team Building Activities &amp; Company Trips</li><li>Innovative Work Environment &amp; Wellness Programs</li><li>Performance-Based Promotions</li></ul>Location: TAMC Building, Gulberg-III, Lahore. Office Hours: 05:00 PM &ndash; 02:00 AM (Monday to Friday)Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have in creating Product Requirements Documents (PRDs)?</li><li>Have you independently created Product Requirements Documents (PRDs) from start to finish?</li><li>What is your current / last drawn salary?</li><li>What is your expected salary?</li><li>Are you willing to work on site in gulberg III from 05:00PM - 02:00 Am (Monday - Friday)</li><li>What is your notice period with the current employer (in days)?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI / ML: 2 years (Required)</li></ul>Language:<ul><li>English fluently (Preferred)</li></ul>Location:<ul><li>Lahore Gulberg Colony (54660) (Preferred)</li></ul>Work Location: In person

AI Engineer (Machine Learning & PRD Specialist)

Explore 247+ Intelligence engineer in Lahore this January. Find roles across top companies and apply now to boost your career.

247 intelligence engineer jobs IN Lahore

AI Engineer

AI Engineer

Lead Generation Specialist | Lead Generation Expert | B2B Lead Generation| On Site job in Lahore

AI Engineer

AI Engineer Intern (Computer Vision | AI Agents | Full-Stack | MLOps)

AI Engineer / API Integrator

AI Engineer (Machine Learning & PRD Specialist)