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Pakistan Single Window (PSW)

<div>
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 Build and optimize ETL pipelines for large-scale AI applications, integrating APIs, web scraping, and real-time data processing
 </li>
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 Develop and maintain scalable AI data infrastructure using PySpark, Pandas, SQL, and cloud services (Azure, AWS, GCP)
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 Implement retrieval-augmented generation (RAG) pipelines using FAISS, ChromaDB, and Pinecone for AI-driven insights
 </li>
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 Deploy and monitor AI applications using FastAPI, Streamlit, Docker, for real-time performance
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 Work with cross-functional teams to ensure data security, compliance, and AI model reliability in production environments
 
 
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 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field
 </li>
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 Atleast 2-4 years of experience in data engineering, AI/ML, or cloud-based AI infrastructure
 </li>
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 Expertise in Python, PySpark, and SQL for data transformation and large-scale processing
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 Experience with cloud platforms (AWS, Azure, GCP) for AI model deployment and data pipeline automation
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 Hands-on experience with vector databases (FAISS, ChromaDB, Pinecone) for efficient data retrieval
 </li>
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 Proficiency in containerization and orchestration tools like Docker and Kubernetes
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 Strong understanding of retrieval-augmented generation (RAG) and real-time AI model deployment
 </li>
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 Knowledge of API development and AI service integration using FastAPI and Streamlit/Dash
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 Ability to optimize AI-driven automation processes and ensure model efficiency
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 Strong analytical and problem-solving skills
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 Excellent communication and collaboration abilities
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 </ul>
</div>

AI Data Engineer

Pakistan Single Window

<div><ul><li>Build and optimize ETL pipelines for large-scale AI applications, integrating APIs, web scraping, and real-time data processing.</li>
<li>Develop and maintain scalable AI data infrastructure using PySpark, Pandas, SQL, and cloud services (Azure, AWS, GCP).</li>
<li>Implement retrieval-augmented generation (RAG) pipelines using FAISS, ChromaDB, and Pinecone for AI-driven insights.</li>
<li>Deploy and monitor AI applications using FastAPI, Streamlit, Docker, for real-time performance.</li>
<li>Work with cross-functional teams to ensure data security, compliance, and AI model reliability in production environments.</li>
</ul>
Requirements<ul>
<li>
Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field.</li>
<li>Atleast 2-4 years of experience in data engineering, AI/ML, or cloud-based AI infrastructure.</li>
<li>Expertise in Python, PySpark, and SQL for data transformation and large-scale processing.</li>
<li>Experience with cloud platforms (AWS, Azure, GCP) for AI model deployment and data pipeline automation.</li>
<li>Hands-on experience with vector databases (FAISS, ChromaDB, Pinecone) for efficient data retrieval.</li>
<li>Proficiency in containerization and orchestration tools like Docker and Kubernetes.</li>
<li>Strong understanding of retrieval-augmented generation (RAG) and real-time AI model deployment.</li>
<li>Knowledge of API development and AI service integration using FastAPI and Streamlit/Dash.</li>
<li>Ability to optimize AI-driven automation processes and ensure model efficiency.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Excellent communication and collaboration abilities.</li></ul></div>

WebDigitalSphere

Job description:We are looking for a Senior AI Engineer who is passionate about building cutting-edge AI and Machine Learning solutions. This role involves working with advanced technologies like NLP, Generative AI (GenAI), Large Language Models (LLMs), LangChain, GCP, Python, and Computer Vision to develop and deliver impactful AI-driven applications for clients across various industries.Key Responsibilities:<ul><li>Design, build, and deploy scalable AI/ML models and pipelines.</li><li>Work on NLP, GenAI, LLMs, LangChain, and Computer Vision projects.</li><li>Collaborate with data scientists, developers, and product teams to implement innovative solutions.</li><li>Optimize and fine-tune models for performance, scalability, and accuracy.</li><li>Integrate AI models into real-world applications and client systems.</li><li>Stay updated on the latest trends in AI, ML, and data science to enhance solution quality.</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>4&ndash;5 years of professional experience in AI/ML development.</li><li>Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.</li><li>Hands-on experience with NLP, LLMs, LangChain, and GCP (Google Cloud Platform).</li><li>Strong understanding of data preprocessing, model training, and deployment.</li><li>Excellent communication, teamwork, and problem-solving skills.</li></ul>Why Join Us:<ul><li>Competitive USD-based salary.</li><li>Opportunity to work with global clients and next-generation AI technologies.</li><li>Collaborative, innovative, and growth-oriented environment.</li></ul>Job Type: Full-timeWork Location: In person

Lead AI Engineer

Funprime technologies Pvt Ltd

We are hiring a AI Engineer with deep expertise in AI model development, optimization, and deployment. The role primarily focuses on enhancing existing AI models, improving their accuracy and efficiency, and managing server-side infrastructure for large-scale AI applications.Key Responsibilities<ul><li>Research, fine-tune, and enhance AI models for performance, scalability, and accuracy.</li><li>Develop backend systems to support model inference, data pipelines, and monitoring.</li><li>Manage and optimize server infrastructure (GPU-based systems, Docker, Kubernetes).</li><li>Deploy and maintain AI models in production with CI/CD pipelines.</li><li>Handle model versioning, testing, and performance evaluation.</li><li>Collaborate with cross-functional teams to ensure seamless model integration and stability.</li></ul>Required Skills <ul><li>Proficiency in Python, with experience in PyTorch, TensorFlow, or Transformers.</li><li>1-2 years of experience Required.</li><li>Strong understanding of machine learning model training, tuning, and deployment.</li><li>Experience with Docker, Kubernetes, Linux server management, and cloud environments (AWS / GCP / Contabo).</li><li>Solid knowledge of REST APIs, microservices, and data pipelines.</li><li>Familiarity with DevOps/MLOps tools and best practices.</li><li>Bonus: Experience in distributed training, GPU optimization, or custom model architectures.</li></ul>Job Type: Full-timeWork Location: In person

AI Engineer

ZIEL Global Private Limited

About the Role We&rsquo;re looking for an experienced AI Engineer to design and implement production-grade AI systems that automate complex workflows, enable intelligent decision support, and deliver real-time insights for enterprise operations. You will build and optimize large language model (LLM) applications integrated with live business data, ensuring performance, reliability, and compliance at scale.Key Responsibilities<ul><li>Develop intelligent agent workflows using frameworks such as LangChain or LangGraph</li><li>Integrate LLMs with APIs, databases, and external business systems</li><li>Design context-aware, multi-turn conversational systems and long-running agents</li><li>Build evaluation frameworks to measure system accuracy and business relevance</li><li>Fine-tune models for domain-specific use cases and explore reinforcement learning agents</li><li>Implement data security, compliance, and audit mechanisms for AI components</li></ul>Qualifications<ul><li>5+ years of software engineering or applied AI experience</li><li>Proven expertise building and deploying production AI/ML systems</li><li>Hands-on experience with major LLMs (OpenAI, Anthropic, or open-source)</li><li>Strong skills in Python and API-based system design</li><li>Familiarity with prompt engineering, RAG architectures, and vector databases</li><li>Excellent communication and analytical thinking skills</li></ul>Preferred<ul><li>Experience with industrial or procurement-based data domains</li><li>Familiarity with MRO or enterprise data environments</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you available to join immediately?</li><li>How would you rate your English communication skills, spoken and written?</li><li>What are your salary expectations?</li></ul>Work Location: In person

About the Role We&rsquo;re looking for a Data Engineer to build secure, reliable, and scalable data pipelines powering real-time analytics and AI insights. You&rsquo;ll design cloud-based architectures that process, clean, and deliver mission-critical data across operations.Key Responsibilities<ul><li>Design and maintain data pipelines for large-scale transactional and real-time data</li><li>Develop ETL/ELT workflows using Azure Data Factory, Databricks, or similar</li><li>Implement data quality, validation, and monitoring frameworks</li><li>Ensure compliance with data governance and protection regulations</li><li>Optimize data storage and access performance</li><li>Collaborate with AI, product, and backend teams for seamless data delivery</li></ul>Qualifications<ul><li>Bachelor&rsquo;s in Computer Science, Engineering, or related field</li><li>5+ years of data engineering experience</li><li>Expertise in SQL, Python, and Azure data services (Data Factory, Synapse, Data Lake)</li><li>Knowledge of both batch and streaming architectures</li><li>Strong understanding of data security and governance</li></ul>Preferred<ul><li>Experience with real-time analytics and industrial or procurement datasets</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you available to join immediately?</li><li>How would you rate your English communication skills, spoken and written?</li><li>What are your salary expectations?</li></ul>Work Location: In person

Data Engineer

KONISHI

Senior Software Engineer &ndash; AI Orchestration &amp; InfrastructureLocation: Islamabad (Remote Option Available for the Right Candidate)Employment: Full-timeAbout UsWe are building Konishi, an Agentic AI platform that automates critical parts of the insurance underwriting process. Our product focuses on extracting data from complex insurance documents, populating structured templates, and integrating seamlessly with enterprise systems.Underwriters currently spend about 800 hours per year on administrative tasks. Our mission is to recover this time, enabling them to focus on high-value decision-making. This is an opportunity to join at an early stage, where your work will have a direct and lasting impact on both the product and the company.The RoleAs a Founding Software Engineer, you will be responsible for building the backbone of our agentic AI system. You will work closely with the founder, who leads AI workflow design and integration, to:<ul><li>Build and maintain the agent orchestration layer, including state management, multi-agent workflows, retries, and parallel execution.</li><li>Set up secure and scalable infrastructure for on-premise, hybrid, and cloud deployments.</li><li>Ensure observability and traceability of agent operations through logging, metrics, and debugging tools.</li><li>Design and implement integrations with enterprise insurance systems such as email servers, underwriting software, and document workflows.</li><li>Apply best practices in software development, deployment, and security to meet the requirements of regulated enterprise environments.</li></ul>Responsibilities<ul><li>Develop and own the orchestration layer for multi-agent workflows.</li><li>Architect and implement scalable infrastructure using containerization (Docker/Kubernetes) and cloud services.</li><li>Design APIs and backend services to connect AI workflows with external systems.</li><li>Implement monitoring, logging, and debugging pipelines to ensure reliability and transparency.</li><li>Ensure data security through audit logging, role-based access control, and encryption in transit and at rest.</li><li>Collaborate closely with the founder to rapidly iterate on evolving product requirements.</li><li>Establish and maintain best practices in code quality, testing, and deployment.</li><li>Contribute to technical discussions with clients.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Software Engineering, Computer Science, or a related field with a strong academic record.</li><li>Minimum 5 years of professional software engineering experience (backend, infrastructure, or platform engineering).</li><li>Strong proficiency in Python and JavaScript, including asynchronous programming and API development.</li><li>Experience with cloud platforms and container orchestration (Docker/Kubernetes).</li><li>Familiarity with agentic AI design patterns (orchestrator-worker, hierarchical agents, parallel execution).</li><li>Experience integrating backend systems with enterprise software (APIs, email systems, Excel/Word automation, CRMs).</li><li>Strong understanding of security best practices, including authentication, encryption, and access control.</li><li>Demonstrated ability to deliver high-quality systems quickly.</li></ul>Nice to Have<ul><li>Experience with LangChain, LangGraph, or LlamaIndex.</li><li>Familiarity with MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication protocols.</li><li>Prior exposure to regulated industries such as insurance, banking, or healthcare.</li><li>Knowledge of observability frameworks (OpenTelemetry, Prometheus, Grafana).</li></ul>Why Join Us?<ul><li>High-impact role: Build the core backbone of a product that is redefining insurance technology.</li><li>Ownership: Take responsibility for critical architecture decisions as a founding engineer.</li><li>Growth: Work at the intersection of AI, backend engineering, and enterprise integration.</li><li>Mission-driven: Contribute to transforming how underwriters operate and deliver value.</li><li>Skin in the game: Equity options may be available for the right candidate.</li></ul>Join Konishi and help build the future of insurance!Job Type: Full-timePay: Rs500,000.00 - Rs600,000.00 per monthApplication Question(s):<ul><li>Tell me about your proudest accomplishment.</li><li>Can you give me an example of when you had to be resourceful to solve a unique problem?</li></ul>Work Location: In person

Founding Software Engineer - AI Orchestration & Infrastructure

Explore 408+ Ai data engineer in Islamabad Pakistan this November. Find roles across top companies and apply now to boost your career.

408 ai data engineer jobs IN Islamabad Pakistan

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Lead AI Engineer

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Founding Software Engineer - AI Orchestration & Infrastructure