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Telenor

<div>Position Title: Senior AI Engineer
Reporting to: Director Automation Hub
Job Group: 2/3
Location: Islamabad
Division: Telenor Shared Services Pakistan
Department: Automation Hub
Unit: Finance &amp; Procurement Tribe
About Telenor Shared Services Pakistan
Telenor Shared Services Pakistan delivers transactional business services in the areas of Finance &amp; Accounting and IT. Together with Telenor Shared Services Norway it delivers efficient business support to Telenor employees to make their work easier.
Position Related
We are seeking a Senior AI Engineer with strong expertise in designing, building, and deploying secure and scalable AI solutions within enterprise environments. This role requires a unique blend of technical depth, business understanding, and the ability to translate complex AI concepts into practical, value-driven outcomes.
The ideal candidate will have a strong background in AI engineering, experience with LLMs and RAG architecture, AI Ops and the ability to collaborate across teams to deliver high-impact AI solutions.
Goals
Key Responsibilities<ul><li>
Design and deploy enterprise-scale LLM and AI solutions for NLP/ML, conversational AI, automation and agentic workflows.</li><li>
Build and optimize RAG pipelines using enterprise data sources with security and compliance as core principles.</li><li>
Develop and manage distributed training, fine-tuning, and inference systems optimized for large-scale workloads on cloud environments.</li><li>
Integrate AI models into enterprise workflows, APIs, microservices, and cloud platforms.</li><li>
Implement AIOps best practices for continuous integration, deployment, monitoring, governance, and lifecycle management of AI models.</li><li>
Ensure responsible AI usage, including explainability, bias mitigation, security, and auditability.</li></ul><ul><li>
Work closely with cross functional/technical teams to align AI solutions with business priorities,</li><li>
Translate functional requirements and communicate complex AI concepts clearly to technical and non-technical stakeholders.</li></ul>
Note: Above goals and job descriptions are indicative and subject to change
Experience &amp; Qualification<ul><li>
Bachelor&rsquo;s or master&rsquo;s in computer science, Software Engineering, AI/ML, Data Science, or a related field.</li><li>
7+ years of experience in AI/ML engineering or software engineering.</li><li>
At least 2&ndash;3 years of experience with LLM-based AI solutions in enterprise environments.</li><li>
Demonstrated ability to manage end-to-end delivery, including requirement gathering, solution design, implementation, and stakeholder communication.</li></ul>
Required Technical Skills<ul><li>
Strong proficiency in Python, clean architecture, and production-grade API development.</li><li>
Deep experience with LLM frameworks and tooling such as LangChain, LangGraph, LlamaIndex, or similar orchestration and agent frameworks.</li><li>
Experience with RAG systems, vector databases, and similarity search technologies.</li><li>
Expertise in model optimization: parameter-efficient tuning, quantization, mixed-precision, distributed parallelism.</li><li>
Experience deploying and scaling AI inference using optimized serving frameworks.</li><li>
Experience building multi-agent systems using agent orchestration tools.</li></ul>
Functional &amp; Behavioral Skills<ul><li>
Service-minded, open-minded, culturally aware.</li><li>
Highly structured, focused, and able to prioritize effectively.</li><li>
Innovative, curious, and a strategic thinker.</li><li>
Strong analytical and problem-solving abilities.</li><li>
Team-oriented with the ability to foster collaboration and psychological safety.</li><li>
Adaptable, proactive and comfortable working under strict deadlines.</li></ul>
Potential Career Path<ul><li>
Progression to Senior Manager/ Director roles AI and Data positions.</li></ul></div>

Senior AI Engineer

ZZ-Technologies, islamabad

Job Summary:We are seeking a skilled and innovative AI Engineer to design, develop, and implement AI-driven solutions to support our products and operations. The ideal candidate will have strong experience in machine learning, deep learning, data processing, and software engineering.Responsibilities:LLM Development &amp; Fine-Tuning<ul><li>Fine-tune and adapt state-of-the-art LLMs (e.g., LLaMA, GPT, Mistral, Gemma) for domain-specific tasks.</li><li>Implement advanced training strategies including LoRA, QLoRA, PEFT, and parameter-efficient adaptation methods.</li><li>Manage dataset preprocessing, curation, augmentation, and experiment tracking.</li><li>Optimize models for quality, latency, and memory efficiency across training and inference.</li></ul>GPU-Based Training &amp; Optimization<ul><li>Run and optimize training pipelines across multi-GPU environments (NVIDIA A100, H100, RTX, etc.).</li><li>Implement mixed-precision training, quantization, and distributed training (e.g., DeepSpeed, FSDP, DDP).</li><li>Monitor GPU performance, memory usage, and throughput to ensure optimal resource utilization.</li></ul>Model Serving &amp; Infrastructure<ul><li>Deploy LLMs using modern serving frameworks (vLLM, TensorRT-LLM, HuggingFace TGI, Triton).</li><li>Develop scalable inference architectures using Docker, Kubernetes, and cloud GPU infrastructure.</li><li>Build end-to-end pipelines for continuous training, evaluation, and automated deployment.</li></ul>Research, Experimentation &amp; Innovation<ul><li>Stay updated with cutting-edge research in transformers, embeddings, RAG, PEFT, and efficient fine-tuning.</li><li>Run experiments, benchmark models, and propose architectural or training improvements.</li><li>Prototype new capabilities and develop internal best practices for LLM workflows.</li></ul>Collaboration &amp; Leadership<ul><li>Work closely with product, engineering, and data teams to translate requirements into model behaviors.</li><li>Mentor junior engineers and contribute to technical design reviews and architecture decisions.</li><li>Communicate model performance, limitations, and trade-offs clearly to stakeholders</li></ul>Requirements:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Engineering, or a related field.</li><li>Strong coding skills in Python (TensorFlow, PyTorch, Scikit-learn, OpenCV, etc.).</li><li>Solid understanding of machine learning algorithms, deep learning, NLP, or computer vision.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is a plus.</li><li>Familiarity with MLOps tools (Docker, Kubernetes, MLflow, etc.) preferred.</li><li>Strong problem-solving skills and ability to work on complex, data-driven problems.</li><li>Ability to work collaboratively in a team-oriented environment.</li></ul>Preferred Qualifications:<ul><li>Experience deploying AI models in production environments.</li><li>Knowledge of LLMs (Large Language Models) and prompt engineering.</li><li>Background in data engineering or backend development.</li><li>Research experience or publications in AI/ML fields.</li></ul>You can share your cv on whtsapp as well. 03355707047Job Type: Full-timePay: Rs200,000.00 - Rs400,000.00 per monthWork Location: In person

Centrox AI

Location: Gulberg Greens, Islamabad Job Type: Full-timeJob SummaryWe are hiring an AI Engineer to design, build, and deploy machine learning solutions for real-world applications. The ideal candidate should be confident with ML/DL models, data pipelines, and production deployment practices.Key Responsibilities<ul><li>Develop and optimize machine learning and deep learning models.</li><li>Perform data preprocessing, feature engineering, and exploratory data analysis.</li><li>Deploy AI models using APIs, cloud services, or containerized environments.</li><li>Build scalable AI pipelines and automate workflows (MLOps).</li><li>Work on NLP, computer vision, or LLM-based systems depending on project needs.</li><li>Collaborate with cross-functional teams (DevOps, Backend, Product).</li><li>Prepare documentation, reports, and model performance evaluations.</li></ul>Required Skills &amp; ToolsTechnical Skills<ul><li>Strong understanding of Machine Learning algorithms &amp; Deep Learning concepts.</li><li>Hands-on experience with: Python, TensorFlow / PyTorch, Scikit-learn, Pandas, NumPy</li><li>Experience with NLP, Computer Vision, or LLMs (any specialization).</li><li>Practical knowledge of data pipelines, model training, fine-tuning, and evaluation.</li></ul>Tools &amp; Technologies<ul><li>Jupyter, Google Colab, or VS Code</li><li>Git / GitHub / GitLab</li><li>Docker (basic knowledge required)</li><li>Cloud platforms (AWS, Azure, GCP &ndash; basic experience is enough)</li><li>API Development (FastAPI or Flask)</li><li>Database basics (SQL, NoSQL)</li></ul>Experience Required<ul><li>1&ndash;3 years of experience in AI/ML Engineering</li><li>Strong internship + project portfolio (for fresh graduates)</li><li>Candidates with Kaggle, GitHub projects, hackathons, or published models/tools will be preferred.</li></ul>Preferred Qualifications <ul><li>Knowledge of MLOps tools (MLflow, DVC, Kubeflow).</li><li>Experience with LLM fine-tuning, embeddings, RAG pipelines, or vector databases.</li><li>Understanding of container orchestration (Kubernetes).</li><li>Any AI certifications (Coursera, Google, Udacity, etc.).</li></ul>What We Offer<ul><li>Competitive salary</li><li>Exposure to large-scale AI systems</li><li>Fast career growth opportunities</li><li>Mentorship from senior engineers</li><li>Friendly and learning-driven work environment</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How soon you can join?</li><li>What would be your salary expectations for this role?</li></ul>Experience:<ul><li>AI Related: 1 year (Preferred)</li></ul>Work Location: In person

AI Engineer

Taraki

<div>
 
 About Ruby
 
 
 
 Ruby is building vertical-specific AI agents for go-to-market (GTM) teams, backed by leading investors such as Inovia and NJP and used by customers at F1000 companies. Our team combines deep LLM expertise with domain knowledge to build a product that is practical, scalable, and reliable. The founding team has worked at companies like Snowflake and Salesforce in senior roles.
 
 
 Were growing our engineering team and looking for someone who thrives at the intersection of AI reasoning, backend systems, and automation.
 
 
 
 About The Role
 
 
 
 As an AI Backend Engineer, youll design and implement systems that power intelligent agents and AI capable of reasoning, using tools, and orchestrating multi-step workflows.
 
 
 Youll work closely with our applied AI and product teams to ship reliable, production-ready agent services built on top of cutting-edge models from OpenAI, Anthropic, and Gemini.
 
 
 
 What Youll Do
 
 
 
 <ul>
 <li>
 Design and implement multi-step reasoning architectures and tool-calling agents using OpenAI, Anthropic, and Gemini APIs.
 </li>
 <li>
 Build modular, scalable backend services with FastAPI (or similar frameworks), managing state, retries, and parallel execution.
 </li>
 <li>
 Integrate external tools and APIs such as GitHub, cloud providers, and databases into agent workflows using structured outputs.
 </li>
 <li>
 Develop workflow orchestration logic with async execution, background tasks, and queues (Redis, Celery, SQS).
 </li>
 <li>
 Manage CI/CD pipelines, containerized deployments (Docker), and Infrastructure as Code setups for production environments.
 </li>
 <li>
 Monitor and optimize system reliability, performance, and observability for live agent systems.
 
 
 
 </li>
 </ul>
 
 What Were Looking For
 
 
 
 <ul>
 <li>
 Experience designing or contributing to AI agent systems with multi-step reasoning or tool use.
 </li>
 <li>
 Strong Python backend engineering skills (FastAPI preferred).
 </li>
 <li>
 Experience with async programming, task queues, and state management.
 </li>
 <li>
 Hands-on with cloud deployment, CI/CD, Docker, and Infrastructure as Code.
 </li>
 <li>
 A practical mindset focused on reusing existing APIs and libraries to ship fast, reliable systems instead of reinventing the wheel.
 
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Familiarity with LangChain, LlamaIndex, or CrewAI-style orchestration frameworks.
 </li>
 <li>
 Experience with vector databases, retrieval-augmented generation (RAG), or LLM observability.
 </li>
 <li>
 Previous work on AI developer tools or production LLM applications.
 
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Learn from proven founders: Youll be part of a small, high-velocity team building the next generation of applied AI systems with founders who have seen it all from idea to IPO.
 </li>
 <li>
 Focus on craft: We value curiosity, clarity, and craft and were looking for engineers who care about solving real problems with elegant, reliable code.
 </li>
 <li>
 Make an impact: Youll be part of a small team and have an outsized impact.
 </li>
 <li>
 Be valued: We offer highly market-competitive compensation.
 
 </li>
 </ul>
</div>

AI Backend Engineer (Agent Systems) - Ruby

Vyro

<div>
 
 Who We Are
 
 
 
 Vyro is redefining the future of digital creativity. We build cutting-edge content creation tools powered by
 
 Artificial Intelligence
 
 and
 
 Machine Learning
 
 , helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.
 
 
 With a
 
 global user base of over 5 million active creators every month
 
 , Vyro&rsquo;s 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.
 
 
 From intuitive
 
 AI photo editors
 
 to
 
 next-gen video creation platforms
 
 , our products are designed to make creativity accessible, fast, and limitless.
 
 
 At Vyro, we&rsquo;re a team of
 
 innovators, builders, and dreamers
 
 &mdash; known as
 
 Vyronauts
 
 &mdash; driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.
 
 
 If you&rsquo;re excited about shaping the next wave of AI-powered creativity, Vyro is the place to be.
 
 
 
 About the Role:
 
 
 
 As a Senior Frontend Engineer at Vyro you will be responsible for developing user interfaces and ensuring the technical feasibility of UI/UX designs. Your expertise in React, NEXT JS, Tailwind CSS, and other frontend technologies will be crucial in delivering high-quality web applications.
 
 
 
 What You'll Do:
 
 
 
 <ul>
 <li>
 Develop and maintain efficient and reusable frontend components using React and NEXT JS
 </li>
 <li>
 Collaborate with designers and backend developers to implement responsive and interactive user interfaces
 </li>
 <li>
 Utilize, SASS (SCSS), CSS framework, specifically Tailwind, to create visually appealing and user-friendly designs
 </li>
 <li>
 Optimize and scale React/NextJs app for production
 </li>
 <li>
 Work with multiple State Management Libraries for client side and Tanstack Query for server side state management
 </li>
 <li>
 Ensure code quality and adherence for best practices
 </li>
 <li>
 Has knowledge of GIT for version control and collaboration with the development team
 
 
 </li>
 </ul>
 What We're Looking For:
 
 
 <ul>
 <li>
 Over 4 years of relevant experience in frontend development
 </li>
 <li>
 Proficiency in React, including experience with React libraries and frameworks such as NEXT JS. (Must Have)
 </li>
 <li>
 Strong knowledge and experience with CSS frameworks, particularly TailwindCSS. (Must Have)
 </li>
 <li>
 Expertise in TypeScript. (Must Have)
 </li>
 <li>
 Familiarity with release management and CI/CD pipelines. (Must Have)
 </li>
 <li>
 Familiarity with Linters and Husky (Minor Requirement but good to have)
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Opportunity to work on innovative AI products (Chatly and Imagine) that are shaping the future of user interaction and creativity
 </li>
 <li>
 Collaborate with a passionate and talented team that values data-driven decision-making
 </li>
 <li>
 Competitive salary and benefits package
 </li>
 <li>
 A culture that encourages growth, learning, and innovation
 
 
 </li>
 </ul>
 Powered by JazzHR
 
 
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</div>

Senior Frontend Engineer

convo

<div><h3 class="jobSectionHeader">Job Description</h3>
The Automation Test &amp; Integration Engineer will work at the intersection of AI-driven test generation and modern QA automation. This role involves validating and refining AI-generated test scripts (Selenium/Playwright), integrating them into CI/CD pipelines, and providing feedback to the AI engineering team to enhance automation accuracy and reliability. The engineer will also ensure seamless integration between automated testing and continuous deployment environments.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Review and validate AI-generated automation test scripts for accuracy, maintainability, and compliance with standards.</li><li>
Fix or enhance scripts generated by the AI system to ensure they are production-ready.</li><li>
Collaborate with AI engineers to provide structured feedback for improving prompt design and model accuracy.</li><li>
Integrate automation frameworks into CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions, etc.).</li><li>
Design and maintain reusable automation frameworks using Selenium, Playwright, or equivalent tools.</li><li>
Identify automation opportunities from manual test cases and suggest improvements to the AI generation process.</li><li>
Ensure test coverage, execution efficiency, and reporting in CI/CD workflows.</li></ul><h3 class="jobSectionHeader">
Required Skills</h3><ul><li>
Strong hands-on experience with Selenium, Playwright, or other test automation frameworks.</li><li>
Proficiency with JavaScript/TypeScript, Python, or C# for test scripting.</li><li>
Good understanding of Azure DevOps, Git, and CI/CD pipelines.</li><li>
Familiarity with test design principles, test data management, and version control.</li><li>
Analytical mindset to assess AI-generated outputs and suggest improvement patterns.</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience working with AI/ML-based test generation tools or frameworks.</li><li>
Familiarity with Postman, REST Assured, or API testing automation.</li><li>
Exposure to Docker or Kubernetes for testing in containerized environments.</li><li>
Experience with Playwright parallel execution, test dashboards, or reporting tools like Allure.</li></ul></div>

Sr. Automation Test & Integration Engineer

Darkroom

<div>
 
 Data Engineer | Matter
 
 
 
 
 About The Role
 
 
 
 We are seeking an experienced
 
 Senior Data Engineer
 
 . You&rsquo;ll work closely with our CTO, CPO, and product teams to architect, build, and deliver robust data pipelines and transformations for our always-on AI platform. Success in this role will have a direct, measurable impact on business outcomes and future product velocity.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Architect, build, and optimize scalable end-to-end data pipelines using dbt and our stack (Python microservices, Postgres, BigQuery, and GCP).
 </li>
 <li>
 Design, implement, and maintain ETL/ELT processes to ingest, clean, and transform large datasets from a variety of sources.
 </li>
 <li>
 Collaborate with product and engineering to define data requirements for new product features and analytics initiatives.
 </li>
 <li>
 Manage our data pipeline by onboarding new clients, loading their data, and applying all required formulas.
 </li>
 <li>
 Maintain and troubleshoot workflows by fixing broken formulas, adding new services, and ensuring reliable, high-throughput performance.
 </li>
 <li>
 Ensure data reliability, integrity, and security at scale.
 </li>
 <li>
 Troubleshoot, performance-tune, and document all pipelines and data workflows for smooth handoff.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 5+ years of hands-on experience building production-grade data pipelines, ETL/ELT workflows, and transformed datasets at scale.
 </li>
 <li>
 Expert-level Python; strong experience with dbt, Postgres, BigQuery, and core GCP data services (e.g., Dataflow, Pub/Sub, Storage, Composer).
 </li>
 <li>
 Demonstrated experience architecting, optimizing, and troubleshooting cloud-based data infrastructure.
 </li>
 <li>
 Familiarity with analytics, BI tools, and data visualization platforms is a plus.
 </li>
 <li>
 Startup or contract/consulting experience strongly preferred; you move quickly and commit to clear deliverables and deadlines.
 </li>
 <li>
 Excellent communication skills: you read requirements carefully, keep stakeholders looped in, and document as you go. You can boil down complex tasks into plain english for non-data engineers to understand.
 </li>
 <li>
 Low-ego, high-ownership, and passionate about building product-focused solutions.
 </li>
 </ul>
</div>

Data Engineer

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410 senior ai engineer jobs IN Islamabad

Senior AI Engineer

Senior AI Engineer

AI Engineer

AI Backend Engineer (Agent Systems) - Ruby

Senior Frontend Engineer

Sr. Automation Test & Integration Engineer

Data Engineer