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Provox Global Solutions

1. Developer skills:<ul><li>Skilled at working in the Google GCP environment.</li><li>DialogFlow / CCAI Expert for development and maintenance: traditional structured DF and newer AI enabled playbooks</li><li>Middle / Backend: Expert at Node.js, Fetch()/APIs, SQL and JSON</li><li>Front / middle: Expert with html/javascript and UI design standards</li><li>Profecient managing shared global variables and objects in high volume concurrency applications</li><li>Experience with secure / JWT / OAUTH authentication</li><li>Bonus: AI / Gemini prompting and Vertex API integrations, potential for tuned fine-tuned modeling for advancing VA with common CC tasks &ndash; or assisting CC human reps</li><li>Bonus: Experience building or implementing custom Speech to text models (STT) or deploying third party codex.</li></ul>2. DevOps / Cloud Functions Backlog<ul><li>Config/consult on GCP and DF environments, env variables, migration paths/controls</li><li>Setup/maintain databases DBMS (MySql) with corresponding BI/reporting/analytic tools (Looker?)</li><li>CI/CD code control (Visual Studio?), code needs to be more modularized / multi-coder to cloud function deployment (local environment) with repo like Github</li><li>Config/consult, monitor CPUs, code errors, alerts</li></ul>Testing and Support<ul><li>Monitor and research expectations and errors &ndash; leading to defect improvement, defect fixes and general continuous improvement</li><li>OLS (web) Test Automation: regression and high-volume stress testing</li><li>VA Test Automation: via Phone dialing appliance and spoken recordings</li><li>Test automation (if possible) for voice and backend (as much as possible)</li><li>Monitor integrations to Dentrix, EzText, PhoneNumLookup, etc.</li></ul>4. Business Ops / Call Center Quality Control:<ul><li>Monitor no-match phrases, disconnects, dead ends leading to DialogFlow tuning.</li><li>System to Monitoring (solution) AI &lsquo;hallucinations&rsquo; / proper grounding, ensure coherent dialog with customer &ndash; continuous VAS improvements</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>This is an on-site position with shift hours from 7 PM to 4 AM Pakistan Time. Are you comfortable with this shift schedule?</li></ul>Experience:<ul><li>NodeJs: 2 years (Required)</li><li>CI/CD: 1 year (Required)</li><li>AI : 2 years (Required)</li></ul>Work Location: In person

AI Software Engineer

Cloudelligent

<div>Position Title: Quality Assurance Engineer
Location: Islamabad
Job Timings: 6pm-3am Pakistan Time (PKT)
About Cloudelligent
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to startups and SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.
Job Objective
As a QA Engineer, you will test and validate in-house SaaS and AI-enabled applications built on AWS cloud environments. This role requires strong ownership, attention to detail, and execution excellence to help deliver reliable, high-quality products.
Responsibilities<ul><li>
Perform manual and automated testing of client/server, web-based, and emerging AI-driven applications.</li><li>
Collaborate with cross-functional teams to review requirements, specifications, and design documents.</li><li>
Develop and execute test plans and test cases, including smoke, regression, functional, UAT, and deployment testing.</li><li>
Estimate, prioritize, plan, and coordinate testing activities with Dev and QA team members.</li><li>
Execute manual test scripts, capture results, and maintain accurate test documentation in JIRA.</li><li>
Identify, document, and track defects with clear, reproducible steps.</li><li>
Ensure proper test coverage and identify potential risks in both web applications and AI-related flows.</li><li>
Contribute to process improvements that strengthen the QA lifecycle.</li><li>
Stay updated on SaaS, AI, cloud technologies, and modern testing methodologies.</li></ul>
Requirements<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related discipline.</li><li>
3&ndash;5 years of experience as a QA Engineer testing frontend and backend components.</li><li>
Experience testing SaaS applications.</li><li>
Ability to quickly learn and apply new technologies, including AI and cloud platforms.</li><li>
Experience with automation tools and scripting (web apps; AI testing is a plus).</li><li>
Hands-on familiarity with AWS services (EC2, RDS, EKS, S3, etc.).</li><li>
Strong ability to write and maintain detailed test plans, cases, and user stories.</li><li>
Experience executing SQL queries for backend data validation.</li><li>
Proven ability to identify, report, and track bugs with clarity.</li><li>
Comfortable working in Agile/SCRUM environments with JIRA.</li><li>
Solid understanding of SDLC and software testing best practices.</li><li>
Basic programming knowledge (Python preferred) is a plus.</li><li>
Excellent verbal and written communication skills.</li><li>
Ability to work collaboratively across global teams.</li></ul>
Nice to Have<ul><li>
AWS certifications.</li><li>
Experience validating AI/ML models.</li><li>
Exposure to CI/CD pipelines or DevOps environments.</li></ul>
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Quality Assurance Engineer

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

<div>
 
 Position Title:&nbsp;Quality Assurance Engineer &nbsp;
 
 
 Location:&nbsp;Islamabad&nbsp;
 
 
 Job Timings:&nbsp;6pm-3am Pakistan Time (PKT)&nbsp;
 
 
 
 
 
 About Cloudelligent&nbsp;
 
 
 
 Cloudelligent is&nbsp;Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to startups and SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses&nbsp;to make&nbsp;the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.&nbsp;
 
 
 
 Job Objective&nbsp;
 
 
 
 As a QA Engineer, you will test and&nbsp;validate&nbsp;in-house SaaS and AI-enabled applications built on AWS cloud environments. This role requires strong ownership, attention to detail, and&nbsp;execution&nbsp;excellence to help deliver reliable, high-quality products.&nbsp;
 
 
 
 Responsibilities&nbsp;
 
 
 <ul>
 <li>
 
 Perform manual and automated testing of client/server, web-based, and emerging AI-driven applications.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Collaborate with cross-functional teams to review requirements, specifications, and design documents.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Develop and execute test plans and test cases, including smoke, regression,&nbsp;functional, UAT, and deployment testing.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Estimate, prioritize, plan, and coordinate testing activities with Dev and QA team members.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Execute manual test scripts, capture results, and&nbsp;maintain&nbsp;accurate&nbsp;test documentation in JIRA.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Identify, document, and track defects with clear, reproducible steps.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Ensure proper test coverage and&nbsp;identify&nbsp;potential risks in both web applications and AI-related flows.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Contribute to process improvements that strengthen the QA lifecycle.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Stay updated on SaaS, AI, cloud technologies, and modern testing methodologies.&nbsp;
 
 </li>
 </ul>
 
 
 Requirements&nbsp;
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related discipline.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 3&ndash;5 years of experience as a QA Engineer testing frontend and backend components.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience testing SaaS applications.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Ability to quickly learn and apply&nbsp;new technologies, including AI and cloud platforms.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience with automation tools and scripting (web apps; AI testing is a plus).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Hands-on familiarity with AWS services (EC2, RDS, EKS, S3, etc.).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Strong ability to write and&nbsp;maintain&nbsp;detailed test plans, cases, and user stories.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience executing SQL queries for backend data validation.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Proven ability to&nbsp;identify, report, and track bugs with clarity.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Comfortable working in Agile/SCRUM environments with JIRA.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Solid understanding of SDLC and software testing best practices.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Basic programming knowledge (Python preferred) is a plus.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Excellent verbal and written communication skills.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Ability to work collaboratively across global teams.&nbsp;
 
 </li>
 </ul>
 
 
 Nice to Have&nbsp;
 
 
 <ul>
 <li>
 
 AWS certifications.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience&nbsp;validating&nbsp;AI/ML models.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Exposure to CI/CD pipelines or DevOps environments.&nbsp;
 
 </li>
 </ul>
 
 
</div>

HyperSoft Tech

About the RoleWe are seeking a skilled AI Engineer with 3+ years of experience to design, develop, and implement AI solutions. The candidate will work on machine learning models, data analysis, and AI-driven applications to help our products deliver intelligent features.Key Responsibilities<ul><li>Develop, train, and deploy AI/ML models for various applications.</li><li>Work with data scientists, developers, and product teams to integrate AI solutions into products.</li><li>Preprocess, analyze, and interpret large datasets to build AI models.</li><li>Ensure model performance, accuracy, and scalability.</li><li>Collaborate in code reviews, model testing, and deployment processes.</li><li>Stay updated with AI/ML research, tools, and industry trends.</li><li>Document processes, methodologies, and model performance metrics.</li></ul>Requirements &amp; Skills<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, AI, or related field.</li><li>3+ years of hands-on experience in AI/ML development.</li><li>Strong knowledge of Python, R, or Java, and AI frameworks like TensorFlow, PyTorch, or Scikit-learn.</li><li>Experience with data preprocessing, feature engineering, and model evaluation.</li><li>Familiarity with cloud services (AWS, Azure, GCP) for AI deployment.</li><li>Good problem-solving, analytical, and teamwork skills.</li><li>Understanding of software development lifecycle (SDLC) is a plus.</li></ul>Preferred (Optional)<ul><li>Experience in NLP, computer vision, or generative AI.</li><li>Knowledge of deploying AI models in production environments.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthWork Location: In person

AI Engineer (Mid-Level)

Value Engineering

Position: AI/ML EngineerLocation: On-siteEmployment Type: Full-timeAbout the RoleWe are seeking a highly skilled and motivated AI/ML Engineer to join our team. The ideal candidate will have a strong foundation in machine learning, deep learning, and data engineering, with the ability to design, build, and deploy AI solutions that solve complex real-world problems. You will collaborate closely with software engineers, data scientists, and product managers to integrate AI models into production systems and continuously improve their performance.Key Responsibilities<ul><li>Model Development &amp; Research</li><li>Design, train, and fine-tune machine learning and deep learning models for tasks such as classification, regression, NLP, computer vision, and generative AI.</li><li>Research and evaluate emerging AI/ML frameworks, architectures, and techniques to keep our systems cutting-edge.</li><li>Data Engineering</li><li>Collect, preprocess, clean, and transform structured and unstructured datasets (text, images, audio, PDFs, etc.).</li><li>Implement feature engineering, dimensionality reduction, and data augmentation techniques.</li><li>Deployment &amp; Scaling</li><li>Package and deploy models into production environments (e.g., using FastAPI, Flask, TensorFlow Serving, TorchServe, or Kubernetes).</li><li>Ensure scalability, performance, and security of deployed AI solutions.</li><li>MLOps &amp; Automation</li><li>Implement CI/CD pipelines for ML workflows (training, testing, deployment).</li><li>Use tools like MLflow, DVC, Airflow, or Kubeflow to manage experiments, track models, and orchestrate workflows.</li><li>Collaboration</li><li>Work with cross-functional teams to understand requirements and deliver AI-driven solutions.</li><li>Document designs, processes, and results for both technical and non-technical stakeholders.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field. (PhD is a plus.)</li><li>Solid programming skills in Python (experience with libraries like TensorFlow, PyTorch, Scikit-learn, Hugging Face).</li><li>Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and statistical modeling.</li><li>Proficiency in handling large datasets, SQL/NoSQL databases, and data pipelines.</li><li>Experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).</li><li>Knowledge of version control (Git) and collaboration tools (Bitbucket, GitHub, GitLab).</li></ul>Preferred Skills<ul><li>Experience in NLP (transformers, LLM fine-tuning), Computer Vision, or Generative AI.</li><li>Familiarity with vector databases (Pinecone, Weaviate, pgvector, Chroma) for RAG pipelines.</li><li>Understanding of MLOps best practices (CI/CD for ML, model monitoring, drift detection).</li><li>Strong mathematical foundation (linear algebra, probability, optimization).</li><li>Prior experience in deploying end-to-end AI applications in real-world scenarios.</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical mindset.</li><li>Ability to work independently and in a collaborative environment.</li><li>Excellent communication skills to explain complex AI/ML concepts to non-technical teams.</li></ul>Job Type: Full-timePay: Rs400,000.00 - Rs600,000.00 per monthApplication Question(s):<ul><li>Are you comfortable commuting to bahria phase 4 Rawalpindi on daily basis?</li></ul>Work Location: In person

Lead AI/ML Engineer

Webrange Solutions

Webrange Solutions is a dynamic software development company that prides itself on it's team of talented and dedicated employees. We believe that our success is built on the skills and passion of our people. We are committed to providing our team with challenging and rewarding projects, ongoing training and development opportunities, and a collaborative and supportive work environment. We value creativity, innovation, and the ability to think outside the box, and we recognise and reward hard work and dedication.We are looking for passionate AI Engineer to join our team and gain hands-on experience in cutting-edge AI research and development. Join our team and be a part of creating cutting-edge technology that makes a difference in the world.Key Responsibilities<ul><li>Assist in designing, developing, and fine-tuning NLP and generative AI models (LLMs, embeddings, transformers).</li><li>Work with text datasets to preprocess, clean, tokenize, and analyze data for NLP applications.</li><li>Integrate OpenAI, Azure OpenAI, or similar LLM-based APIs into web and mobile applications.</li><li>Build and optimize prompt engineering workflows, embeddings-based search, RAG (Retrieval-Augmented Generation), and conversational AI systems.</li><li>Contribute to deploying NLP/LLM models, monitoring their performance, and improving response quality.</li><li>Research emerging AI and LLM technologies (OpenAI, Anthropic, Meta, Google, etc.) and present insights to the team.</li><li>Collaborate with developers and product teams to design intelligent AI-driven features and prototypes.</li></ul>Requirements<ul><li>Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>Solid understanding of NLP concepts: tokenization, attention mechanisms, transformers, embeddings, and text classification/generation.</li><li>Proficiency in Python and NLP/AI libraries such as HuggingFace Transformers, spaCy, NLTK, LangChain, or LlamaIndex.</li><li>Experience integrating OpenAI or Azure OpenAI APIs (ChatCompletions, Assistants, Embeddings, Fine-Tuning).</li><li>Familiarity with RAG pipelines, vector databases (Pinecone, FAISS, Weaviate, Chroma), and prompt engineering best practices.</li><li>Understanding of model evaluation techniques for NLP: BLEU, ROUGE, perplexity, embedding similarity, etc.</li><li>Experience with SQL/NoSQL databases is a plus.</li><li>Knowledge of cloud platforms (AWS, GCP, or Azure) and deploying AI workloads is a bonus.</li><li>Strong problem-solving skills and a passion for NLP and generative AI research.</li><li>Ability to work independently and collaboratively within cross-functional teams.</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs150,000.00 per monthWork Location: In person

AI Engineer

Explore 475+ Ai software engineer in Islamabad this December. Find roles across top companies and apply now to boost your career.

475 ai software engineer jobs IN Islamabad

AI Software Engineer

Quality Assurance Engineer

Senior AI Engineer

Quality Assurance Engineer

AI Engineer (Mid-Level)

Lead AI/ML Engineer

AI Engineer