software engineer Jobs in Islamabad Pakistan

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Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description &ndash; AI Engineer (Islamabad Candidates Only)</h1>
Job Title: AI Engineer 
Job Grade: Manager 
Division: Information Technology 
Department: IT Development 
Location: Islamabad (On-site) 
Line Manager: Senior Software Engineer / AI Engineering Lead 
 
Note : Please read the JD carefully before Applying<h2 class="jobSectionHeader"> 
Position Summary</h2>
The AI Engineer will be responsible for designing, developing, and deploying AI-powered applications and intelligent systems that integrate seamlessly with Android, iOS, and web platforms. This role focuses on applied machine learning, automation, and data-driven enhancements to elevate customer experience and operational efficiency. The ideal candidate will possess strong proficiency in mobile development, backend engineering with Python, and web technologies, with the ability to build, test, and scale AI-driven solutions.<h2 class="jobSectionHeader"> 
Duties and Responsibilities</h2><ul><li>
Design, develop, and maintain AI-driven functionalities for mobile (Android/iOS) and web platforms.</li><li>
Collaborate with mobile, backend, UX/UI, product, and data teams to integrate AI modules such as recommendation engines, chatbots, fraud detection, and personalization systems.</li><li>
Develop machine learning models, perform data preprocessing, and deploy models using Python frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>
Write modular, maintainable, and scalable code using industry best practices (SOLID, Clean Architecture).</li><li>
Build APIs and microservices for AI features using Flask/FastAPI or Node.js.</li><li>
Work closely with UX/UI and product counterparts to translate data insights into intelligent user experiences.</li><li>
Conduct A/B tests, performance optimization, and real-world validation of AI models.</li><li>
Integrate AI components with cloud platforms such as AWS, GCP, or Azure, ensuring compliance with security and governance standards.</li><li>
Participate actively in code reviews, knowledge-sharing sessions, and agile ceremonies.</li><li>
Stay updated with emerging AI, ML, and GenAI tools, recommending innovative solutions for Easypaisa&rsquo;s digital products.</li><li>
Demonstrate Behaviors&mdash;Be Respectful, Keep Promises, Always Explore, Create Together&mdash;across all work activities.</li></ul><h2 class="jobSectionHeader"> 
Knowledge and Experience</h2><h3 class="jobSectionHeader">
Education:</h3><ul><li>
BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</li></ul><h3 class="jobSectionHeader">
Experience:</h3><ul><li>
Minimum 4+ years in software development with hands-on exposure to AI/ML projects.</li><li>
Proven experience with Android/iOS development, Python, and modern web technologies</li></ul><h2 class="jobSectionHeader"> 
Behavioral Skills:</h2><ul><li>
Effective Communication</li><li>
Teamwork &amp; Collaboration</li><li>
Decision Making</li><li>
Accountability</li><li>
Learning Agility</li><li>
Analytical Problem Solving</li><li>
Innovation &amp; Creativity</li></ul><h2 class="jobSectionHeader"> 
Technical Competencies:</h2><ul><li>
AI/ML Development: Flowise, PyTorch, OpenAI APIs, N8N</li><li>
Programming: Python, Swift, Kotlin, JavaScript/TypeScript</li><li>
Cloud &amp; DevOps: AWS/GCP, Docker, CI/CD</li><li>
Version Control: Git</li><li>
Data Engineering: Pandas, NumPy, SQL, data pipeline development</li><li>
Mobile &amp; Web Development: Android Studio, Xcode, React/Next.js, Flutter (optional)</li><li>
Backend &amp; APIs: REST, GraphQL, Flask/FastAPI, Node.js</li><li>
Security &amp; Compliance: Secure coding, data privacy frameworks</li></ul>
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AI Engineer

ZZ-Technologies, islamabad

About the RoleWe are seeking a Drone AI Engineer to lead the development of intelligent, autonomous capabilities for our next-generation UAV platforms. In this role, you will design, train, and deploy advanced computer vision, navigation, and decision-making algorithms that enable drones to perceive their environment, understand context, and operate safely and efficiently in dynamic real-world conditions.Key Responsibilities<ul><li>Develop and optimize AI/ML models for onboard perception, including object detection, tracking, semantic segmentation, and sensor fusion.</li><li>Build autonomous navigation systems using SLAM, path planning, and obstacle-avoidance algorithms.</li><li>Implement and test real-time inference pipelines on embedded hardware (GPU/SoC/Edge AI platforms).</li><li>Integrate AI modules into flight-control and mission-planning systems in collaboration with robotics and firmware teams.</li><li>Conduct simulation-based testing and field-testing to validate system reliability and performance.</li><li>Analyze flight data to improve model robustness, accuracy, and safety.</li><li>Stay current with advancements in AI, robotics, avionics, and drone regulatory frameworks.</li></ul>QualificationsRequired:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Robotics, Electrical Engineering, AI/ML, or related field.</li><li>Strong experience with deep learning frameworks (PyTorch, TensorFlow) and classical computer vision.</li><li>Hands-on experience with autonomous robotics or UAV systems.</li><li>Proficiency in Python and C++ for high-performance, real-time applications.</li><li>Experience with ROS/ROS2, Gazebo, or similar robotics simulation environments.</li><li>Familiarity with SLAM, sensor fusion (e.g., LiDAR, RGB, thermal, IMU), and reinforcement learning.</li></ul>Preferred:<ul><li>Experience deploying AI models on embedded platforms (NVIDIA Jetson, Qualcomm RB5, etc.).</li><li>Knowledge of flight-control systems, PX4/ArduPilot, or custom autopilot stacks.</li><li>Background in edge optimization (TensorRT, ONNX, quantization, pruning).</li><li>Experience with cloud-based fleet management or drone-data pipelines.</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs300,000.00 per monthWork Location: In person

Drone AI Engineer

PointofIT

We are looking for an experienced NLP focused AI Engineer to help us unlock insights from clinical notes, care plans, and patient documentation. The resource will work with transformer models and rule based techniques to enable AI driven personalized care, behavioral analysis, and nonadherence detection.Responsibilities<ul><li>Build NLP pipelines to extract symptoms, conditions, behaviors, and clinical context from Rx Referals</li><li>Build time-series models, survival analysis pipelines, and risk-scoring frameworks for transplant outcomes.</li><li>Implement algorithms to detect early signs of chronic rejection (e.g., BOS/CLAD stages)</li><li>Clean, preprocess, and engineer features from irregular, noisy clinical datasets.</li><li>Validate models using clinically meaningful metrics and ensure interpretability for medical decision support.</li><li>Experience working with lung transplant clinical registries i.e ISHLT Registry, UNOS / OPTN,ELTR,CIBMTR</li><li>Familiarity with pulmonary disease and spirometry registries i.e NHANES, COPDGene</li><li>Fine tune and deploy models like ClinicalBERT, BioBERT, or BlueBERT</li><li>Implement sectionizers, negation detection, and temporal classifiers using tools like MedSpaCy</li><li>Contribute to hybrid models that combine unstructured and structured patient data</li><li>Support generation of personalized care interventions</li><li>Collaborate with ML engineers, clinical analysts, and developers</li><li>Ensure compliance with healthcare standards (HIPAA)</li></ul>Required Skills<ul><li>3+ years of NLP/ML experience</li><li>Hands on experience with transformers and fine tuning pretrained models</li><li>Strong programming background in Python</li><li>Experience working with PyTorch/TensorFlow</li><li>Experience working with libraries like spaCy and Hugging Face Transformers</li><li>Understanding of context detection, classification, and named entity recognition</li><li>Deployment experience in Azure, AWS or GCP</li></ul>Nice To Have Skills<ul><li>Experience with healthcare chatbots</li><li>Prompt engineering or experience working with LLMs</li><li>Knowledge of early warning scores and risk stratification</li><li>Familiarity with clinical terminology and standards like ICD-10</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs250,000.00 per monthApplication Question(s):<ul><li>Do you have 3+ years of hands-on experience in NLP/ML, including working with transformers and fine-tuning pretrained models?</li><li>Are you proficient in Python, with experience using frameworks like PyTorch/TensorFlow and libraries such as spaCy or Hugging Face Transformers?</li><li>Do you have experience deploying ML/NLP models on cloud platforms such as Azure, AWS, or GCP?</li></ul>Work Location: In person

AI Engineer (HealthCare)

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

Senior AI Engineer

Creativelogicx

We are seeking an experienced developer to build and integrate AI-powered voice agents using Twilio, Vapi. The ideal candidate should have strong knowledge of conversational AI workflows, call routing, and API integrations.*Responsibilities:** Build and optimize AI-based voice agent workflows* Integrate Twilio Voice, Studio, and Programmable APIs* Connect voice agents with CRM systems (e.g., GHL, HubSpot, etc.)* Handle call flows, scheduling, and real-time data updates* Troubleshoot call quality, routing, and automation issues*Requirements:** Strong experience with *Vapi AI Voice Agent** Hands-on experience with *AI voice assistants* (GPT, VAPI, or similar)* Solid understanding of APIs, webhooks, and backend development* Ability to work independently and deliver fast, reliable solutionsJob Type: Full-timeWork Location: In person

AI Engineer (Vapi AI Voice)

Provox Global Solutions

Key ResponsibilitiesAI Development &amp; Dialogflow / CCAI<ul><li>Design, develop, and maintain advanced conversational agents using Dialogflow CX / ES and CCAI.</li><li>Build and optimize structured and AI-enabled playbooks for natural, efficient customer interactions.</li><li>Tune and train bots to minimize no-match phrases, dead ends, and AI &ldquo;hallucinations.&rdquo;</li><li>Implement Vertex AI and Gemini API integrations to enhance conversational intelligence.</li><li>Collaborate with QA and call center teams to continuously improve virtual agent performance and customer experience.</li></ul>Backend &amp; Integration<ul><li>Develop scalable backend services using Node.js, APIs (Fetch), and SQL / JSON.</li><li>Manage shared global variables and objects in high-concurrency applications.</li><li>Implement secure authentication mechanisms (JWT / OAuth).</li><li>Integrate with third-party systems such as Dentrix, EzText, and PhoneNumLookup.</li><li>Configure and maintain MySQL databases and reporting tools (e.g., Looker).</li></ul>DevOps &amp; Cloud Management<ul><li>Configure and manage GCP environments, environment variables, and migration controls.</li><li>Set up and maintain CI/CD pipelines using GitHub and Visual Studio.</li><li>Monitor cloud performance, handle errors and alerts, and optimize deployment processes.Support modularized code structure for multi-developer environments.</li></ul>Testing &amp; Continuous Improvement<ul><li>Conduct regression, load, and stress testing (OLS Web Test Automation).</li><li>Implement voice and backend test automation using phone dialing appliances and recordings.</li><li>Monitor system logs, defects, and integrations to drive ongoing improvement.</li><li>Support audits, debugging, and defect resolution.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field.</li><li>5+ years of experience in software development, preferably within SaaS / AI / cloud-based environments.</li><li>Expertise in Dialogflow / CCAI, GCP, Node.js, SQL, and JavaScript.</li></ul>Job Type: Full-timeExperience:<ul><li>Dialogflow: 2 years (Required)</li><li>Node.js: 2 years (Required)</li></ul>Work Location: In person

AI Developer/Engineer

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

Explore 223+ Ai engineer in Islamabad Pakistan this December. Find roles across top companies and apply now to boost your career.