qa engineer

software engineer

software engineer i

automation engineer

civil engineer

ai engineer

Maeme's Limited

We're Hiring: AI EngineerLocation: Islamabad, Pakistan (On-Site)Full-TimeMaeme&rsquo;s Piri Piri, a rapidly growing international food brand, is expanding its technological frontier by integrating intelligent systems into its operations. We're looking for visionary talent to join our Islamabad-based innovation team as AI Engineer. As an AI Engineer, you will design, develop, and deploy AI and machine learning models to build intelligent products and services.Responsibilities:&middot; Design and implement machine learning and deep learning models for various applications (e.g., NLP, computer vision, recommendation systems).&middot; Collaborate with cross-functional teams to gather requirements, design data pipelines, and integrate AI models into products.&middot; Conduct model training, tuning, and evaluation using large-scale datasets.&middot; Optimize models for performance, accuracy, and scalability in real-world environments.&middot; Stay up-to-date with the latest advancements in AI/ML technologies and apply them where relevant.&middot; Support the deployment and monitoring of models in production environments.&middot; Maintain clear documentation and contribute to internal knowledge sharing.Requirements:&middot; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.&middot; Proven experience (2+ years preferred) building and deploying machine learning models in production.&middot; Strong proficiency in Python and popular ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).&middot; Solid understanding of data structures, algorithms, and statistics.&middot; Experience working with large datasets, data preprocessing, and feature engineering.&middot; Familiarity with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes) is a plus.&middot; Excellent problem-solving skills and ability to work in a collaborative environment.&middot; Experience with LLMs (e.g., OpenAI, Hugging Face Transformers).&middot; Knowledge of MLOps practices and tools (e.g., MLflow, Airflow, Kubeflow).&middot; Background in reinforcement learning, generative models, or graph neural networks.Apply now: Send your Resume at&middot; E.mail: hhtechsolution01@gmail.com&middot; WhatsApp: +923174967217&middot; Inbox: www.linkedin.com/in/h-h-tech-solution-09722b321Job Type: Full-timeWork Location: In person

AI Engineer

Ora-Tech Systems

About the RoleWe are seeking a Junior AI Engineer with strong technical expertise in building and deploying AI-driven solutions. The ideal candidate will have hands-on experience in developing end-to-end applications using Large Language Models (LLMs), implementing chatbots, and leveraging state-of-the-art frameworks for enterprise use cases. You will contribute to prompt engineering, fine-tuning, and cloud-based LLM inferencing to deliver scalable AI solutions.Key Responsibilities<ul><li>Develop end-to-end applications powered by Large Language Models (LLMs)</li><li>Build and deploy chatbots for enterprise-focused use cases</li><li>Apply prompt engineering techniques to optimize model responses</li><li>Fine-tune LLMs on domain-specific datasets</li><li>Integrate AI models with APIs and external enterprise systems</li><li>Design data preprocessing pipelines for training and inference</li><li>Conduct evaluation, benchmarking, and performance optimization of models</li><li>Contribute to workflow automation using AI-driven solutions</li></ul>Technical Skills &amp; Tools<ul><li>Proficiency in Python, Vector databases and modern AI/ML libraries</li><li>Hands-on experience with Hugging Face, LangChain, LangGraph, LlamaIndex</li><li>Experience with cloud-based LLM inferencing</li><li>Understanding of machine learning pipelines, APIs, and system integration</li><li>Familiarity with LLMOps practices</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, Data Science, or Artificial Intelligence</li><li>2+ years of experience in AI/ML development, with a focus on LLMs and chatbot applications</li><li>Strong problem-solving skills and ability to translate business needs into AI-driven solutions</li><li>Passion for staying up to date with the latest advancements in Generative AI and LLM technologies</li></ul>Job Type: ContractWork Location: In person

Junior AI Engineer

Cloudelligent

<div>Position Title: Sr. AWS AI 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 Sr. AWS AI Engineer at Cloudelligent, you will drive the development of innovative artificial intelligence solutions. This role emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services. The ideal candidate will possess a strong foundation in both machine learning and deep learning. Additionally, this role will lead and manage a team of AI engineers, guiding their growth and ensuring the successful delivery of AI-driven solutions. 
 
Responsibilities:<ul><li>
Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.</li><li>
Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.</li><li>
Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis.</li><li>
Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.</li><li>
Apply techniques to reduce AI hallucination and enhance model reliability.</li><li>
Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.</li><li>
Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.</li><li>
Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.</li><li>
Engage in prompt engineering to enhance model interaction and output quality.</li><li>
Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.</li></ul>
Requirements:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.</li><li>
5+ years of hands-on experience in AI/ML development with a strong focus on AWS-based AI services.
</li><li>Advanced proficiency in Python and expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.</li><li>
Extensive experience with AWS AI services, including Amazon SageMaker, AWS Bedrock, and integrating Azure OpenAI into cloud-based solutions.</li><li>
In-depth knowledge of AWS data services, including Amazon Athena, Amazon Redshift, AWS Glue, and their application in AI/ML pipelines.</li><li>
Expertise in Agentic Behavior in AI and deploying models using technologies like CrewAI, LangGraph, and Langchain.</li><li>
Experience with vector databases and similarity search techniques for scalable AI solutions.</li><li>
Understanding of AI/ML algorithms and architectures, including CNNs, RNNs, transformers, and experience building end-to-end solutions.</li><li>
Expertise in data preprocessing, feature engineering, and model evaluation at scale.</li><li>
Demonstrated ability to lead AI/ML projects and communicate complex ideas effectively to both technical and non-technical stakeholders.</li></ul>
Good to Have:<ul><li>
Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.</li><li>
Knowledge of big data technologies such as Apache Spark or Hadoop.</li><li>
Familiarity with data visualization tools and techniques.</li></ul>
Highly Desirable:<ul><li>
Relevant certifications (e.g., AWS Certified Machine Learning &ndash; Specialty, AWS Certified AI Practitioner).</li></ul> 

2h4VJLw2ob</div>

Sr. AWS AI Engineer

We're Hiring: AGI AgentsPosition: Senior Agentic AI Engineer (AGI Agents)Location: Islamabad, Pakistan (On-Site)Full-TimeMaeme&rsquo;s Piri Piri, a rapidly growing international food brand, is expanding its technological frontier by integrating intelligent systems into its operations. We're looking for visionary talent to join our Islamabad-based innovation team as Senior Agentic AI Engineers, helping us develop and deploy cutting-edge AGI agents across a variety of business functions&mdash;from automation and customer interaction to intelligent decision-making.As a Senior Agentic AI Engineer, you&rsquo;ll lead the design, development, deployment, and optimization of autonomous AI agents (AGI-level systems) capable of reasoning, planning, and executing complex tasks with minimal human intervention.Key Responsibilities:Own and ship production AI agents that run our operations, marketing, and customer care. You&rsquo;ll design planner&rarr;executor agents with tool use, long-term memory, human-in-the-loop approvals, and strict guardrails.<ul><li>Build agents that read POS/Delivery data, trigger alerts, draft POs, optimise ads, and resolve complaints within caps.</li></ul><ul><li>Design RAG over SOPs/allergens; implement tool schemas &amp; memory stores.</li></ul><ul><li>Ship APIs/services with logging, metrics, audit trails, and GDPR compliance.</li></ul>Requirements:Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.<ul><li>Python (expert), TypeScript/Node (strong), SQL (proficient), Docker.</li></ul><ul><li>LangGraph/LangChain, vector DBs (Pinecone/Weaviate/FAISS), OpenAI/Anthropic APIs.</li></ul><ul><li>Postgres, Redis/queues, AWS/GCP basics, OAuth2/RBAC, Secrets Manager.</li></ul><ul><li>Shipped at least one agentic system in production with approvals &amp; caps.</li></ul>Apply now: Send your Resume at&middot; E.mail: hhtechsolution01@gmail.com&middot; WhatsApp: +923174967217&middot; Inbox: www.linkedin.com/in/h-h-tech-solution-09722b321Job Type: Full-timeWork Location: In person

Senior Agentic AI Engineer (AGI Agents)

LMKR

<div>
 
 
 Job Summary:
 
 
 
 The AI Engineer will play a key role in designing, developing, and deploying intelligent applications powered
 
 
 by Large Language Models (LLMs) and vector databases. This role emphasizes hands-on experience with
 
 
 AI/ML frameworks, backend integration, and cloud-native services, while also providing opportunities to
 
 
 work on innovative projects that deliver measurable business impact. The candidate should have a strong
 
 
 foundation in AI systems, programming, and cloud platforms, with the ability to translate business
 
 
 requirements into scalable AI solutions.
 
 
 
 
 
 
 Job Responsibilities:
 
 
 
 &bull; Design, develop, and deploy AI applications using models such as OpenAI, Azure OpenAI, AWS
 
 
 Bedrock, or Anthropic Claude.
 
 
 &bull; Integrate AI solutions into enterprise systems via REST APIs and cloud-native services.
 
 
 &bull; Implement and manage vector databases (e.g., Pinecone, Weaviate, Redis, Azure Cognitive Search)
 
 
 for semantic search and retrieval-augmented generation (RAG).
 
 
 &bull; Develop scalable backend services using Python or Node.js.
 
 
 &bull; Collaborate with cross-functional teams to identify business needs and translate them into AI driven solutions.
 
 
 &bull; Optimize model performance, latency, and costs across Azure and AWS environments.
 
 
 &bull; Research and recommend new AI/ML tools, frameworks, and methodologies to strengthen
 
 
 organizational capabilities.
 
 
 
 
 
 
 Required Skills:
 
 
 
 &bull; Strong understanding of LLMs and their integration into enterprise workflows.
 
 
 &bull; Hands-on experience with OpenAI / Azure OpenAI, AWS Bedrock, or Anthropic Claude.
 
 
 &bull; Proficiency in Python and/or Node.js for backend development.
 
 
 &bull; Solid understanding of REST API design and integration.
 
 
 &bull; Practical exposure to Azure and/or AWS cloud platforms.
 
 
 &bull; Working knowledge of vector databases for AI applications.
 
 
 
 
 
 
 Experience:
 
 
 
 &bull; 0 to 1 year of experience
 
 
 
 
 
 
 Education/Qualification:
 
 
 
 &bull; Minimum: Bachelors in CS/DS/AI
 
 
 &bull; Preferred: Master&rsquo;s in CS/DS/AI
 
 
 
 
 
 
 Location:
 
 
 
 &bull; Islamabad
 
</div>

Associate AI/ML Engineer

Rapid Labs

Senior Machine Learrning EngineerRapid Labs is a dynamic leader in the AI revolution, dedicated to crafting groundbreaking solutions that redefine industries such as Retail, Healthcare, Legal, and Finance. With expertise in technologies like Computer Vision, Natural Language Processing, and AI-powered Chatbots, we aim to elevate user experiences and streamline business operations. Join us on our mission to leverage artificial intelligence for impactful change and a better tomorrow!Job Overview:We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our team during the night shift. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and systems that will enhance our product offerings. This role requires a deep understanding of machine learning algorithms, data processing techniques, agentic-ai and software development.Key Responsibilities:<ul><li>Lead the design and implementation of machine learning models and algorithms.</li><li>Collaborate with data scientists, engineers, and product managers to integrate models into production systems.</li><li>Optimize and scale machine learning models for performance and reliability.</li><li>Conduct data analysis, preprocessing, and feature engineering to support model development.</li><li>Stay up-to-date with the latest research and advancements in machine learning and AI.</li><li>Mentor junior engineers and contribute to the overall growth of the ML team.</li><li>Work during night hours to support global teams and ensure timely delivery of projects.</li></ul>Required Skills &amp; Qualifications:<ul><li>Education: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Mathematics, or a related field.</li><li>Experience: Minimum of 5 years of experience in machine learning, data science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python</li><li>Strong knowledge of machine learning frameworks</li><li>Experience with cloud platforms such as AWS, GCP, or Azure.</li><li>Hands-on experience on agentic frameworks such as LangChain, LangGraph, and MCP servers.</li><li>LLM and Agentic Applications evaluation techniques and stacks</li><li>Solid understanding of data structures, algorithms, and software engineering principles.</li><li>Expertise in model deployment and monitoring.</li></ul>Soft Skills: Strong problem-solving and analytical skills.<ul><li>Excellent communication and teamwork abilities.</li><li>Ability to work independently with minimal supervision.</li><li>Adaptability to night shift working hours.</li></ul>Salary &amp; Benefits<ul><li>Competitive salary and fringe benefits.</li><li>Paid Time off</li><li>Leaves encashment</li><li>EOBI</li><li>Company-sponsored courses for continuous learning and career growth</li><li>Professional Development</li><li>Career Advancement</li><li>Team Building Activities</li><li>Innovative Work Environment</li><li>Work-Life Balance</li><li>Company trips</li><li>Wellness Programs</li><li>Performance based promotion</li></ul>Location: Blue Area IslamabadOffice Hours: 05:00 PM to 02:00 AM (Monday to Friday) &ndash; US ShiftJob Type: Full-timeApplication Question(s):<ul><li>How many years of full-time professional experience do you have working as an AI/ML Engineer?</li><li>What is your current salary?</li><li>What is your expected salary?</li><li>How many days of notice period are you required to serve with your current employer?</li><li>Do you have hands-on experience deploying AI/ML models into production environments?</li><li>Have you used containerization or orchestration tools (e.g., Docker, Kubernetes) for ML model deployment?</li><li>Do you have experience deploying models on cloud platforms such as AWS, Azure, or GCP?</li><li>Have you managed the end-to-end lifecycle of an ML model (training, deployment, monitoring)?</li><li>Do you have experience with CI/CD pipelines for ML model deployment?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Language:<ul><li>English fluently (Preferred)</li></ul>Location:<ul><li>Islamabad (Preferred)</li></ul>Work Location: In person

Senior AI/ML Engineer

IKONIC

<div>
 
 Position Title:
 
 AI ML Engineer
 
 
 
 Timings:
 
 4:00 pm - 1:00 am
 
 
 
 Department:
 
 Software Engineering
 
 
 
 Location:
 
 Ikonic, Plot # 176, Korang Road, near Rahat Bakers, I-10/3, Islamabad
 
 
 
 About Us:
 
 
 
 IKONIC is a US-based IT company headquartered in Miami, Florida, serving clients globally for over 9 years. Were known for building scalable digital solutions and high-performing product teams. Innovation, ownership, and outcomes are core to how we work.
 
 
 
 Position Purpose:
 
 
 
 We are seeking a highly skilled and motivated AI/ML Engineer with over 3 years of experience to join our dynamic team. The ideal candidate will have a deep understanding of machine learning algorithms, a strong background in Python programming, and a passion for developing cutting-edge AI solutions. In this role, you will lead the design, development, and deployment of machine learning models and contribute to our overall AI strategy.
 
 
 
 Education &amp; Professional Qualification:
 
 
 
 <ul>
 <li>
 Bachelor or equivalent degree from a reputed educational institute, preferably in computer programming, computer science, or a related field.
 </li>
 <li>
 Certification(s): Not mandatory, but certification in a relevant field is a plus.
 
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 Minimum 3 years of experience in AI/ML engineering with a proven portfolio of relevant projects.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Utilize Python and its machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn) to design, develop, and deploy machine learning models tailored to specific business needs.
 </li>
 <li>
 Continuously improve and optimize machine learning algorithms to enhance the accuracy and performance of predictive models.
 </li>
 <li>
 Employ data manipulation and analysis tools such as Pandas and NumPy to clean, transform, and analyze large datasets.
 </li>
 <li>
 Ensure data integrity and quality throughout the entire data pipeline, from collection to processing and analysis.
 </li>
 <li>
 Apply a strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques to analyze complex data sets.
 </li>
 <li>
 Perform exploratory data analysis to identify trends, patterns, and insights that can drive decision-making and strategy.
 </li>
 <li>
 Work with cloud platforms (e.g., AWS, GCP, Azure) to deploy machine learning models and manage computational resources efficiently.
 </li>
 <li>
 Utilize containerization technologies such as Docker to create scalable and reproducible environments for model development and deployment.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Model Development: Design, develop, and optimize machine learning models and algorithms tailored to business needs, utilizing Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
 </li>
 <li>
 Data Analysis: Analyze complex datasets to extract meaningful insights and identify patterns that drive decision-making.
 </li>
 <li>
 Algorithm Implementation: Implement and validate machine learning algorithms and statistical methods, ensuring robustness and scalability.
 </li>
 <li>
 Code Optimization: Write clean, efficient, and maintainable code while adhering to best practices in software engineering.
 </li>
 <li>
 Collaboration: Work closely with cross-functional teams including data scientists, engineers, and product managers to integrate machine learning solutions into products and systems.
 </li>
 <li>
 Research and Innovation: Stay updated with the latest advancements in AI/ML technologies and techniques, and contribute to research and innovation within the team.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior engineers, fostering a collaborative and knowledge-sharing environment.
 </li>
 <li>
 Deployment: Manage the deployment and monitoring of machine learning models in production environments, ensuring high performance and reliability.
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 EOBI
 </li>
 <li>
 Provident Fund
 </li>
 <li>
 Medical Health Insurance
 </li>
 <li>
 Annual Leaves
 </li>
 <li>
 Casual leaves
 </li>
 <li>
 Sick Leaves
 </li>
 <li>
 Bereavement Leaves
 </li>
 <li>
 Marriage Leaves
 </li>
 <li>
 Paternity Leaves
 </li>
 <li>
 Maternity Leaves
 </li>
 <li>
 Recreational area for in-house games
 
 
 
 </li>
 </ul>
 
 Why Should You Join IKONIC?
 
 
 
 At IKONIC, we believe in providing development opportunities to all its employees which is why our job comes with a variety of challenging assessments meant to catapult your career to the next level. This is made evident with our offerings such as:
 
 
 <ul>
 <li>
 A growth mindset through the help of experienced and helpful Mentors. Ikonic is made up of passionate individuals who aim to support each other in their training as well as day-to-day tasks.
 </li>
 <li>
 A Dynamic Environment where we focus on encouraging initiatives, promoting agility and creating a work/life balance. We know the value you bring in and we aim to nurture it.
 </li>
 <li>
 Market Competitive Compensation based upon your professional qualifications and skill set.
 </li>
 <li>
 As an Equal employment opportunity provider. All employment associated decisions are based on an individual's merit.
 
 
 
 </li>
 </ul>
 
 Note: Above goals and job descriptions are indicative and subject to change.
 
</div>

AI ML Engineer

Explore 162+ Ai engineer in Islamabad this September. Find roles across top companies and apply now to boost your career.