software engineer

civil engineer

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junior engineer

qa engineer

ai engineer

KRANK

About Krank: 
We are a technology-driven SaaS company building products for the heavy equipment and industrial sector. Our ecosystem includes:
 
<ul>
<li>Web-based marketplace and workflow platforms</li>
<li>React Native mobile applications for iOS and Android</li>
<li>Smart glasses–based workflows for remote inspections</li>
<li>AWS-hosted backend services built using Node.js</li>
</ul>
We work at the intersection of engineering, product design, and modern cloud technologies to deliver efficient, reliable, and real-world solutions for industrial operations. Our culture is highly collaborative, product-focused, and centered on building meaningful tools that improve field workflows, inspections, and equipment management at scale.
 
About Inspeq: 
Inspeq is a SaaS platform for inspections, asset management, and work orders. It’s designed for heavy equipment rental, mining, and construction companies, enabling them to manage operations more efficiently with modular, configurable workflows and AI-powered features like Remote Workorders (live remote guidance) and AI Discrepancy Reports.
 
Role Overview: 
We are looking for an AI Engineer to design, build, and deploy AI-powered features across our products. You will work on real-world applications of machine learning and generative AI, turning data and models into production-ready systems used by customers in operational and industrial environments.
 
This is a hands-on role sitting between engineering and product — less research, more building.
 
Key Responsibilities: 
<ul>
<li>Design and implement AI/ML solutions for real product use cases</li>
<li>Build and integrate LLM-based features (chat, extraction, summarisation, classification, etc.)</li>
<li>Work with APIs such as OpenAI, Anthropic, or open-source models</li>
<li>Develop pipelines for data ingestion, preprocessing, and model inference</li>
<li>Fine-tune and evaluate models where required</li>
<li>Implement prompt engineering, RAG (Retrieval Augmented Generation), and embeddings</li>
<li>Deploy models and AI services to production (AWS/Azure)</li>
<li>Monitor performance, cost, latency, and quality of AI systems</li>
<li>Collaborate with product, backend, and frontend teams to ship features end-to-end</li>
</ul>
Core Requirements: 
<ul>
<li>3+ years experience in software engineering or ML/AI roles</li>
<li>Strong engineering fundamentals (system design, APIs, data handling)</li>
<li>Experience with ML frameworks</li>
<li>Practical experience with LLMs and generative AI</li>
<li>Experience working with structured and unstructured data</li>
<li>Familiar with vector databases</li>
<li>Comfortable deploying services in cloud environments</li>
</ul>
Nice to Have: 
<ul>
<li>Experience with Ai Application framworks</li>
<li>Experience building AI features in SaaS products</li>
<li>Knowledge of speech-to-text, vision models, or OCR</li>
<li>Experience with MLOps (model versioning, monitoring, CI/CD)</li>
<li>Understanding of security, privacy, and compliance for AI systems</li>
<li>Experience building AI for operational, industrial, or enterprise workflows is a strong plus</li>
</ul>
What This Role Is (and Isn’t): 
This role is: 
<ul>
<li>Product-focused</li>
<li>Engineering-heavy</li>
<li>About shipping AI into real systems</li>
</ul>
This role is not: 
<ul>
<li>Pure academic research</li>
<li>Kaggle competitions</li>
<li>Training giant models from scratch</li>
</ul>
Example Use Cases They’ll Work On: 
<ul>
<li>AI-powered data extraction from inspection reports, forms, images, or voice</li>
<li>Intelligent assistants for field engineers and operations teams</li>
<li>Automated reporting and asset insights</li>
<li>Anomaly detection across inspections and work orders</li>
<li>Workflow automation for industrial processes</li>
</ul>
Ideal Profile: 
Someone who: 
<ul>
<li>Can actually build things, not just talk about models</li>
<li>Understands trade-offs between accuracy, cost, and latency</li>
<li>Is excited by messy real-world operational data</li>
<li>Thinks in systems, not just notebooks</li>
<li>Treats AI as a product capability, not a science experiment</li>
</ul>

AI Engineer

Jerrax

We are seeking a skilled and motivated AI Engineer with at least 2 years of hands-on experience to design, develop, and deploy AI-driven solutions. The ideal candidate should have strong knowledge of machine learning, data processing, and model deployment, along with a passion for solving real-world problems using AI technologies.Key Responsibilities:<ul><li>Design, develop, and implement AI/ML models for business applications</li><li>Train, test, and optimize machine learning and deep learning models</li><li>Work with large datasets to extract insights and improve model accuracy</li><li>Integrate AI models into existing systems and applications</li><li>Monitor model performance and continuously improve results</li><li>Collaborate with software engineers, data scientists, and product teams</li></ul>Required Skills &amp; Qualifications:<ul><li>Minimum 2 years of experience as an AI Engineer or similar role</li><li>Strong proficiency in Python and AI/ML libraries (TensorFlow, PyTorch, Scikit-learn)</li><li>Experience with data preprocessing, feature engineering, and model evaluation</li><li>Understanding of NLP, computer vision, or recommendation systems (preferred)</li><li>Familiarity with REST APIs, model deployment, and cloud platforms (AWS, GCP, or Azure)</li><li>Strong problem-solving and analytical skills</li></ul>Preferred Qualifications:<ul><li>Experience with MLOps tools and CI/CD pipelines</li><li>Knowledge of big data tools (Spark, Hadoop)</li><li>Background in statistics, mathematics, or computer science</li></ul>What We Offer:<ul><li>Competitive salary and benefits</li><li>Opportunity to work on innovative AI projects</li><li>Collaborative and growth-oriented work environment</li></ul>Job Type: Full-timePay: Rs70,000.00 - Rs100,000.00 per monthWork Location: Hybrid remote in Lahore

Ai Engineer

Python Technologies

Location: Onsite at DHA 2, ISLAMABAD Experience Required: Minimum 1 year Employment Type: Full-timeJob Description: We are looking for a skilled and proactive AI Engineer with at least 1 year of hands-on experience to join our growing team. The ideal candidate has practical experience building AI-driven solutions, strong exposure to LLMs and chatbots, and can communicate confidently in English while working in a fast-paced, startup-style environment.Key Responsibilities:<ul><li>Design, develop, and deploy AI/ML solutions for real-world applications</li><li>Build and optimize LLM-based systems, chatbots, and AI automation workflows</li><li>Work with structured and unstructured datasets to train and improve models</li><li>Integrate AI models with backend systems, APIs, and cloud infrastructure</li><li>Collaborate closely with product, engineering, and business teams</li><li>Communicate technical concepts clearly in English during meetings and documentation</li><li>Stay updated with the latest AI tools, frameworks, and best practices</li></ul>Required Skills &amp; Qualifications:<ul><li>Minimum 1 year of experience as an AI Engineer or similar role</li><li>Strong understanding of machine learning, deep learning, and NLP fundamentals</li><li>Hands-on experience with LLMs, chatbots, or AI automation tools</li><li>Proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow, scikit-learn, etc.)</li><li>Familiarity with cloud platforms such as AWS, GCP, or Azure</li><li>Experience working in startup or fast-paced environments</li><li>Ability to integrate AI models into production systems via APIs</li><li>Excellent English communication skills (written and spoken)</li></ul>What We Offer:<ul><li>Work on cutting-edge AI and LLM-based products</li><li>Flexible and growth-oriented work culture</li><li>Opportunity to make real impact in a fast-moving team</li><li>Competitive compensation based on experience</li></ul>Job Type: Full-timePay: Rs100,000.00 per monthApplication Question(s):<ul><li>Are you willing to work in onsite settings at DHA 2, Islamabad. Our office hours are from 6 pm to 2 am.</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

MeshSquare

We are seeking a skilled AI Engineer to design, develop, and deploy AI-driven solutions that solvereal business problems. The ideal candidate will work closely with software engineers, productmanagers, and stakeholders to build scalable, secure, and high-performance AI systems.Key ResponsibilitiesDesign, develop, and deploy AI/ML models for production useWork with structured and unstructured data (text, images, logs, etc.)Implement and fine-tune machine learning, deep learning, and NLP modelsIntegrate AI models into web or mobile applications via APIsOptimize models for performance, accuracy, and scalabilityMonitor model performance and retrain models as neededEnsure data security, privacy, and ethical AI practicesDocument models, workflows, and technical decisionsRequired Skills &amp; QualificationsBachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or related fieldStrong proficiency in PythonHands-on experience with Machine Learning &amp; Deep LearningExperience with frameworks such as TensorFlow, PyTorch, Scikit-learnKnowledge of NLP, Computer Vision, or Generative AI (LLMs)Experience working with APIs and integrating AI into applicationsFamiliarity with databases (SQL/NoSQL)Understanding of model evaluation and performance metricsPreferred / Nice-to-HaveExperience with LLMs (OpenAI, HuggingFace, LangChain, RAG)Experience with MLOps, model deployment, and monitoringCloud experience (AWS, Azure, GCP)Experience in chatbot development or AI automationKnowledge of data pipelines and ETL processesWhat We OfferOpportunity to work on cutting-edge AI solutionsCollaborative and growth-oriented environmentCompetitive compensationLearning and development opportunities Job Rewards and Benefits:1. Paid Leaves2. HR Bonus3. Inflation Bonus4. Promotion5. Increments6. Medical (TBD)7. Employee Equity Funds Program (EEFP)8. Saturday and Sunday Off9. Transportation allowances only for female staff10. Complementary Food (Dinner) &amp; Tea/Green Tea (Two times)Job Type: Full-timePay: Rs100,000.00 - Rs175,000.00 per monthWork Location: In person

Speed Force Digital

Job Title: AI Developer/ Engineer (Flutter &amp; Headless Technologies) Experience: 3 months &ndash; 1 year Location: Wapda Town, Lahore Employment Type: Full-timeJob Summary: Role OverviewWe are seeking a Junior AI Developer to join our innovative and research-driven development team. This role focuses on building websites, mobile applications, and software features using AI-powered development tools rather than traditional coding methods.The ideal candidate will work by prompting AI tools, reviewing generated outputs, iterating on solutions, and deploying production-ready features. This position is ideal for fresh graduates or early-career professionals with a strong interest in AI-driven development.Key Responsibilities<ul><li>Build websites, mobile apps, and software features using AI development tools such as Claude Code, Cursor, and other AI assistants</li><li>Write effective prompts to generate high-quality code and solutions</li><li>Review, test, refine, and iterate AI-generated outputs until quality standards are met</li><li>Deploy finalized features to production environments</li><li>Work on Flutter, web technologies, and multiple tech stacks based on project requirements</li><li>Collaborate with product, design, and QA teams to deliver functional solutions</li><li>Troubleshoot issues by leveraging AI tools and logical problem-solving</li><li>Stay updated with emerging AI tools, platforms, and methodologies</li><li>Participate in experimentation, learning, and R&amp;D initiatives as required</li></ul>Who We&rsquo;re Looking For<ul><li>Fresh CS / IT graduates or self-taught candidates with strong AI interest</li><li>3 months to 1 year of exposure to AI tools or software development</li><li>Fast learners who can prompt, iterate, and solve problems independently</li><li>Strong curiosity and interest in AI-powered development</li><li>Good English communication (written and verbal)</li><li>Reliable, responsible, and quality-focused mindset</li></ul>Job Type: Full-timeWork Location: In person

CodeNinja

About the Company
 CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems. With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs. Recognized among Pakistan’s fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy.
 About the role
 We are looking for an Associate AI Engineer — an early-career, hands-on contributor who supports the development of AI-enabled software systems used in production environments. This role sits at the intersection of software engineering and applied AI, focusing on implementing scoped features, fixing defects, and improving workflows using existing AI capabilities. This is not a research role and not a model-training role; instead, it emphasizes practical AI implementation, reliability, and maintainability under the guidance of senior engineers.
 Key Responsibilities
 <ul>
<li>Implement well-scoped AI-assisted features and supporting services in production codebases under guidance.</li>
<li>Fix defects and improve reliability of AI-enabled components, prompts, and workflow logic.</li>
<li>Integrate AI APIs, LLMs, and orchestration tools into existing applications following established standards.</li>
<li>Write unit and integration tests and maintain documentation for delivered changes.</li>
<li>Use AI tools responsibly for coding assistance, debugging, test generation, and documentation.</li>
<li>Follow team guidance for safe AI usage, including data handling, prompt hygiene, and fallback behaviors.</li>
<li>Contribute small automations and internal tools that improve engineering productivity.</li>
<li>Collaborate with Product, Engineering, and QA teams to deliver assigned work items end-to-end.</li>
<li>Communicate progress, risks, and questions proactively and incorporate feedback quickly.</li>
<li>Participate in code reviews, design discussions (as a learner), and team ceremonies.</li>
<li>Ensure changes meet standards for security, performance, and maintainability.</li>
<li>Add basic observability (logging, metrics) and follow incident and bug-resolution processes.</li>
<li>Build foundational knowledge of applied AI patterns, including prompting basics, orchestration concepts, evaluation methods, and failure modes.</li>
</ul>
Requirements: 
<ul>
<li>Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.</li>
<li>Hands on 1-3 years of experience required</li>
<li>Strong software engineering fundamentals, including debugging, version control, and testing.</li>
<li>Exposure to applied AI in software, such as LLM usage, AI APIs, automation, or orchestration tools.</li>
<li>Ability to deliver small-to-medium scoped tasks reliably with guidance and feedback.</li>
<li>Strong collaboration skills and a willingness to learn in a fast-paced environment.</li>
<li>Familiarity with modern development stacks, cloud fundamentals, and CI/CD is a plus.</li>
<li>Basic understanding of AI output evaluation, including quality checks and regression validation, is preferred.</li>
<li>Experience contributing to SaaS or enterprise software environments is an advantage.</li>
</ul>
Why Join Us
 <ul>
<li>Work on real-world AI-enabled production systems with practical impact.</li>
<li>Learn applied AI best practices focused on reliability, safety, and maintainability.</li>
<li>Collaborate with experienced engineers and grow under strong technical mentorship.</li>
<li>Gain hands-on exposure to LLMs, AI APIs, and modern software delivery practices.</li>
<li>Build a strong foundation for career growth into AI Engineering, Software Engineering, or Platform Engineering roles.</li>
</ul>
Disclaimer
 CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, and performance. Female and minorities are strongly encouraged and preferred to apply for the role.
 
Benefits: 
<ul>
<li>Provident Fund</li>
<li>Gym Membership</li>
<li>Leaves as per the company policy</li>
<li>Company-paid trips</li>
<li>Easy Loan Facility for Employees</li>
<li>Yearly increment</li>
<li>Maternity Benefits (Leaves & WFH)</li>
<li>Health Insurance (Maternity covered) – includes spouse and parents (till age 80)</li>
</ul>

Associate AI Engineer

Softoo

Job DescriptionWe are seeking a highly skilled and experienced Senior AI Engineer to join our innovative team. In this role, you will be at the forefront of developing cutting-edge AI solutions, leveraging your extensive knowledge and hands-on experience with machine learning and generative AI technologies. You will work collaboratively with a team of AI engineers and software developers to design, implement, and optimize AI-driven solutions for a variety of client-centric use cases. If you are passionate about AI and have a track record of success in the field, we want to hear from you.Responsibilities<ul><li>Lead the design, development, and deployment of generative AI based solutions.</li><li>Collaborate with cross-functional teams to identify and implement AI solutions for client projects.</li><li>Develop and maintain scalable AI infrastructure and pipelines.</li><li>Conduct research to stay up-to-date with the latest advancements in AI and machine learning.</li><li>Provide mentorship and guidance to junior AI engineers and team members.</li><li>Optimize solutions for performance, scalability, and efficiency.</li><li>Document methodologies, processes, and results for internal and external stakeholders.</li><li>Engage with clients to understand their needs and provide tailored Generative AI solutions.</li></ul>Experience and Qualifications<ul><li>Minimum of 5 years of experience in software engineering, development and design, with a recent focus on AI, machine learning and specifically Generative AI.</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Software Engineering, IT, Computer Science, or a related field.</li><li>Strong theoretical understanding of AI and machine learning principles.</li><li>Proven practical experience in developing and deploying AI/ML projects.</li><li>Expertise in Generative AI, including LLMs, Transformers, and RAG.</li><li>Hands-on experience with large language models and related tasks such as indexing, retrieval, and agent development.</li><li>Working knowledge of some of the key platforms and enablers in the Generative AI ecosystem such as Microsoft Co-Pilot Studio, OpenAI, Google Gemini and Studio Bot, Ollama, LlamaIndex, and LangChain.</li><li>Excellent problem-solving skills and the ability to devise innovative AI-powered solutions.</li><li>Strong proficiency in programming languages such as Python, Java, Node, with a focus on machine learning frameworks (e.g., TensorFlow, PyTorch, etc.).</li><li>Proficiency in SQL</li><li>Strong collaboration and communication skills to work effectively in a team environment.</li></ul>Good to Have Qualifications<ul><li>Experience with cloud platforms such as AWS, Azure, or Google Cloud.</li><li>Familiarity with containerization technologies like Docker and Kubernetes.</li><li>Knowledge of data engineering and ETL processes.</li><li>Experience in data engineering while devising and implementing AI/ML solutions.</li><li>Experience with reinforcement learning and deep learning frameworks.</li><li>Understanding of ethical AI practices and considerations.</li><li>Prior experience in a client-facing and team management role</li></ul>Job Type: Full-timePay: Rs500,000.00 - Rs600,000.00 per monthExperience:<ul><li>AI Engineering: 5 years (Required)</li></ul>Work Location: On the road

Senior AI Engineer

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