applications engineer

Hope Global School

<div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div>A Software Engineer designs, builds, tests, and deploys high-performance digital products across web platforms, mobile applications, SaaS solutions, AI-driven systems, and emerging technologies. They architect scalable systems, integrate intelligent frameworks, and collaborate with cross-functional teams to deliver secure, innovative, and production-ready software that powers modern digital businesses globally.</div>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Design and build scalable web, mobile, and SaaS applications.</li>
<li>Develop AI-powered features using machine learning models and APIs.</li>
<li>Write clean, efficient, and well-documented production-grade source code.</li>
<li>Collaborate with product, design, and QA teams on delivery.</li>
<li>Integrate third-party services, cloud infrastructure, and data pipelines.</li>
<li>Automate CI/CD pipelines for faster and reliable software deployment.</li>
<li>Conduct peer code reviews to maintain high engineering standards.</li>
<li>Monitor, debug, and optimize application performance in production environments.</li>
</ul><h3 class="jobSectionHeader"><b>Skill &amp; Experience</b></h3>
<ul><li>Proficiency in full-stack frameworks such as React, Node.js, Python.</li>
<li>Hands-on experience with cloud platforms including AWS, GCP, Azure.</li>
<li>Knowledge of AI/ML frameworks like TensorFlow, PyTorch, and LangChain.</li>
<li>Strong DevOps skills including Docker, Kubernetes, and Terraform tools.</li>
<li>Expertise in SQL, NoSQL databases, and version control systems.</li>
<li>Strong problem-solving, communication, and cross-functional team collaboration skills.</li>
</ul>
<p><b>Note</b>: Salary depends on experience and skills and is paid in local currency.</p></div>
<br><div></div><div><ul><li><div><div>Date Posted</div>
<div>March 19, 2026</div>
</div></li><div></div><li><div><div>Location</div>
<div><div>Manchester, Karachi, Dubai
</div></div></div></li><div></div><li><div><div>Offered Salary:</div>
<div>1350000 - 1680000 / year</div>
</div></li><div></div><li><div><div>Expiration date</div>
<div>October 23, 2028
</div></div></li><div></div><li><div><div>Experience</div>
<div>2 Year
</div></div></li><div></div><li><div><div>Gender</div>
<div>Both
</div></div></li><div></div><li><div><div>Qualification</div>
<div>Bachelor Degree</div></div></li></ul></div>

Software Engineering

Mashreq

<div>
 Data &amp; Analytics Driven Organization: One Data and Finance Reporting Function drive the vision to transform the Bank into a Data Driven Organization (DDO) using latest tools and technologies in Data space. RBG Data team is a stream within One Data Organization driving this agenda for Retail Banking function.
 <br/>
 - Principal Data Engineer/Lead Data Engineer will design and maintain data pipelines of real-time and batch, creates data strategy, data architecture, best practices and who can lead the organization in making strategical improvements in the data engineering solutions.
 <br/>
 - This role requires to have a knowledge of core system, retail banking systems, digital journeys, marketing systems, risk and compliance systems which are very data intensive systems across UAE, Egypt, Pakistan etc where bank operates retail business.
 <br/>
 - Our core function spans multiple platforms like Enterprise Data Lake, Azure Data Lake, Business Intelligence, Advanced Analytics and Realtime Streaming platforms.
 <br/>
 - The work involves developing new requirements in both on-premises and cloud data lake&rsquo;s estimating the efforts, designing an effective solution, data architecture and management, change release management, resource management, handling the deliverables across the business groups in the Bank. Also, handling critical applications that influence bank&rsquo;s management decision making process, regulatory reporting (which can influence financial/non-financial penalties) and operational reporting.
</div>


AVP - Technology - Data Engineer.MGN Pak - TECH - Data Management.MIT

Qureos

<p><strong>AI Engineer</strong><br /><br /><strong>Company:** Qureos</strong><br /><strong>Location:** Karachi, Pakistan</strong><br /><strong>Employment Type:** Full-Time</strong><br /><br /><strong>About Qureos</strong><br /><br /><strong>Qureos is a dynamic and forward-thinking organisation dedicated to shaping the future of career development. We are committed to empowering professionals by connecting them with meaningful opportunities, mentorship, and the skills needed to thrive in a competitive landscape. Our innovative platform leverages technology to bridge the gap between talent and industry, and we are now seeking a talented AI Engineer to join our pioneering team.</strong><br /><br /><strong>Job Overview</strong><br /><br /><strong>We are looking for a highly skilled and motivated AI Engineer to join our team in Karachi. The ideal candidate will be passionate about artificial intelligence and its application in solving real-world challenges. You will play a crucial role in designing, developing, and deploying cutting-edge AI and machine learning models that power our platform's core features, from intelligent job matching and skill analysis to personalised career guidance. This is an exciting opportunity to make a significant impact within a growing company at the forefront of the EdTech and recruitment industries.</strong><br /><br /><strong>Responsibilities</strong><br /><br /><strong>- Design, build, and deploy robust machine learning models to enhance our platform's capabilities.</strong><br /><strong>- Develop and refine recommendation systems to accurately match candidates with relevant job opportunities, projects, and mentors.</strong><br /><strong>- Utilise Natural Language Processing (NLP) techniques to analyse and interpret data from resumes, job descriptions, and user interactions.</strong><br /><strong>- Collaborate with cross-functional teams, including software engineers, product managers, and data scientists, to integrate AI solutions into our products.</strong><br /><strong>- Manage the end-to-end lifecycle of AI models, including data collection, preprocessing, training, evaluation, and deployment.</strong><br /><strong>- Stay current with the latest advancements in AI, machine learning, and deep learning to drive continuous innovation.</strong><br /><strong>- Ensure the ethical and responsible use of AI, maintaining fairness and avoiding bias in all models.</strong><br /><strong>- Optimise AI models for performance, scalability, and efficiency.</strong><br /><br /><strong>Qualifications</strong><br /><br /><strong>- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.</strong><br /><strong>- Proven commercial experience as an AI Engineer, Machine Learning Engineer, or in a similar role.</strong><br /><strong>- Strong programming proficiency in Python and extensive experience with key AI/ML libraries such as TensorFlow, PyTorch, and scikit-learn.</strong><br /><strong>- Solid understanding of machine learning algorithms, deep learning, NLP, and statistical modelling.</strong><br /><strong>- Experience with data processing and analysis using tools like Pandas and NumPy.</strong><br /><strong>- Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and MLOps practices is highly desirable.</strong><br /><strong>- Excellent problem-solving abilities and a creative, analytical mindset.</strong><br /><strong>- Strong communication skills and the ability to work effectively in a collaborative team environment.</strong><br /><br /><strong>Benefits</strong><br /><br /><strong>- A competitive salary and comprehensive benefits package.</strong><br /><strong>- Opportunities for professional development and continuous learning.</strong><br /><strong>- A vibrant and supportive work culture that encourages innovation and collaboration.</strong><br /><strong>- The chance to work on meaningful projects that directly impact people's careers.</strong><br /><strong>- Flexible and modern working environment.</strong></p>

AI Engineer

<div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div>AI Engineer &ndash; Agentic Data Platform designs, builds, and deploys autonomous AI agents that reason, plan, and execute tasks using LLMs, multi-agent frameworks, and enterprise data pipelines &mdash; transforming complex business operations into intelligent, self-directed, and scalable automated workflows.</div>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Architect and build autonomous multi-agent AI systems at scale.</li>
<li>Integrate LLMs and agentic frameworks into enterprise data platforms.</li>
<li>Design and optimize data pipelines for AI agent consumption and retrieval.</li>
<li>Develop evaluation frameworks to monitor agent accuracy and performance.</li>
<li>Implement guardrails for safety, compliance, and production-grade reliability.</li>
<li>Collaborate with data scientists, engineers, and business stakeholders cross-functionally.</li>
<li>Research and prototype emerging agentic AI models, tools, and frameworks.</li>
<li>Translate complex business challenges into autonomous AI-native solution designs.</li>
</ul><h3 class="jobSectionHeader"><b>Skill &amp; Experience</b></h3>
<ul><li>Proficiency in Python with LangChain, LangGraph, or similar orchestration tools.</li>
<li>Strong knowledge of LLMs, prompt engineering, and AI agent design patterns.</li>
<li>Experience with cloud platforms including AWS, GCP Vertex AI, or Azure.</li>
<li>Solid understanding of vector databases, RAG pipelines, and knowledge graphs.</li>
<li>Familiarity with MLOps, CI/CD, and agent observability and monitoring tools.</li>
<li>Strong problem-solving, analytical thinking, and effective cross-functional communication.</li>
</ul>
<p><b>Note</b>: Salary depends on experience and skills and is paid in local currency.</p></div>
<br><div></div><div><ul><li><div><div>Date Posted</div>
<div>March 26, 2026</div>
</div></li><div></div><li><div><div>Location</div>
<div><div>Karachi
</div></div></div></li><div></div><li><div><div>Offered Salary:</div>
<div>3461238 - 4012509 / year</div>
</div></li><div></div><li><div><div>Expiration date</div>
<div>November 20, 2028
</div></div></li><div></div><li><div><div>Experience</div>
<div>2 Year
</div></div></li><div></div><li><div><div>Gender</div>
<div>Both
</div></div></li><div></div><li><div><div>Qualification</div>
<div>Bachelor Degree</div></div></li></ul></div>

Hiring Talent

<p>A fast paced startup Company is hiring an AI / ML Engineer.</p><p><b>Job Type:</b> Full-time, remote</p><p><b>Shift Timings:</b> 3 pm to 12 am</p><p><b>Location:</b> Shahrah-e-Faisal, Karachi</p><p><b>Industry:</b> AI / Fintech</p><p><b>Responsibilities</b></p><p>&middot; Research and evaluate techniques for improving LLM reasoning, accuracy, and efficiency &mdash; including prompting strategies, fine-tuning, distillation, and model selection</p><p>&middot; Design and run rigorous experiments with proper baselines, ablations, and statistical analysis to measure the impact of each technique</p><p>&middot; Build evaluation frameworks and benchmarks to systematically measure model quality across Yara's key tasks</p><p>&middot; Improve retrieval-augmented generation pipelines &mdash; embedding models, chunking strategies, re-ranking, query decomposition, and context window optimization</p><p>&middot; Explore fine-tuning approaches (LoRA, RLHF, DPO) to adapt foundation models for domain-specific performance</p><p>&middot; Study and reduce failure modes &mdash; hallucination, instruction drift, reasoning errors, and inconsistent structured output generation</p><p>&middot; Stay current with the research landscape (papers, open-source releases, model updates) and identify techniques with high applicability to Yara's use cases</p><p>&middot; Prototype emerging approaches (chain-of-thought, self-consistency, tool-use planning, multi-agent coordination) and measure real-world impact</p><p>&middot; Translate research findings into production-ready improvements and document results for the engineering team</p><p><b>Requirements:</b></p><p>&middot; 4-5 years in ML/AI research or applied AI engineering</p><p>&middot; Strong understanding of LLM architectures, training dynamics, and inference optimization</p><p>&middot; Hands-on experience with fine-tuning (LoRA, RLHF, DPO) and systematic model evaluation</p><p>&middot; Proficient in Python and ML frameworks (PyTorch,HuggingFace Transformers)</p><p>&middot; Experience designing experiments with proper controls, ablations, and reproducibility</p><p>&middot; Familiarity with RAG systems, embedding models, and retrieval pipelines</p><p>&middot; Strong written communication &mdash; ability to produce clear internal research reports and technical documentation</p><p>Interested candidates may apply.</p><p>Application Question(s):</p><ul><li>Are you willing to work remotely from 3 pm to 12 am?</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>AI: 4 years (Preferred)</li><li>fine-tuning: 4 years (Preferred)</li><li>PyTorch: 4 years (Preferred)</li></ul><p>Work Location: In person</p>

AI / ML Engineer

<p>A fast paced startup Company is hiring an AI Research Engineer.</p><p><b>Job Type:</b> Full-time, onsite</p><p><b>Shift Timings:</b> 3 pm to 12 am</p><p><b>Location:</b> Shahrah-e-Faisal, Karachi</p><p><b>Industry:</b> AI / Fintech</p><p><b>Responsibilities</b></p><p>&middot; Research and evaluate techniques for improving LLM reasoning, accuracy, and efficiency &mdash; including prompting strategies, fine-tuning, distillation, and model selection</p><p>&middot; Design and run rigorous experiments with proper baselines, ablations, and statistical analysis to measure the impact of each technique</p><p>&middot; Build evaluation frameworks and benchmarks to systematically measure model quality across Yara's key tasks</p><p>&middot; Improve retrieval-augmented generation pipelines &mdash; embedding models, chunking strategies, re-ranking, query decomposition, and context window optimization</p><p>&middot; Explore fine-tuning approaches (LoRA, RLHF, DPO) to adapt foundation models for domain-specific performance</p><p>&middot; Study and reduce failure modes &mdash; hallucination, instruction drift, reasoning errors, and inconsistent structured output generation</p><p>&middot; Stay current with the research landscape (papers, open-source releases, model updates) and identify techniques with high applicability to Yara's use cases</p><p>&middot; Prototype emerging approaches (chain-of-thought, self-consistency, tool-use planning, multi-agent coordination) and measure real-world impact</p><p>&middot; Translate research findings into production-ready improvements and document results for the engineering team</p><p><b>Requirements:</b></p><p>&middot; 4-5 years in ML/AI research or applied AI engineering</p><p>&middot; Strong understanding of LLM architectures, training dynamics, and inference optimization</p><p>&middot; Hands-on experience with fine-tuning (LoRA, RLHF, DPO) and systematic model evaluation</p><p>&middot; Proficient in Python and ML frameworks (PyTorch,HuggingFace Transformers)</p><p>&middot; Experience designing experiments with proper controls, ablations, and reproducibility</p><p>&middot; Familiarity with RAG systems, embedding models, and retrieval pipelines</p><p>&middot; Strong written communication &mdash; ability to produce clear internal research reports and technical documentation</p><p>Interested candidates may apply.</p><p>Application Question(s):</p><ul><li>Are you willing to work onsite from 3 pm to 12 am ?</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>ML/AI research: 4 years (Preferred)</li><li>ML frameworks: 4 years (Preferred)</li><li>fine tuning and systematic model evaluation: 4 years (Preferred)</li><li>RAG system: 2 years (Preferred)</li></ul><p>Work Location: In person</p>

AI Research Engineer

Limton Group of Companies

<p>Limton Group of Companies is currently looking to recruit an experienced <b>Software Quality Assurance (SQA) Engineer</b> to join our team.<br/>The ideal candidate will have strong hands-on experience in testing multiple middleware platforms as well as software applications, including desktop, web-based, and mobile applications. This role requires a solid understanding of QA processes, manual test case design and execution, security testing practices, and close collaboration with both internal teams and external stakeholders.</p><p><b>Key responsibilities include:</b></p><ul><li>Designing, reviewing, and executing manual test cases for middleware and application layers</li><li>Testing desktop and web-based applications for functionality, performance, reliability, and security</li><li>Performing application security testing, including <b>penetration testing and vulnerability assessments using SAST and DAST methodologies</b></li><li>Identifying, documenting, and tracking security vulnerabilities and working with development teams on remediation</li><li>Coordinating with clients and stakeholders to gather, clarify, and analyze requirements</li><li>Documenting requirement analysis in the SOW (Scope of Work) clearly and accurately</li><li>Collaborating with development and product teams to ensure quality and security throughout the SDLC</li><li>Identifying, documenting, and tracking defects through resolution</li><li>Mentoring junior QA team members and promoting QA and security best practices</li></ul><p><b>Desired qualifications:</b></p><ul><li>Graduate in Computer Science from a recognized university</li><li>Proven experience as a Senior SQA Engineer or in a similar role</li><li>Strong expertise in manual testing and test case management</li><li>Experience testing middleware, desktop, and web-based applications</li><li>Hands-on experience with <b>security testing, including SAST/DAST and penetration testing tools</b></li><li>Knowledge of testing tools such as Senelium (or similar tools) will be a plus</li><li>Experience in requirement analysis and SOW documentation</li><li>Excellent analytical, communication, and documentation skills</li></ul><p>Pay: Rs60,000.00 - Rs80,000.00 per month</p><p>Work Location: In person</p>

Explore 227+ Applications engineer in Karachi this April. Find roles across top companies and apply now to boost your career.

227 applications engineer jobs In Karachi

Software Engineering

AVP - Technology - Data Engineer.MGN Pak - TECH - Data Management.MIT

AI Engineer

AI Engineer

AI / ML Engineer

AI Research Engineer

SQA