ai prompt engineer (creative tools specialist)

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ai prompt engineer (creative tools specialist) Jobs in Karachi Pakistan

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Contour Software

<div><div><b>About Contour</b></div><div></div><div><div>
Contour Software</div> has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.</div><div><br>
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.</div><div><br>
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!</div><div></div><div><div><div><b>
THE DIVISION:</b><br>
Campana Systems is an international leader in information solutions for the auto club industry. Since 1988, we have been enabling our clients to achieve their ongoing business objectives using our in-depth industry knowledge and trusted technology solutions. Our mission is to enable our auto club clients to achieve their strategic goals by providing leadership through effective innovative solutions and services.</div></div><div></div><div><div><b><br>
THE POSITION:</b><br>
We are expanding our AI capabilities and seeking an <b>Intermediate AI Engineer</b> who can contribute to the design, development, and deployment of AI-powered features. You will work closely with senior engineers and architects to build robust ML systems and assist developers company-wide with AI integration and best practices. The successful hire will work from the Contour Software Karachi/Lahore/Islamabad office as part of the resource-center team that is an extension of the division-based R&amp;D department.</div></div><div></div><div><div><b><br>
JOB RESPONSIBILITIES:</b></div></div><div><ul><li><div>
Implement and test ML/AI components according to design specifications.</div></li></ul></div><div><ul><li><div>
Contribute to building secure, cloud-based AI infrastructure and workflows.</div></li></ul></div><div><ul><li><div>
Integrate LLMs and other AI models into software products.</div></li></ul></div><div><ul><li><div>
Collaborate with cross-functional teams on data preprocessing, model deployment, and evaluation.</div></li></ul></div><div><ul><li><div>
Write clean, maintainable code and technical documentation.</div></li></ul></div><div><ul><li><div>
Provide practical implementation guidance to product and engineering teams.</div></li></ul></div><div><ul><li><div>
Participate actively in agile development processes and sprint planning.</div></li></ul></div><div></div><div><div><b><br>
REQUIRED QUALIFICATIONS:</b></div></div><div><ul><li><div>
Bachelor&rsquo;s in Computer Science, ML/AI, or related field.</div></li></ul></div><div><ul><li><div>
3+ years of experience in software development including ML/AI development and deployment.</div></li></ul></div></div><div><div><ul><li><div>
Experience with Python and ML libraries (scikit-learn, PyTorch, TensorFlow).</div></li></ul></div><div><ul><li><div>
Familiarity with LLMs and model integration (via APIs or frameworks).</div></li></ul></div><div><ul><li><div>
Working knowledge of cloud platforms and related AI services.</div></li></ul></div><div><ul><li><div>
Solid analytical problem-solving skills, with strong written and verbal communication.</div></li></ul></div><div></div><div><div><b><br>
GOOD TO HAVE:</b></div></div><div><ul><li><div>
Experience with MLOps tooling (e.g., MLflow, Kubeflow).</div></li></ul></div><div><ul><li><div>
Familiarity with AI governance and secure model deployment practices.</div></li></ul></div><div><ul><li><div>
Exposure to real-world production ML systems.</div></li></ul></div></div><div><b>
Exciting Benefits we offer:</b></div><ul><li><div>
Market-leading Salary</div></li><li><div>
Medical Coverage &ndash; Self &amp; Dependents</div></li><li><div>
Parents Medical Coverage</div></li><li><div>
Provident Fund</div></li><li><div>
Employee Performance-based bonuses</div></li><li><div>
Home Internet Subsidy</div></li><li><div>
Conveyance Allowance</div></li><li><div>
Profit Sharing Plan [Tenured Employees Only]</div></li><li><div>
Life Benefit</div></li><li><div>
Child Care Facility</div></li><li><div>
Company Provided Lunch/Dinner</div></li><li><div>
Professional Development Budget</div></li><li><div>
Recreational area for in-house games</div></li><li><div>
Sporadic On-shore training opportunities</div></li><li><div>
Friendly work environment</div></li><li><div>
Leave Encashment</div></li></ul><div></div><div><b><i>
Disclaimer:</i></b><i> At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.</i></div><div></div><div><i>
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</i></div></div><div></div>

AI Engineer

TechnoSys

<p><b>Company Description:</b><br/>TechnoSys is a dynamic team of professionals serving the IT sector in Pakistan since 1998. We specialize in retail ERP software solutions and cater to Pakistan's top-notch local retail brands across various verticals, including Restaurant, Bakery, Supermarket, Fashion Retail, Optician, and Distributors. Our commitment to innovation and excellence has made us a leader in the industry. Join our team and contribute to shaping the future of retail technology.</p><p><b>Role Description:</b><br/>This is a full-time on-site role for an Artificial Intelligence Engineer located in Karachi. The AI Engineer will be responsible for designing and developing AI models, implementing machine learning algorithms, and conducting research on advanced AI technologies. Day-to-day tasks include pattern recognition, natural language processing, and neural networks development. The AI Engineer will collaborate with cross-functional teams to integrate AI solutions into software products and enhance system capabilities.</p><p><b>Requirements: </b></p><ul><li>Design, develop, and implement AI/ML models for various business applications.</li><li>Research and apply the latest AI technologies and best practices.</li><li>Train, test, and evaluate models using appropriate datasets.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Collaborate with software developers, data scientists, and product teams to integrate AI solutions into production systems.</li><li>Maintain and monitor deployed models to ensure reliability and performance.</li><li>Document model architecture, process flow, and performance metrics.</li><li>Contribute to innovation by proposing new AI-based features and tools.</li></ul><p><b>Qualification:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>Proven experience in AI/ML development (minimum 2&ndash;3 years preferred).</li><li>Proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras, etc.).</li><li>Strong understanding of data structures, algorithms, and statistical methods.</li></ul><p><b>Details: </b></p><ul><li>Timings: 9 am - 6 pm</li><li>Days: Monday to Friday</li><li>Market Competitive Salary package</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Hope Global School

<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

appearls

<p>We are looking for a highly creative and detail-oriented <b>AI Prompt Engineer</b> to join our team. The ideal candidate will be responsible for crafting high-quality prompts and leveraging cutting-edge AI tools to generate engaging visual, audio, and video content.</p><p>If you have a passion for AI, creativity, and experimentation with emerging technologies, this role is for you.</p><p><b>Key Responsibilities:</b></p><ul><li>Design and optimize prompts for AI-generated content (text, image, video, and voice)</li><li>Work with AI tools to create high-quality marketing and creative assets</li><li>Continuously test and improve prompt performance for better outputs</li><li>Collaborate with design and marketing teams for campaign execution</li><li>Stay updated with the latest AI trends and tools</li></ul><p><b>Tools &amp; Technologies:</b></p><ul><li>Veo3 (AI Video Generation)</li><li>Nano Banana (Creative AI Tool)</li><li>ElevenLabs (AI Voice Generation)</li><li>CapCut (Video Editing)</li><li>Gemini (AI Content &amp; Prompting)</li></ul><p><b>Requirements:</b></p><ul><li>Proven experience with AI tools and prompt engineering</li><li>Strong creative thinking and problem-solving skills</li><li>Basic knowledge of video editing and content creation</li><li>Familiarity with AI-generated voice, video, and image tools</li><li>Ability to work independently and meet deadlines</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience in digital marketing or content creation</li><li>Background in design, media, or tech</li><li>Understanding of AI workflows and automation</li></ul><p><b>Why Join Us?</b></p><ul><li>Work with cutting-edge AI technologies</li><li>Creative and innovative environment</li><li>Opportunity to grow in a fast-evolving field</li></ul><p><b>How to Apply:</b></p><p>Submit your portfolio or samples of AI-generated work along with your application.</p><p>Job Type: Full-time</p><p>Work Location: Hybrid remote in Karachi</p>

AI Prompt Engineer (Creative Tools Specialist)

Qureos

<p><strong>About Qureos</strong></p><p> </p><p>Hiring is broken. Slow. Manual. Expensive.</p><p>At Qureos, we’re rebuilding how companies hire using AI, structured processes, and smart automation.</p><p>We move fast. We test aggressively. We scale what works.</p><p>Now we’re looking for a GTM Engineer who can build the engine behind our revenue machine.</p><p>If you enjoy scraping clean data, wiring tools together, automating workflows, and watching pipeline velocity improve because of systems you built — keep reading.</p><p> </p><p><strong>The Role</strong></p><p> </p><p>This isn’t traditional RevOps.</p><p>This is hands-on, technical GTM engineering.</p><p>You’ll sit at the intersection of:</p><ul><li>Sales</li><li>Growth</li><li>Data</li><li>Automation</li></ul><p> </p><p><strong>Your mission:</strong></p><p> </p><p>Build and optimize the infrastructure that powers our entire revenue engine.</p><p> </p><p><strong>What You’ll Own</strong></p><p> </p><ol><li>Lead Intelligence &amp; List Building<br />- Scrape and enrich lead data using tools and scripts<br />- Build high-quality, segmented lead lists<br />- Use LinkedIn Sales Navigator, scraping tools, APIs, and enrichment platforms<br />- Continuously improve data quality and targeting logic<br />- Outbound shouldn’t rely on guesswork. It should run on signal.<br /> </li><li>GTM Automations<br />- Build automations using Make / Zapier<br />- Connect HubSpot, Zoho, LinkedIn, Airtable, and other tools<br />- Design workflows that eliminate manual tasks<br />- Automate lead routing, enrichment, tagging, and lifecycle transitions<br />- If it’s repetitive, it should be automated.<br /> </li><li>Sales &amp; SDR Sequences<br />- Set up and optimize outbound sequences<br />- Structure email + LinkedIn cadences<br />- Align messaging workflows with ICP segments<br />- Improve conversion rates across touchpoints<br />- Sequences are systems. Systems should be engineered.<br /> </li><li>Integrations &amp; Infrastructure<br />- Connect tools across the revenue stack<br />- Build API-based integrations where needed<br />- Write Python scripts for scraping and automation<br />- Maintain data integrity across systems<br />- Troubleshoot workflow issues proactively<br />- You should be comfortable going from no-code to code when needed.<br /> </li><li>Reporting &amp; Revenue Insights<br />- Review performance numbers across the funnel<br />- Track pipeline coverage and velocity<br />- Maintain clean dashboards and reporting structures<br />- Use Mixpanel, Airtable, CRM data to provide actionable insights<br />- Identify bottlenecks and propose fixes<br />- This role is not just building systems — it’s improving them.</li></ol><p> </p><p><strong>Who You Are</strong></p><p> </p><ul><li>2–5 years experience in GTM, RevOps, Growth Ops, or technical sales operations</li><li>Comfortable with both no-code tools and writing scripts</li></ul><p> </p><p><strong>Experience with:</strong></p><p> </p><ul><li>HubSpot</li><li>Zoho</li><li>LinkedIn Sales Navigator</li><li>Make / Zapier</li><li>Python (scraping / automation)</li><li>Mixpanel</li><li>Airtable</li><li>Strong understanding of outbound and pipeline mechanics</li><li>Numbers-driven, you care about conversion rates, velocity, and coverage</li><li>Builder mindset: high ownership, fast execution</li><li>Comfortable working in ambiguity</li><li>Thinks in systems, not tasks</li></ul><p> </p><p>You don’t wait for instructions.</p><p>You identify inefficiencies and fix them.</p><p> </p><p><strong>What Good Performance Looks Like</strong></p><p> </p><ul><li>Clean, scalable GTM infrastructure</li><li>2–3x pipeline coverage maintained</li><li>Reduced manual work across SDR &amp; sales teams</li><li>Accurate reporting and visibility</li><li>Faster lead-to-meeting conversion</li><li>Revenue engine that runs smoother every month</li></ul><p> </p><p><strong>Why Join Qureos</strong></p><p> </p><ul><li>Build the backbone of a fast-scaling AI company</li><li>High ownership and autonomy</li><li>Direct impact on revenue growth</li><li>Work closely with growth and leadership</li><li>No bureaucracy. Just speed and execution.</li></ul><p> </p><p>If building systems that drive revenue excites you more than maintaining spreadsheets, apply.</p><p>Let’s engineer the growth engine.</p>

Revenue Operations Specialist

Explore 37+ Ai engineer in Karachi Pakistan this April. Find roles across top companies and apply now to boost your career.

37 ai engineer jobs In Karachi Pakistan

AI Engineer

AI Engineer

AI Engineer

AI / ML Engineer

AI Research Engineer

AI Prompt Engineer (Creative Tools Specialist)

Revenue Operations Specialist