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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>

AI Engineer

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>

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>

<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><b>
THE DIVISION:</b></div><div>
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><b><br>
THE POSITION:</b></div><div>
We are building next-generation AI capabilities to enhance our product suite and internal operations for <b>a one-year contract</b>. As a Lead AI Engineer, you will play a pivotal role defining and validating our AI architecture and governance. You will guide AI strategy, provide hands-on development leadership, and collaborate with senior architects, engineers, and product stakeholders to operationalize enterprise-grade AI services. 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><b><br>
JOB RESPONSIBILITIES:</b></div><ul><li><div>
Lead the design, validation, and documentation of the enterprise AI architecture and governance model.</div></li><li><div>
Architect secure, scalable AI/ML environments in cloud platforms for production use.</div></li><li><div>
Guide the integration of Large Language Models (LLMs) into internal and customer-facing software products.</div></li><li><div>
Provide technical leadership on ML pipelines, model lifecycle workflows, and model governance best practices.</div></li><li><div>
Establish coding standards, development guidelines, and AI guardrails for engineering teams.</div></li><li><div>
Actively contribute to the development and deployment of AI-enabled features and services.</div></li><li><div>
Mentor and coach intermediate and junior AI/ML engineers.</div></li><li><div>
Collaborate across teams to move AI use cases from prototype to production, ensuring robustness, monitoring, and scalability.</div></li></ul><div></div><div><b><br>
REQUIRED QUALIFICATIONS:</b></div><ul><li><div>
Bachelor&rsquo;s in Computer Science, ML/AI, or related field.</div></li><li><div>
Strong experience in applied AI/ML engineering roles.</div></li><li><div>
Strong expertise with training, fine-tuning, or integrating LLMs (OpenAI, Anthropic, LLaMA, etc.).</div></li><li><div>
Proven track record designing and deploying ML systems at scale in cloud environments (AWS, Azure, or GCP).</div></li><li><div>
Experience building secure, enterprise AI infrastructure with CI/CD practices.</div></li><li><div>
Proficiency with Python, ML frameworks (TensorFlow, PyTorch), and API integration.</div></li><li><div>
Excellent analytical, leadership, and communication skills.</div></li></ul><div></div><div><b><br>
GOOD TO HAVE:</b></div><ul><li><div>
Prior experience in a lead AI architect or principal engineer role.</div></li><li><div>
Knowledge of MCP or similar emerging ML standards and protocols.</div></li><li><div>
Experience with data governance frameworks and MLOps tooling.</div></li></ul><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>

Lead AI Engineer

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

RESOLUTE DIGITALS

<p><b>Role Overview</b></p><p>We are looking for a technically driven Junior Voice AI &amp; Automation Engineer to join our growing team. In this role, you will design, build, and maintain AI-powered voice agents on platforms such as Vapi and Retell AI, while also architecting automation workflows across GoHighLevel (GHL), n8n, Zapier, and Make.com. You will work closely with the AI Solutions Lead to deliver production-grade systems that handle real phone conversations and streamline business operations end-to-end.</p><p>This is a hands-on, execution-focused role. You are expected to move fast, iterate with precision, and take ownership of your deliverables from day one.</p><p><b>Key Responsibilities</b></p><p><b>Voice Agent Development</b></p><ul><li>Design and deploy AI voice agents on Vapi and Retell AI for inbound and outbound call use cases.</li><li>Write, test, and optimize system prompts for real-time voice interactions with a focus on low latency and natural conversation flow.</li><li>Configure call flows, dynamic variables, webhooks, and function calling within Vapi and Retell AI platforms.</li><li>Integrate voice agents with CRMs, databases, and third-party APIs to enable real-time data operations during calls.</li><li>Debug live voice agent issues including interruption handling, transcription errors, and call recovery scenarios.</li></ul><p><b>Automation &amp; Workflow Engineering</b></p><ul><li>Build and maintain multi-step automation workflows using n8n, Make.com (Integromat), and Zapier.</li><li>Develop GHL (GoHighLevel) pipelines including sub-accounts, workflows, triggers, and custom values.</li><li>Connect voice agents to automation stacks to enable post-call actions such as CRM updates, follow-up sequences, and reporting.</li><li>Implement error handling, retry logic, and data validation within automation flows.</li><li>Document all workflows and integrations for team knowledge transfer and maintenance.</li></ul><p><b>Quality Assurance &amp; Optimization</b></p><ul><li>Monitor agent performance, call completion rates, and automation success metrics.</li><li>Conduct structured testing of voice flows before production deployment.</li><li>Continuously improve prompt quality and conversation logic based on real call data.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><p><b>Voice AI Platforms</b></p><ul><li><b>Vapi AI: </b>Hands-on exposure to agent configuration, prompt design, phone number provisioning, and webhook setup.</li><li><b>Retell AI: </b>Hands-on exposure to LLM node setup, multi-prompt agents, and call state management.</li><li>Working knowledge of prompt engineering principles for voice-first interactions.</li></ul><p><b>Automation Platforms</b></p><ul><li><b>n8n: </b>Proficiency in building complex multi-step workflows, HTTP requests, and conditional logic.</li><li><b>Make.com (Integromat): </b>Working knowledge of scenario design, module chaining, and error handling.</li><li><b>Zapier: </b>Familiarity with Zap creation, multi-step workflows, and Zapier Tables/Interfaces.</li><li><b>GoHighLevel (GHL): </b>Experience with workflow automation, custom triggers, pipeline management, and webhook integration.</li></ul><p><b>Technical Foundations</b></p><ul><li>Solid understanding of REST APIs, JSON payloads, and webhook mechanics.</li><li>Basic scripting ability in JavaScript or Python for custom automation logic.</li><li>Familiarity with LLM concepts including system prompts, temperature, and function/tool calling.</li><li>Ability to read and interpret API documentation independently.</li></ul><p><b>Nice to Have</b></p><ul><li>Prior experience deploying voice agents in a production environment.</li><li>Exposure to ElevenLabs, Deepgram, or other TTS/STT providers.</li><li>Knowledge of OpenAI or Anthropic function calling schemas.</li><li>Experience with CRM integrations such as HubSpot, Salesforce, or GHL.</li><li>Familiarity with GPT-4.1 or Claude prompting best practices for agentic workflows.</li><li>Basic understanding of telephony concepts (SIP, PSTN, call routing).</li></ul><p><b>Location:</b> Gulshan-e-Jamal, Karachi</p><p>Apply Now &amp; Grow With Us</p><p>Send your CV:hr.resolutedigitals@gmail.com</p><p>Work Location: In person</p>

Junior Voice AI & Automation Engineer

Explore 154+ Ai engineer in Karachi this April. Find roles across top companies and apply now to boost your career.

154 ai engineer jobs In Karachi

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Junior Voice AI & Automation Engineer