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ai engineer

Quanrio LLP

Location: Karachi, Pakistan Experience Required: Minimum 1.5 yearsJob Description: We are seeking a passionate and skilled AI Engineer to join our team in Karachi. The ideal candidate will have at least 1.5 years of hands‑on experience in deploying and fine‑tuning open‑source Sovereign Large Language Models (LLMs). You will be responsible for building, optimizing, and scaling AI solutions, ensuring secure and efficient deployment of LLMs, and collaborating with cross‑functional teams to integrate advanced AI capabilities into our products.Key Responsibilities<ul><li>Deploy, configure, and manage open‑source Sovereign LLMs in production environments.</li><li>Fine‑tune LLMs for domain‑specific tasks such as text generation, summarization, and Q&amp;A.</li><li>Collaborate with data scientists and backend engineers to integrate AI models into applications.</li><li>Optimize model performance, latency, and scalability.</li><li>Ensure compliance with data privacy and security standards in AI deployments.</li><li>Conduct experiments, evaluate models, and document results for continuous improvement.</li><li>Stay updated with the latest advancements in AI/ML and open‑source LLM ecosystems.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>Minimum 1.5 years of professional experience in AI/ML engineering.</li><li>Hands‑on experience with open‑source LLM frameworks such as Hugging Face Transformers, LangChain, RAG pipelines, or similar.</li><li>Strong proficiency in Python and ML libraries (PyTorch, TensorFlow).</li><li>Experience with fine‑tuning techniques (LoRA, PEFT, parameter‑efficient training).</li><li>Familiarity with vector databases (Pinecone, Weaviate, FAISS) for retrieval‑augmented generation.</li><li>Knowledge of cloud platforms (AWS, Azure, GCP) and containerization tools like Docker/Kubernetes.</li><li>Understanding of MLOps practices, CI/CD pipelines, and model monitoring.</li><li>Strong problem‑solving skills and ability to work in collaborative teams.</li></ul>Job type: Full timeJob Type: Full-timePay: Rs150,000.00 - Rs180,000.00 per monthWork Location: In person

AI Engineer

Utopia Fulfillment

Senior AI Engineer &ndash; E-commerce DivisionLocation: On-site Company: Utopia Deals Experience: 3&ndash;5 Years Job Type: Full-timeAbout Utopia DealsUtopia Deals is a fast-growing e-commerce company focused on delivering exceptional value and customer experiences through data-driven innovation. We leverage advanced technology and AI to optimize pricing, personalization, supply chain efficiency, and customer engagement across our platforms.Role OverviewWe are seeking a Senior AI Engineer with 3&ndash;5 years of hands-on experience to join our E-commerce Division. In this role, you will design, build, and deploy AI/ML solutions that directly impact business performance, customer experience, and operational efficiency.Key Responsibilities<ul><li>Design, develop, and deploy machine learning and AI models for e-commerce use cases such as recommendations, demand forecasting, pricing optimization, fraud detection, and customer segmentation</li><li>Work closely with product managers, data engineers, and business stakeholders to translate business needs into scalable AI solutions</li><li>Build and maintain end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment</li><li>Optimize model performance, scalability, and reliability in production environments</li><li>Analyze large datasets to extract insights and drive data-informed decisions</li><li>Stay updated with the latest AI/ML trends and recommend innovative solutions for business growth</li></ul>Required Qualifications<ul><li>3&ndash;5 years of professional experience as an AI Engineer, Machine Learning Engineer, or similar role</li><li>Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn</li><li>Solid understanding of machine learning algorithms, deep learning, and statistical modeling</li><li>Experience working with large datasets, SQL/NoSQL databases, and data pipelines</li><li>Hands-on experience deploying ML models in production environments (cloud or on-premise)</li><li>Strong problem-solving skills and ability to work in a fast-paced environment</li></ul>Preferred Qualifications<ul><li>Experience in e-commerce, retail, or marketplace platforms</li><li>Knowledge of recommendation systems, NLP, or time-series forecasting</li><li>Experience with cloud platforms such as AWS, GCP, or Azure</li><li>Familiarity with MLOps tools and practices (CI/CD, model monitoring, versioning)</li></ul>What We Offer<ul><li>Competitive salary and performance-based incentives</li><li>Opportunity to work on real-world, high-impact AI problems</li><li>Collaborative and innovative work culture</li><li>Career growth and learning opportunities</li></ul>Share your resumes at ahmed.mazhar@utopiadeals.com with position title in Subjectline.Job Type: Full-timeWork Location: In person

Senior AI Engineer

TECHNOSYS 

This is a full-time on-site role for an Jr. Artificial Intelligence Engineer located in Karāchi. 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.<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>QualificationBachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.Proven experience in AI/ML development (minimum 2&ndash;3 years preferred).Proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras, etc.).Strong understanding of data structures, algorithms, and statistical methods.Timings : 9 am - 6pmMonday to FridayMarket Competitive Salary packageKarachi, pechs block 2Job Type: Full-timePay: Rs70,000.00 - Rs80,000.00 per monthWork Location: In person

Jr. AI Engineer

Expertizo

About the RoleWe are looking for a hands-on AI Engineer with strong experience in LLMs, AI agents, and workflow automation. This role focuses on building AI-driven systems, agents, and business automations, not training ML models from scratch.You&rsquo;ll design intelligent agents, orchestrate workflows using n8n, flowise, langchain, or langGraph, and integrate AI into real-world business applications.Key Responsibilities<ul><li>Design, build, and deploy AI agents capable of reasoning, decision-making, and tool usage</li><li>Develop and maintain n8n workflows for AI-driven automation</li><li>Build LLM-powered applications such as chatbots, assistants, and process automation tools</li><li>Implement prompt engineering, agent memory, and multi-step reasoning flows</li><li>Build RAG (Retrieval-Augmented Generation) pipelines</li><li>Integrate AI systems with:</li><li>Internal tools (CRM, ERP, databases)</li><li>Third-party APIs and services</li><li>Develop and consume REST APIs using FastAPI or Flask</li><li>Monitor, debug, and optimize AI agents and automation workflows</li><li>Ensure reliability, scalability, and performance of AI systems</li><li>Document workflows, agent logic, and integrations</li></ul>Required Skills &amp; Experience<ul><li>1+ years of professional experience as an AI Engineer, GenAI Engineer, or Automation Engineer</li><li>Strong proficiency in Python</li><li>Good understanding of data handling and ML fundamentals</li><li>Hands-on experience with LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.)</li><li>Strong prompt engineering skills</li><li>Experience with AI agent frameworks, such as:</li><li>LangChain, LangGraph, LangBase</li><li>LlamaIndex</li><li>Proven experience with n8n workflow automation, including:</li><li>Webhooks</li><li>Event-driven workflows</li><li>Cron-based workflows</li><li>Experience integrating APIs, databases (SQL / NoSQL), and AI services</li><li>Experience with vector databases (FAISS, Pinecone, Weaviate, etc.)</li><li>Self-hosted n8n deployments</li><li>Familiarity with Docker and basic cloud deployments</li><li>Experience with Zapier or Make.com</li></ul>Nice to Have<ul><li>Understanding of MLOps concepts</li></ul>Soft Skills<ul><li>Strong problem-solving mindset</li><li>Ability to explain AI concepts to non-technical stakeholders</li><li>Good communication and teamwork skills</li><li>Self-driven and eager to learn</li></ul>Location: Onsite Job Type: Full-timeJob Type: Full-timePay: Up to Rs1,200,000.00 per yearApplication Question(s):<ul><li>What is your current &amp; expected salary? Failing to address this question will result in rejection.</li></ul>Experience:<ul><li>AI Engineer: 1 year (Required)</li></ul>Work Location: In person

AI Engineer (LLMs, Agents & Automation)

ALBI

<div>We are a fast-growing SaaS company on a mission to propel the restoration industry forward by empowering restoration companies with the technology they need to scale and grow their businesses.
Recently voted a Top 10 Start-up in Chicago by LinkedIn and a Top Start-up by Built In, and backed by Y Combinator, this is an exciting time to join our team as we enter a stage of rapid growth and product expansion.
We&rsquo;re looking for an AI / ML Engineer to help us build production-grade AI systems that power real operational workflows across our platform. This role is hands-on and highly impactful &mdash; you&rsquo;ll work on NLP, LLM-powered features, AI-driven automations, and scalable machine learning systems that are actively used by customers.
You&rsquo;ll collaborate closely with product, engineering, and leadership, owning AI features end-to-end &mdash; from data and models to APIs and production deployment &mdash; while helping shape the future of AI at Albi.
Requirements
Key Responsibilities:<ul>
<li>
Design, build, and deploy applied AI and ML features used in production environments</li>
<li>Develop NLP and LLM-based systems (classification, extraction, summarization, QA, RAG)</li>
<li>Build and maintain AI-driven workflows and automations integrated with core product logic</li>
<li>Design and implement backend services and APIs to support AI inference and data processing</li>
<li>Work with embeddings, vector search, and retrieval-augmented generation (RAG) pipelines</li>
<li>Train, fine-tune, and optimize domain-specific machine learning models</li>
<li>Improve model performance across accuracy, latency, reliability, and cost</li>
<li>Deploy and monitor ML systems in cloud environments</li>
<li>Collaborate closely with product managers and engineers to deliver impactful AI features</li>
<li>Participate in architectural decisions, code reviews, and technical planning</li>
<li>Contribute to testing, monitoring, and continuous improvement of AI systems in production</li>
</ul>
Requirements:<ul>
<li>
3+ years of professional experience in AI / ML or software engineering roles</li>
<li>Strong proficiency in Python</li>
<li>Hands-on experience with machine learning, NLP, or LLM-based systems</li>
<li>Experience deploying ML models or AI services into production</li>
<li>Experience building and integrating RESTful APIs</li>
<li>Familiarity with cloud platforms (Azure, AWS, or GCP)</li>
<li>Understanding of CI/CD pipelines and production reliability</li>
<li>Strong problem-solving skills and a product-oriented mindset</li>
<li>Excellent collaboration and communication skills</li>
</ul>
Benefits
We&rsquo;re driven by purpose, fueled by high energy, and backed by venture funding. We&rsquo;re unapologetically ambitious and make sure that everyone has the support they need to succeed.
We offer a competitive and comprehensive benefits package, including:<ul>
<li>
Competitive salary (based on experience and location)</li>
<li>Generous PTO</li>
<li>Medical, dental, and vision insurance coverage</li>
<li>401(k) plan</li>
<li>High ownership and autonomy over your work</li>
<li>Collaboration with a team of smart, kind, and motivated engineers</li>
<li>An environment where your ideas are valued and growth is prioritized</li>
<li>Regular team events and company off-sites</li>
<li>Equipment budget to help you do your best work</li>
<li>Ongoing learning, mentoring, and career development opportunities</li>
</ul>
Your journey is your own &mdash; and we&rsquo;re here to help you thrive, no matter your starting point.</div>

AI / ML Engineer (Applied AI & Automations)

Darosoft

Job SummaryWe are looking for a hands-on AI Engineer with at least 2 years of professional experience in building AI agents and automated AI-driven workflows. The ideal candidate should have strong experience working with LLMs, AI agent frameworks, and n8n workflow automation, and be capable of integrating intelligent systems into real-world business applications.Key Responsibilities<ul><li>Design, develop, and deploy AI agents capable of task execution, decision-making, and tool usage</li><li>Build and maintain n8n workflows for AI-driven automation</li><li>Integrate AI agents with:</li><li>Internal systems (ERP, CRM, databases)</li><li>Third-party APIs and services</li><li>Develop LLM-powered solutions such as chatbots, assistants, and process automation tools</li><li>Implement prompt engineering, agent memory, and multi-step reasoning flows</li><li>Build and consume REST APIs for AI integrations</li><li>Monitor, debug, and optimize AI agents and automation workflows</li><li>Ensure reliability, scalability, and performance of AI systems</li><li>Document AI workflows, agent logic, and integrations</li></ul>Required Skills &amp; QualificationsExperience<ul><li>Minimum 2 years of professional experience as an AI Engineer / ML Engineer / Automation Engineer</li></ul>Core Technical Skills<ul><li>Strong proficiency in Python</li><li>Experience with NumPy, Pandas, Scikit-learn</li><li>Solid understanding of data handling, statistics, and ML fundamentals</li></ul>AI, LLMs &amp; Agents<ul><li>Hands-on experience building AI agents</li><li>Experience working with LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.)</li><li>Strong prompt engineering skills</li><li>Experience with RAG (Retrieval-Augmented Generation) pipelines</li><li>Familiarity with agent frameworks such as:</li><li>LangChain</li><li>LlamaIndex</li><li>or similar tools</li></ul>Automation &amp; Workflows<ul><li>Proven experience working with n8n workflow automation</li><li>Experience building:</li><li>Event-driven workflows</li><li>Webhook-based automations</li><li>Scheduled (cron) workflows</li><li>Ability to orchestrate workflows involving LLMs + APIs + databases</li></ul>APIs &amp; Backend<ul><li>Experience building and consuming REST APIs</li><li>Familiarity with FastAPI or Flask</li><li>Experience integrating AI systems with databases (SQL / NoSQL)</li></ul>Nice to Have (Plus Points)<ul><li>Experience with self-hosted n8n deployments</li><li>Knowledge of vector databases (FAISS, Pinecone, Weaviate, etc.)</li><li>Experience with Docker and basic cloud deployments</li><li>Familiarity with MLOps concepts</li><li>Experience with Zapier / Make.com in addition to n8n</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical skills</li><li>Ability to explain AI concepts to non-technical stakeholders</li><li>Good communication and teamwork skills</li><li>Self-driven and eager to learn new technologies</li></ul>Job Type: Full-timePay: Rs55,000.00 - Rs75,000.00 per monthWork Location: In person

Artificial Intelligence Engineer

VIDIZMO LLC

<div>We're seeking passionate, driven, and self-motivated individuals to join our team. If you're eager to grow in a dynamic environment and be part of a company that&rsquo;s at the forefront of AI innovation, this is your chance to hit the ground running. 
VIDIZMO is a USA-based technology company headquartered in Tysons, Virginia, and a Microsoft Solutions Partner in Data &amp; AI, Infrastructure, and Digital &amp; App Innovation. Offering a AI-Powered Intelligence Hub, we empower Fortune 500 companies, large enterprises, governments, and the public sector to securely manage, analyze, and govern their data with complete control and compliance. 
Our Multimodal AI Data Intelligence Platform leverages Large Language Models (LLMs) and RAG (Retrieval-Augmented Generation) to deliver powerful capabilities such as auto-tagging, redaction, content summarization, OCR, translation, subtitle creation, object detection and tracking, content search, sentiment and emotion analysis, topic extraction, document classification, and facial attribute detection. 
About the Role 
We are seeking an experienced and highly skilled Computer Vision &amp; Video Analytics Engineer to join our cutting-edge AI engineering team. In this role, you will design, build, and optimize real-time intelligent video analytics (IVA) systems by bridging the gap between machine learning models and high-performance production deployment.

You will architect and optimize GPU-accelerated video pipelines using NVIDIA DeepStream, GStreamer, CUDA, and TensorRT to deliver low-latency, scalable, and production-grade solutions. 
Responsibilities
<ul>
<li>Architect, develop, and optimize real-time video analytics pipelines using NVIDIA DeepStream and GStreamer.</li>
<li>Optimize deep learning inference using TensorRT and maximize GPU performance using CUDA.</li>
<li>Integrate computer vision models (detection, segmentation, tracking, classification) into production systems.</li>
<li>Write clean, efficient, and maintainable C/C++ and Python code for Linux-based environments.</li>
<li>Troubleshoot, debug, and optimize GPU-accelerated, high-throughput applications.</li>
<li>Collaborate with data scientists, hardware teams, and backend engineers to refine and deploy AI pipelines.</li>
<li>Participate in code reviews, system design discussions, and performance optimization sessions.</li></ul> 


Requirements 
<ul>
<li>
Professional software engineering experience with a focus on computer vision, GPU acceleration, or high-performance computing.</li>
<li>Strong proficiency in C/C++ and Python.</li>
<li>Hands-on experience with:
<ul><li>NVIDIA DeepStream SDK</li>
<li>GStreamer multimedia pipelines</li>
<li>CUDA programming</li>
<li>TensorRT for model optimization</li>
</ul></li><li>Strong understanding of computer vision tools and frameworks: OpenCV, PyTorch, TensorFlow, ONNX.</li>
<li>Familiarity with message brokers such as Kafka, MQTT, or microservice architectures.</li>
<li>Strong grasp of CV concepts: object detection, segmentation, classification, tracking, and model optimization.</li>
<li>Excellent debugging and problem-solving skills in GPU-accelerated environments.</li>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Electrical Engineering, or a related field.</li></ul> 


Preferred Qualifications 
<ul>
<li>Experience with Docker, containerization, and Kubernetes.</li>
<li>Hands-on experience with NVIDIA Jetson or other edge AI platforms.</li>
<li>Experience building custom GStreamer plugins or low-level GPU kernels.</li></ul> 


Essential Skills:

The ideal candidate demonstrates strong business acumen, can translate objectives into impactful solutions, and is proficient in leveraging AI tools&mdash;including mandatory use of platforms like ChatGPT&mdash;to enhance efficiency. An ownership mindset and the ability to drive outcomes with minimal task-level direction are essential. 
Benefits: Health Insurance (OPD/IPD), Separate Maternity Cover, Leave encashment, Car Support Program, Referral Bonus, EOBI, Bi-Annual Increment. Provident Fund, Career Growth, Bonus (benefits vary based on location) 


Multiple Locations: Pakistan, India, UAE, Australia, Canada &amp; USA</div>

CUDA Developer

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