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ai engineer

Funprime technologies Pvt Ltd

We are hiring a AI Engineer with deep expertise in AI model development, optimization, and deployment. The role primarily focuses on enhancing existing AI models, improving their accuracy and efficiency, and managing server-side infrastructure for large-scale AI applications.Key Responsibilities<ul><li>Research, fine-tune, and enhance AI models for performance, scalability, and accuracy.</li><li>Develop backend systems to support model inference, data pipelines, and monitoring.</li><li>Manage and optimize server infrastructure (GPU-based systems, Docker, Kubernetes).</li><li>Deploy and maintain AI models in production with CI/CD pipelines.</li><li>Handle model versioning, testing, and performance evaluation.</li><li>Collaborate with cross-functional teams to ensure seamless model integration and stability.</li></ul>Required Skills <ul><li>Proficiency in Python, with experience in PyTorch, TensorFlow, or Transformers.</li><li>1-2 years of experience Required.</li><li>Strong understanding of machine learning model training, tuning, and deployment.</li><li>Experience with Docker, Kubernetes, Linux server management, and cloud environments (AWS / GCP / Contabo).</li><li>Solid knowledge of REST APIs, microservices, and data pipelines.</li><li>Familiarity with DevOps/MLOps tools and best practices.</li><li>Bonus: Experience in distributed training, GPU optimization, or custom model architectures.</li></ul>Job Type: Full-timeWork Location: In person

AI Engineer

ZIEL Global Private Limited

About the Role We&rsquo;re looking for an experienced AI Engineer to design and implement production-grade AI systems that automate complex workflows, enable intelligent decision support, and deliver real-time insights for enterprise operations. You will build and optimize large language model (LLM) applications integrated with live business data, ensuring performance, reliability, and compliance at scale.Key Responsibilities<ul><li>Develop intelligent agent workflows using frameworks such as LangChain or LangGraph</li><li>Integrate LLMs with APIs, databases, and external business systems</li><li>Design context-aware, multi-turn conversational systems and long-running agents</li><li>Build evaluation frameworks to measure system accuracy and business relevance</li><li>Fine-tune models for domain-specific use cases and explore reinforcement learning agents</li><li>Implement data security, compliance, and audit mechanisms for AI components</li></ul>Qualifications<ul><li>5+ years of software engineering or applied AI experience</li><li>Proven expertise building and deploying production AI/ML systems</li><li>Hands-on experience with major LLMs (OpenAI, Anthropic, or open-source)</li><li>Strong skills in Python and API-based system design</li><li>Familiarity with prompt engineering, RAG architectures, and vector databases</li><li>Excellent communication and analytical thinking skills</li></ul>Preferred<ul><li>Experience with industrial or procurement-based data domains</li><li>Familiarity with MRO or enterprise data environments</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you available to join immediately?</li><li>How would you rate your English communication skills, spoken and written?</li><li>What are your salary expectations?</li></ul>Work Location: In person

Cortech sols pvt ltd

We are seeking a highly skilled AI Engineer to join our team and drive the development of cutting-edge AI solutions. The ideal candidate will have deep expertise in Retrieval-Augmented Generation (RAG), Advanced RAG, Generative AI, Large Language Models (LLMs), Fine-tuning LLMs, Voice Chatbots, Deep Learning, LangChain, LangGraph and Computer Vision. You will work on designing, optimizing, and deploying AI models that enhance automation, improve decision-making, and revolutionize user experiences.Key Responsibilities: <ul><li>Develop and optimize RAG-based architectures to enhance AI-driven information retrieval and generation.</li><li>Work on Advanced RAG techniques to improve contextual understanding and response relevance.</li><li>Implement Generative AI solutions for text, image, and video synthesis.</li><li>Fine-tune LLM models to cater to specific business needs, ensuring high accuracy and efficiency.</li><li>Develop and enhance Voice Chatbots using NLP and speech recognition technologies.</li><li>Design and deploy Deep Learning models for various AI applications, including classification, prediction, and anomaly detection.</li><li>Apply Computer Vision techniques for image processing, object detection, and real-time video analytics.</li><li>Collaborate with cross-functional teams to integrate AI solutions into enterprise platforms.</li><li>Optimize models for scalability, efficiency, and deployment in production environments.</li></ul>Experience:: 2-3 YearsApplication Form link:https://forms.gle/AFP4bWV5KDjxWoaZAJob Types: Full-time, ContractPay: Rs150,000.00 - Rs200,000.00 per monthAbility to commute/relocate:<ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>Gen AI: 2 years (Required)</li></ul>Location:<ul><li>Islamabad (Required)</li></ul>Work Location: In person

WebDigitalSphere

Job description:We are looking for a Senior AI Engineer who is passionate about building cutting-edge AI and Machine Learning solutions. This role involves working with advanced technologies like NLP, Generative AI (GenAI), Large Language Models (LLMs), LangChain, GCP, Python, and Computer Vision to develop and deliver impactful AI-driven applications for clients across various industries.Key Responsibilities:<ul><li>Design, build, and deploy scalable AI/ML models and pipelines.</li><li>Work on NLP, GenAI, LLMs, LangChain, and Computer Vision projects.</li><li>Collaborate with data scientists, developers, and product teams to implement innovative solutions.</li><li>Optimize and fine-tune models for performance, scalability, and accuracy.</li><li>Integrate AI models into real-world applications and client systems.</li><li>Stay updated on the latest trends in AI, ML, and data science to enhance solution quality.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>4&ndash;5 years of professional experience in AI/ML development.</li><li>Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.</li><li>Hands-on experience with NLP, LLMs, LangChain, and GCP (Google Cloud Platform).</li><li>Strong understanding of data preprocessing, model training, and deployment.</li><li>Excellent communication, teamwork, and problem-solving skills.</li></ul>Why Join Us:<ul><li>Competitive USD-based salary.</li><li>Opportunity to work with global clients and next-generation AI technologies.</li><li>Collaborative, innovative, and growth-oriented environment.</li></ul>Job Type: Full-timeWork Location: In person

Lead AI Engineer

Pakistan Single Window (PSW)

<div>
 <ul>
 <li>
 Build and optimize ETL pipelines for large-scale AI applications, integrating APIs, web scraping, and real-time data processing
 </li>
 <li>
 Develop and maintain scalable AI data infrastructure using PySpark, Pandas, SQL, and cloud services (Azure, AWS, GCP)
 </li>
 <li>
 Implement retrieval-augmented generation (RAG) pipelines using FAISS, ChromaDB, and Pinecone for AI-driven insights
 </li>
 <li>
 Deploy and monitor AI applications using FastAPI, Streamlit, Docker, for real-time performance
 </li>
 <li>
 Work with cross-functional teams to ensure data security, compliance, and AI model reliability in production environments
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field
 </li>
 <li>
 Atleast 2-4 years of experience in data engineering, AI/ML, or cloud-based AI infrastructure
 </li>
 <li>
 Expertise in Python, PySpark, and SQL for data transformation and large-scale processing
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, GCP) for AI model deployment and data pipeline automation
 </li>
 <li>
 Hands-on experience with vector databases (FAISS, ChromaDB, Pinecone) for efficient data retrieval
 </li>
 <li>
 Proficiency in containerization and orchestration tools like Docker and Kubernetes
 </li>
 <li>
 Strong understanding of retrieval-augmented generation (RAG) and real-time AI model deployment
 </li>
 <li>
 Knowledge of API development and AI service integration using FastAPI and Streamlit/Dash
 </li>
 <li>
 Ability to optimize AI-driven automation processes and ensure model efficiency
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Excellent communication and collaboration abilities
 </li>
 </ul>
</div>

AI Data Engineer

Pakistan Single Window

<div><ul><li>Build and optimize ETL pipelines for large-scale AI applications, integrating APIs, web scraping, and real-time data processing.</li>
<li>Develop and maintain scalable AI data infrastructure using PySpark, Pandas, SQL, and cloud services (Azure, AWS, GCP).</li>
<li>Implement retrieval-augmented generation (RAG) pipelines using FAISS, ChromaDB, and Pinecone for AI-driven insights.</li>
<li>Deploy and monitor AI applications using FastAPI, Streamlit, Docker, for real-time performance.</li>
<li>Work with cross-functional teams to ensure data security, compliance, and AI model reliability in production environments.</li>
</ul>
Requirements<ul>
<li>
Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field.</li>
<li>Atleast 2-4 years of experience in data engineering, AI/ML, or cloud-based AI infrastructure.</li>
<li>Expertise in Python, PySpark, and SQL for data transformation and large-scale processing.</li>
<li>Experience with cloud platforms (AWS, Azure, GCP) for AI model deployment and data pipeline automation.</li>
<li>Hands-on experience with vector databases (FAISS, ChromaDB, Pinecone) for efficient data retrieval.</li>
<li>Proficiency in containerization and orchestration tools like Docker and Kubernetes.</li>
<li>Strong understanding of retrieval-augmented generation (RAG) and real-time AI model deployment.</li>
<li>Knowledge of API development and AI service integration using FastAPI and Streamlit/Dash.</li>
<li>Ability to optimize AI-driven automation processes and ensure model efficiency.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Excellent communication and collaboration abilities.</li></ul></div>

Openprovider

<div>About the company
Openprovider is an ICANN-accredited domain registrar and technology company founded in 2004 in Rotterdam, Netherlands. We are a fully-remote organisation with more than 100 team members spread across 20+ countries. Remote working means no office, no painful commuting, and no stressful traffic - all you need is yourself, a laptop, and a cup of coffee!
A diverse and inclusive organisation, we support a healthy work-life balance and are constantly looking for new ways to help the well-being of our people. We support a flexible schedule and are 100% performance and result-oriented. At Openprovider, we're not just a company; we're a mission-driven team dedicated to transforming the domain industry. We believe in providing a trusted digital identity to every business.
Our innovative approach is reshaping the industry from a traditional transactional model to a more customer-centric, subscription-based approach. We pay subscriptions for music, newspapers, and movies - why should domains be any different?
Come join us on our journey to create a trusted digital world.
About the role
We're looking for a highly skilled Full Stack AI Automation Engineer to design, build, and maintain intelligent automation systems that leverage AI to streamline business processes. You'll be responsible for creating end-to-end solutions that connect APIs, automate workflows, and deploy scalable AI-powered applications.
This is a cross-functional role sitting at the intersection of AI/ML, backend development, frontend interfaces, and DevOps - ideal for someone who enjoys building complete solutions and loves bringing AI capabilities to life through automation.
What you'll do<ul><li>
Design and develop full-stack automation platforms using Python for backend logic and modern frontend frameworks</li><li>
Build and integrate AI-powered workflows using LLMs, machine learning models, and intelligent decision-making systems</li><li>
Create and maintain RESTful APIs and GraphQL endpoints for automation services and third-party integrations</li><li>
Deploy and manage applications on Google Cloud Platform (GCP) using serverless functions, containers, and managed services</li><li>
Implement CI/CD pipelines and maintain code repositories using GitHub with proper branching strategies and code reviews</li><li>
Collaborate using Jira for project management and Confluence for technical documentation and knowledge sharing</li><li>
Monitor system performance, implement error handling, and ensure high availability of automation services</li><li>
Work closely with stakeholders to identify automation opportunities and translate business requirements into technical solutions</li><li>
Optimize existing automations for performance, cost-efficiency, and scalability</li><li>
Maintain comprehensive documentation and establish best practices for the automation platform</li></ul> 
What you'll bring<ul><li>
Hands-on engineering mindset with ability to architect and execute complex automation solutions</li><li>
Self-starter attitude with strong problem-solving skills and ability to work independently</li><li>
5+ years of Python development experience with expertise in frameworks like FastAPI, Django, or Flask</li><li>
3+ years of full-stack development experience with modern frontend frameworks (React, Vue.js, or Angular)</li><li>
2+ years of AI/ML integration experience working with LLMs, APIs (OpenAI, Anthropic), and ML frameworks</li><li>
Proven experience with API development including RESTful services, authentication, rate limiting, and documentation</li><li>
Strong GCP expertise including Cloud Functions, Cloud Run, BigQuery, Vertex AI, and infrastructure management</li><li>
Advanced Git/GitHub skills including Actions, project management, and collaborative development workflows</li><li>
Proficiency with Jira for agile project management and Confluence for technical documentation</li><li>
Experience with automation frameworks and workflow orchestration tools</li><li>
Knowledge of database design (both SQL and NoSQL) and data processing at scale</li><li>
Understanding of DevOps practices including containerization (Docker), CI/CD, and monitoring</li><li>
Strong system design skills with ability to architect scalable, maintainable solutions</li></ul>
What we offer<ul><li>
100% Remote Work: Work from anywhere in the world - we&rsquo;re a fully remote company with no mandatory office presence.</li><li>
Flexible Working Hours: Plan your day around your energy and productivity.</li><li>
Paid Time Off &amp; Sick Leave: We encourage rest and recovery &mdash; take time to recharge when needed.</li><li>
Quarterly &amp; Annual Reviews: Transparent performance conversations with space to grow, learn, and progress.</li><li>
Global Team Culture: Collaborate with open-minded colleagues from over 20 countries - we value diversity and inclusion.</li><li>
Regular Online &amp; Offline Events: Virtual coffee breaks, online games, meetups, and company gatherings to keep our connections strong.</li><li>
Learning &amp; Growth Opportunities: Internal workshops, cross-team projects, and knowledge-sharing sessions to keep developing your skills.</li><li>
Modern Remote Workplace: We&rsquo;re proud to be an ISO 27001-certified organization, ensuring high standards of security and professionalism in everything we do.</li><li>
Tools That Empower You: We provide access to top collaboration tools and platforms that make remote teamwork efficient and enjoyable.</li><li>
Supportive Environment: A culture that values trust, transparency, and wellbeing &mdash; we believe happy people build better products.</li></ul></div>

Full Stack AI Automation Engineer - Fully Remote Job

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Full Stack AI Automation Engineer - Fully Remote Job