ai engineer

associate sqa engineer

automation qa engineer

senior ai engineer

ai data scientist

agentic ai engineer

Cinnova International

Job Overview:Cinnova is seeking an Agentic AI Engineer with 3 to 4 years of experience in AI-driven automation, workflow orchestration, and applied ML development. The role focuses on building and deploying multi-step agent workflows using state-of-the-art frameworks and automation platforms. The engineer will work closely with senior architects to convert requirements into stable, production-ready agentic solutions.Key Responsibilities:Agentic AI Development <ul><li>Build multi-step AI agent workflows using platforms such as Microsoft Copilot Studio, Azure AI Studio Agents, AWS Bedrock Agents, or automation tools like n8n and Make.</li><li>Implement intelligent retrieval, planning, tool calling, and step-by-step task automation using LangChain, LlamaIndex, or similar libraries.</li><li>Deploy and configure agent pipelines that integrate external APIs, databases, vector stores, RPA tools, and enterprise business systems.</li><li>Ensure workflows are reliable, observable, recoverable, and optimized for latency and cost. AI and ML Engineering</li><li>Train, fine-tune, or evaluate smaller models and embeddings for specific tasks.</li><li>Configure and deploy inference endpoints using AWS Sagemaker, Azure ML, GCP Vertex AI, or on-prem platforms such as MLflow or Kubeflow.</li><li>Manage model versioning, monitoring, experiment tracking, and data pipelines.</li></ul>Automation and Integration<ul><li>Build automations that connect AI agents with CRMs, ERPs, internal tools, ticketing systems, or cloud services.</li><li>Create reusable components for agent invocation, memory management, prompt templates, and decision trees.</li><li>Work closely with DevOps to ensure stable deployments, CI/CD, and secure execution. Quality, Testing, and Reliability</li><li>Conduct stress testing, fallback logic design, and scenario validation for agentic systems.</li><li>Identify failure modes and implement error handling, guardrails, and human-in-the-loop controls.</li></ul>Required Qualifications: <ul><li>3 to 4 years of experience in AI engineering, automation engineering, or ML implementation.</li><li>Hands-on experience with LangChain, LlamaIndex, or similar frameworks for agent development.</li><li>Experience using agent platforms such as Microsoft Copilot Stack, Azure AI Studio Agents, AWS Bedrock Agents, n8n, Make, or equivalent.</li><li>Familiarity with open-source ML tools: Kubeflow, MLflow, Ray, or similar.</li><li>Experience working with AWS, Azure, or GCP for deploying AI workloads.</li><li>Strong experience building workflows that integrate APIs, data pipelines, vector stores, and external systems.</li><li>Strong skills in Python or JavaScript for implementing agent logic.</li></ul>Perks and Benefits:<ul><li>Competitive Salary</li><li>Provident Fund and Medical Allowances</li><li>Professional Training and Certifications</li><li>Paid Time Off</li><li>Semi-Annual Performance Bonus and Awards</li><li>Hajj/Umrah Leaves</li><li>Maternity/Paternity Leaves</li><li>Wedding Leaves</li><li>Long Service Bonus and Awards</li><li>Friday Lunch</li><li>Company Sports, Game Nights, Dinners</li><li>Fun and Dynamic Working Environment</li></ul>About Cinnova:Cinnova is an innovation-focused software development company helping startups and established firms with their MVPs, product design, and ongoing software development needs. With a proven track record of contributing to continuous growth, Cinnova has been part of rapid expansions and some great exits for our clients. From Blockchain technology to IoT development, AI, Machine Learning, and beyond, we have always been at the forefront of the technology landscape by bringing innovation to both startups and growth companies.Cinnova = (C)reativity + (innova)tion. This is our guiding principal both internally for our employees and externally for our customers. With that in mind, we promote a startup culture and encourage innovative ideas to incorporate in our delivery to our clients. This has been very successful as we are proud to have members who come from a startup background and continue to help Cinnova being an innovation hub.Job Type: Full-timeWork Location: In person

Agentic AI Engineer

Cogent Labs

Cogent Labs is looking for a Senior Generative AI Engineer for Its Lahore office.Key Responsibilities<ul><li>Design and lead the development of LLM-based applications using cutting-edge frameworks for agentic workflows and system coordination</li><li>Architect agentic and multi-agent systems to handle complex workflows</li><li>Drive prompt engineering strategies and own the quality of model outputs</li><li>Implement RAG pipelines, fine-tune LLMs, and manage inference at scale</li><li>Collaborate with product, data, and engineering teams to integrate AI into production systems</li><li>Mentor junior engineers, set engineering standards, and contribute to internal GenAI tooling</li><li>Stay ahead of the curve on advancements in LLMs, GenAI architectures, and multimodal models</li><li>Ensure models are secure, efficient, and compliant with responsible AI practices</li></ul>Must-Haves<ul><li>3+ years of professional experience in AI/ML, Backend, Data Science, Data Engineering or a related field</li><li>At least 2 years of hands-on experience with:</li><li>LangChain, LangGraph, and LangSmith</li><li>Advanced Prompt engineering</li><li>Multi-agentic systems (CrewAI, A2A etc.)</li><li>Evaluation Framework(s)</li><li>Advance Retrieval-Augmented Generation (RAG) and LLM fine-tuning</li><li>Familiarity with MCP (Model Context Protocol)</li><li>Strong Python expertise, especially in async programming, and background job processing</li><li>You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure</li><li>Proven ability to solve complex, non-trivial problems using LLMs and generative AI</li><li>Solid understanding of transformer architecture and model optimization</li><li>Experience with observability for GenAI Applications</li></ul>Nice to Have<ul><li>Experience with multimodal models (e.g., vision + language)</li><li>Experience with hosting and scaling self-hosted models</li><li>Exposure to FastAPI, Django, or other API frameworks</li></ul>Soft Skills<ul><li>Strong communicator with leadership and mentoring skills</li><li>Collaborative and able to turn abstract ideas into real solutions</li><li>Proactive, self-driven, and thrives in fast-paced environments</li><li>Self-accountability and the ability to set a higher bar for the team</li></ul>Deal Breakers<ul><li>No experience with GenAI</li><li>No track record in prompt engineering or LLM-based applications</li></ul>Attractive Perks<ul><li>Daily lunch, performance bonuses, medical coverage, financial assistance, travel allowance and much more</li></ul>Cultural Fit<ul><li>Inclusive approach, high energy and integrity, Attention to detail</li></ul>Job Type: Full-timePay: From Rs200,000.00 per monthWork Location: In person

Senior Generative AI Engineer

NorthBay - Pakistan

<div>
 Job Title: Data Scientist
 
 
 Location: Lahore
 
 
 Job Type: Full-time, (Hybrid)
 
 
 
 Job Description
 
 
 
 NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize LLM-powered features and agentic AI workflows.
 </li>
 <li>
 Develop and maintain data pipelines for extracting, structuring, and processing large datasets.
 </li>
 <li>
 Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.
 </li>
 <li>
 Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.
 </li>
 <li>
 Build Python-based tools and scripts for data manipulation, visualization, and decision automation.
 </li>
 <li>
 Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.
 </li>
 <li>
 Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.
 </li>
 <li>
 Implement monitoring and automated data validation processes to ensure quality and scalability.
 </li>
 <li>
 Contribute to GenAI initiatives and experimentation with emerging AI frameworks.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 4+ years of professional experience in data science, data engineering, or AI-focused roles.
 </li>
 <li>
 2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.
 </li>
 <li>
 1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).
 </li>
 <li>
 Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.
 </li>
 <li>
 Experience with data structuring, cleaning, processing, and visualization tools.
 </li>
 <li>
 Experience building and deploying data-driven or AI-assisted solutions.
 </li>
 <li>
 Good-to-have: Exposure to .NET for application integration or workflow development.
 </li>
 <li>
 Strong communication skills with the ability to translate technical findings into actionable business insights.
 
 
 </li>
 </ul>
 If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
</div>

Data Scientist

NorthBay Solutions

<div><h3 class="jobSectionHeader">Job Title: Data Scientist</h3>
Location: Lahore<h4 class="jobSectionHeader">
Job Type: Full-time, (Hybrid)</h4><h3 class="jobSectionHeader">
Job Description:</h3>
NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.<h2 class="jobSectionHeader">
Key Responsibilities:</h2><ul><li>
Design, implement, and optimize LLM-powered features and agentic AI workflows.</li><li>
Develop and maintain data pipelines for extracting, structuring, and processing large datasets.</li><li>
Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.</li><li>
Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.</li><li>
Build Python-based tools and scripts for data manipulation, visualization, and decision automation.</li><li>
Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.</li><li>
Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.</li><li>
Implement monitoring and automated data validation processes to ensure quality and scalability.</li><li>
Contribute to GenAI initiatives and experimentation with emerging AI frameworks.</li></ul><h2 class="jobSectionHeader">
Requirements:</h2><ul><li>
4+ years of professional experience in data science, data engineering, or AI-focused roles.</li><li>
2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.</li><li>
1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).</li><li>
Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.</li><li>
Experience with data structuring, cleaning, processing, and visualization tools.</li><li>
Experience building and deploying data-driven or AI-assisted solutions.</li><li>
Good-to-have: Exposure to .NET for application integration or workflow development.</li><li>
Strong communication skills with the ability to translate technical findings into actionable business insights.</li></ul> 
If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
2Kn8jJxVIr</div>

<div>
 
 
 
 
 
 
 Job Title
 
 
 
 
 
 
 
 
 
 
 
 
 : Data Scientist
 
 
 
 
 
 
 
 
 
 
 
 
 
 Location:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Lahore
 
 
 
 
 
 
 
 
 
 
 
 
 
 Job Type:
 
 
 
 
 
 
 
 
 
 
 
 
 Full-time, (Hybrid)
 
 
 
 
 
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 
 
 
 
 
 NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.
 
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Design, implement, and optimize LLM-powered features and agentic AI workflows.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Develop and maintain data pipelines for extracting, structuring, and processing large datasets.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Build Python-based tools and scripts for data manipulation, visualization, and decision automation.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Implement monitoring and automated data validation processes to ensure quality and scalability.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Contribute to GenAI initiatives and experimentation with emerging AI frameworks.
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 4+ years of professional experience in data science, data engineering, or AI-focused roles.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Experience with data structuring, cleaning, processing, and visualization tools.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Experience building and deploying data-driven or AI-assisted solutions.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Good-to-have: Exposure to .NET for application integration or workflow development.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Strong communication skills with the ability to translate technical findings into actionable business insights.
 
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
 
 
 
 
 
 
</div>

Devfum

Job description:About Devfum Devfum is a forward-thinking technology company focused on delivering web development, AI, and extended reality (XR) solutions that redefine industries. We specialize in creating innovative digital experiences, from immersive metaverse platforms to AI-powered applications, helping businesses drive growth and efficiency. We foster a collaborative environment where top talent can thrive. At Devfum, you&rsquo;ll work on cutting-edge technologies, contribute to impactful projects, and enjoy opportunities for continuous learning and career growth. Join us and be part of a team that&rsquo;s shaping the future of digital innovation. Vision: &ldquo;To be the world&rsquo;s pioneering digital experience provider&rdquo;. Why Join Devfum? We offer an environment that fosters growth, learning, and work-life balance, ensuring that our employees feel valued and motivated.<ul><li>Bi-Annual Salary Increments: Recognizing your contributions regularly.</li><li>Clear Career Growth Roadmap: Helping you achieve your professional goals.</li><li>Continuous Learning: Access to paid courses to enhance your skills.</li><li>Daily Lunch &amp; Tea: Enjoy complimentary meals and refreshments.</li><li>Monthly Sports Activities: Stay active and refreshed with sports and fun team events.</li></ul>Key Responsibilities <ul><li>Design, build, and deploy Agentic AI systems using LangGraph, LangChain, and modern LLM tooling to address real business problems.</li><li>Own key parts of the data science lifecycle, including data exploration, modeling, evaluation, deployment, and ongoing improvements.</li><li>Implement and maintain production-ready ML pipelines, including data ingestion, preprocessing, feature engineering, and model monitoring.</li><li>Develop scalable backend services and APIs using Python frameworks such as Django, FastAPI, or Flask.</li><li>Design and manage efficient data storage solutions using Redis, PostgreSQL, and MongoDB.</li><li>Work with cloud platforms&mdash;preferably AWS&mdash;to deploy and scale data and AI workloads.</li><li>Build and maintain CI/CD pipelines, manage containerization (Docker), and ensure smooth deployment through Git/GitHub workflows.</li><li>Collaborate closely with product, engineering, and design teams to integrate AI agents into web apps and enterprise systems.</li><li>Research, evaluate, and implement new tools and techniques to improve performance, reliability, and development speed.</li></ul>Required Qualifications <ul><li>2+ years of hands-on experience building and deploying AI/ML systems, including LLM applications, traditional ML models, and deep learning solutions.</li><li>Must share production-grade project examples or portfolio links.</li><li>Technical Expertise:</li><li>Strong proficiency in Python and core data science libraries.</li><li>Agentic Frameworks:</li><li>Practical experience with LangChain and LangGraph; familiarity with Hugging Face tools is a plus.</li><li>Backend Skills:</li><li>Solid experience with one or more Python frameworks (Django, FastAPI, or Flask).</li><li>Databases:</li><li>Hands-on experience with Redis, PostgreSQL, and MongoDB.</li><li>Version Control:</li><li>Proficiency with Git and GitHub.</li><li>Cloud Knowledge:</li><li>Working knowledge of AWS or an equivalent cloud platform.</li><li>Collaboration:</li><li>Ability to work within cross-functional teams and contribute to architecture discussions.</li><li>Education:</li><li>Bachelor&rsquo;s degree in Computer Science, Data Science, AI/ML, or a related technical field.</li></ul>Work Schedule Timings: 12:00 PM &ndash; 9:00 PM, Monday to Friday Salary Range: PKR 110,000 &ndash; PKR 135,000Job Type: Full-timePay: Rs110,000.00 - Rs135,000.00 per monthApplication Question(s):<ul><li>Kindly share your GitHub profile link</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI Engineer : 2 years (Preferred)</li></ul>Location:<ul><li>Lahore (Preferred)</li></ul>Work Location: In person

AI Engineer

GTechSources

We are seeking an experienced AI / Machine Learning Engineer to join our dynamic team. This role requires a highly skilled professional capable of handling the entire lifecycle of machine learning projects, from ideation to deployment. The ideal candidate will bring deep expertise in generative AI, computer vision and classical machine learning/ deep learning models, and possess a strong ability to design and implement complex AI solutions.Key Responsibilities:<ul><li>Develop end-to-end machine learning solutions, including problem framing, data acquisition, solution architecture, model development, testing, and deployment</li><li>Train/Fine-tune generative AI models using state-of-the-art training techniques such as LoRA/QLoRA</li><li>Leverage GenAI for cutting edge solutions including RAG (enterprise), agentic workflows, image/video gen, wrapper apps etc. using APIs, orchestration frameworks, observability and evaluation libraries</li><li>Develop and optimize advanced deep learning models for both NLP and Computer Vision, leveraging transformer-based architectures for tasks like text classification, named entity &emsp;&emsp;recognition, image segmentation, and object detection.</li><li>Develop and implement advanced data scraping and web crawling pipelines to collect and preprocess large-scale datasets</li><li>Implement appropriate ML/DL models and algorithms to address business-specific challenges</li><li>Collaborate with cross-functional teams, including clients, product managers, and domain experts, to define project goals and requirements</li><li>Stay updated with the latest trends and breakthroughs in AI/ML and integrate relevant advancements into the development process</li><li>Manage deployment pipelines, ensuring seamless integration of ML models with production systems</li><li>Drive performance optimization for models and systems, including hyper parameter tuning and retraining strategies.</li></ul>Requirements:Education: <ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Machine Learning, or related fields</li></ul>Experience:<ul><li>Minimum 3 years of professional experience in machine learning/AI</li><li>Proven expertise in handling end-to-end ML project lifecycles, from data processing to production deployment</li></ul>Technical Skills:<ul><li>Proficient in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV etc. and API development using Flask, FastAPI etc</li><li>Expertise in LangChain, Pinecone, Chromadb, OpenAI Functions, FAISS, and other tools for building RAG-based systems and mainstream agentic workflows for dynamic automation and contextual retrieval</li><li>Strong experience with modern deep learning architectures, including CNNs, RNNs, Transformers (BERT, ViTs, GPT), GANs, Diffusion Models, and GNNs for diverse AI applications.</li><li>Hands-on experience with large-scale model training and fine-tuning on cloud platforms (AWS, GCP, Azure)</li><li>Solid knowledge of data preprocessing, augmentation, and feature engineering techniques</li><li>Familiarity with MLOps tools for model versioning, monitoring, and deployment (e.g., MLflow, Docker, Kubernetes)</li></ul>Soft Skills:<ul><li>Strong problem-solving skills with an analytical mindset</li><li>Excellent communication and ability to work collaboratively in a team environment</li></ul>Why Join Us:<ul><li>Work on cutting-edge projects that push the boundaries of AI and ML</li><li>Build AI solutions that solve real-world problems and help businesses become efficient and grow</li><li>Collaborate with a team passionate about innovation and growth</li><li>Access to the latest tools, technologies, and resources for professional development</li><li>Be part of a global team and a supportive work environment that values diversity, creativity, and technical excellence</li></ul>What We Offer:<ul><li>Market-competitive salary</li><li>Weekends off (Saturday and Sunday)</li><li>22 paid holidays</li><li>Medical reimbursement</li><li>Probationary and annual increments</li><li>Opportunities for professional growth and development</li><li>A collaborative and innovative work environment</li></ul>Working Hours:<ul><li>12:00 PM &ndash; 9:00 PM</li></ul>We are excited to work with individuals who are passionate about making a meaningful impact through AI innovation. Apply today to be part of our journey!Job Type: Full-timeAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>What is your current salary?</li><li>What is your salary expectation?</li><li>Please note that this is an onsite position, and our standard operating hours are from 12 PM to 9 PM, Monday to Friday. Are you available and willing to work during these hours?</li></ul>Experience:<ul><li>AI/ML engineering: 3 years (Required)</li><li>FastAPI: 3 years (Required)</li><li>Python: 3 years (Required)</li></ul>Location:<ul><li>Lahore (Preferred)</li></ul>Work Location: In person

AI/ML Engineer with FastAPI Experience (3+ Years Required)

Explore 496+ Agentic ai engineer in Lahore this December. Find roles across top companies and apply now to boost your career.

496 agentic ai engineer jobs IN Lahore

Agentic AI Engineer

Senior Generative AI Engineer

Data Scientist

Data Scientist

Data Scientist

AI Engineer

AI/ML Engineer with FastAPI Experience (3+ Years Required)