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associate software engineer

generative ai engineer

92Techno

We are seeking a talented and innovative professional who is smart, resourceful, and deeply passionate about AI tools in Lahore to work at EST. This role requires a versatile builder&mdash;capable of developing frontends, backends, and occasionally contributing to design&mdash;to turn creative and unconventional ideas into reality.Preferred Toolkit Your expertise may include tools such as Claude, Cursor, Replit, MiniMax, GPTs, LangChain, or any other platforms you&rsquo;ve explored&mdash;whether during work hours or while experimenting late at night.Key Responsibilities<ul><li>Design and develop rapid prototypes using AI tools</li><li>Build and maintain both front-end and back-end applications (JavaScript, Python, React, etc.)</li><li>Integrate Large Language Models (LLMs) and APIs into applications</li><li>Conduct iterative testing, troubleshooting, and improvements</li><li>Contribute to design elements when necessary</li></ul>What We&rsquo;re Looking For<ul><li>Strong problem-solving skills and adaptability</li><li>Experience with both software development and AI integrations</li><li>A passion for experimenting with new tools and approaches</li><li>Creativity in applying AI to real-world challenges</li></ul>How to Apply Please share your updated resume with links to your GitHub, Replit, Cursor demo, or any portfolio showcasing your AI experiments. We welcome bold, inventive, and unconventional projects.Job Type: Full-timePay: Rs300,000.00 - Rs350,000.00 per monthWork Location: In person

Lead / Senior Generative AI Engineer

iTechNets

We are currently seeking a talented Generative AI engineer with strong expertise in AI and AI agent development to join our dynamic team. This is an exciting opportunity to work on groundbreaking projects and make a significant impact in the field of artificial intelligence and AI agents.The ideal candidate will have a strong background in Python, expertise in Generative AI, and a passion for developing and fine-tuning generative AI models. You will be responsible for creating innovative solutions, optimizing models, and deploying applications that leverage the power of AI.Key Responsibilities:<ul><li>Develop and implement Gen AI agents and models.</li><li>Fine-tune and optimize generative AI models for various applications.</li><li>Collaborate with cross-functional teams to design and develop AI-driven solutions.</li><li>Build and deploy applications using Python and Flask.</li><li>Conduct research and stay updated on the latest advancements in Generative AI and AI agents</li><li>Perform data analysis and preprocessing to support model development.</li><li>Troubleshoot and resolve technical issues related to AI models and applications.</li><li>Document and present findings, progress, and results to the team and stakeholders.</li></ul>Requirements:<ul><li>Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, or a related field.</li><li>Minimum of 5 years of experience in machine learning and AI</li><li>At least 3-4 years of experience in generative AI, including building AI agents</li><li>Strong proficiency in langchain, langgraph and other technologies.</li><li>Strong communication and collaboration skills.</li><li>Ability to work independently and as part of a team.</li><li>Extensive experience with AI agents and autonomous reasoning systems.</li><li>Hands-on expertise with LangChain, RAG, OpenAI API, or similar LLM-based frameworks.</li><li>Python proficiency (experience with FastAPI or Flask is a plus).</li><li>Strong understanding of prompt engineering and fine-tuning LLMs.</li><li>Strong problem-solving skills and ability to work independently.</li></ul>What We Offer:<ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and development.</li><li>A collaborative and innovative work environment.</li><li>Flexible working arrangements (remote/hybrid).</li><li>The chance to work on cutting-edge AI projects.</li></ul>Job Type: Full-timePay: Rs120,000.00 - Rs150,000.00 per monthWork Location: In person

Gen AI developer

Abaska Technologies

We are looking for an AI Engineer with 2-3 years of experience specializing in Data Science and Generative AI, particularly Large Language Models (LLMs) and Computer Vision. The ideal candidate will have a strong background in Python programming and experience with cloud platforms. You will work closely with our cross-functional teams to develop, deploy, and optimize AI models that solve complex problems and enhance user experiences.Key Responsibilities:Develop and Implement AI Models:Design and develop AI models focusing on Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents.Fine-tune pre-trained models and integrate RAG techniques to enhance model performance and relevance.Develop and deploy AI agents capable of autonomous decision-making and task execution.Data Management:Perform data collection, cleaning, and preprocessing.Conduct exploratory data analysis to uncover insights.Cloud Deployment:Deploy AI models on cloud platforms such as AWS, Azure, or Google Cloud.Optimize cloud resources for scalability and performance.Collaborate with Teams:Work closely with data scientists, engineers, and product managers.Participate in code reviews and contribute to team knowledge sharing.Stay Updated:Keep abreast of the latest developments in AI, machine learning, and data science.Experiment with new tools and technologies to improve existing solutions.Qualifications:Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.Technical Skills:Proficient in data science tools such as Pandas, NumPy, Scikit-Learn, and Jupyter Notebooks.Proficient in Python and familiar with libraries such as TensorFlow, PyTorch, or Keras.Experience with Generative AI models, Large Language Models, RAG techniques, and AI agents.Knowledge of machine learning algorithms and statistical analysis.Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI services.Experience with version control systems like Git.Experience with computer vision techniques, frameworks, and related tools such as OpenCV and TensorFlow Object Detection API.Familiarity with NVIDIA NIM tools for optimizing AI workflows.Additional Skills:Understanding of natural language processing (NLP) techniques.Experience with RESTful APIs and microservices architecture.Familiarity with containerization tools like Docker and orchestration tools like Kubernetes.Soft Skills:Strong problem-solving and analytical skills.Excellent communication and teamwork abilities.Ability to work in a fast-paced environment and manage multiple tasks.Eagerness to learn and adapt to new technologies.Job Type: Full-timeWork Location: In person

AI Engineer Python Developer - Data Science & Generative AI Specialist AI Engineer Python Developer

Harris Silicone & Glass Pvt. Ltd.

Junior Machine Learning / AI Engineer (Computer Vision &amp; Generative AI &ndash; LLMs)Location: On-siteExperience: 6 months &ndash; 1 yearType: Full-timeAbout the RoleWe&rsquo;re looking for a passionate Junior ML/AI Engineer with foundations in Computer Vision and Generative AI using Large Language Models (LLMs).You&rsquo;ll work on real-world AI systems combining visual intelligence (face recognition, detection, tracking) with language understanding and generation (LLM-based automation, chat systems, data agents).If you&rsquo;re excited by models like GPT, LLaMA, Mistral, or Claude, and love integrating vision + language to create smart systems &mdash; this role is for you!Key Responsibilities&middot; Build and optimize computer vision pipelines (detection, tracking, face recognition, etc.) using frameworks like OpenCV, YOLO, and InsightFace&middot; Develop LLM-powered applications (chatbots, summarizers, document understanding tools, etc.)&middot; Fine-tune and prompt LLMs (OpenAI GPTs, LLaMA, Mistral, Phi, etc.) for domain-specific use cases&middot; Integrate ML and LLM models into scalable backends (FastAPI, Flask)&middot; Collaborate on multimodal AI projects combining image and text intelligence&middot; Deploy models efficiently using Docker or ONNX Runtime&middot; Experiment with open-source models from Hugging Face and LangChain, LangGraphRequired Skills &amp; Tools&middot; Core ML &amp; AI:&middot; Python, NumPy, Pandas, Scikit-learn&middot; PyTorch or TensorFlow&middot; OpenCV, Mediapipe, InsightFace, YOLOv8Generative AI / LLMs:&middot; Hugging Face Transformers&middot; OpenAI API / Ollama / LLaMA / Mistral / Phi&middot; LangChain, LangGraph, LlamaIndex, or Haystack&middot; Prompt engineering and few-shot tuning&middot; Tokenization, embeddings, and retrieval-augmented generation (RAG)&middot; Knowledge of vector databases (FAISS, Chroma, Pinecone)Development &amp; Integration:&middot; FastAPI or Flask&middot; REST APIs, JSON, async programming&middot; Docker, Git, and basic CI/CD&middot; Bonus Skills (Nice to Have):&middot; Fine-tuning LLMs with LoRA or PEFT&middot; GPU usage (CUDA, cuDNN)&middot; Familiarity with MLOps tools (Weights &amp; Biases, MLflow, DVC)Qualifications&middot; Bachelor&rsquo;s degree in Computer Science, AI, Data Science, or related field&middot; 6 months &ndash; 1 year of practical experience (internship, research, or projects)&middot; Strong understanding of ML fundamentals and interest in generative AIWhy Join Us&middot; Work on real applied AI projects in vision and language&middot; Learn directly from senior AI engineers and researchers&middot; Gain experience with state-of-the-art LLM frameworks and tools&middot; Access to GPU-powered systems, real-world data, and production pipelines&middot; A collaborative, innovative, and growth-driven cultureApply Now: https://hsxtech.odoo.com/jobs/junior-ai-developer-22Job Type: Full-timeWork Location: In person

Junior Machine Learning / AI Engineer

Marketing Tech Sol

We&rsquo;re looking for a passionate AI/ML Engineer with hands-on experience in Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI. If you have a solid understanding of Computer Vision and experience deploying models on cloud platforms, we&rsquo;d love to meet you.Responsibilities<ul><li>Design, train, and fine-tune LLMs (such as GPT, BERT, LLaMA, etc.) for NLP tasks</li><li>Develop intelligent and creative solutions powered by Generative AI</li><li>Work on projects involving chatbots, summarization, sentiment analysis, and text classification</li><li>Optimize and deploy AI models using frameworks like TensorFlow, PyTorch, and Hugging Face</li><li>Apply computer vision algorithms for detection and recognition tasks</li><li>Deploy and manage models on AWS, Azure, or Google Cloud</li><li>Stay current with emerging AI research and technologies</li><li>Follow best practices in AI ethics, data privacy, and model security</li></ul>Requirements<ul><li>At least 2 years of experience in Machine Learning or AI-related work</li><li>Strong background in NLP, LLMs, and Generative AI</li><li>Skilled in Python and major ML libraries (TensorFlow, PyTorch, Hugging Face)</li><li>Understanding of Computer Vision and/or Reinforcement Learning is a plus</li><li>Cloud experience (AWS, Azure, or GCP) for model deployment</li><li>Familiarity with MLOps, Docker, Kubernetes, and CI/CD pipelines</li><li>Knowledge of LangChain and LangGraph frameworks preferred</li><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Data Science, or related field</li></ul>CompensationStarting salary ranges from Rs. 95,000 to Rs. 120,000 per month, based on skills and experience.How to ApplyEmail: advitandhealthsol@gmail.com WhatsApp: 03126155418Job Type: Full-timePay: From Rs95,000.00 per monthWork Location: In person

Senior AI / Machine Learning Engineer

MESI Group

We are looking for IT colleagues who are passionate about generative AI and machine learning, while maintaining a practical perspective on its application. You understand both the technological possibilities and limitations, and can distinguish hype from value.As an AI Engineer, you listen to users, build intelligent solutions, and clearly explain what AI can achieve. You quickly see how LLMs and machine learning can make a difference &mdash; from document processing and content generation to systems that support customers.Building a safe and usable AI application is not trivial.Key Responsibilities:<ul><li>Working with advanced technologies: Python, PyTorch, TensorFlow, Transformers (GPT), MS Copilot, High Performance Computing, Claude, Gemini, LLaMA, and more.</li></ul><ul><li>Researching how AI can be applied in a desirable, feasible, and safe manner within business processes, maintaining active and transparent dialogue with all stakeholders.</li></ul><ul><li>Collaborating with IT teams and other stakeholders to identify and implement LLM-driven solutions for business processes (e.g., intelligent chatbots, summarizing specialized documents, automated reporting).</li></ul><ul><li>Developing, training, optimizing, and managing neural networks and other machine learning models, both in the cloud and on on-premise HPC infrastructure.</li></ul><ul><li>Ensuring compliance with data protection and privacy regulations (e.g., GDPR) and ethical AI principles (EU AI Act).</li></ul><ul><li>Staying up to date with the latest developments in LLMs, Generative AI, and MLOps practices to guide infrastructure and service development</li></ul>Requirements:<ul><li>Master&rsquo;s degree in Artificial Intelligence, Data Science, Computer Science, or a related field, or equivalent experience.</li></ul><ul><li>Preferably 5 years of professional ICT experience with broad and deep knowledge of AI technologies, machine learning, and data analysis.</li></ul><ul><li>Practical experience implementing and managing LLMs (e.g., BERT, GPT, LLaMA) in production environments.</li></ul><ul><li>Skilled in MLOps tools (e.g., Kafka, MLflow, Kubeflow, Airflow) or willing to learn them.</li></ul><ul><li>Experience with on-premise infrastructure, including containerization (e.g., Docker, Kubernetes) and hardware optimization (e.g., GPU clusters).</li></ul><ul><li>Knowledge of CI/CD pipelines and version control systems (e.g., Jenkins, Git).</li></ul><ul><li>Strong understanding of data protection, privacy, and ethical AI considerations</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Current Salary?</li><li>Expected Salary?</li><li>When can you join?</li><li>Portfolio Links</li></ul>Work Location: In person

Generative AI & ML Expert

Force Cloud LLC

We&rsquo;re looking for a Senior AI/ML Engineer to join our growing AI services company as a foundational technical leader. You&rsquo;ll design and build production-grade AI/ML solutions across computer vision, NLP, and generative AI, while mentoring and leading a team as we scale.What You&rsquo;ll Do :&#9679; Architect and develop end-to-end AI/ML solutions from data processing to deployment, across diverse domains (vision, NLP, GenAI, predictive systems).&#9679; Design scalable pipelines, implement best practices, and set engineering standards.&#9679; Guide algorithm/model selection, review code, debug complex issues, and make key technical decisions.&#9679; Mentor and upskill junior engineers, fostering a strong learning and innovation culture.&#9679; Collaborate with clients and cross-functional teams to define solutions that are robust, accurate, and scalable.&#9679; Stay ahead of industry trends and emerging technologies to keep our solutions cutting-edge.What You Bring: &#9679; 5+ years of hands-on experience building and deploying ML models in production. &#9679; Strong expertise in:&#9675; Computer Vision &ndash; CNNs, OpenCV, TensorFlow/PyTorch, transfer learning, detection/segmentation models.&#9675; NLP &ndash; Transformers (BERT, T5, GPT), tokenization, embeddings, HuggingFace, spaCy/NLTK.&#9675; Generative AI &ndash; LLM orchestration (LangChain), RAG, chatbots, prompt engineering, vector DBs (FAISS/Pinecone).&#9679; Solid ML foundations (classical algorithms, feature engineering, evaluation) with Python, Scikit-learn, XGBoost/LightGBM.&#9679; Deployment experience on AWS/Azure/GCP, FastAPI/Flask, Docker/Kubernetes, CI/CD, and MLOps best practices.&#9679; Excellent communication, problem-solving, and mentorship abilities with a track record of guiding teams technically.Nice to Have&#9679; Startup or consulting experience handling multiple AI projects simultaneously&#9679; Experience with real-time inference, model optimization (quantization/pruning), or edge deployment&#9679; Contributions to open-source or published work in AI/MLJob Type: Full-timeWork Location: In person

Senior AI / ML Engineer

Explore 495+ Generative ai engineer in Lahore this October. Find roles across top companies and apply now to boost your career.