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Digixvalley LLC

We are looking for a passionate and proactive Junior AI Engineer &ndash; Conversational AI &amp; RAG Systems with practical experience to join our AI development team. The ideal candidate should be eager to learn, experiment, and contribute to building intelligent conversational systems, RAG pipelines, and AI-powered customer service automation. You will assist in developing chatbots, managing vector databases, integrating LLMs, and optimizing real-time AI responses.Key Responsibilities:<ul><li>Assist in the development, testing, and deployment of AI chatbots using local and cloud-based LLMs.</li><li>Support in building RAG (Retrieval-Augmented Generation) systems, including vector search and semantic retrieval.</li><li>Work with Qdrant and embedding models to manage collections, vectors, and similarity search.</li><li>Help develop FastAPI endpoints for AI services and WhatsApp/other messaging integrations.</li><li>Participate in processing training data, embeddings, and conversation history pipelines.</li><li>Implement and refine LLM-based intent detection, response ranking, and fallback systems.</li><li>Collaborate on model optimization, prompt tuning, and improving response accuracy.</li><li>Assist in deploying real-time AI systems for customer service automation.</li><li>Contribute to knowledge base creation, FAQ structuring, and dynamic response generation.</li><li>Write clean, maintainable, and well-documented code for AI modules.</li><li>Stay updated on conversational AI, RAG methodologies, LLM improvements, and vector database innovations.</li><li>Support integrating AI services into cloud environments and multi-tenant architectures.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>0.5 &ndash; 2 years of experience working on AI/ML or chatbot projects.</li><li>Hands-on experience with LLMs (OpenAI, Ollama, Hugging Face) and prompt engineering.</li><li>Understanding of vector databases such as Qdrant, Pinecone, or ChromaDB.</li><li>Experience working with embedding models, semantic search, or RAG pipelines.</li><li>Proficiency in Python, especially FastAPI, async workflows, and API development.</li><li>Familiarity with supervised/unsupervised ML concepts and evaluation techniques.</li><li>Understanding of REST APIs, Git, and version control workflows.</li><li>Good analytical, debugging, and problem-solving skills.</li><li>Ability to work in a collaborative, fast-paced engineering environment.</li><li>Exposure to cloud platforms (AWS/GCP/Azure) for deploying AI applications.</li><li>Basic understanding of MLOps, retraining pipelines, or model monitoring.</li></ul>Job Type: Full-timeWork Location: In person

AI Engineer

Webrange Solutions

Webrange Solutions is a dynamic software development company that prides itself on it's team of talented and dedicated employees. We believe that our success is built on the skills and passion of our people. We are committed to providing our team with challenging and rewarding projects, ongoing training and development opportunities, and a collaborative and supportive work environment. We value creativity, innovation, and the ability to think outside the box, and we recognise and reward hard work and dedication.We are looking for passionate AI Engineer to join our team and gain hands-on experience in cutting-edge AI research and development. Join our team and be a part of creating cutting-edge technology that makes a difference in the world.Key Responsibilities<ul><li>Assist in designing, developing, and fine-tuning NLP and generative AI models (LLMs, embeddings, transformers).</li><li>Work with text datasets to preprocess, clean, tokenize, and analyze data for NLP applications.</li><li>Integrate OpenAI, Azure OpenAI, or similar LLM-based APIs into web and mobile applications.</li><li>Build and optimize prompt engineering workflows, embeddings-based search, RAG (Retrieval-Augmented Generation), and conversational AI systems.</li><li>Contribute to deploying NLP/LLM models, monitoring their performance, and improving response quality.</li><li>Research emerging AI and LLM technologies (OpenAI, Anthropic, Meta, Google, etc.) and present insights to the team.</li><li>Collaborate with developers and product teams to design intelligent AI-driven features and prototypes.</li></ul>Requirements<ul><li>Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>Solid understanding of NLP concepts: tokenization, attention mechanisms, transformers, embeddings, and text classification/generation.</li><li>Proficiency in Python and NLP/AI libraries such as HuggingFace Transformers, spaCy, NLTK, LangChain, or LlamaIndex.</li><li>Experience integrating OpenAI or Azure OpenAI APIs (ChatCompletions, Assistants, Embeddings, Fine-Tuning).</li><li>Familiarity with RAG pipelines, vector databases (Pinecone, FAISS, Weaviate, Chroma), and prompt engineering best practices.</li><li>Understanding of model evaluation techniques for NLP: BLEU, ROUGE, perplexity, embedding similarity, etc.</li><li>Experience with SQL/NoSQL databases is a plus.</li><li>Knowledge of cloud platforms (AWS, GCP, or Azure) and deploying AI workloads is a bonus.</li><li>Strong problem-solving skills and a passion for NLP and generative AI research.</li><li>Ability to work independently and collaboratively within cross-functional teams.</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs150,000.00 per monthWork Location: In person

Tech Solutions Pro

We&rsquo;re Hiring &ndash; AI Engineer (2&ndash;3 Years Experience)Location: OnsiteEmployment Type: Full-time---About the Role,We&rsquo;re looking for a passionate AI Engineer to join our team. You&rsquo;ll help implement AI in our products, client projects, and internal processes by designing, building, and deploying innovative AI solutions.---Key Responsibilities,Design, build, and deploy AI/ML models for real-world use cases.,Research and implement state-of-the-art AI techniques (NLP, Computer Vision, Generative AI, etc.).,Collaborate with teams to identify opportunities for AI-driven innovation.,Fine-tune and optimize models for performance and cost.,Develop APIs/microservices for AI model integration.,Monitor and maintain deployed models for scalability &amp; reliability.,Stay updated with the latest advancements in AI/ML.,---Requirements,2&ndash;3 years experience as an AI/ML Engineer, Data Scientist, or similar.,Strong in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn).,Experience with NLP, Computer Vision, or Generative AI.,Familiarity with cloud platforms (AWS, GCP, Azure).,Knowledge of APIs, Docker, Kubernetes for deployment.,Strong problem-solving and analytical skills.,---Nice to Have,Experience with LLMs (LangChain, Hugging Face, OpenAI APIs).,Knowledge of MLOps for deployment/monitoring AI systems.,Exposure to prompt engineering and fine-tuning LLMs.,---What We Offer,Work on cutting-edge AI projects across multiple domains.,A culture of innovation and continuous learning.,Competitive salary &amp; growth opportunities.,Collaborative environment with talented engineers.Job Type: Full-timePay: Rs100,000.00 - Rs120,000.00 per monthWork Location: In person

Contegris Pvt Ltd

About ContegrisContegris is a leading SaaS company dedicated to delivering Technology Solutions for a Delightful Customer Experience. Since 2012, weve been empowering over 300 enterprise clients across 20+ industries with our smart and scalable solutions. Our product suite includes an Omni-Channel Contact Center Platform (Intellicon), Helpdesk, Sales CRM, Unified Communication, WhatsApp Business API, and AI-powered self-service tools. With innovation at the core, we strive to enhance how businesses connect with their customers.Job Overview:We are seeking a motivated and detail-oriented AI Engineer to support the development, enhancement, and maintenance of our AI-driven products. The ideal candidate will have a strong foundation in machine learning, LLMs, AI tooling, and modern development practices. They must be able to understand existing codebases, debug issues, implement new features, and collaborate with the team to improve our AI systems. This role requires the ability to work with AI coding assistants (e.g., Claude), but with a solid understanding of the underlying logic, architecture, and algorithms to ensure code quality and maintainability.Key Responsibilities:<ul><li>Develop new features for our AI products across multiple modules and components.</li><li>Understand the architecture, workflows, and logic behind existing AI systems.</li><li>Debug issues, investigate model behavior, and provide support for already deployed AI features.</li><li>Enhance and improve existing AI functionalities to increase performance, accuracy, and scalability.</li><li>Use Claude as a development assistant while maintaining complete ownership and understanding of all produced code.</li><li>Integrate and fine-tune LLMs and AI tools based on product needs.</li><li>Collaborate with Product, QA, and Development teams to deliver high-quality releases.</li><li>Write clean, efficient, and well-documented code following engineering best practices.</li><li>Stay updated with the latest AI tools, frameworks, models, and industry trends.</li></ul>Qualification<ul><li>Strong foundational knowledge of Machine Learning, NLP, and LLM (Large Language Model) concepts.</li><li>1-2 years of experince working as AI Engineer</li><li>Hands-on experience with Python and common AI/ML libraries (TensorFlow, PyTorch, HuggingFace, LangChain, etc.).</li><li>Understanding of prompt engineering, retrieval-augmented generation (RAG), vector databases, and embeddings.</li><li>Ability to work with APIs (OpenAI, Anthropic Claude, Google GenAI, etc.).</li><li>Solid debugging and problem-solving skills for AI applications.</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) is a plus.</li><li>Understanding of version control (Git) and CI/CD workflows.</li><li>Ability to read, understand, and refactor code written with AI assistance tools.</li></ul>Preferred Tools &amp; Technologies<ul><li>LLMs &amp; AI Platforms: Claude, OpenAI GPT, HuggingFace, Google Vertex AI</li><li>Vector Databases: Pinecone, Weaviate, Milvus, Qdrant</li><li>Frameworks &amp; Libraries: LangChain, LlamaIndex, Transformers</li><li>ML Tools: Jupyter, Pandas, NumPy, Scikit-learn</li><li>DevOps &amp; Deployment: Docker, Linux basics, NGINX, FastAPI/Flask</li><li>Other Tools: Redis, MongoDB, ElasticSearch (optional)</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Expected Salary </li></ul>Work Location: In person

Indigo Textile Pvt. Ltd.

We&rsquo;re Hiring &ndash; AI EngineerIndigo Textile Pvt. Ltd is looking for fresh graduates from NUST and FAST who are passionate about AI, ML, and deep learning to join our team.If you&rsquo;ve worked on ML/DL/NLP projects, have a GitHub portfolio, or completed an AI-related FYP, we&rsquo;d love to hear from you.Apply at: hr@indigo.com.pkPort QasimJob Type: Full-timeWork Location: In person

MH Consultants

About us:Sumato Solutions is a full&#8209;stack digital&#8209;solutions provider offering custom software, web/mobile apps, AI/ML, cloud services, and more. They aim to deliver scalable and innovative digital solutions to clients globally. They emphasize a culture of teamwork, transparency, professionalism, and growth &mdash; giving employees room to learn and collaborate across various technologies.Key Responsibilities:&middot; Design, implement, and optimize machine learning / AI models to solve business and client problems.&middot; Work with cross&#8209;functional teams (backend, frontend, UI/UX, product managers) to integrate AI/ML capabilities into web/mobile applications.&middot; Preprocess and analyse data; build data pipelines if required; manage data inputs and outputs.&middot; Ensure scalability, reliability, and performance of AI/ML solutions in production environments.&middot; Stay updated on latest AI/ML research and practices and apply new algorithms/techniques as needed.&middot; Collaborate in code reviews, documentation, and maintenance of deployed models/systems.&middot; Collaborate work closely with data engineers, product managers, and developers to translate business needs into AI- driven solutions.Requirements:&middot; Minimum 1 or 1.5 years of hands-on experience in AI Engineer .&middot; Strong programming skills in Python; familiarity with Java, C++, or R is a bonus.&middot; Experience with AI/ML frameworks and libraries: TensorFlow, PyTorch, scikit-learn, Keras, OpenCV, etc.&middot; Ability to analyze large datasets and extract meaningful insights.&middot; Willingness to learn and adapt to emerging AI/ML technologies.&middot; Understanding of MLOps practices, version control (Git), and containerization (Docker/Kubernetes).Qualifications / Required Skills:&middot; Bachelor&rsquo;s (or higher) degree in Computer Science, Data Science, AI/ML, or relevant field.<ul><li>Proficiency in AI/ML frameworks and languages (e.g., Python, TensorFlow, PyTorch, scikit&#8209;learn, etc.).</li><li>Solid understanding of machine learning algorithms, data handling, model training, evaluation, and deployment.</li><li>Familiarity with web/mobile application development and APIs (so AI models can integrate into larger systems).</li><li>Strong problem&#8209;solving skills, analytical mindset, and ability to work in a team environment.</li><li>Good communication skills; ability to collaborate across teams (development, design, product).</li></ul>We Offer&middot; Competitive salary &amp; performance bonuses.&middot; Growth-oriented environment with mentorship&middot; Opportunity to work on high-impact projects&middot; Flexible working arrangements&middot; Continuous learning and upskilling opportunitiesHow to Apply&middot; Send your resume, portfolio/case studies, and relevant campaign results to: careers@sumatosolutions.comSubject Line: Performance Marketer &ndash; ApplicationJob Type: Full-timeWork Location: In person

Centrox AI

Location: Gulberg Greens, Islamabad Job Type: Full-timeJob SummaryWe are hiring an AI Engineer to design, build, and deploy machine learning solutions for real-world applications. The ideal candidate should be confident with ML/DL models, data pipelines, and production deployment practices.Key Responsibilities<ul><li>Develop and optimize machine learning and deep learning models.</li><li>Perform data preprocessing, feature engineering, and exploratory data analysis.</li><li>Deploy AI models using APIs, cloud services, or containerized environments.</li><li>Build scalable AI pipelines and automate workflows (MLOps).</li><li>Work on NLP, computer vision, or LLM-based systems depending on project needs.</li><li>Collaborate with cross-functional teams (DevOps, Backend, Product).</li><li>Prepare documentation, reports, and model performance evaluations.</li></ul>Required Skills &amp; ToolsTechnical Skills<ul><li>Strong understanding of Machine Learning algorithms &amp; Deep Learning concepts.</li><li>Hands-on experience with: Python, TensorFlow / PyTorch, Scikit-learn, Pandas, NumPy</li><li>Experience with NLP, Computer Vision, or LLMs (any specialization).</li><li>Practical knowledge of data pipelines, model training, fine-tuning, and evaluation.</li></ul>Tools &amp; Technologies<ul><li>Jupyter, Google Colab, or VS Code</li><li>Git / GitHub / GitLab</li><li>Docker (basic knowledge required)</li><li>Cloud platforms (AWS, Azure, GCP &ndash; basic experience is enough)</li><li>API Development (FastAPI or Flask)</li><li>Database basics (SQL, NoSQL)</li></ul>Experience Required<ul><li>1&ndash;3 years of experience in AI/ML Engineering</li><li>Strong internship + project portfolio (for fresh graduates)</li><li>Candidates with Kaggle, GitHub projects, hackathons, or published models/tools will be preferred.</li></ul>Preferred Qualifications <ul><li>Knowledge of MLOps tools (MLflow, DVC, Kubeflow).</li><li>Experience with LLM fine-tuning, embeddings, RAG pipelines, or vector databases.</li><li>Understanding of container orchestration (Kubernetes).</li><li>Any AI certifications (Coursera, Google, Udacity, etc.).</li></ul>What We Offer<ul><li>Competitive salary</li><li>Exposure to large-scale AI systems</li><li>Fast career growth opportunities</li><li>Mentorship from senior engineers</li><li>Friendly and learning-driven work environment</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How soon you can join?</li><li>What would be your salary expectations for this role?</li></ul>Experience:<ul><li>AI Related: 1 year (Preferred)</li></ul>Work Location: In person

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