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intelligence engineer

Corecentrix Business Solution 

About the RoleWe are building a next-generation multi-tenant SaaS CRM platform designed to automate communication, boost lead intelligence, and deliver AI-driven insights for sales and support teams.We&rsquo;re looking for an AI Engineer with 1&ndash;2 years of hands-on ML/NLP experience who is excited to build intelligent workflows, automation layers, and chatbot-driven experiences for a high-scale production environment.What You&rsquo;ll Work On:<ul><li>Build and fine-tune conversational chatbots for CRM workflows and customer engagement.</li><li>Develop automation pipelines for summarization, lead scoring, recommendations, and agent assistance.</li><li>Implement NLP/NLU components: classification, entity extraction, sentiment analysis, context handling.</li><li>Design and maintain vector embeddings, similarity search, and RAG-based retrieval layers.</li><li>Integrate AI models with backend systems (Node.js/Next.js, REST APIs, event-driven automation).</li><li>Optimize prompts, model routing, and structured outputs for accuracy and consistency.</li><li>Build monitoring tools to reduce hallucinations and track model performance.</li><li>Support internal tools for data cleaning, labeling, and QA automation.</li><li>Develop scalable inference pipelines for cloud or serverless environments.</li><li>Collaborate across product, backend, and frontend teams to shape user-facing AI features.</li></ul>What We&rsquo;re Looking For<ul><li>1&ndash;2 years of experience in Machine Learning, NLP, or Applied AI.</li><li>Strong Python skills (FastAPI/Flask), transformer models, embeddings, NLP pipelines.</li><li>Experience with LLMs and vector databases (Pinecone, Weaviate, pgvector, Qdrant).</li><li>Familiarity with OpenAI/Anthropic/HuggingFace APIs.</li><li>Strong understanding of prompt engineering and LLM workflow design.</li><li>Experience with asynchronous queues (BullMQ, Redis) and event-based systems.</li><li>Knowledge of preprocessing, tokenization, and fine-tuning smaller ML models.</li><li>Solid debugging skills and ability to optimize inference for performance and cost.</li><li>Comfort with Git, CI/CD, and collaborative development workflows.</li></ul>Nice to Have<ul><li>Experience building chatbots for CRM, sales, or support.</li><li>Knowledge of RAG systems and memory components.</li><li>Exposure to multi-tenant SaaS architecture.</li><li>Experience with analytics, behavioral data, and model evaluation frameworks.</li><li>Interest in autonomous agents, workflow orchestration, or AI dashboards.</li></ul>Job Type: Full-timePay: From Rs100,000.00 per monthApplication Question(s):<ul><li>Are you willing to work on-site in the night shift from 6:00 PM to 3:00 AM? If not, you will not be shortlisted for this role</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>relevant: 1 year (Preferred)</li></ul>Work Location: In person

AI Engineer

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

Axix Technologies

About the RoleAxix Technologies is hiring a high-potential AI Engineer Intern to work on production-grade Computer Vision, AI Agents, and end-to-end AI platforms. This role is not research-only&mdash;you&rsquo;ll build, deploy, optimize, and scale real systems used in live environments. Top performers will be offered a full-time position.Core Responsibilities<ul><li>Develop person detection &amp; tracking systems using YOLO, DeepSORT, ByteTrack</li><li>Build real-time video analytics pipelines</li><li>Design and deploy AI Agents &amp; agent workflows</li><li>Implement ML/DL model optimization (quantization, distillation, pruning)</li><li>Deploy models using OpenVINO / ONNX Runtime</li><li>Containerize services using Docker</li><li>Build microservices-based AI backends</li><li>Deploy and manage workloads on Kubernetes</li><li>Develop full-stack interfaces for AI systems (dashboards, APIs)</li><li>Integrate AI workflows using n8n automation</li></ul>Required Skills (Indeed SEO Optimized)<ul><li>Strong fundamentals in Computer Vision, ML &amp; Deep Learning</li><li>Hands-on with person detection &amp; tracking (DeepSORT, YOLO, OpenCV)</li><li>Experience with PyTorch / TensorFlow</li><li>Knowledge of AI Agents, Agent Orchestration &amp; Agent Flows</li><li>Familiarity with Cursor / AI-assisted IDEs</li><li>Experience with Docker &amp; containerized deployments</li><li>Understanding of microservices architecture</li><li>Basic working knowledge of Kubernetes (K8s)</li><li>Experience building REST APIs (FastAPI / Flask / Node.js)</li><li>Exposure to full-stack development (React/Vue + backend)</li><li>Strong Python skills (mandatory)</li></ul>Nice to Have<ul><li>MLOps basics (CI/CD, model versioning)</li><li>Edge AI or camera-based systems</li><li>LLMs, LangChain, RAG pipelines</li><li>Cloud platforms (AWS / GCP / Azure)</li></ul>What You&rsquo;ll Get<ul><li>PKR 20,000 monthly stipend</li><li>Work on enterprise-scale AI &amp; surveillance platforms</li><li>Exposure to real-time, high-load AI systems</li><li>Mentorship from senior AI &amp; systems architects</li><li>Clear career path to full-time AI Engineer</li><li>Hands-on experience with modern AI + DevOps stack</li></ul>How to ApplyEmail: careers@axixtechnologies.com WhatsApp/Call: 0300-1119405 Office: 138D1, Main Boulevard, Gulberg III, LahoreSubject: AI Engineer Intern &ndash; Computer Vision &amp; Full-StackJob Type: Full-timePay: Rs20,000.00 per monthWork Location: In person

AI Engineer Intern (Computer Vision | AI Agents | Full-Stack | MLOps)

Simcoe IT

We are looking for a motivated AI Engineer / API Integrator to join our growing AI development team. The ideal candidate will have hands-on experience in Python, API integration, and LangChain frameworks. You will be responsible for connecting and optimizing external AI and NLP APIs to power next-generation, multi-modal AI solutions.Key Responsibilities<ul><li>Integrate and manage external AI and NLP APIs within the AI Processing Router Engine.</li><li>Design and maintain query routing pipelines for text, image, and video workflows.</li><li>Test and optimize API performance and latency across different AI layers.</li><li>Handle API token management, authentication, and security.</li><li>Collaborate with backend engineers to ensure stable and scalable integration.</li></ul>Required Skills &amp; Experience<ul><li>2 years of hands-on experience with Python programming.</li><li>Solid understanding of LangChain, LLM workflows, and prompt optimization.</li><li>Proven ability in API integration (REST / GraphQL) and data handling.</li><li>Familiarity with AI model deployment and multi-modal (text / image / video) data routing.</li><li>Strong debugging, analytical, and documentation skills.</li></ul>Apply at: haroon@searchopal.com Or share CV via WhatsApp: 0337-9928258Job Type: Full-timePay: Rs80,000.00 - Rs90,000.00 per monthWork Location: In person

AI Engineer / API Integrator

Expert System Solution

About the RoleWe are seeking a Senior AI/ML Engineer with strong technical expertise and exceptional communication skills. The ideal candidate must be a closer, someone who can take ownership, deliver results, and confidently drive AI/ML solutions from concept to deployment.Key Responsibilities<ul><li>Design, develop, and deploy end-to-end AI/ML models and data pipelines.</li><li>Build predictive models, NLP solutions, and deep learning architectures.</li><li>Collaborate with cross-functional teams to understand business needs and deliver practical AI solutions.</li><li>Optimize model performance, scalability, and accuracy.</li><li>Conduct research on latest AI trends and implement relevant advancements.</li><li>Present findings, models, and results clearly to technical and non-technical stakeholders.</li><li>Lead critical problem-solving discussions and ensure timely closure of tasks.</li></ul>Requirements<ul><li>4+ years of hands-on experience in Machine Learning, AI model development, and data engineering.</li><li>Strong expertise in Python, TensorFlow/PyTorch, Scikit-Learn, NLP, Deep Learning, and Cloud (AWS/GCP/Azure).</li><li>Solid understanding of data structures, algorithms, statistical modeling, and MLOps frameworks.</li><li>Proven experience in building production-grade AI solutions.</li><li>Exceptional communication skills (must be able to explain complex ideas with clarity).</li><li>A results-driven mindset, must be a closer who takes ownership and delivers.</li></ul>Nice to Have<ul><li>Experience with LLMs, Generative AI, and model fine-tuning.</li><li>Experience in API integrations and microservices.</li><li>Exposure to data visualization tools and dashboards.</li></ul>Job Type: Full-timeWork Location: In person

AI/ML Engineer

MH Consultants

About us:Sumato Solutions is a full‑stack digital‑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‑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‑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‑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

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

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315 intelligence engineer jobs IN Lahore

AI Engineer

AI Engineer

AI Engineer Intern (Computer Vision | AI Agents | Full-Stack | MLOps)

AI Engineer / API Integrator

AI/ML Engineer

AI Engineer

AI Engineer