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senior generative ai engineer

nlp engineer

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

DataDoers

<div>
 
 Company Description
 
 
 Data Doers is a team of Data &amp; AI experts dedicated to enabling AI Innovation and Advanced Analytics for Startups and SMEs. The company believes in the power of AI-powered data analytics to drive informed decisions, improve efficiency, drive customer insights, foster innovation, and boost revenue and competitiveness for businesses of all sizes.
 
 
 
 
 
 Role Description
 
 
 We are seeking a talented and driven Data Scientist/Machine Learning Engineer to join our dynamic team. In this role, you will be instrumental in developing and deploying cutting-edge Natural Language Processing (NLP) models to solve complex business problems. You will leverage your expertise in machine learning, deep learning, and NLP to design, implement, and optimize models for text classification, named entity recognition, information extraction, and other related tasks. You will collaborate closely with cross-functional teams, contribute to the entire machine-learning lifecycle, and ensure the scalability and reliability of our deployed solutions.
 
 
 
 
 
 
 
 Required Qualifications:
 
 <ul>
 <li>
 5+ years of experience in data science or machine learning.
 </li>
 <li>
 PhD or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 Proven experience in Natural Language Processing (NLP) and developing state-of-the-art (SOTA) models.
 </li>
 <li>
 Experience in advanced prompt engineering.
 </li>
 <li>
 Proficiency in Python and relevant libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
 </li>
 <li>
 Strong background in machine learning algorithms, data structures, and statistical methods.
 </li>
 <li>
 Familiarity with Azure/Google distributed computing.
 </li>
 <li>
 Strong knowledge of data preprocessing, data cleaning, and data augmentation techniques.
 </li>
 <li>
 Experience with model evaluation, validation techniques, and hyperparameter tuning.
 </li>
 <li>
 Strong problem-solving skills and a passion for continuous learning.
 </li>
 </ul>
 
 
 
 
 Incentives and Benefits:
 
 <ul>
 <li>
 Competitive Pay: Recognizing your expertise.
 </li>
 <li>
 Career Growth: Work with industry leaders, continuous learning.
 </li>
 <li>
 Tech Advancement: Exposure to cutting-edge AI in the International Market.
 </li>
 <li>
 Hybrid Work: Flexible work environment.
 </li>
 <li>
 Impactful Projects: Contribute to real-world solutions.
 </li>
 </ul>
 
 
 
</div>

Senior Machine Learning Engineer

ibex

<div>
 We are seeking a highly skilled and creative
 
 AI Agent Conversation Designer/Engineer
 
 to join our team and help shape the next generation of customer experience through intelligent virtual agents. This role sits at the intersection of
 
 conversation design, user experience, AI/NLP technologies, and CX strategy
 
 . You will be responsible for crafting natural, engaging, and effective conversations for AI-powered customer service bots, and for building the logic, flows, and backend integrations that power them.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and optimize conversational experiences across text, voice, and multimodal AI agents that serve customer-facing use cases.
 </li>
 <li>
 Collaborate with CX, product, and engineering teams to define intents, utterances, and dialogue flows aligned to business goals and customer needs.
 </li>
 <li>
 Use tools such as Dialogflow, Microsoft Bot Framework, Rasa, Kore.ai, or proprietary platforms to develop, test, and deploy virtual agents.
 </li>
 <li>
 Write natural, human-like copy that reflects brand voice while supporting task completion, escalation, and error handling.
 </li>
 <li>
 Analyze conversational data to continuously improve agent performance&mdash;tuning intents, training datasets, and optimizing flows.
 </li>
 <li>
 Integrate back-end systems and APIs to allow bots to handle dynamic requests (e.g., checking account status, processing returns, scheduling).
 </li>
 <li>
 Develop test cases and perform QA to ensure smooth, bug-free performance in production environments.
 </li>
 <li>
 Stay up to date with NLP, LLMs, and conversational AI innovations to inform ongoing development and optimization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Linguistics, UX Design, Human-Computer Interaction, AI, or a related field. Or equivalent on the job experience
 </li>
 <li>
 3+ years of experience in conversation design, chatbot development, or NLP engineering.
 </li>
 <li>
 Proficiency in one or more bot development platforms: Google Dialogflow, AWS Lex, Rasa, Kore.ai, Cognigy, etc.
 </li>
 <li>
 Familiarity with programming languages (e.g., Python, JavaScript) and basic API integration.
 </li>
 <li>
 Understanding of machine learning and natural language understanding (NLU) principles.
 </li>
 <li>
 Strong grasp of UX best practices, persona development, and user-centric design.
 </li>
 <li>
 Experience with LLM integration and prompt engineering (e.g., OpenAI, Anthropic, Cohere) is a strong plus.
 </li>
 <li>
 Excellent problem-solving, collaboration, and communication skills.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience designing for voice assistants (e.g., Alexa, Google Assistant).
 </li>
 <li>
 Knowledge of analytics platforms (e.g., Voiceflow, Dashbot, Botanalytics) for bot performance tracking.
 </li>
 <li>
 Familiarity with customer service domains such as e-commerce, telecom, healthcare, or fintech.
 </li>
 <li>
 Background in multilingual or multicultural experience design.
 </li>
 </ul>
</div>

AI Conversation Designer

Central Tech Services

Pexdel.com is a dynamic and innovative company delivering top-quality design, media, and digital solutions.About the Role: We are seeking a talented AI Developer with strong expertise in Prompt Engineering to design, optimize, and deploy AI-driven applications. You will be working on LLMs, NLP, automation tools, and AI product development for international projects.Responsibilities:<ul><li>Build &amp; deploy machine learning and AI models</li><li>Design, refine, and optimize prompts for LLMs (Prompt Engineering)</li><li>Work on NLP, automation &amp; AI-powered tools</li><li>Ensure scalability, performance &amp; accuracy of AI systems</li><li>Collaborate with cross-functional teams to integrate AI into products</li></ul>Requirements:<ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, AI, or related field</li><li>Hands-on experience in Prompt Engineering (must-have)</li><li>Proficiency in Python, TensorFlow, PyTorch, NLP, and LLMs</li><li>Strong problem-solving &amp; analytical skills</li><li>Prior experience in AI-driven products is a plus</li></ul>What We Offer:<ul><li>Market-competitive salary</li><li>Learning &amp; development opportunities</li><li>Exposure to international projects</li><li>Growth in a fast-paced AI &amp; digital solutions environment</li></ul>Location: Central Tower 2, Hali Road, Gulberg 3, Lahore Job Type: Full-time, Onsite Shift Timings: (3:00 PM &ndash; 12:00 AM, Monday to Friday)How to Apply: Apply directly on indeed or Send your CV to +92 328 1648517.Job Type: Full-timePay: Rs40,000.00 - Rs100,000.00 per monthWork Location: In person

AI Developer

Tkxel

<div>
 
 We are looking for a
 
 Generative AI Engineer
 
 with 3+ years of hands-on experience in building AI-driven applications. The ideal candidate will have strong expertise in
 
 machine learning, deep learning, and large language models (LLMs)
 
 , with a passion for applying GenAI to solve real-world problems. You will collaborate with product, data science, and engineering teams to design, fine-tune, and deploy generative AI models at scale.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 
 Design, fine-tune, and deploy
 
 LLMs and other generative AI models
 
 for production use cases.
 
 
 </li>
 <li>
 
 Work with
 
 transformer architectures
 
 (GPT, BERT, LLaMA, etc.) for text, image, or multimodal tasks.
 
 
 </li>
 <li>
 
 Build
 
 end-to-end pipelines
 
 for training, inference, and evaluation of AI models.
 
 
 </li>
 <li>
 
 Implement
 
 prompt engineering, RAG (Retrieval-Augmented Generation), and model optimization
 
 for improved performance.
 
 
 </li>
 <li>
 
 Integrate GenAI capabilities into
 
 web, mobile, or enterprise applications
 
 .
 
 
 </li>
 <li>
 
 Leverage frameworks such as
 
 LangChain, Hugging Face, TensorFlow, PyTorch
 
 .
 
 
 </li>
 <li>
 
 Collaborate with backend/frontend teams to develop
 
 APIs and services
 
 that serve AI models.
 
 
 </li>
 <li>
 
 Ensure AI solutions meet
 
 scalability, latency, and security
 
 requirements.
 
 
 </li>
 <li>
 
 Research and stay updated on the latest advancements in
 
 Generative AI, LLMOps, and ML infrastructure
 
 .
 
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI/ML, Data Science, or related field.
 
 
 </li>
 <li>
 
 
 3+ years of experience
 
 in machine learning, NLP, or AI development.
 
 
 </li>
 <li>
 
 Proficiency in
 
 Python
 
 and libraries like
 
 PyTorch, TensorFlow, Hugging Face Transformers
 
 .
 
 
 </li>
 <li>
 
 Solid understanding of
 
 LLMs, embeddings, vector databases (Pinecone, Qdrant, Weaviate, FAISS)
 
 .
 
 
 </li>
 <li>
 
 Experience with
 
 RAG pipelines, fine-tuning, or prompt engineering
 
 .
 
 
 </li>
 <li>
 
 Familiarity with
 
 cloud platforms
 
 (AWS, GCP, Azure) for ML deployment.
 
 
 </li>
 <li>
 
 Strong knowledge of
 
 APIs, microservices, and containerization (Docker, Kubernetes)
 
 .
 
 
 
 </li>
 </ul>
 
 Preferred Skills (Nice to Have)
 
 
 
 
 <ul>
 <li>
 
 Experience with
 
 LangChain / LlamaIndex
 
 for AI application orchestration.
 
 
 </li>
 <li>
 
 Knowledge of
 
 MLOps / LLMOps pipelines
 
 .
 
 
 </li>
 <li>
 
 Exposure to
 
 multimodal AI
 
 (text, image, speech).
 
 
 </li>
 <li>
 
 Hands-on experience with
 
 vector search optimizations
 
 .
 
 
 </li>
 <li>
 
 Contributions to
 
 open-source AI projects
 
 .
 
 
 </li>
 </ul>
</div>

GenAI Engineer

PAC College Private Limited

Job description:Requirements:Location: LahoreSalary: Market CompetitiveTerms of Employment: Full TimeStart date: As soon as possibleWe are seeking an AI Developer with strong expertise in machine learning, NLP (natural language processing), and development. You will lead the design and implementation of an AI-based paper marking and feedback system to enhance student assessment process.Key Responsibilities:&middot; Design and develop an AI-powered system for automated test marking and suggestion.&middot; Integrate NLP models to assess written answers and provide suggestions.&middot; Build both front-end and back-end components of the platform.&middot; Develop and maintain scalable APIs and data pipelines.&middot; Ensure high accuracy, fairness, and data privacy compliance.&middot; Monitor performance and continuously improve the AI models.Required Skills &amp; Qualifications:&middot; Bachelor&rsquo;s/Master&rsquo;s in Computer Science, AI, Data Science, or related field.&middot; 2&ndash;5 years of experience in AI/ML development and programming.&middot; Proficient in Pythonand JavaScript (React/Node.js).&middot; Experience with TensorFlow, PyTorch, and transformer-based NLP models.&middot; Knowledge of PostgreSQL and/or MongoDB.&middot; Familiarity with cloud platforms (AWS, Azure) and version control (Git).&middot; Exposure to OCR tools (e.g., Tesseract) is a plus.&middot; Understanding of ethical AI and agile methodologies.&middot; Familiarity with educational domain or assessment tools is a bonus.Current Salary: Please mention your current salary on your CV when applying for the positionJob Type: Full-timeWork Location: In personJob Type: Full-timeWork Location: In person

AI Software Developer

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

AI Engineer

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