chatbot developer

ACEM Pakistan

<p><b>Job Summary:</b></p><p>We are seeking a passionate and knowledgeable <b>AI Chatbot Development Instructor</b> to train learners in designing, building, and deploying intelligent chatbots using generative AI tools. The ideal candidate will have hands-on experience with AI platforms such as <b>ChatGPT, Dialogflow, Microsoft Bot Framework, or similar</b> tools, and the ability to simplify complex concepts for students with varying technical backgrounds.</p><p><b>Key Responsibilities:</b></p><ul><li>Deliver engaging, hands-on training sessions on <b>AI chatbot creation, prompt engineering, and conversational design</b>.</li><li>Develop comprehensive <b>course materials</b>, including presentations, assignments, and project guidelines.</li><li>Teach students to use popular chatbot development platforms and <b>no-code/low-code AI tools</b>.</li><li>Demonstrate real-world chatbot applications in <b>customer service, education, and business automation</b>.</li><li>Mentor students through practical projects and evaluate their chatbot prototypes.</li><li>Stay updated with the latest <b>AI advancements</b> and incorporate new tools or techniques into training.</li><li>Collaborate with the academic team to continuously improve course content and delivery methods.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor&rsquo;s degree in <b>Computer Science, AI, Data Science, or a related field</b> (Master&rsquo;s preferred).</li><li>Proven experience in <b>chatbot development</b>, <b>AI tool training</b>, or <b>conversational AI</b>.</li><li>Familiarity with <b>Generative AI (e.g., GPT models, LLaMA, Claude, etc.)</b>.</li><li>Strong knowledge of <b>prompt engineering and AI ethics</b>.</li><li>Excellent communication, presentation, and mentoring skills.</li><li>Experience using platforms like <b>ChatGPT, Dialogflow, Botpress, or Rasa</b> is highly desirable.</li></ul><p><b>Preferred Skills:</b></p><ul><li>Knowledge of <b>Python</b>, <b>APIs</b>, or <b>Natural Language Processing (NLP)</b>.</li><li>Understanding of <b>AI automation tools</b> and <b>integration with messaging apps</b> (e.g., WhatsApp, Slack).</li><li>Creativity in designing interactive and learner-focused sessions.</li></ul><p>Job Type: Contract<br/>Contract length: 2 months</p><p>Pay: Rs500.00 - Rs1,500.00 per hour</p><p>Expected hours: 4 per week</p><p>Work Location: In person</p>

AI Chatbot Development Instructor

Impetus Technologies

<p></p><div><div><div><div><div><div><div><p>Hyderabad, Telangana, India;Bangalore, Karnataka, India;Indore, Madhya Pradesh, India;Noida, Uttar Pradesh, India</p></div></div></div><div><div><div><br>
</div></div></div></div></div></div><div><div><div><div><div><div><div><div><p>
Qualification</p><div>
:</div></div><div><div><p><br>
About the Role</p>
<p>We are looking for an engineer with strong experience in building, deploying, and scaling chatbot solutions on AWS. The role involves working closely with product and engineering teams to design conversational AI systems that are secure, scalable, and integrated with enterprise applications.</p>
<p>Key Responsibilities</p>
<p>Design, develop, and deploy chatbot solutions leveraging AWS services (Lambda, API Gateway, DynamoDB, S3, etc.).<br>
Integrate chatbots with enterprise applications (CRM, HRMS, custom apps, etc.).<br>
Build NLP workflows, conversation flows, and handle fall/error strategies.<br>
Implement monitoring, logging, and analytics to track chatbot performance.<br>
Ensure security, scalability, and high availability of deployed solutions.<br>
Collaborate with product managers, UX designers, and data scientists to improve conversational experiences.<br>
Optimize costs and performance of chatbot workloads on AWS.<br>
Required Skills</p>
<p>Strong hands-on experience with AWS services (Lambda, S3, DynamoDB, CloudWatch, API Gateway, IAM).<br>
Machine Learning and Artificial Intelligence<br>
Proficiency in at least one programming language (Python, Node.js, or Java).<br>
Experience with NLP / conversational AI frameworks (Rasa, Dialogflow, or similar).<br>
Knowledge of API integrations (REST, GraphQL, Webhooks).<br>
Understanding of CI/CD pipelines (CodePipeline, GitHub Actions, Jenkins).<br>
Familiarity with cloud security best practices and IAM policies.<br>
Knowledge of FastAPI, Flask or other API development frameworks<br>
AI Agents knowledge<br>
Nice to Have</p>
<p>Experience with Generative AI (Amazon Bedrock, OpenAI APIs, Anthropic Claude, etc.).<br>
Familiarity with front-end integration (React, Angular, mobile apps, WhatsApp/Slack/Teams bots).<br>
Exposure to MLOps or deploying custom NLP models.<br>
Knowledge of analytics platforms for chatbot performance (Amazon Kendra, QuickSight, or third-party).</p>
</div></div></div></div></div><div><div><div><div><p>
Experience</p><div>
:</div></div><div><p>
7 to 12 years</p></div></div></div></div><div><div><div><div><p>
Job Reference Number</p><div>
:</div></div><div><p>
13295</p></div></div></div></div><div><div><div><div><p>
Skills Required</p><div>
:</div></div><div><p>
Sagemaker</p></div></div></div></div><div><div><div><div><p>
Role</p><div>
:</div></div><div><div><p><br>
About the Role</p>
<p>We are looking for an engineer with strong experience in building, deploying, and scaling chatbot solutions on AWS. The role involves working closely with product and engineering teams to design conversational AI systems that are secure, scalable, and integrated with enterprise applications.</p>
<p>Key Responsibilities</p>
<p>Design, develop, and deploy chatbot solutions leveraging AWS services (Lambda, API Gateway, DynamoDB, S3, etc.).<br>
Integrate chatbots with enterprise applications (CRM, HRMS, custom apps, etc.).<br>
Build NLP workflows, conversation flows, and handle fall/error strategies.<br>
Implement monitoring, logging, and analytics to track chatbot performance.<br>
Ensure security, scalability, and high availability of deployed solutions.<br>
Collaborate with product managers, UX designers, and data scientists to improve conversational experiences.<br>
Optimize costs and performance of chatbot workloads on AWS.<br>
Required Skills</p>
<p>Strong hands-on experience with AWS services (Lambda, S3, DynamoDB, CloudWatch, API Gateway, IAM).<br>
Machine Learning and Artificial Intelligence<br>
Proficiency in at least one programming language (Python, Node.js, or Java).<br>
Experience with NLP / conversational AI frameworks (Rasa, Dialogflow, or similar).<br>
Knowledge of API integrations (REST, GraphQL, Webhooks).<br>
Understanding of CI/CD pipelines (CodePipeline, GitHub Actions, Jenkins).<br>
Familiarity with cloud security best practices and IAM policies.<br>
Knowledge of FastAPI, Flask or other API development frameworks<br>
AI Agents knowledge<br>
Nice to Have</p>
<p>Experience with Generative AI (Amazon Bedrock, OpenAI APIs, Anthropic Claude, etc.).<br>
Familiarity with front-end integration (React, Angular, mobile apps, WhatsApp/Slack/Teams bots).<br>
Exposure to MLOps or deploying custom NLP models.<br>
Knowledge of analytics platforms for chatbot performance (Amazon Kendra, QuickSight, or third-party).</p></div></div></div></div></div></div></div></div></div></div><p></p>

Generative AI Engineer (Module Lead/Lead)

Binance

<div><span style="font-size: 13px;">The role is critical for delivering production-grade AI applications that enhance user experience, automate workflows, and power intelligent user interactions.</span></div>  <div> <div><b> Responsibilities </b><ul> <ul> <li>Oversee the entire AI bot project from planning, implementation, maintenance and tuning.</li> <li>Design and implement AI agent architectures that can understand user requests, reason through complex problems, and execute multi-step plans</li> <li>Build frameworks for AI agents to interact with various tools, APIs, and services</li> <li>Create mechanisms for effective human-AI collaboration, including clarification, feedback, guidance and follow-up questions</li> <li>Optimize agent performance for reliability, accuracy, and efficiency</li> <li>Build monitoring and evaluation systems to assess agent performance and identify areas for improvement</li> <li>Collaborate with cross-functional teams to integrate agents into products and workflows</li> <li>Stay updated with the latest research and developments in AI agent technology</li> </ul> </ul> </div> </div> <div> <div> Requirements <ul> <ul> <li>Bachelor s or Master s degree in Computer Science, AI, or related field</li> <li>3+ years of experience building AI/ML systems, with a proven track of building production-grade AI applications (prefer in autonomous agents)</li> <li>Strong programming skills, particularly in Python, Java</li> <li>Practical experience with large language models (e.g., GPT, Claude, Gemini, Deepseek), prompt engineering, MCP, RAG etc.</li> <li>Understanding of reinforcement learning, planning algorithms, and decision-making systems</li> <li>Familiarity with tools, APIs, and infrastructure needed for agent deployment</li> <li>Experience with workflow orchestration and system design</li> <li>Excellent problem-solving and analytical thinking skills</li> <li>Strong communication and collaboration abilities</li> </ul> </ul> </div> </div> <div> <div> Preferred Skills <ul> <ul> <li>Conduct at least one AI chatbot/agent application using Dify / LangChain or similar framework</li> <li>Experience in CS chatbot development, like user intend recognition, conversation, and knowledge base enhancement</li> <li>Familiar with data analysis, model tuning through data cleaning and feature engineering</li></ul></ul></div></div>

AI Application Software Engineer

Grand Technology

<p><strong>Location:</strong> El Sheikh Zayed – Beverly Hills<br><strong>Company:</strong> Grand Technology<br><strong>Employment Type:</strong> Full-Time - Onsite&nbsp;<br>&nbsp;</p><h3><strong>About the Role</strong><br>&nbsp;</h3><p>Grand Technology is seeking a highly skilled and innovative <strong>Senior AI &amp; Automation Engineer</strong> to lead the design, development, and deployment of <strong>Generative AI solutions, intelligent chatbots, and automation frameworks</strong>. This role is pivotal in driving our digital transformation initiatives, enhancing customer experiences, and streamlining operations through cutting-edge AI and automation technologies.<br>&nbsp;</p><h3><strong>Key Responsibilities</strong><br>&nbsp;</h3><h4><strong>AI &amp; GenAI Development</strong></h4><p>&nbsp;</p><ul><li>Design, build, and optimize Generative AI models (LLMs, NLP, text, and multimodal AI) for business use cases.</li><li>Develop scalable AI pipelines for training, fine-tuning, and deploying models.</li><li>Research and implement the latest advancements in transformers, RAG (Retrieval Augmented Generation), and conversational AI.</li></ul><p>&nbsp;</p><h4><strong>Chatbot &amp; Conversational AI</strong></h4><p>&nbsp;</p><ul><li>Architect, develop, and maintain chatbots and virtual assistants using advanced NLP and AI frameworks.</li><li>Integrate chatbots with enterprise systems (CRM, ERP, HRMS, etc.) for end-to-end process automation.</li><li>Continuously improve conversational flows, intent recognition, and user engagement.</li></ul><p>&nbsp;</p><h4><strong>Automation &amp; Process Optimization</strong></h4><p>&nbsp;</p><ul><li>Lead automation initiatives across business processes using RPA, AI-driven decision systems, and workflow orchestration tools.</li><li>Collaborate with business stakeholders to identify automation opportunities that deliver measurable ROI.</li><li>Ensure high availability, security, and scalability of automation platforms.</li></ul><p>&nbsp;</p><h4><strong>Collaboration &amp; Leadership</strong></h4><p>&nbsp;</p><ul><li>Partner with cross-functional teams (Product, Data, Operations, IT) to align AI and automation initiatives with business goals.</li><li>Mentor junior engineers and guide them on best practices in AI/ML engineering and automation.</li><li>Prepare technical documentation, PoCs, and presentations for both technical and business stakeholders.</li></ul><p>&nbsp;</p><h3><strong>Requirements</strong></h3><p>&nbsp;</p><ul><li>Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.</li><li>5+ years of experience in AI/ML engineering and automation solutions.</li><li>Proven hands-on experience with:</li><li><strong>GenAI / LLMs</strong> (OpenAI, Anthropic, Hugging Face, LangChain, RAG pipelines).</li><li><strong>NLP frameworks</strong> (spaCy, NLTK, Transformers).</li><li><strong>Chatbot platforms</strong> (Dialogflow, Rasa, Microsoft Bot Framework, custom-built AI assistants).</li><li><strong>Automation tools</strong> (UiPath, Automation Anywhere, Power Automate, or custom Python automation).</li><li>Strong programming skills in <strong>Python</strong>.</li><li>Experience with cloud platforms (<strong>AWS, Azure, GCP</strong>) and <strong>MLOps practices</strong> (CI/CD, model monitoring, Docker containerization).</li><li>Solid understanding of data engineering and integration with APIs and databases.</li><li>Strong problem-solving, analytical, and communication skills.</li></ul>

Senior AI & Automation Engineer

Soft Blue Ocean

<p><b>Description</b></p><p>We are looking for a <b>Backend Developer</b> who is passionate about building scalable systems, deploying to the cloud, and integrating AI/chatbot technologies.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and maintain backend services using <b>Django &amp; Django REST Framework</b>.</li><li>Implement and optimize APIs for mobile and web applications.</li><li>Deploy and manage backend services on <b>cloud platforms</b> such as AWS, Oracle Cloud, or similar.</li><li>Integrate <b>AI models and chatbots</b> into backend workflows.</li><li>Work on <b>WhatsApp and other third-party integrations</b> for messaging and automation.</li><li>Collaborate with frontend and mobile developers to deliver seamless end-to-end solutions.</li><li>Ensure security, scalability, and performance of backend services.</li></ul><p><b>Requirements</b></p><ul><li><b>Hands-on experience</b> with <b>Django framework</b> and Django REST Framework.</li><li>Strong knowledge of <b>cloud deployment</b> (AWS, Oracle, or equivalent platforms).</li><li>Experience with <b>AI/chatbot frameworks</b> and <b>WhatsApp API integration</b>.</li><li>Solid understanding of relational databases (MySQL, PostgreSQL) and caching tools (Redis).</li><li>Familiarity with containerization (Docker/Kubernetes) is a plus.</li><li>Strong debugging, problem-solving, and communication skills.</li><li>Minimum <b>3 years of professional backend development experience</b>.</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>	&bull;	How many years of professional experience do you have working with the Django framework?</li><li>What is your level of experience with AI models or chatbot development? (e.g., Rasa, Dialogflow, LLM integration, custom NLP solutions).</li><li>Have you worked on WhatsApp Business API or chatbot integrations? If yes, please share details.</li><li>Which cloud platforms have you deployed applications on (e.g., AWS, Oracle Cloud, Azure, GCP)?</li><li>What is your faculty and university?</li><li>What is your expected monthly salary in EGP?</li></ul>

Backend Developer (Django, Cloud, AI/Chatbots) – Remote

IBL UNISYS

<p><b>Full Stack Developer </b></p><p><b>Department:</b> Digital Transformation / Technology Innovation</p><p><b>Location:</b> Karachi, Pakistan (On-site)</p><p><b>Experience Required:</b> 4+ Years</p><p><b>Job Summary:</b></p><p>We are seeking a Full Stack Developer with 4 years of hands-on experience in the <b>MERN stack (MongoDB, Express.js, React.js, Node.js)</b> along with <b>Python</b> and exposure to <b>AI technologies</b>. The ideal candidate will play a key role in building smart, scalable digital applications including AI-powered features such as chatbots, recommendation engines, and automation tools for our pharma, logistics, retail, and food businesses.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop responsive and scalable web applications using React.js, Node.js, and Express.js</li><li>Build backend services using Python and integrate machine learning models into digital products</li><li>Design and integrate RESTful APIs and microservices with internal systems (ERP, POS, etc.)</li><li>Collaborate with data scientists to implement AI use cases like classification, forecasting, or NLP</li><li>Assist in developing or integrating chatbot solutions (e.g., for customer service or order tracking)</li><li>Participate in Agile development cycles, sprint planning, and code reviews</li><li>Ensure code quality, performance, and security best practices</li><li>Document application flows, APIs, and architecture</li></ul><p><b>Required Technical Skills:</b></p><p><b>Frontend:</b></p><ul><li>React.js, Redux, Tailwind CSS / Bootstrap</li><li>HTML5, CSS3, JavaScript/TypeScript</li></ul><p><b>Backend:</b></p><ul><li>Node.js with Express.js</li><li>Python (Flask, FastAPI, or Django)</li></ul><p><b>Databases:</b></p><ul><li>MongoDB, PostgreSQL, MySQL</li></ul><p><b>AI/ML:</b></p><ul><li>Python AI/ML libraries (e.g., scikit-learn, OpenCV, TensorFlow, or PyTorch)</li><li>Basic knowledge of chatbot frameworks or platforms (e.g., Dialogflow, Rasa, or custom NLP solutions)</li></ul><p><b>DevOps/Tools:</b></p><ul><li>Git, GitHub/GitLab, Docker</li><li>Basic cloud deployment (AWS, Azure, or GCP is a plus)</li></ul><p><b>Preferred Experience:</b></p><ul><li>Experience working with chatbot integrations or conversational AI</li><li>AI use cases relevant to pharma, retail, logistics, or restaurant domains</li><li>Knowledge of ERP systems like SAP, EBS and their API-based integration</li><li>Exposure to real-time data pipelines or analytics dashboards</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field</li><li>4 years of relevant experience in full stack development (MERN + Python)</li><li>Strong analytical, problem-solving, and communication skills</li></ul><p><b>What We Offer:</b></p><ul><li>Cross-industry AI product development opportunities</li><li>Participation in enterprise digital transformation projects</li><li>Modern tools, flexible culture, and a learning-oriented environment</li><li>Competitive salary and benefits</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Full Stack Developer

One Click Solution

<p>Position Title: <b>Full Stack Developer</b><br/>Location: Karachi, onsite<br/>Shift: Monday to Saturday (10 am to 6 pm)</p><p>OneClick is seeking a talented and motivated Full Stack Developer with expertise in building real-time, scalable applications.</p><p><b>Key Responsibilities</b><br/>-Develop and maintain real-time applications using React, Next.js, Tailwind CSS, and Socket.IO.<br/>-Manage complex application state using Redux Toolkit and Context API.<br/>-Design and implement secure back-end services using Python (Django/DRF or FastAPI) or Node.js.<br/>-Build scalable and optimized databases using PostgreSQL, MongoDB, and SQL.<br/>-Develop and secure RESTful APIs, implement OAuth2/JWT authentication, and perform integration testing using Postman.<br/>-Containerize services using Docker and deploy applications on AWS or GCP with CI/CD pipelines, logging, and monitoring tools.</p><p><b>Required Qualifications</b><br/>-Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related technical field.<br/>-Proven at least 2 years experience in full stack development, particularly in building real-time and high-performance applications.<br/>-Solid understanding of modern development workflows, microservices, and API security standards.<br/>-Familiarity with version control systems like Git and collaborative development environments like GitHub/GitLab.<br/>-Experience with conversational AI, chatbot development, or real-time messaging platforms is a plus.</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Fullstack Developer

Search 2992+ Chatbot developer jobs near you this October. New roles added regularly across leading industries. Apply today.