137 Chatbot Development Jobs - Page 6

Job role - Prompt engineer with Insurance Experience - 2 to 8 Years Location - Bangalore 2+ years relevant experience with prompt engineering preferably with OpenAI Proven expertise in prompt engineering strategies and their application to real-world problems, experience in Insurance usecases will be preferred Hands on experience in designing, developing and refining prompts, optimizing prompt performance, and improving the AI prompt generation process for various applications Hands-on experience in RAG-based solutions for data retrieval and conversational AI & chatbot development Experience with Voice AI platform e.g. ElevanLabs or similar with Voice Modulation experience to create conversational Voice Bots Experience with vector database PGVector and structured data sources Good exposure to Insurance Domain will be an added advantage

Project Role :AI / ML Engineer Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills :Machine Learning Operations Good to have skills :NA Minimum 5 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an AI/ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Your role will involve applying GenAI models as part of the solution, and may also include deep learning, neural networks, chatbots, and image processing. Join our team and contribute to cutting-edge AI projects. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Collaborate with stakeholders to understand project requirements and objectives. Design and develop AI/ML applications and systems using Cloud AI services. Implement and optimize machine learning algorithms and models. Ensure the quality and performance of AI applications through testing and debugging. Stay up-to-date with the latest advancements in AI/ML technologies and tools. Contribute to the documentation and knowledge sharing within the team. Professional & Technical Skills: Must To Have Skills:Proficiency in Machine Learning Operations. Experience with cloud-based AI tools and services. Strong understanding of deep learning, neural networks, and image processing. Hands-on experience with chatbot development. Solid knowledge of data preprocessing and feature engineering techniques. Good To Have Skills:Experience with natural language processing (NLP) techniques. Familiarity with big data technologies and distributed computing frameworks. Experience with containerization and orchestration tools like Docker and Kubernetes. Additional Information: The candidate should have a minimum of 5 years of experience in Machine Learning Operations. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 15 years full time education

Job Overview: We are seeking a Generative AI Developer with expertise in Retrieval-Augmented Generation (RAG) architecture, LangChain, Python, and Large Language Models (LLMs) . The ideal candidate will have experience in building chatbots using LLMs and a strong understanding of LLMOps/MLOps for scalable AI solutions. Key Responsibilities: Develop and optimize Generative AI applications using LLMs, RAG pipelines, and LangChain . Design and implement chatbot solutions leveraging LLMs for conversational AI. Integrate retrieval mechanisms to enhance chatbot accuracy and contextual relevance. Apply LLMOps/MLOps best practices for model deployment, monitoring, and optimization. Collaborate with cross-functional teams to integrate AI solutions into business applications. Research and implement the latest advancements in Generative AI and NLP. Ensure scalability and efficiency of AI models using vector databases and embeddings . Required Skills: Expertise in RAG architecture for AI-driven retrieval systems. Strong proficiency in Python for AI model development. Experience with LangChain for building AI-powered applications. Hands-on experience in chatbot development using LLMs. Knowledge of LLMOps/MLOps for model lifecycle management. Understanding of vector databases (FAISS, Pinecone) for efficient data retrieval. Familiarity with cloud-based AI services (AWS Bedrock, Azure AI). Preferred Skills: Experience with NLP frameworks (spaCy, Hugging Face, NLTK). Knowledge of deep learning architectures (Transformers, CNN, RNN). Proficiency in Streamlit for AI application prototyping. Exposure to CI/CD pipelines for AI model deployment.

We are creating a vibrant AI Innovation Hub — a space where entrepreneurs, AI professionals, researchers, and ambitious young minds come together to design, build, and launch the next generation of AI technologies. scaling your AI products Required Candidate profile A environment for brainstorming, prototyping, and rapid development Connect with industry leaders, investors, and technical experts Access to AI tools, technical infrastructure Real-world AI projects

We are looking for a highly motivated and enthusiastic individual to join our team as a Digital Marketing Intern with expertise in AI Tools. The ideal candidate will have a strong foundation in digital marketing principles and a keen interest in staying updated with the latest trends and technologies. Roles and Responsibility Develop and implement comprehensive digital marketing strategies across various channels. Create engaging content for social media platforms and websites using AI tools. Analyze campaign results and provide recommendations for improvement. Collaborate with cross-functional teams to achieve business objectives. Stay current with industry developments and emerging technologies. Assist in managing and optimizing online advertising campaigns. Job Requirements Strong understanding of digital marketing concepts, including SEO, SEM, and social media marketing. Proficiency in AI tools such as Chatbot development and data analysis software. Excellent communication and project management skills. Ability to work independently and as part of a team. Strong analytical and problem-solving skills. Familiarity with retail industry trends and practices is an added advantage.

Job Description We are seeking an experienced and highly motivated AI/ML Lead Developer to lead our team in the development of advanced AI/ML solutions. The ideal candidate will have a strong focus on natural language processing (NLP) and NLU related work, with secondary focus on computer vision and deep learning. Experience with chatbots development would be a plus. Key Responsibilities: • Lead the development and implementation of advanced AI/ML algorithms for natural language processing, computer vision, and deep learning tasks • Collaborate with cross-functional teams to understand business requirements and develop solutions • Mentor and manage a team of AI/ML developers, guiding them in the development of high-quality, scalable AI/ML models • Experiment with new AI/ML techniques and technologies to improve performance and scalability • Stay up-to-date with the latest research in AI/ML, particularly in the areas of NLP, computer vision, and deep learning Qualifications: • 5+ years of experience in AI/ML development with a strong focus on NLP related work, and secondary focus on computer vision and deep learning • Experience leading and managing a team of AI/ML developers • Strong programming skills in Python and experience with TensorFlow, PyTorch, Keras, or similar frameworks • Experience with NLP libraries such as NLTK, spaCy, HuggingFace and computer vision libraries like OpenCV • Working experience with GPT3, BERT models • Experience with deep learning architectures such as CNN, RNN, GAN and LSTM • Strong understanding of machine learning concepts and techniques • Experience with cloud-based AI/ML platforms such as AWS or Google Cloud • Experience with chatbot development is a plus • Excellent communication and leadership skills Please share your updated CV on deepti.vyas@smartdatainc.net or call us on 9664338930

We're looking for an experienced AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. Youll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a foundational hire for a technically ambitious platform. Role & responsibilities AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retrieval-augmented generation (RAG) pipelines for contextual responses. Data Pipelines & Knowledge Management: Build secure data pipelines to ingest, embed, and serve tenant-specific knowledge bases (FAQs, scripts, product docs) using vector databases (e.g., Pinecone, Weaviate). Voice & Text Interfaces: Implement and optimize multimodal agents (text + voice) using ASR (e.g., Whisper), TTS (e.g., Polly), and NLP for automated qualification and call handling. Conversational Flow Orchestration: Design dynamic, stateful conversations that can take actions (e.g., book meetings, update CRM records) using tools like LangChain, Temporal, or n8n. Platform Scalability: Ensure models and agent workflows scale across tenants with strong data isolation, caching, and secure API access. Lead a Cross-Functional Team: Collaborate with backend, frontend, and DevOps engineers to ship intelligent, production-ready features. Monitoring & Feedback Loops: Define and monitor conversation analytics (drop-offs, booking rates, escalation triggers), and create pipelines to improve AI quality continuously. Preferred candidate profile Qualifications Must-Haves: 4+ years of experience in ML/AI, with at least 2 years leading conversational AI or LLM projects. Strong background in NLP, dialog systems, or voice AI preferably with production experience. Experience with OpenAI, or open-source LLMs (e.g. LLaMA, Mistral, Falcon) and orchestration tools (LangChain, etc.). Proficiency with Python and ML frameworks (Hugging Face, PyTorch, TensorFlow). Experience deploying RAG pipelines, vector DBs (e.g. Pinecone, Weaviate), and managing LLM-agent logic. Familiarity with voice processing (ASR, TTS, IVR design). Solid understanding of API-based integration and microservices. Deep care for data privacy, multi-tenancy security, and ethical AI practices. Nice-to-Haves: Experience with CRM ecosystems (e.g. Salesforce, HubSpot) and how AI agents sync actions to CRMs. Knowledge of sales pipelines and marketing automation tools. Exposure to calendar integrations (Google Calendar API, Microsoft Graph). Knowledge of Twilio APIs (SMS, Voice, WhatsApp) and channel orchestration logic. Familiarity with Docker, Kubernetes, CI/CD, and scalable cloud infrastructure (AWS/GCP/Azure). What We Offer Founding team role with strong ownership and autonomy Opportunity to shape the future of AI-powered sales Flexible work environment Competitive salary Access to cutting-edge AI tools and training resources Post your resume and any relevant project links (GitHub, blog, portfolio) to career@sourcdeskglobal.com. Include a short note on your most interesting AI project or voicebot/conversational AI experience.

We are seeking a highly skilled and hands-on AI Engineer with experience in building and deploying deep learning models. If youre passionate about large language models (LLMs), generative AI , and developing intelligent systems in computer vision and natural language processing (NLP) , we’d love to meet you. You will be at the forefront of creating production-ready AI solutions, working closely with cross-functional teams to design, train, optimize, and deploy state-of-the-art models that solve real-world problems. Key Responsibilities Design, train, and fine-tune models for tasks such as: Image classification, segmentation, object detection Text classification, summarization, generation Build and integrate generative AI solutions using LLMs (e.g., GPT, LLaMA, BERT) Optimize and deploy AI models in scalable, GPU-accelerated environments Collaborate with engineering, DevOps, and IT teams to ensure robust model deployment and monitoring Translate business requirements into AI solutions through close interaction with product and customer teams Continuously improve model performance with respect to accuracy, latency, and resource efficiency Requirements Strong understanding of deep learning, computer vision, and NLP fundamentals Hands-on experience with: CNNs, RNNs/LSTMs, attention mechanisms, transformers Generative models such as diffusion models , text-to-image models , or LLMs Proficiency in PyTorch or TensorFlow Experience working with LLM platforms such as Hugging Face , OpenAI , or similar Exposure to prompt engineering, fine-tuning, or embedding-based retrieval Familiarity with GPU-based training workflows , distributed computing, or MLOps tools is a plus Solid programming skills in Python and comfort with Git, Docker, or related tools Good to Have Experience with vector databases (e.g., FAISS, Pinecone) Knowledge of ML lifecycle tools like MLflow, Weights & Biases, or DVC Exposure to cloud platforms (AWS, GCP, or Azure) for model training/deployment

Role : Prompt Engineer Location: Bengaluru Job Description: 2+ years relevant experience with prompt engineering preferably with OpenAI Proven expertise in prompt engineering strategies and their application to real-world problems, experience in Insurance usecases will be preferred Hands on experience in designing, developing and refining prompts, optimizing prompt performance, and improving the AI prompt generation process for various applications Hands-on experience in RAG-based solutions for data retrieval and conversational AI & chatbot development Experience with Voice AI platform e.g. ElevanLabs or similar with Voice Modulation experience to create conversational Voice Bots Experience with vector database PG Vector and structured data sources Good exposure to Insurance Domain will be an added advantage.

Your Profile You would be working on Amazon Lex and Amazon Connect. AWS services such as Lambda, CloudWatch, DynamoDB, S3, IAM, and API Gateway, Node.js or Python. Contact center workflows and customer experience design. NLP and conversational design best practices. CI/CD processes and tools in the AWS ecosystem. Your Role Experience in design, develop, and maintain voice and chatbots using Amazon Lex. Experience in Lex bots with Amazon Connect for seamless customer experience. Experience in Amazon Connect contact flows, queues, routing profiles, and Lambda integrations. Experience in develop and deploy AWS Lambda functions for backend logic and Lex fulfillment. What youll love about working here You can shape yourcareer with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. About Capgemini Location - Chennai (ex Madras), Bangalore, Hyderabad, Mumbai, Pune

Your Profile You would be working on Amazon Lex and Amazon Connect. AWS services such as Lambda, CloudWatch, DynamoDB, S3, IAM, and API Gateway, Node.js or Python. Contact center workflows and customer experience design. NLP and conversational design best practices. CI/CD processes and tools in the AWS ecosystem. Your Role Experience in design, develop, and maintain voice and chatbots using Amazon Lex. Experience in Lex bots with Amazon Connect for seamless customer experience. Experience in Amazon Connect contact flows, queues, routing profiles, and Lambda integrations. Experience in develop and deploy AWS Lambda functions for backend logic and Lex fulfillment. What youll love about working here You can shape yourcareer with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learn on one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications. About Capgemini Location - Chennai (ex Madras), Bangalore, Hyderabad, Mumbai, Pune

Job Description We are seeking an enthusiastic and communicative Solution Architect to lead the design and implementation of voice solutions on the Google Platform. This role requires deep expertise in system architecture, API integrations, and data mapping while collaborating with cross-functional business and development teams. The Solution Architect will oversee new projects from conception to delivery, ensuring best practices, scalability, and compliance with business and technical requirements. Key Responsibilities: Design end-to-end solutions that align with enterprise environments and business needs. Establish and promote best practices, reusable design patterns, and architectural standards. Create clear and concise documentation, including backend integration specifications, business logic implementation details, and high-level architecture designs. Identify the APIs needed (Analysis and onboarding, API request/response structures, and DTO classes). Also designing high level design for the middleware teams to enable them to produce MW services. Act as a liaison between business stakeholders and development teams to translate business requirements into technical solutions. Work closely with engineers to support the implementation of designed solutions. Engage proactively with external teams to ensure alignment and successful project execution. Tune voice solutions for optimal performance, leveraging best practices in configuration and AI/ML-powered speech recognition systems. Qualifications Over 5 years of proven experience as a Solution Architect, preferably in voice-based solutions and cloud platforms. 3+ years of experience with Google Dialogflow CX and large language models (LLM). Experience with designing secure and scalable backend integrations. Deep knowledge of IVR/bot systems Deep understanding of voice solution architecture, including VXML, ASR, and NLP-based interactions. Proficiency in API development, API integrations, authentication mechanisms (OAuth, certificates), and data mapping. Proficient in managing the transfer and storage of conversational data between platforms. Hands-on experience designing call flows using Visio or Idraw.io. Design and documentation skills tailored to meet the specific business needs of enterprise solutions. Excellent communication and collaboration skills. Experience working with business stakeholders to define requirements and deliver solutions. Nice to have: Hands-on experience in development and implementation solution in Google CCAI Background in AI-driven speech processing and conversational AI solutions. Prior experience in an Agile development environment.