51 Chatbot Development Jobs

Job Description: We are seeking an experienced Generative AI Developer with expertise in Azure cloud services and a Java-based backend to join our cutting-edge AI team. You will be responsible for designing and deploying intelligent systems that combine RAG (Retrieval-Augmented Generation), prompt engineering, and document processing pipelines. Your work will contribute to two major initiatives: a RAG-based Document Intelligence System and an Embedded Knowledge Chatbot. Key Responsibilities: Design and implement document ingestion workflows using Java and Azure services. Develop LLM-prompt pipelines to extract structured data (JSON) from unstructured documents. Build automation scripts for form population and data validation. Implement JSON schema validation and transformation modules. Integrate user review interfaces and handle final data submission workflows. Ingest enterprise documentation into Azure-based vector stores for semantic retrieval. Develop chat-based interfaces to allow users to query internal knowledge using natural language. Design backend services using Java that interface with RAG-powered LLMs via LangChain or similar frameworks. Implement conversational workflows that deliver context-aware responses. Required Skills & Technologies: Programming: Strong experience in Java (Spring Boot or similar frameworks). AI Integration: Experience working with Large Language Models (LLMs) in a RAG setup. Prompt Engineering: Ability to craft prompts and chain logic to drive accurate responses from LLMs. Data Extraction: Expertise in document parsing, OCR, and JSON generation. Form Automation: Experience with auto-filling and validating data in dynamic web forms. Vector Search & Retrieval: Familiarity with vector databases (e.g., Azure Cognitive Search, FAISS) and embedding models. Cloud Platform: Proficient in Microsoft Azure, including services like Azure Functions, Azure OpenAI, Azure Blob Storage, and Azure Cosmos DB. NLP/NLU: Solid foundation in Natural Language Understanding techniques and tokenization. Integration: Experience with backend APIs, chat UI frameworks, and event-driven architectures. Nice to Have: Knowledge of LangChain, Semantic Kernel, or similar RAG orchestration tools (in a Java-compatible context). Experience with DevOps pipelines on Azure (CI/CD). Understanding of enterprise security and compliance for AI solutions. Why Join Us? * Be at the forefront of applied generative AI in real-world enterprise applications. * Work in a fast-paced, innovative team solving complex problems with modern AI tools. * Opportunity to influence AI architecture and decision-making in a growing company. Application Process: Please submit your resume and a brief statement highlighting your relevant AI and Azure experience, especially on Java-based projects involving RAG, LLMs, and document intelligence. How to Apply: Interested candidates are encouraged to send their updated resume along with a cover letter highlighting their relevant experience to in_jobs@lucidtechinc.com . Please include the following details in your email: Current location Current CTC Expected CTC Notice Period Join Our Team! Be part of a dynamic organization dedicated to excellence in recruitment and client satisfaction. We look forward to welcoming you to Lucid Technologies Inc. Thanks & Regards, HR Department Lucid Technologies Inc. Email: in_jobs@lucidtechinc.com

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

- Zethic Technologies is one of the leading creative tech studios based in Bangalore. - Zethic's team members have years of experience in software development. - Zethic specializes in Custom software development, Mobile Applications development, chatbot development, web application development, UI/UX designing, and consulting. Responsibilities : - Using agile methodology values, principles, and practices to plan, manage, and deliver solutions. - Training, mentoring, and supporting project teams to follow agile values, principles, and practices. - Determining and managing tasks, issues, risks, and action items. - Scheduling and facilitating scrum events, meetings, and decision-making processes. - Monitoring progress and performance and helping teams to make improvements. - Planning and organizing demos and product/system testing. - Ensuring the proper use of collaborative processes and removing impediments for the teams. - Tracking project processes, deliverables, and financials. - Preparing and presenting status reports to stakeholders. Why join us ? - We're growing rapidly and the sky's the limit - Work with a talented team you'll learn a lot from them - We care about delivering value to our excellent customers - We are flexible in our opinions and always open to new ideas - We know it takes people with different ideas, strengths, backgrounds, cultures, beliefs, and interests to make our Company succeed. - We celebrate and respect all our employees equally Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune

We are seeking a skilled Deep Learning Engineer to join our team. The ideal candidate will have a strong background in Artificial Intelligence and Deep Learning, with hands-on experience in Python and software development Food allowance Annual bonus

Must work in Custom Widgets creation,Chatbot development, Virtual Agent designing, Service Portal Development. Good in Angular JS,Google APIs,Seismic UI skills, UI/US exp using UI Builder, servicenow scripting languag Required Candidate profile Must have 12+yrs of Exp in ServiceNow ISTM Must be ServiceNow System Administration certified CSA Certification

We are seeking a highly skilled LLM Engineer with deep expertise in chatbot implementations and large language models (LLMs) . The ideal candidate should have hands-on experience with Retrieval-Augmented Generation (RAG) , instruction fine-tuning , parameter-efficient fine-tuning (PEFT) techniques such as LoRA or QLoRA , and proficiency in frameworks like LangChain , LlamaIndex , Haystack , Rasa , or their equivalents. The role requires experience in designing and implementing at least two chatbot projects end-to-end, coupled with a strong understanding of requirement analysis, architecture planning , and solution strategy formulation . Bonus points for experience with Vision-Language Models (VLMs) and multimodal AI applications integrating text, image, video, and audio data. Key Responsibilities Design, architect, and develop intelligent chatbot systems using state-of-the-art LLM techniques. Analyze business and functional requirements and translate them into scalable LLM solutions. Implement Retrieval-Augmented Generation (RAG) pipelines using relevant libraries and vector databases. Apply instruction fine-tuning and PEFT techniques like LoRA/QLoRA for domain-specific customization. Build LLM applications using frameworks such as LangChain , LlamaIndex , Haystack , or Rasa . Integrate chatbots with enterprise systems, APIs, and document stores. Work with vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB) and embedding models. Collaborate cross-functionally with design, product, and engineering teams for integration and deployment. (Preferred) Develop multimodal systems that process combinations of text, audio, video, and images. Stay up to date with the latest research in conversational AI, LLMs, and multimodal AI. Document technical architecture, processes, and best practices. Required Qualifications Bachelor's or Masters in Computer Science, Artificial Intelligence, Data Science, or equivalent. 6 to 9 years of total experience in software/AI development with minimum 2+ chatbot projects delivered using LLMs. Proficiency in RAG , instruction tuning , and parameter-efficient fine-tuning (LoRA/QLoRA) techniques. Strong expertise in one or more frameworks: LangChain , LlamaIndex , Haystack , Rasa , etc. Solid programming skills in Python and familiarity with Transformers , PyTorch , or TensorFlow . Experience with vector databases , embedding models , and NLP pipelines . Ability to understand business needs and independently drive solution strategy and implementation. Excellent communication and stakeholder engagement skills. Preferred Qualifications Exposure to multimodal AI and Vision-Language Models (VLMs) such as Flamingo, GPT-4V, or Kosmos. Experience with MLOps tools and deploying LLMs into scalable production environments. Understanding of prompt engineering, few-shot learning, and performance optimization for LLMs. Familiarity with model evaluation metrics specific to conversational and generative tasks. Soft Skills Strong analytical and problem-solving mindset. Self-motivated, with the ability to take initiative and ownership. Effective communicator with the ability to translate complex technical concepts into business outcomes. Comfortable working in agile, fast-paced environments.

We are seeking a highly skilled and innovative AI & MLTechnology Specialist to drive AI initiatives within our HR function. Theideal candidate will explore and implement advanced AI and machine learningsolutions to enhance HR processes, leveraging cutting-edge technologies such as data lakes, AI/ML bots, predictive analytics, and automation frameworks . Key Responsibilities: Develop AI-driven HR Solutions : Identify and implement AI and ML applications to optimize recruitment, onboarding, employee engagement, performance management, and workforce planning. Data Management & Analytics : Design and manage high-end HR data lakes , ensuring data integrity, security, and accessibility for advanced analytics. AI/ML Bot Development : Work on intelligent HR chatbots for employee queries, HR service automation, and improving user experience. Predictive Workforce Analytics : Utilize machine learning models to analyze workforce trends, predict attrition, assess employee satisfaction, and optimize talent management strategies. Collaborate with HR & IT Teams : Partner with cross-functional teams to understand business needs, develop AI-driven HR solutions, and ensure seamless integration with existing HR systems. Research & Continuous Innovation : Stay up-to-date with emerging AI/ML trends, tools, and frameworks, recommending best practices for HR transformation. Qualifications & Skills: Bachelor's/Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field . Proven experience in AI & ML technologies , with a focus on HR applications. Strong knowledge of data lakes, predictive analytics, NLP, chatbot development, and automation . Proficiency in programming languages such as Python, R, TensorFlow, or PyTorch . Experience with HR tech platforms, cloud-based AI solutions, and big data analytics is a plus. Excellent problem-solving skills, analytical mindset, and ability to communicate technical concepts to non-technical stakeholders.

Role- Chat Bot Developer Experience- (3-5 ) years Technical Skills Needed: Conversational AI Platforms : Expertise in platforms like Yellow.ai, Rasa, Dialogflow CX/ES, Cognigy, Kore.ai, and Microsoft Bot Framework. Custom Flow Design : Building dynamic bot flows, NLP tuning, fallback handling, and multi-language support. Channel Integrations : Integration across Web, WhatsApp, Facebook, Voice (Google Dialogflow, Amazon Lex). Scripting : Proficiency in JavaScript, Node.js, or Python for creating custom logic and dynamic responses. NLP Expertise : Intent/entity recognition, NER, slot-filling, dialogue state management, and conversation memory. Generative AI (LLM) : Experience with OpenAI GPT, Claude, Cohere integration and prompt engineering (zero-shot, few-shot). Voice Bot Development : STT/TTS integration, voice-optimized dialogues, and voice bot platform experience. API & Backend : Experience with RESTful APIs , webhooks , event-driven architecture. Zendesk Experience : Prior experience with Zendesk (Support, ZIS, or Ticketing API) for bot-to-agent handoff, ticket routing, and integrations would be a plus.

General Summary: Qualcomm IT is seeking a Lead Conversational AI Developer for Intelligent Automation Center (IAC) Responsibilities include: Experience on designing and implementing Conversational AI solutions using Microsoft Azure and Copilot Stack in combination with GenAI Hands-on experience with Microsoft Copilot Studio, Microsoft Bot Framework, NLP, Azure AI Search and Azure OpenAI Extensive hands-on experience in implementing end-to-end projects utilizing Generative AI using Retrieval-Augmented Generation (RAG) or Agentic AI architecture Strong expertise in Python for building bot solutions Experience with Azure Cognitive Services (LUIS/CLU, QnA Maker/CQA, Spell Check,Speech API) for advanced NLP features. Knowledge of Power Automate, Azure Logic Apps, and APIs for extending Copilot Agent and bot functionalities. Experience in software development with a focus on Conversational AI and Machine Learning. Proficiency with tools and Frameworks such as LangChain, LlamaIndex, and Streamlit. Knowledge and implementation experience of chatbot technologies using Microsoft Azure Services and Power Platform. Ensure quality of coded components by performing thorough unit testing and develop reusable test cases Work collaboratively with test teams for supporting Product testing and UAT Report status, issues and risks to tech leads on a regular basis Improve skills in automation products through certifications Train and coach team members on Conversational AI related technologies Work independently with minimal supervision and good team management skills Excellent communication and collaboration skills Provide timely status on assignments, planned activities, issues, and dependencies Good knowledge on Conversational AI on Microsoft Stack (Copilot Studio, Azure AI Foundry, Azure AI Search, Azure OpenAI) Good understanding of Generative AI concepts and Frameworks like Langchain Hands-on programming experience on Python and any frontend technology like Angular Minimum Qualifications: 4+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience with a Bachelor's degree. OR 6+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience without a Bachelors degree. 2+ years experience with Database Design structures such as Mongo DB, MySQL.• Good understanding of conversational AI and Intelligent Automation methodologies and associated tools & technologies Knowledge of Process Mining concepts and implementation expereience using Celonis inclusing data models and dasboards Experience in business process diagrams and process flow charts with Automation Anywhere Certification in Industry Leading Robotic Automation products is a plus. Experience in identifying the right processes for Automation and providing estimates for implementations Programming concepts and coding background in Python Understanding of RDBMS concepts and writing SQL queries Expereience in Cloud (preferrably AWS) and certifications is a plus Experience in Agile development using standard tools like Jira Bachelor's degree and 5+ years IT-relevant work experience

Role & responsibilities CHATBOT JD: Required: very good TypeScript skills (optionally Node.js) very good understanding of authorisations concepts (API key, OAuth) broad experience in exploring and consuming APIs through various methods good understanding of Pub/Sub concept in messaging systems technical / informatics background with coding mindset skilled to discover ways of meeting solution requirements with available technology stack enthusiasm to learn new things and discover new technologies Nice to have: basic front end skills (React) experience in working in Google environment (GCP, Dialogflow) experience in voicebot solutions (AWS, Cisco, Oracle Digital Assistant) experience in using integration platforms (SEND, Mulesoft) Kore.ai Oracle Digital Assistant Google DialogFlow Responsibilities: deliver chat & voice solutions according to requirements (GCP + Dialogflow, GCP + AWS, GCP + Cisco CVP) integrate chat and voice solutions with Google services (gChat, Cloud Storage, gDrive, gMail, gSheet, ect.) integrate chat and voice solutions with business applications (SAP, Service Now, Salesforce, etc.) discover capabilities of available APIs and consume them to meet solution requirements write micro applications in TypeScript & Node.js to achieve desired functionalities & automations discover best ways to deliver requirements within GCP using available technology stack Preferred candidate profile

Experienced Dialogflow CX & Generative AI candidate to design, develop, and optimize AI-driven conversational solutions. The ideal candidate will have expertise in Dialogflow CX, Conversational AI, and Generative AI technologies. Required Skills & Qualifications: Hands-on experience with Dialogflow CX and Conversational AI platforms. Strong knowledge of NLP, AI, and ML techniques. Experience working with Generative AI models (e.g., Vertex.ai, Gemini , GPT, BERT, etc.). Proficiency in Google Cloud, Python, APIs, and AI-driven automation. Ability to design complex conversational workflows with intents, contexts, and entities. Experience integrating AI chatbots with various platforms and third-party services. Key Responsibilities: Develop and optimize chatbot/voicebot solutions using Google Dialogflow CX. Design conversational flows with advanced NLP techniques for natural and effective communication. Integrate Generative AI models to enhance the chatbot's ability to generate human-like responses. Fine-tune AI models for accuracy, efficiency, and improved user experience. Collaborate with cross-functional teams to ensure smooth implementation and functionality. Monitor, analyze, and improve chatbot/voicebot performance using data insights and user feedback. Stay updated with the latest advancements in Conversational AI & GenAI technologies.

Role & responsibilities Develop and maintain AI-based solutions using Python. Design, develop, and deploy AI-driven applications with a focus on GenAI Chatbots & AI Agents. Implement GenAI Chatbots, including ingestion and query pipelines, using at least one cloud platform ( Azure, or GCP). Implement Agentic AI framework-based solutions. Develop data ingestion pipelines for efficient data processing and transformation. Ensure high data integrity and performance in AI-driven workflows. Deploy AI models on cloud platforms such as Azure, or GCP. Implement best practices for scalability, security, and cost optimization in cloud-based AI solutions. Conduct regular performance tuning, debugging, and troubleshooting of AI models and applications. Implement monitoring and logging mechanisms for AI-driven systems. Work closely with cross-functional teams, including data scientists, ML engineers, and software developers, to integrate AI solutions. Document technical specifications, workflows, and best practices for AI development. Stay updated with the latest advancements in GenAI, Agentic AI technologies to bring innovation into the organization. Preferred candidate profile Extensive experience in AI software development with strong proficiency in Python. Hands-on experience with GenAI, Agentic AI. Experience in developing Generative AI chatbots, Agentic AI frameworks including ingestion pipelines, query pipelines, and Retrieval-Augmented Generation (RAG) using at least one cloud platform. Solid understanding of machine learning techniques and algorithms. Strong knowledge of data structures, algorithms, and software design principles. Healthcare domain experience is a plus.

Job Description: We are seeking a highly motivated and skilled AI Developer to join our dynamic team. The ideal candidate should have hands-on experience in designing, developing, and deploying AI and machine learning models to solve real-world problems. You will work closely with data scientists, software engineers, and product teams to build intelligent applications. Key Responsibilities: Design and develop AI/ML models based on business requirements Preprocess and analyze structured and unstructured data Implement Deep Learning and NLP algorithms using frameworks like TensorFlow, PyTorch, and Scikit-learn Collaborate with software engineers to integrate models into production environments Build and optimize pipelines for data ingestion, model training, and inference Monitor model performance and retrain as needed Research and implement state-of-the-art algorithms Create dashboards or front-end demos using Streamlit or similar tools (optional) Key Skills Required: Programming: Python (Must), R (Optional), Java (Good to have) AI/ML: TensorFlow, PyTorch, Keras, Scikit-learn Data Science: Pandas, NumPy, Matplotlib, Seaborn NLP: Hugging Face Transformers, NLTK, SpaCy Computer Vision: OpenCV, YOLO, CNNs Model Deployment: Flask, FastAPI, Docker, AWS/Azure/GCP Databases: SQL, MongoDB, Firebase (optional) Version Control: Git, GitHub Preferred Qualifications: Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field Strong mathematical foundation in statistics, linear algebra, and probability Excellent problem-solving skills and attention to detail Strong communication and teamwork skills Why Join Us? Work on cutting-edge AI solutions Collaborative and inclusive work environment Opportunity to grow in a fast-paced tech-driven organization Exposure to real-world enterprise and consumer AI applications

ROLE: The key tasks will be developing innovative products, services, and internal efficiency solutions based on Generative Artificial Intelligence technologies. With every product and service we build, we aim for significant scale within our potential user base of tens of millions of customers across many countries, or among our 200m+ employees worldwide. In building such products and services, you will be in charge of leveraging our outstanding wealth of customer and other data, in a secure, safe, and privacy-compliant way along our vision of human-centered technology. You will be a pivotal part of the spear-heading Generative AI development team of Deutsche Telekom, working in close cooperation with other key AI experts as well as subject matter experts of areas across the company building product and services with and for the latter. You will be expected to provide key guidance on how to use cutting-edge Generative AI technologies in building telco-grade, strongly scaling products, and to efficiently execute the AI /data science components of such product/services developments. Those will include: Generative AI model/architecture selection, training/fine-tuning data set design and preparation, training pipeline design/setup, training/fine-tuning execution, meta-parameter optimisation, design and development of model orchestration technology (using Langchain or similar technologies) for e.g. On-parametric knowledge retrieval and tool access, testing, etc. You will build products/services based on both cutting-edge external Generative AI technology and be responsible for own Generative AI model development/enhancement. We believe in in the success of a sound mixture of both: (1) using leading-edge external technology ensures speed and sharpens our understanding of the space; (2) building our own, likely opensource-based, Generative AI models will be pivotal for a number of use cases, and helps us mitigate potential risks for our company and its customers. You will work in agile, empowered development teams in close synch with software engineers, product owners, customer experience and subject matter experts, amongst others. You will act as a trusted advisor for key technical / data science guidance on Generative AI and AI more broadly – incl.to senior management -- to help building the key brain trust on Generative AIin DT and the broader telco industry. Deutsche Telekom is supporting AI / data science experts in external scientific publication as long as Deutsche Telekom proprietary/confidential knowledge and our brand are safeguarded. SKILLS AND QUALIFICATIONS Comprehensive and deep expert knowledge and 2+ years of experience in Generative AI technologies and 8+ years of experience in Data Science, with significant and extended hands-on experience in developing Generative AI models and potentially supportive/orchestrating technologies of the latter Ideally extensive experience in building scaling products based on Generative AI technologies Solid experience in software development, open source programming languages Strong knowledge of cloud technologies like AWS, Azure etc. Experience in managing stakeholder expectations by being highly flexible as well as driving proactive and reactive communication. Being able and motivated to facilitate difficult discussions within the team or with diverse senior stakeholders Extensive and long term experience inmulti-cultural environments Excellent communication skills in leading AI technology/strategy discussions in development teams and in meetings with senior management. Should be able to explain complex topics in “crisp simple” language to top management Strong community engagement in opensource is highly appreciated Strong track record working in virtual settings across globally distributed teams, strong social and interpersonal/intercultural skills Able to act quickly, set new technical directions, empower the team to make decisions and aid the team with smart but fast decisions and engage in focused experimentation. Results Driven -confident, thrives on hard work and consistent challenge, and is quick on his/her feet. Monitors quantitative progress measures and acts quickly on deviations from plan Creative thinking to push the envelope of Generative AI model optimisation and products (e.g. novel architectures, loss functions, or training techniques) Ability and drive to balance AI and product development with ethical considerations ((e.g. understanding potential biases, fairness issues, privacy concerns, and societal impacts Fluency in English is a must. Technology education: Ideally mathematical, natural science, and/or engineering university degree; PhD in machine learning or similar highly welcome

Job Description We are seeking an experienced Lex Voice Bot Developer to design, build, and maintain intelligent voice bots using Amazon Lex and AWS services. The ideal candidate will have strong experience with voice interaction design, cloud integration, and delivering natural language solutions. Responsibilities Experience in building and deploying voice bots using Amazon Lex, AWS Lambda, and API Gateway. Design conversational flows with intents, slots, and utterances. Integrate bots with APIs, databases, and backend systems. Optimize performance using CloudWatch, logging, and analytics tools. Collaborate with UX teams to create effective voice user experiences. Manage production deployments and ensure bot scalability and reliability. Ensure all solutions follow security, privacy, and compliance standards. Qualifications 3+ years of strong hands-on experience with Amazon Lex and AWS Lambda. Solid understanding of NLP/NLU, conversation design, and voice UX. Proficiency in Python, Node.js, or JavaScript. Experience integrating with REST APIs, databases, and backend services. Familiarity with Amazon Connect and telephony integration. Knowledge of ASR (Automatic Speech Recognition) and TTS (Text-to-Speech). Experience with CI/CD pipelines and Infrastructure as Code (e.g., CloudFormation or Terraform). Strong debugging, logging, and bot performance tuning skills.

Job Title:C # .NET Developer Experience10-15 Years Location:Bangalore : Technical Skills: More than 10 years of experience on the Microsoft platform /technologies (C#, .NET and SQL) Stonge experience in chatbot development in Microsoft copilot studio or PVA Hands on experience in Microsoft power platform (Power BI and Power automate) Good understanding on Azure cloud services Knowledge on ETL jobs Understanding on GenAI and LLM model would be added advantage. Familiarity with version control systems (e.g., Git). Excellent problem-solving skills and attention to detail. Excellent communication skills and customer management. Design thinking and handling technical issues Certifications Needed Bachelor's or master’s degree in Computer Science, Information Systems, Engineering or equivalent.

We are seeking a Senior Solution Consultant with 6-10 years of experience in API integration, chatbot development, and data analysis tools. The role involves designing solutions, managing virtual assistants' architecture, gathering business requirements, and leading end-to-end delivery. The candidate should have experience in APIs like OData, REST, SOAP, as well as tools like Postman, Excel, and Google Sheets. Familiarity with NoSQL databases such as MongoDB, natural language processing, chatbot platforms (Dialogflow, Microsoft Bot Framework), and analytical tools like Power BI, Tableau, or Grafana is essential. The consultant will work closely with cross-functional teams, mentor other consultants, and ensure seamless integration with customer systems. Skills : - API Integration, Chatbot Development, OData, REST, Node.js, MongoDB, API Integration, Chatbot Development, OData, REST, SOAP, Node.js, Postman, Google Sheets, MongoDB, Power BI, Tableau, Grafana, Natural Language Processing, Microsoft Bot Framework, Dialogflow, Data Analysis

Role & responsibilities Lead the architecture and deployment of LLM and GenAI-based applications. Fine-tune and optimize state-of-the-art LLMs including GPT, LLaMA, Claude, Mistral, etc. Design and implement advanced prompt engineering and Retrieval-Augmented Generation (RAG) systems. Collaborate with data scientists, backend engineers, and product teams to deliver robust AIdriven solutions. Ensure security, performance, and cost optimization in model training and deployment. Translate complex business requirements into scalable GenAI solutions. Maintain best practices in code quality, version control, and documentation. Proven expertise in LLM fine-tuning, deployment, and inference workflows. Strong experience in Prompt Engineering and RAG (Retrieval-Augmented Generation) systems. Proficient in Python with hands-on experience in building AI pipelines. Demonstrated ability to lead system design and architecture for GenAI applications Preferred candidate profile Familiarity with GenAI toolkits such as LangChain, LlamaIndex, Haystack, or custom-built frameworks. Exposure to Microsoft Azure (preferred over AWS or GCP) for cloud deployments. Experience with scalable, secure AI infrastructure and CI/CD pipelines for ML models

Seeking a highly skilled and motivated Senior Generative AI Developer with approximately 2 years of hands-on experience in developing and deploying AI models, particularly in the generative space (e.g., NLP, AL/ML, AWS, Python, RASA, MCP, Flutter). Required Candidate profile 2+ yrs of exp in AI/ML dev, with focus on gen models. Prog skills in Python & ML libraries/frameworks Langchain, spacy, NLTK, Hugging Face Exp in AI bot/agent platforms like Make, POE, RetellAI

We are looking for a passionate and skilled AI/ML Developer with 4 to 9 years of experience to join our team in Kolkata. The ideal candidate will have hands-on experience in building and deploying AI/ML models, with strong proficiency in Python, machine learning frameworks, and a solid understanding of modern development practices. Role & responsibilities Design, develop, and deploy machine learning and AI solutions for business needs. Work with Generative AI models, Whisper (Speech-to-Text/Text-to-Speech), and NLP-based chatbot solutions. Build and maintain scalable and reliable AI model pipelines. Collaborate with cross-functional teams using Agile methodologies. Perform data preprocessing, feature engineering, and model tuning. Deploy models to production environments and monitor performance. Integrate AI/ML solutions into web applications using technologies such as React.js, Oracle APEX, Oracle JET, and HTML5. Participate in system design and apply software engineering best practices including design patterns and testing. Preferred candidate profile AI/ML & Data: Machine Learning, Deep Learning Generative AI, Whisper (Speech-to-Text/Text-to-Speech) Chatbot Development, Natural Language Processing (NLP) AI Model Deployment (cloud/on-premise) Programming & Frameworks: Proficient in Python Experience with TensorFlow, PyTorch Frontend/Backend & Scripting: React.js, HTML5 Oracle APEX, Oracle JET Linux Shell Scripting Tools & DevOps: Docker, Git, Jira Methodologies: Agile Development System Design, Design Patterns Preferred Qualifications: Bachelors/Master’s degree in Computer Science, Engineering, or a related field. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Experience working in a product or R&D environment is a plus.

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: 5+ 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 innovative AI/ML Engineer with hands-on experience in developing and deploying intelligent chatbot systems. The ideal candidate will have a strong background in machine learning, natural language processing (NLP), and software engineering, with proven experience building conversational AI systems that deliver real value to users. Below is JD- Design, develop, and deploy AI-driven search solutions for eCommerce platforms to enhance product discovery and relevance. Build and optimize agentic AI chatbots that guide users through personalized shopping experiences, customer service, and post-purchase workflows. Work closely with product managers, UX designers, and developers to translate business requirements into intelligent solutions. Integrate third-party or custom AI/ML services with eCommerce platforms like Shopify, Magento, Adobe Commerce, Salesforce Commerce Cloud , etc. Apply natural language understanding (NLU) and context management for advanced chatbot functionality. Analyze search and conversation data to continuously improve relevance, ranking, and chatbot accuracy. Experiment with generative AI (e.g., OpenAI, Anthropic) for advanced conversational capabilities. Collaborate in an agile environment, participate in code reviews, and contribute to architecture discussions. Fine-tune language models and recommendation engines to personalize user interactions based on behavior, preferences, and purchase history. Monitor performance of chatbot systems and iterate using A/B testing, user feedback, and analytics tools. Ensure chatbot systems comply with privacy, security, and data governance standards relevant to eCommerce and consumer data. Preferred: Experience working with Google Vertex search/ Vector search / Elastic search / Milvus, etc Ecommerce AI search experience. Experience in building and deploying AI/ML solutions, with at least 2 years focused on chatbot development. Proficiency in NLP tools and frameworks (e.g., spaCy, NLTK, Hugging Face, Rasa, Dialogflow, Botpress). Experience working with LLMs and APIs from providers like OpenAI, Anthropic, or Cohere. Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

Gen AI Chatbot Architect Reports To: Technical Program Managers Location: Gurugram Work from Office As a Generative AI Chatbot Architect, you will play a pivotal role in designing, developing, and implementing advanced conversational AI solutions that enhance customer engagement, drive productivity, and streamline business processes. You will leverage cutting-edge Generative AI technologies, Microsoft Azure services, and modern AI frameworks to deliver scalable, high-performance, and intelligent conversational interfaces. RESPONSIBILITIES Design and implement AI solutions to deliver seamless and engaging user experiences. Optimize, Develop and test scalable, high-performance chatbot solutions using Microsoft Bot Framework , Generative AI models , and Azure Cognitive Services . Integrate advanced cognitive capabilities (e.g., natural language understanding, sentiment analysis, and intent recognition) into conversational interfaces to solve complex business challenges. Collaborate with cross-functional teams (e.g., product managers, developers) to align solutions with business goals and user needs REQUIRED 8+ years of experience in software development, with a recent focus on conversational AI, chatbot development, and Generative AI solutions. Bachelors/Master’s Degree in Computer Science, IT or related field. Proficiency in C# programming and/or programming languages supported by Microsoft Bot Framework. Understanding of Chatbot Architecture, particularly based on the Microsoft Bot Framework. Hands-on experience with Microsoft Azure Cloud services and generate clear and concise technical documents, including architecture diagrams, API documentation, and system workflows. Familiarity with Agile frameworks (e.g., Scrum) and tools like Jira and Confluence. Preferred Qualifications Experience in Python, React JS, Angular. Experience in leveraging other Azure AI services through SDKs and APIs. Experience with integrating third-party AI models into custom solutions. Familiarity with Agentic AI. Knowledge of DevOps practices for CI/CD pipelines and chatbot deployment.

Role Overview: We are looking for a motivated and experienced Sales Executive (Remote) to promote our IT services including mobile apps, websites, software development, and chatbot development. The ideal candidate will have a proven track record of B2B IT service sales, excellent communication skills, and the ability to manage the full sales cycle remotely. Key Responsibilities: Identify and reach out to international leads interested in IT services. Drive revenue growth through new client acquisition and upselling. Manage outbound communication, client presentations, and proposals. Maintain CRM records, lead reports, and follow-ups. Collaborate with the delivery and project teams for proposal and scope finalization. Achieve assigned monthly and quarterly sales targets. Identify and reach out to international leads interested in IT services. Drive revenue growth through new client acquisition and upselling. Manage outbound communication, client presentations, and proposals. Maintain CRM records, lead reports, and follow-ups. Collaborate with the delivery and project teams for proposal and scope finalization. Achieve assigned monthly and quarterly sales targets. Minimum 1.5 years of experience in IT sales (apps, websites, chatbot, software) Excellent communication and international client handling skills Self-driven and target-focused Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Responsibilities: Develop Chatbots: Design, develop, and implement chatbot solutions using platforms such as Dialogflow, Microsoft Bot Framework, Rasa, or similar tools. API Integration: Integrate chatbots with various APIs and backend services to retrieve and display relevant data. Testing and Debugging: Test chatbot functionality, identify issues, and fix bugs to ensure a seamless user experience. Documentation: Create and maintain clear documentation for chatbot functionalities, workflows, and codebases. User Interaction: Design conversational flows and ensure the chatbot can effectively manage a variety of user queries. Cross-functional Collaboration: Collaborate with design, marketing, and customer support teams to ensure the chatbot aligns with business goals and user needs. Qualifications: Experience with chatbot development platforms such as Dialogflow, Microsoft Bot Framework, or Rasa. Strong skills in API integration. Proficiency in testing and debugging chatbot functionalities. Ability to create conversational flows for effective user interaction. Strong teamwork and communication skills for collaboration with cross-functional teams.