44 Chatbot Development Jobs

Responsibilities: Design, develop & test chatbots using Conversational AI, Dialogflow & Amazon Lex. Collaborate with cross-functional teams on bot integration & optimization. Here’s a tailored job description for a Conversational AI Developer with Analytics focus—perfect for roles that blend natural language tech with data-driven insights: Job Title: Conversational AI Developer & Analytics Specialist Job Summary We’re seeking a skilled developer to design, build, and optimize conversational AI systems—chatbots, voice assistants, and virtual agents—while leveraging analytics to enhance user experience and business outcomes. You’ll work at the intersection of AI, NLP, and data science to create intelligent, adaptive, and insightful conversational interfaces. Key Responsibilities Design and develop conversational agents using platforms like Dialogflow, Amazon Lex, Rasa, or Microsoft Bot Framework. Integrate AI solutions with backend systems, APIs, and databases. Implement NLP and NLU models to improve intent recognition and contextual understanding. Analyze user interaction data to identify trends, optimize flows, and improve engagement. Collaborate with UX designers, data scientists, and product managers to align AI behavior with user needs. Monitor and fine-tune bot performance using analytics dashboards and A/B testing. Ensure compliance with data privacy and ethical AI standards. Required Skills Proficiency in Python, JavaScript, or Node.js. Experience with NLP libraries (spaCy, NLTK) and ML frameworks (TensorFlow, PyTorch). Strong understanding of analytics tools (e.g., Google Analytics, Power BI, or custom dashboards). Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines. Excellent problem-solving and communication skills. Preferred Qualifications 2–5 years of experience in conversational AI or chatbot development. Background in data science or analytics. Experience with LLMs and prompt engineering is a plus. If you’d like, I can help you tailor this for a specific company or role—or even turn it into a compelling LinkedIn summary. Want to go that route?

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.

Build & scale APIs with FastAPI/Django Work on LLMs, LangChain, AutoGen Design RAG, agent workflows, vector DBs Collaborate with AI/product teams Cloud, Docker, React are a plus Fast growth & real AI product work

Hope youre doing well.. As discussed, please find Job details and Description below Mandaoty skills - Java +AI (Gen AI, Python, java,spring boot, microservice,Chatbot development) Experience 8 + Years Location PAN India ( Hybrid-2 WFO ) Responsibilities: Design and implement new services, features and enhancements, contributing to our high-scale tools and services. Collaborate with various stakeholders, including product management, analysts, and data engineers. Develop well-architected, elegant software solutions with a passion for excellence. Perform and Participate in peer code reviews. Provide and receive constructive feedback. Stay up-to-date with emerging technologies and industry trends Qualifications Experience in backend development. Strong proficiency in Java and Spring framework. Hands-on experience building web applications, databases, and microservices at large scale. Excellent communication skills in English, both verbally and written. Experience with AWS . Excellent problem-solving skills and ability to work independently. You are flexible in your working hours by working with the US on a semi-regular basis. You have the ability to quickly learn new technologies and methodologies. Must have exp on AI/ML . Hands-on experience with Automation (preferred Workato) Hands-on experience with Phyton development

Role & responsibilities: Design, develop, and deploy chatbots and voice bots utilizing leading Conversational AI platforms such as Microsoft Bot Framework, Google CCAI, and Dialogflow CX. Craft clean, efficient, and maintainable code adhering to industry best practices and standards. Develop custom components and tools to optimize the functionality and performance of our chatbot ecosystem. Collaborate closely with developers, designers, and other stakeholders to meet project requirements and user expectations. Leverage natural language processing (NLP), LLM, and machine learning (ML) techniques, including TTS, STT, and SSML, to enable our chatbots to comprehend and respond intelligently to user inputs. Integrate chatbot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions. Investigate and resolve complex technical issues by analysing logs and debugging code for continuous improvement. Stay ahead of the curve by keeping up-to-date with the latest trends and advancements in chatbot development. Preferred candidate profile: 4+ years of hands-on experience with the Google Cloud Contact Center AI Bot framework. Proficient in Natural Language Processing (NLP), Natural Language Understanding (NLU), Machine Learning (ML), and Conversational AI. Extensive experience with the new LLM (playbook) feature in Dialogflow CX, as well as traditional Dialogflow CX functionalities. Solid understanding of Google as a Software-as-a-Service platform. Experience with Azure Composer Bots. Proven troubleshooting and analytical skills in complex, distributed environments. Familiarity with SQL and experience working with relational databases. Experience integrating web services into applications. Proficient in Agile and Scrum development methodologies. Bachelors degree in a technology-related field or equivalent experience.

As an AI Automation Intern , you will support the implementation and optimization of AI-powered workflows and automations across departments including lead generation, client onboarding, talent sourcing, and learning platforms. This is a hands-on role perfect for those excited about using automation to solve real business problems. Key Responsibilities : Automation Strategy & Implementation Assist in designing and implementing workflow automations using tools like Zapier, Make (Integromat), n8n, ChatGPT APIs, and Notion AI Automate repetitive tasks across BD, Recruitment, Academy, CXO onboarding, and Marketplace workflows Support WhatsApp + Email funnel integrations using tools like WATI, Twilio, or WhatsApp Cloud API Platform & Data Integrations Help connect front-end forms (Typeform, Zoho, etc.) to CRM systems (HubSpot, Zoho CRM) Set up Airtable/Google Sheets workflows for lead capture, resume sorting, and academy applications Assist in syncing data between Teachable/Graphy, Notion, and candidate dashboards AI Enablement Tasks Create and refine ChatGPT prompts for use in: Email outreach Social media scripting Resume screening Client onboarding flows Support in developing prompt banks and automation libraries Testing & Documentation Build internal documentation for each automation created Regularly test and troubleshoot automation failures Create walkthroughs for non-tech teams to manage automations post-deployment . Who Can Apply Final year students, fresh graduates, or women returning to work with tech interest Prior experience in any automation tool is a plus (even self-taught) Comfortable using Notion, Google Suite, Zapier, and basic APIs Willing to learn new tools quickly and take ownership of mini-projects Skills Youll Learn Real-world automation and process optimization across business verticals Use of AI tools like ChatGPT, Midjourney, Claude, etc. in business settings CRM workflows, API testing, and AI prompt engineering Building job-automation libraries for B2B and B2C systems Growth Path High-performing interns may transition into: AI Workflow Specialist (Remote Ops) Automation Manager – Academy & Marketplace Product Operations Associate

. Exposure in handling Python, Java and R,Keras or PyTorch,AI tools,Asp,vb,ado,mvc,sql,css platforms, and libraries to support project requirements. . Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.). . As a Data Eng, responsibilities will include web scrapping, manage distributed data processing, and develop robust data pipelines. . As an ML Eng, responsibilities will include training,monitoring,and evaluating state -of-the-art speech models.Data Science & Machine Learning: Pandas, NumPy, Scikit-learn, TensorFlow, Keras, OpenCV, NLTK, Matplotlib Jupyter Notebook, Anaconda, Power BI, Tableau, Apache Spark (Intro) AI & Emerging Technologies: Computer Vision, NLP, Chatbot Development, Recommendation Systems OpenAI, Hugging Face Transformers, Google Vision API.

The Opportunity: We are seeking a talented and experienced Senior AI Engineer to play a pivotal role in developing and enhancing our conversational AI capabilities across multiple modalities (text, voice/telephony) and building intelligent agents to drive workflow automation. You will work closely with our Director of AI Engineering, product managers, and other engineering teams to bring our AI vision to life, primarily focusing on fine-tuning off-the-shelf Large Language Models (LLMs) and developing agentic systems for end-users (members, CBO staff, healthcare providers). This is a unique opportunity to apply your AI expertise to solve meaningful problems in the social and healthcare space, directly impacting people's lives. What You'll Do: Conversational AI Development & Fine-Tuning (Text & Voice): Lead the fine-tuning, evaluation, and deployment of pre-trained LLMs (e.g., Gemini, GPT series, open-source models) to create natural, empathetic, and effective conversational experiences for various user interactions via text-based channels (chat, SMS) and voice-based telephonic systems (IVR chatbots). Develop and implement strategies for data collection, preparation, and augmentation to support model fine-tuning and continuous improvement for both text and voice modalities. Design and implement robust evaluation frameworks to measure conversational AI performance, including metrics for accuracy, fluency, empathy, task completion, and call handling efficiency for telephonic agents. Work on prompt engineering, context management, and dialogue flow design to optimize conversational AI interactions across channels. Integrate and manage speech-to-text (STT) and text-to-speech (TTS) services for telephonic AI solutions. Agentic System Development: Design, build, and deploy AI agents that can reason, make decisions, and take actions to automate and optimize key workflows within the platform (e.g., intelligent referral initiation, proactive follow-ups, task management assistance). Develop agents capable of interacting with internal platform APIs, external data sources, and potentially third-party tools to achieve their goals. Explore and implement techniques for agent planning, tool usage, and multi-step reasoning. Collaboration & Technical Leadership: Collaborate closely with the Director of AI Engineering to define AI strategy, architecture, and technical roadmap for conversational AI and agentic systems. Partner with Product Managers to understand user needs and translate them into technical requirements for AI features. Work with platform and application engineers to integrate AI models and agents into the broader ecosystem. Mentor junior engineers and contribute to building a strong AI engineering culture. Stay up-to-date with the latest advancements in LLMs, conversational AI (text and voice), agent-based systems, and MLOps. MLOps & Productionization: Contribute to the development and maintenance of our MLOps infrastructure for training, deploying, monitoring, and iterating on AI models and agents in production. Ensure AI systems are scalable, reliable, and maintainable. Back-end Development: Solid understanding of back-end development principles and experience building or integrating with APIs (e.g., RESTful services) to connect AI models and agents with broader application systems. Familiarity with database technologies (SQL and/or NoSQL) and practical experience in how AI systems interact with data storage and retrieval for training, inference, and logging. What You'll Bring: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 5+ years of hands-on experience in AI/ML engineering, with a significant focus on Natural Language Processing (NLP) and conversational AI. Demonstrable experience developing and deploying AI-powered telephonic chatbots or Interactive Voice Response (IVR) systems, including integration with STT/TTS technologies. Proven experience fine-tuning and deploying Large Language Models (LLMs) for specific tasks and domains. Strong understanding of model architectures, training techniques, and evaluation metrics. Demonstrable experience designing and building AI agents or systems that exhibit autonomous behavior, decision-making, and/or tool usage. Proficiency in Python and common AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers, LangChain, LlamaIndex). Experience with cloud platforms (GCP preferred, AWS/Azure acceptable) and their AI/ML services (e.g., Vertex AI, SageMaker, cloud telephony APIs). Solid understanding of MLOps principles and experience with tools for model deployment, monitoring, and CI/CD for ML. Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Ability to translate complex technical concepts to non-technical stakeholders. Proactive, self-starter with a passion for building impactful AI solutions. Nice to Haves: Experience working in the healthcare or social care domain. Familiarity with data privacy and security considerations in regulated environments (e.g., HIPAA). Experience with specific telephony platforms or APIs (e.g., Twilio, Vonage, Google Dialogflow CX). Contributions to open-source AI/ML projects.

AI Python Developer: Job Description About US We're a brand-new company with a bold vision to revolutionize through innovative AI solutions in globally serving niche customers. As a startup, we're building our team from the ground up, and that means you'll have an unparalleled opportunity to make a significant impact from day one. You won't find layers of bureaucracy here, just a passionate and agile environment where your ideas are valued and your contributions directly shape our product's development. We're looking for a talented and driven AI Python Developer who thrives in a dynamic, remote setting and is excited to be a foundational member of our team. This is your chance to not just build a chatbot, but to help build a company. If you're eager to take ownership, embrace challenges, and contribute to something truly impactful, we encourage you to apply. What will you do? Designing and developing software applications using Python and C#. Integrating AI and machine learning models into applications using Python and performing integrations with C#. Developing back-end components using Python and potentially interacting with front-end UI/UX using C#. Collaborating with product manager, onsite client coordinator and if need with the client as well. Debugging, testing, and optimizing application performance and code quality. Documenting technical specifications and best practices. Working with cloud platforms and services (e.g., AWS, Azure) for deployment and scaling. Who are you? An experienced programmer with strong knowledge of programming preferably in Python including frameworks like Django or Flask, and libraries like Pandas and NumPy. Experience with AI and machine learning models, algorithms, and frameworks. Knowledge of C# programming language, including .NET Framework or .NET Core (Nice to have but not mandatory) Experience with testing and debugging tools and techniques. Knowledge of database systems, including SQL and NoSQL databases. Familiarity with cloud platforms and services and experience with version control systems like Github. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Location: Remote

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Key Responsibilities: Design and develop chatbot solutions using platforms like Dialogflow, Microsoft Bot Framework, Rasa, or similar. Integrate chatbots with messaging platforms (e.g., WhatsApp, Facebook Messenger, Slack, web chat). Implement NLP and machine learning techniques to improve chatbot understanding and responses. Collaborate with UX/UI designers to create engaging conversational flows. Connect chatbots to backend systems, APIs, and databases. Monitor chatbot performance and continuously improve based on analytics and user feedback. Ensure security, scalability, and reliability of chatbot solutions. Required Skills: Proficiency in programming languages such as Python, JavaScript, or Node.js. Experience with chatbot development platforms (Dialogflow, Rasa, IBM Watson, etc.). Understanding of NLP concepts and tools (spaCy, NLTK, BERT, etc.). Familiarity with RESTful APIs and webhook integration. Knowledge of cloud platforms (AWS, Azure, GCP) is a plus. Strong problem-solving and communication skills.

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.