526 Dialogflow Jobs

Job Description: AI/ML Engineer (Conversational AI) Company Overview Servoedge is building an innovative voice-based airline booking system that will transform the travel industry. Our solution leverages cutting-edge conversational AI to provide a seamless, multi-language booking experience for customers, integrating with leading travel services and our internal systems. Role Summary We are seeking a highly skilled and motivated AI/ML Engineer to be the cornerstone of our conversational AI efforts. You will be responsible for the end-to-end development, implementation, and optimisation of our speech-to-speech conversational platform. This role requires a strong background in machine learning, natural language processing (NLP), and a passion for building robust, human-like voice interfaces. Key Responsibilities Design, develop, and deploy the core conversational AI logic using Google Gemini API and Dialogflow CX. Integrate and optimise our system with the Vonage Voice API via WebSockets for real-time audio streaming. Develop and fine-tune Speech-to-Text (STT) and Text-to-Speech (TTS) models to support a range of languages, including English (US & UK), Hindi, Spanish, French, Tagalog, Nigerian English, and Arabic. Implement and manage webhook functionality to connect our conversational AI to backend services, including the Amadeus GDS and our custom CRM. Collaborate with the backend engineering team to ensure seamless data flow and integration across all components. Conduct continuous testing, analysis, and refinement of conversational flows to improve accuracy, efficiency, and user experience. Ensure all data processing and handling of conversational data (transcriptions, logs) are compliant with GDPR and other relevant regulations. Stay up-to-date with the latest advancements in conversational AI and machine learning to drive innovation within the project. Required Skills & Qualifications Proven experience as an AI/ML Engineer, specifically in developing and deploying conversational AI applications. Expertise in Google Cloud services, particularly Google Gemini API, Dialogflow CX, and Google Cloud Speech-to-Text and Text-to-Speech APIs. Strong programming skills in Python. Hands-on experience with real-time communication protocols, such as WebSockets. Solid understanding of microservices architecture and REST APIs. Knowledge of NLP, natural language understanding (NLU), and dialogue management. Familiarity with cloud platforms (e.g., Google Cloud Platform) and CI/CD pipelines. Excellent problem-solving skills and the ability to work independently in a fast-paced environment. Strong communication and collaboration skills to interact with cross-functional teams. Nice-to-Have Skills Experience with the Vonage Voice API or other similar telephony platforms. Knowledge of the airline industry or Global Distribution Systems (GDS) like Amadeus. Familiarity with database management, both SQL and NoSQL. Experience with containerisation technologies (e.g., Docker, Kubernetes). Job Type: Full-time Application Question(s): What is your current CTC? What is your expected CTC? What is you total exp? Current location? Notice Period? Work Location: In person

Dear Jobseekers Greetings from Abservetech Private Limited...!!! Job Title : Senior Node.js Developer (5+ Years Experience) Location : Chennai (Onsite) Job Overview We are seeking a highly skilled and experienced Node.js Developer with 5+ years of professional expertise to join our development team. The ideal candidate will have strong backend development skills, a deep understanding of JavaScript/TypeScript, and proven experience in building scalable, high-performance applications. Responsibilities Design, develop, and maintain backend applications using Node.js. Build and implement conversational agents with Google DialogFlow and stay updated on AI/LLM technologies (e.g., Vertex AI). Monitor and analyze server logs in GCP and AWS to troubleshoot and resolve issues. Work closely with testing and DevOps teams to design, deliver, and deploy new features. Optimize backend performance for scalability, reliability, and security. Implement efficient caching and data storage with Redis. Integrate third-party tools such as Twilio. Conduct code reviews and ensure best coding practices. Use Jira for sprint planning and task tracking. Collaborate on GitHub for version control and CI/CD workflows. Ensure backend systems meet performance, quality, and security standards. Communicate effectively within cross-functional teams. Requirements 5+ years of experience in backend development with Node.js. Strong knowledge of JavaScript/TypeScript. Experience with DialogFlow and understanding of the AI ecosystem. Familiarity with GCP, AWS, Redis, and CI/CD tools. Good problem-solving and debugging skills. Speak with employer +91 9222379222 / hr@abservetech.com Job Type: Full-time Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Experience: Node.js: 5 years (Required) Work Location: In person

Job Title: Genesys Engage Consultant Company Info: TVS Digital is a digital technology start-up focused on the Fintech & Automotive industry with platforms and services offerings in the Credit & Collection Services and Automotive & Retail domain. We provide IT Services to accelerate digital transformation by partnering with industry renowned platforms (Microsoft, Salesforce, Oracle, SAP) & help to develop centre of excellence for our customers. TVS Digital’s mission is to build & deliver high quality software solutions & services to help address real life business challenges of global companies in these domains by harnessing the power of Analytics, Artificial Intelligence (AI), Machine Learning (ML). Our strategy is to leverage inorganic and organic means for the initial build out and subsequent expansion and growth. TVS Digital is a part of TVS Holdings and has also currently invested in several early-stage high tech start-ups globally in areas of connected manufacturing, fleet management and credit services. Job Description: The Genesys Senior Architect / Lead Engineer is responsible for designing, implementing, optimizing, and maintaining enterprise-level Genesys solutions . This includes GIRecording (GIR), Genesys Voice Platform (GVP), IVR, Composer, E-Services, and Outbound solutions . The ideal candidate will have 10+ years of experience in Genesys platforms, deep technical expertise, and a strong understanding of cloud migration strategies, AI, and analytics. Key Responsibilities: 1. Genesys Solution Architecture & Development Architect, design, and deploy Genesys Engage and Genesys Cloud solutions. Lead end-to-end implementations of GIR, GVP, IVR, Composer, E-Services, and Outbound campaigns. Define and optimize Genesys call routing strategies using ORS, URS, and T-Server. 2. Genesys Integration & Customization Integrate Genesys with third-party applications, CRMs and backend systems. Develop and optimize IVR applications using Genesys Composer, VoiceXML, and CCXML. Implement REST API-based integrations with external platforms. 3. Outbound & AI-Driven Customer Engagement Implement and optimize Genesys Outbound solutions (predictive, preview, and progressive dialing). Leverage AI, chatbots, and speech recognition (Nuance) for self-service automation. 4. Performance Optimization & Troubleshooting Monitor and optimize Genesys Framework, SIP, T-Server, ORS, URS, and WFM. Conduct performance tuning, capacity planning, and root cause analysis (RCA) for production systems. Troubleshoot and resolve complex Genesys infrastructure issues. 5. Compliance & Security Ensure GIR compliance with regulatory requirements for call recording, encryption, and data retention. Implement security best practices for Genesys-based voice and digital interactions. 6. Documentation, Training & Leadership Develop detailed technical documentation, including system architectures, workflows, and best practices. Mentor and train junior engineers on Genesys technologies and troubleshooting techniques. Collaborate with business stakeholders, IT teams, and vendors to align solutions with business goals. Skills: Genesys experties : Genesys platforms, specializing in GIRecording, GVP, IVR, Composer, E-Services, and Outbound solutions . Active Directory : Expertise in Active Directory management, Group Policy, Replication, and troubleshooting. Telco : Deep understanding of Genesys Framework, SIP, T-Server, ORS, URS, and WFM Voice : Expertise in IVR development using VoiceXML, CCXML, Java, and REST APIs . Genesys architecture : Hands-on experience with Genesys Cloud / Engage architecture and cloud migration strategies . Database : Strong knowledge of database integration (SQL, NoSQL), analytics, and reporting tools . Experience with AI, chatbots, and speech recognition (Nuance, Google Dialogflow, Amazon Lex) is a plus.

Skills: Chatbot Frameworks, Dialogflow, Microsoft Bot Framework, Chatbot Development, REST APIs, Natural Language Processing, DB, Company Overview Twixor enables business transactions and digital customer journeys over popular messaging channels, leveraging intelligent automation and AI to transform customer engagement. Serving global enterprises, including Fortune 500 clients, Twixor specializes in low-code digital process automation across industries. Headquartered in Singapore with a global presence, Twixor delivers innovative solutions to elevate customer experience and drive business growth. Job Overview Twixor is seeking a Junior Chatbot Developer for our Chennai office. This full-time role is ideal for professionals with 1 to 3 years of experience in developing chatbot solutions. As a vital team member, you will design, build, and optimize intelligent chatbots that redefine customer engagement for leading enterprises. Join us to collaborate across digital innovation and intelligent automation for our global client base. Qualifications And Skills Demonstrated experience with Chatbot Frameworks such as Dialogflow or Microsoft Bot Framework (Mandatory skill), enabling creation of responsive conversational bots for diverse enterprise needs. Hands-on proficiency with Dialogflow platform for building, deploying, and maintaining conversational AI experiences supporting various sectors. (Mandatory skill) Solid practical experience with Microsoft Bot Framework, developing cross-channel chatbots tailored to customer engagement. (Mandatory skill) Strong foundation in chatbot development, including conversational design, integration, and optimization for effective user interaction across messaging applications. Experience working with REST APIs to integrate external data sources, ensure dynamic bot interactions, and support real-time response handling for scalable systems. Applied knowledge of Natural Language Processing technologies to improve intent recognition, response generation, and elevate the overall chatbot intelligence and personalization. Familiarity with database concepts, data models, and CRUD operations to ensure chatbots can store, fetch, and manipulate user data as part of the conversation flow. Ability to collaborate within cross-functional technical teams, ensuring seamless integration of chatbot solutions with core enterprise systems. Problem-solving mindset to effectively troubleshoot and resolve chatbot performance, logic, and integration issues across multiple channels. Roles And Responsibilities Develop and maintain enterprise-grade chatbots using leading frameworks such as Dialogflow and Microsoft Bot Framework to meet client requirements. Design and implement interactive conversational flows and menu-driven interfaces aligned with business processes and customer journeys. Integrate chatbots with REST APIs and databases to ensure personalized, dynamic user experiences and smooth data flow. Collaborate with product managers, analysts, and other developers to deliver tailored solutions for banking, insurance, retail, FMCG, logistics, and other sectors. Leverage Natural Language Processing to enhance bot understanding, intent recognition, and context-driven responses, supporting seamless human-agent handoff when required. Monitor performance metrics, perform debugging, and optimize chatbots for efficiency, scalability, and reliability on diverse messaging channels. Contribute to documentation and user guides, supporting end-users and client stakeholders on chatbot functionalities and best practices. Stay updated with the latest trends in conversational AI technology, constantly innovating and recommending enhancements to elevate customer engagement and satisfaction. Work Location Chennai (Work from Home) Notice Period: below 30 days.

Senior Director – Software Engineering Bengaluru, India | Hybrid Work Model About Best Buy: Best Buy™ India is a vibrant hub of tech talent, where we're driving innovation and accelerated business outcomes for Best Buy, our customers, employees and partners every day. Our inclusive culture empowers you to learn, grow, collaborate, and make a real impact. Best Buy is North America's No. 1 tech specialty retailer, with approximately $42 billion in annual revenue and 85,000 employees worldwide. Our purpose is to enrich lives through technology, and we do that by helping personalize and humanize technology for millions of customers in our stores, online and in their homes. We're solving real human needs and helping serve our customers, employees, and partners in new ways every day. This position is based in Bengaluru. Best Buy™ India operates under a hybrid work model (in office / remote) with an expectation for employees to be in the office three days a week – Generally, Tuesday, Wednesday, and Thursday. As a global organization, maintaining collaboration across the globe is a key proposition. Within the framework of established guidelines, employees may be required to engage in extended hours during critical periods. All employees at Best Buy™ India work for BBY Services India LLP, which is owned by subsidiaries of Best Buy Co. Inc. This leadership role offers the opportunity to work with global stakeholders and cutting-edge technologies, including public cloud platforms, omnichannel systems, and AI-driven engagement tools. You’ll lead the development of high-impact software platforms while championing engineering best practices and fostering an inclusive, high-performance culture. Key Responsibilities: Build and lead multiple engineering teams and deliver large scale software products in partnership with key stakeholders with company-wide impacts and outcomes Connect the larger organization strategic goals directly to their team's goals and can effectively communicate that to their teams Guide production support for complex and high-priority issues Provide strategic direction aligned with broader business goals Build a high-performing organization by mentoring senior managers and engineering leaders Drive continuous improvement in software development lifecycle (SDLC) quality, tools, and innovation Partner with global executive stakeholders on long-term initiatives and priorities Architect and modernize solutions with a customer-first mindset Excellent communication and leadership skills, with the ability to influence both technical and non-technical stakeholders Champion a test / learn / iterate culture focused on progress and outcomes What You Bring: 18+ years of experience in technology, including: 8+ years of experience managing engineering leaders 7+ years of experience with full stack modern web frameworks (React, Node, Java or, Python or Node or GoLang) 7+ years building SaaS applications at enterprise scale 7+ years of experience in cloud-native architecture (AWS or GCP preferred) 3+ years of experience in omnichannel technology (e.g., contact center platforms, digital communication tools) Experience with Google Customer Engagement Suite (e.g., DialogFlow, Agent Assist) Exposure to LLMs, Gen AI technologies, and responsible AI practices About the Opportunity: Location: Bengaluru, India Work Mode: Hybrid (in-office 3 days / week) Compensation & Benefits: Industry leading; based on experience and expertise Why Apply: Join a purpose-driven company at the forefront of redefining customer experience through technology. You’ll work with visionary leaders, world-class talent, and next-gen tools to help shape the future of omnichannel engagement and commerce.

Responsibilities: * Design chatbots using Dialogflow platform * Develop bots with focus on user experience * Collaborate with cross-functional teams on bot integration * Design and Deploy Whatsapp Chatbot in Business Whatsapp APi Panel Accessible workspace Assistive technologies

Greetings!!! Role : Conversation Bot Engineer with AI Location- 100 % Remote Exp Range- 4+ Yrs Notice Period- Immediate Joiners only. Duration- 6+ months Contract Time: 11 am to 8 pm IST Must have skills: ● Experience in development of virtual agents (chatbots, voicebots) and natural language processing ● Experience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc. ● Knowledge of one or more of the following technologies: Python, JavaScript or Node.js ● Experience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process data ● Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management If you are interested , please share your resume to prachi@iitjobs.com

Immediate Joiner Remote position 4+ Year of experience Required Skills: Experience in development of virtual agents (chatbots, voicebots) and natural language processing Experience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc. Knowledge of one or more of the following technologies: Python, JavaScript or Node.js Experience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process data Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management Strong written communication skills Ability to learn latest technologies Good problem-solving ability Nice to have skills: Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plus Experience in Test Driven Development & Agile methodologies Knowledge of creating an end to end pipeline for development of AI based conversational applications Perform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patterns Ability to write regular expressions for data cleaning and preprocessing Understanding of API integrations, Single-Sign-on and token-based authentication Develop unit test cases as per project specific standards Experience with HTTP, Sockets, REST and other web services Perform keyword and topic extraction from chat logs Knowledge of training and tuning topic modelling algorithms like LDA and NMF Understanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metric Knowledge of frameworks like nltk and spacy Ability to write regular expressions for data cleaning and preprocessing

Immediate Joiner Remote position 7+ Year of experience Essential Skills: Experience working with scalable, high-performance systems. Experience in designing system architecture for distributed applications Experience in API integration, Application development. Strong skills in designing database schema; both SQL and NoSQL databases . Contribution in maintaining high quality production software written in Python or Node.js Experience with leveraging serverless technologies like AWS Lambda, Google Dataflow, Google Pub/Sub and AWS Glue where required. Experience in development of virtual agents (chatbots, voicebots) and natural language processing Experience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc. Knowledge of one or more of the following technologies: Python, JavaScript or Node.js Experience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process data Experience with monitoring and event analytics using ELK Design, build, manage and operate the continuous delivery framework and tools, and acting as a subject matter expert on CI/CD for developer teams. Front-end - Angular / ReactJS / jQuery Application Security Familiarity in Unix/Linux development environments & tools including scripting & process management. Strong problem-solving ability. The ability or potential to multitask, prioritize. Experience in Test Driven Development & Agile methodologies. Good communication skill. Experience of using tools like git, Jira, confluence is a plus. A team player who can collaborate with all stakeholders with strong interpersonal skills. Self-starter with a drive to technically mentor your cohort of developers Good to Have Exposure to maintaining and monitoring microservices with ML models (in Tensorflow Serving)

Role Overview: As a Technical Solutions Consultant, your primary responsibility will be to manage the technical relationship with the largest advertising clients and/or product partners. You will collaborate with cross-functional teams in Engineering, Sales, and Product Management to utilize emerging technologies for external clients/partners. From initial concept design to data analysis and support, you will supervise the technical execution and business operations of Google's online advertising platforms and/or product partnerships. Your role will involve balancing business and partner needs with technical constraints, developing innovative solutions, and acting as a partner and consultant to your collaborators. Additionally, you will be involved in building tools, automating products, overseeing technical execution, and developing product strategy while prioritizing projects and resources effectively. Key Responsibilities: - Build virtual agent solutions on Google's core conversational AI platforms such as Dialogflow. - Collaborate with customer technical leads, client executives, and partners to define, manage, and successfully deliver implementations of Contact Center AI solutions, establishing yourself as a trusted advisor to decision-makers. - Engage with sales, partners, and customer technical stakeholders to oversee project scope, priorities, deliverables, risks/issues, and timelines, ensuring successful client outcomes. Advocate for customer needs to drive new feature development based on your field experience. - Propose solution architectures and oversee deployment of cloud-based virtual agent solutions according to complex customer requirements and implementation best practices. - Travel approximately 30% of the time for client engagements. Qualifications Required: - Bachelor's degree in Computer Science or equivalent practical experience. - Experience in computational linguistics or engineering. - Experience in working with customers, executives, and technical leads. - Experience in building chatbots or voicebots. - Experience in building chatbots or voicebots with Dialogflow, including launching chatbot or voicebot applications. - Experience building cloud-based conversational AI solutions. - Experience with natural language processing and related concepts. - Excellent leadership and collaboration skills in the field of AI or Machine Learning. - Excellent communication, presentation, and problem-solving skills.,

About Us Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Experience Level: 8-20 Years Locations – Pune / Bengaluru / Hyderabad / Gurugram / Chennai/ Mumbai Notice period – Immediate - 30 days only Mandate Skills – Role/Function: Business Analyst, BA, Conversation Banking BA, Chat BA, Conversational AI BA Domain/Capability: Chat on Digital Journeys, Conversational Banking, AI Chat, Chatbot, Voicebot, Digital Banking Journeys Tech/Platforms: Skills: Agile, Jira, Confluence, NLU, Customer Experience, Digital Transformation Please see JD below: Job Description Job Description – BA (Conversation Banking – Chat): Must Have Skillsets: Strong experience working on Chat-based digital journeys across mobile and web platforms . Hands-on exposure to Chatbot and Voicebot implementation leveraging AI/Gen AI technologies . Knowledge and practical experience with NLU (Natural Language Understanding) platforms , such as: RASA Google Dialogflow Poly AI Sierra Dyna (or similar platforms) Good to Have Skillsets: Relationship Manager (RM) chat channel experience (e.g., WhatsApp, WeChat, or other messaging channels). Exposure to Genesys Cloud contact center integration . Additional Skills: Strong business analysis skills , including requirements gathering, user story creation, backlog refinement, and Agile ways of working. Ability to collaborate across Product Owners, Digital Product Managers, UX teams, and technical delivery teams . Excellent stakeholder management, communication, and problem-solving skills .

Location : Remote Key Responsibilities Design, develop, and deploy conversational bots using Dialogflow (CX/ES) or equivalent platforms. Implement NLP and NLU models to accurately understand user intents and entities. Develop backend integrations using Python or Node.js to connect bots with APIs, databases, and enterprise systems. Build multi-channel bot experiences (Web, Mobile, WhatsApp, Voice, etc.). Optimize conversation flows for usability, accuracy, and contextual handling . Implement logging, monitoring, and analytics for bot performance and continuous improvement. Collaborate with UX designers and business stakeholders to translate requirements into conversational journeys. Ensure security, compliance, and best practices in bot design (PII handling, authentication). Required Skills & Qualifications Proven experience with Dialogflow (CX/ES) and conversational AI platforms. Strong programming skills in Python or Node.js . Solid understanding of NLP/NLU concepts and conversational design principles. Experience with REST APIs, webhook development, and third-party integrations . Familiarity with cloud platforms (GCP/AWS/Azure) for deployment and scalability. Strong problem-solving and debugging skills. Excellent communication and collaboration skills.

Club Mahindra is looking for an experienced AI Chatbot Manager to lead the development and optimization of our conversational chatbot across website, mobile app, and WhatsApp. This role is central to enhancing customer engagement and delivering seamless, intelligent service experiences. Key Responsibilities Chatbot Development & Optimization Manage chatbot operations for sales and service across platforms Optimize responses for accuracy, efficiency, and engagement Apply AI and NLP techniques to improve conversational flow Collaborate with tech teams to refine scripts and workflows Data Monitoring & Performance Analysis Track metrics like response time, resolution rate, and CSAT Analyze interactions and feedback for continuous improvement Share insights and reports to guide strategy Cross-Team Collaboration Align chatbot goals with support, marketing, and product teams Integrate chatbot with CRM, analytics, and automation tools Train internal teams on chatbot features and best practices User Experience Enhancement Ensure personalized, natural, and engaging chatbot interactions Conduct A/B testing to refine communication styles Drive innovation in conversational design Qualifications & Skills Strong knowledge of chatbot frameworks (e.g., Dialogflow, WhatsApp Business API) Proficient in NLP and AI-driven service tools Familiar with CX metrics and conversational design principles Skilled in chatbot analytics, CRM systems, and cloud platforms (AWS, Azure, Google Cloud) Excellent problem-solving and communication skills Experience with platforms like Omilia, Kore.ai, Salesforce is a plus Why Join Us? Work with cutting-edge AI and chatbot technologies Be part of a dynamic, collaborative environment Enjoy competitive compensation and growth opportunities

We are seeking a highly motivated and experienced ML Engineer/Data Scientist to join our growing ML/GenAI team. You will play a key role in designing, developing and productionalizing ML applications by evaluating models, training and/or fine tuning them. You will play a crucial role in developing Gen AI based solutions for our customers. As a senior member of the team, you will take ownership of projects, collaborating with engineers and stakeholders to ensure successful project delivery. What we're looking for: At least 3 years of experience in designing & building AI applications for customer and deploying them into production At least 5 years of Software engineering experience in building Secure, scalable and performant applications for customers. Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI. Design, develop, and operationalize existing ML models by fine tuning, personalizing it. Evaluate machine learning models and perform necessary tuning. Develop prompts that instruct LLM to generate relevant and accurate responses. Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation. Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance. Hands on customer experience with RAG solution or fine tuning of LLM model. Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools. Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment. Proven experience building and deploying machine learning models in production environments for real life applications Good understanding of natural language processing, computer vision or other deep learning techniques. Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain). Familiarity with Google Cloud or any other Cloud Platform and its machine learning services. Excellent communication, collaboration, and problem-solving skills. Good to Have Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent. Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure. Experience with Amazon Lex or Google DialogFlow CX or Microsoft Copilot studio for CCAI Agent workflows Experience with AutoML and vision techniques. Master’s degree in statistics, machine learning or related fields.

Job description: Position: Python AI developer Experience: 1-3yr We are hiring a skilled Python AI Developer to build custom AI models. The ideal candidate should have hands-on experience in machine learning, natural language processing (NLP), and Python-based AI tools. key responsibilities: 1-3 Year experience in AI/ ML, LLM, generative AI Build and integrate a chatbot for the website using AI/NLP Work on data preprocessing and model optimization Develop REST APIs and ensure backend integration Social media API integrations (Twitter/X, Facebook, Instagram, LinkedIn, YouTube, TikTok, Reddit, etc.). Collaborate with frontend/backend teams to deploy solutions Deploy AI models on cloud platforms (AWS/GCP/Azure) Maintain code quality and documentation Experience with Selenium or any automation tool Text generation, summarization, and rewriting for blog & post creation. Familiarity with AI image/video generation tools Required Skills : Strong expertise in Python Experience with AI/ML libraries: TensorFlow, PyTorch, Scikit-learn Good experience in vector data base Good knowledge of NLP tools: SpaCy, NLTK, Hugging Face Transformers Experience in chatbot frameworks like Rasa, Dialogflow, or building custom bots REST API development using Django, Flask Familiarity with version control tools (Git) Basic understanding of cloud services (AWS/GCP) Job Type: Full-time Pay: ₹15,000.00 - ₹60,000.00 per month Benefits: Health insurance Paid time off Work Location: In person

We have a long term contract job opening for a Google Dialogflow Developer. This will be a 100% remote opportunity Shift timings are from 4:00 PM IST - 2:00 PM IST Overall exp of 12+ and on dialog flow can be 4+ with ES/CX ( types of dialog flow)

As a Full Stack Developer Custom AI Applications at iCuerious, you will have the opportunity to design and develop interactive applications, AI-backed dashboards, and customized AI agents for specific business use cases. Your role will involve integrating AI/ML frameworks into production-grade applications, building scalable APIs and backend services, and ensuring seamless data integration between frontend, backend, and AI systems. Additionally, you will apply data analytics techniques to extract actionable insights and collaborate with business teams to translate client-facing needs into functional applications. Optimization of applications for high performance, scalability, and security will also be a key responsibility, along with contributing to architecture design and best practices. Key Responsibilities: - Design, develop, and deploy AI-powered dashboards and applications tailored to diverse use cases. - Integrate AI/ML frameworks (LangChain, Rasa, LlamaIndex, Hugging Face, etc.) into production-grade applications. - Build scalable APIs and backend services to support frontend and AI functionalities. - Ensure seamless data integration and flow between frontend, backend, and AI systems. - Apply data analytics techniques to extract actionable insights, visualize trends, and improve AI-driven decision-making. - Collaborate with business teams to understand client-facing needs and translate them into functional applications. - Optimize applications for high performance, scalability, and security. - Contribute to architecture design, code reviews, and best practices. Required Skills & Qualifications: - 4-10 years of experience in full stack development and/or AI/ML application development. - Proficiency in Python (preferred), and JavaScript/TypeScript (Node.js, React, or Next.js). - Strong understanding of frontend frameworks (React, Next.js, Angular, or Vue). - Hands-on experience with AI bot frameworks (Rasa, LangChain, Haystack, Dialogflow). - Familiarity with NLP, LLMs (OpenAI, HuggingFace, Anthropic) and integrating them into applications. - Strong knowledge of Data Analytics - data processing, visualization, and reporting (Pandas, NumPy, Plotly, Power BI, or Tableau). - Experience with databases (SQL/NoSQL) and API development. - Exposure to cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes). Bonus Skills: - Experience in building SaaS, RaaS (Research-as-a-Service), dashboards, or enterprise-grade applications. - UI/UX design capabilities for intuitive AI and data-driven applications. - Understanding of IP/legal domain data (preferred but not mandatory). What We Offer: - Opportunity to build intelligent AI applications and data analytics from the ground up. - Exposure to cutting-edge AI and automation technologies. - A collaborative, entrepreneurial environment where your work has a direct impact. - Competitive compensation with strong growth prospects as the division expands. Interested candidates are invited to apply by sending their resume to aditi.gupta@icuerious.com and hr@icuerious.com, or by applying directly via this job post. Shortlisted candidates will be contacted for the next stage of the hiring process.,

About The Role Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a highly skilled and visionary AI/ML Manager to lead the development of advanced AI-driven applications and solutions using Google Cloud's Conversational AI (CCAI) platform and Gen AI models. In this role, you will architect, design, and deploy scalable AI solutions that leverage deep learning, neural networks, and advanced chatbot/voice bot technologies. You should have strong hands-on experience in building and optimizing conversational experiences using Google Dialogflow CX, Agent Assist, and other Google Cloud AI services.Roles & Responsibilities:- Lead end-to-end solutioning, design, and implementation of AI/ML-powered applications using Google CCAI tools and GCP services.- Architect scalable conversational AI solutions including chatbots and voice bots using Dialogflow CX, Agent Assist, and Gen AI APIs.- Collaborate with cross-functional teams including UX, data science, and engineering to deliver impactful AI products.- Drive innovation by integrating advanced models such as LLMs, NLP, and neural networks to elevate conversational capabilities.- Oversee performance tuning, testing, and optimization of AI solutions in real-world production environments.- Stay current with Google AI/ML advancements and incorporate best practices into the solution lifecycle.- Proven experience in designing and deploying AI/ML and conversational AI systems on Google Cloud Platform.- Expertise in Dialogflow CX, Agent Assist, and other CCAI tools.- Solid understanding of Gen AI technologies, NLP techniques, and machine learning frameworks.- Strong architecture and solution design experience within GCP ecosystem.- Hands-on experience in building and optimizing production-ready chatbots and voice applications.- Excellent problem-solving, communication, and leadership skills.- Experience with programming languages such as Python/Node.jsProfessional & Technical Skills: Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms, NLP and techniques. Experience with chatbot, generative AI models, prompt Engineering.Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 15+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15 year full time education is required Qualification 15 years full time education

Job Title: AI/Conversational Agent Specialist Location: Delhi Experience: 1–3 years (or as suitable) Job Overview: We are looking for an AI/Conversational Agent Specialist to design, implement, and manage intelligent virtual agents and conversational AI solutions. The candidate will work with cutting-edge Agentic AI platforms and tools to create advanced, automated conversational workflows. Key Responsibilities: Develop, configure, and maintain conversational AI agents using platforms such as Cognigy, Dialogflow, VAPI etc. Research and evaluate access to Agentic AI resources, APIs, and relevant integrations. Design and implement AI-driven workflows and automations for customer support, lead generation, and internal processes. Test, optimize, and monitor AI agent performance, ensuring high accuracy and user satisfaction. Collaborate with stakeholders to gather requirements and translate them into AI/agent solutions. Stay updated with the latest advancements in conversational AI and agentic AI technologies. Provide technical guidance on integration of AI agents with existing systems or third-party platforms. Required Skills & Qualifications: Hands-on experience with tools like Cognigy, Dialogflow, VAPI (or similar conversational AI platforms and tools). Strong understanding of AI, NLP (Natural Language Processing), and conversational design principles. Knowledge of APIs, webhooks, and integrating AI agents with third-party applications. Experience in designing chatbots, voice bots, and other AI-driven agent workflows. Strong problem-solving skills and attention to detail. Good communication skills to document workflows and interact with stakeholders. Preferred: Prior experience in Agentic AI concepts and implementation. Understanding of advanced AI models, prompts, and agent orchestration. Familiarity with cloud platforms and deployment of AI solutions. Job Types: Full-time, Permanent Pay: From ₹10,000.00 per month Ability to commute/relocate: Pitampura, Delhi, Delhi: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): How many years of experience do you have as a AI/Conversational Agent Specialist? How many years of experience do you have with Cognigy, Dialogflow, VAPI (or similar conversational AI platforms and tools)? Please note that there will be a service agreement of 18 Months to 24 Months (depending upon the organization) & you need to sign an agreement for the same. So, are you comfortable with that? Education: Bachelor's (Preferred) Language: English (Preferred) Work Location: In person

Job Title: AI/Conversational Agent Specialist Location: Delhi Experience: 1–3 years (or as suitable) Job Overview: We are looking for an AI/Conversational Agent Specialist to design, implement, and manage intelligent virtual agents and conversational AI solutions. The candidate will work with cutting-edge Agentic AI platforms and tools to create advanced, automated conversational workflows. Key Responsibilities: Develop, configure, and maintain conversational AI agents using platforms such as Cognigy, Dialogflow, VAPI etc. Research and evaluate access to Agentic AI resources, APIs, and relevant integrations. Design and implement AI-driven workflows and automations for customer support, lead generation, and internal processes. Test, optimize, and monitor AI agent performance, ensuring high accuracy and user satisfaction. Collaborate with stakeholders to gather requirements and translate them into AI/agent solutions. Stay updated with the latest advancements in conversational AI and agentic AI technologies. Provide technical guidance on integration of AI agents with existing systems or third-party platforms. Required Skills & Qualifications: Hands-on experience with tools like Cognigy, Dialogflow, VAPI (or similar conversational AI platforms and tools). Strong understanding of AI, NLP (Natural Language Processing), and conversational design principles. Knowledge of APIs, webhooks, and integrating AI agents with third-party applications. Experience in designing chatbots, voice bots, and other AI-driven agent workflows. Strong problem-solving skills and attention to detail. Good communication skills to document workflows and interact with stakeholders. Preferred: Prior experience in Agentic AI concepts and implementation. Understanding of advanced AI models, prompts, and agent orchestration. Familiarity with cloud platforms and deployment of AI solutions. Job Types: Full-time, Permanent Pay: From ₹10,000.00 per month Ability to commute/relocate: Pitampura, Delhi, Delhi: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): How many years of experience do you have as a AI/Conversational Agent Specialist? How many years of experience do you have with Cognigy, Dialogflow, VAPI (or similar conversational AI platforms and tools)? Please note that there will be a service agreement of 18 Months to 24 Months (depending upon the organization) & you need to sign an agreement for the same. So, are you comfortable with that? Education: Bachelor's (Preferred) Language: English (Preferred) Work Location: In person

Description We are looking for an experienced Google Dialogflow Developer to join our team. The ideal candidate should have 6-9 years of experience in developing chatbots and voice assistants using Google Dialogflow. The candidate should have a solid understanding of Natural Language Processing (NLP) and Machine Learning algorithms and should be able to design and develop conversational experiences using Dialogflow. The role will be based in India and will require the candidate to work with our clients in India and abroad. Responsibilities Design and develop conversational experiences using Google Dialogflow Collaborate with cross-functional teams to understand client requirements and design chatbots and voice assistants accordingly Develop and maintain integrations with third-party APIs and platforms Implement and test NLP and Machine Learning algorithms to improve the accuracy of chatbots and voice assistants Create and maintain technical documentation Stay up-to-date with the latest trends and technologies in chatbot and voice assistant development Skills and Qualifications 6-9 years of experience in developing chatbots and voice assistants using Google Dialogflow Solid understanding of Natural Language Processing (NLP) and Machine Learning algorithms Hands-on experience in designing and developing conversational experiences using Dialogflow Experience in integrating chatbots and voice assistants with third-party APIs and platforms Strong programming skills in Python, JavaScript, and Node.js Experience in deploying chatbots and voice assistants on cloud platforms like Google Cloud, AWS, or Azure Excellent communication and collaboration skills Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Duration: 6 Months Location: BKC, Mumbai (On-site) Stipend: ?20,000 ?25,000 per month About the Role: We are seeking a dynamic and tech-savvy HR Intern who is passionate about transforming traditional HR processes through automation and AI. This internship offers hands-on experience in managing HR systems, Onboarding, implementing and driving chatbot solutions, and working on automation projects that reduce manual interventions and enhance employee experience. Key Responsibilities: Assist in managing and maintaining HR systems and databases. Assisting Onboarding and employee queries related to system Support automation initiatives across HR operations (e.g., onboarding, offboarding, leave management). Collaborate with the HR Tech team to implement AI-driven tools like chatbots and self-service portals. Analyze existing manual processes and propose tech-enabled solutions. Work on integrations between HR platforms (e.g., HRMS, ATS, payroll systems). Document workflows and contribute to process improvement projects. Provide support in data analytics and reporting using HR dashboards. Working on data analytics through Power BI and other tools Ideal Candidate Profile: Currently pursuing or recently completed a degree in HR,BSC(IT) or related field. Strong interest in HR Technology, automation, and AI. Familiarity with chatbot platforms (e.g., Microsoft Bot Framework, Dialogflow, etc.). Basic understanding of tech languages like Python, JavaScript, or SQL is a plus. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. What Youll Gain: Exposure to cutting-edge HR Tech tools and platforms. Experience in real-world automation projects. Mentorship from experienced HR and Tech professionals. Opportunity to contribute to strategic HR transformation initiatives. Show more Show less

Role : Chatbot Developer Location: Goa/Kerala Open to work in shifts Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). Hands-on experience with chatbot frameworks (Dialogflow, Microsoft Bot Framework, Rasa, IBM Watson Assistant, etc.). Strong understanding of NLP/NLU concepts and tools (spaCy, BERT, OpenAI APIs, etc.). Proficiency in programming languages such as Python, JavaScript, or Node.js. Experience with RESTful APIs and backend integrations. Familiarity with cloud platforms (AWS, Azure, GCP) for chatbot deployment. Knowledge of UX writing and conversational design principles. Strong problem-solving and debugging skills.

About The Role Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for a seasoned Senior Manager CCAI Architect with deep expertise in designing and delivering enterprise-grade Conversational AI solutions using Google Cloud's Contact Center AI (CCAI) suite. This role demands a visionary leader who can bridge the gap between business objectives and AI-driven customer experience innovations. As a senior leader, you will drive architectural decisions, guide cross-functional teams, and define the roadmap for scalable and intelligent virtual agent platforms.Roles & Responsibilities:- Own the end-to-end architecture and solution design for large-scale CCAI implementations across industries.- Define best practices, reusable frameworks, and architectural patterns using Google Dialogflow CX, Agent Assist, Knowledge Bases, and Gen AI capabilities.- Act as a strategic advisor to stakeholders on how to modernize and transform customer experience through Conversational AI.- Lead technical teams and partner with product, operations, and engineering leaders to deliver high-impact AI-first customer service platforms.- Oversee delivery governance, performance optimization, and scalability of deployed CCAI solutions.- Evaluate and integrate cutting-edge Gen AI models (LLMs, PaLM, Gemini) to enhance virtual agent performance and personalization.- Enable and mentor architects, developers, and consultants on Google Cloud AI/ML tools and CCAI strategies.- 10+ years of experience in enterprise solution architecture, with 4+ years in Google Cloud AI/ML and Conversational AI platforms.- Deep expertise in Dialogflow CX, CCAI Insights, Agent Assist, Gen AI APIs, and GCP architecture.Strong leadership in managing large transformation programs involving AI chatbots, voice bots, and omnichannel virtual agents.- Proven ability to engage with senior stakeholders, define AI strategies, and align technical delivery with business goals.- Experience integrating AI solutions with CRMs, contact center platforms (e.g., Genesys, Five9), and backend systems.- Certifications in Google Cloud (e.g., Professional Cloud Architect, Cloud AI Engineer) are a strong plus.- Exceptional communication, thought leadership, and stakeholder management skills.Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques.- Experience with chatbot, generative AI models, prompt Engineering.V- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 18+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15-year full time education is required Qualification 15 years full time education

About The Role The Conversational Assistants team brings together Uber's products, state-of-the-art cognitive technologies and Uber's engineering infrastructure to deliver automated conversational assistants a.k.a chatbots to provide enhanced customer experience. Our chatbots are capable of interacting with customers, performing cognitive analysis of customer interactions in real time and responding and interacting automatically with the customers. Our automated assistants are built on dialogue management frameworks, Uber's support logic, natural language understanding models and customer communication data to deliver an automated support experience that reduces burden on human agents and provides faster responses to customers. We constantly thrive on providing the next generation of customer assistants, which are a result of Uber's big, bold bets. As a result, we are building the next generation of chatbots leveraging GenAI models to provide more personalised, empathetic, human-like conversations that are also compliant with Uber's business policies . ---- What the Candidate Will Do ---- We are seeking a strong and passionate software engineer with experience in building chatbots. You will be responsible for creating scalable, reliable, and manageable chatbots that deliver on conversational requirements at Uber by bringing together LLM prompts and Assistant building platforms at Uber. You will be owning customer-facing chatbots that impact the support experience of millions of customers. You will also be leading the NLP based chatbot to GenAI based chatbot migrations as well as augmenting the existing GenAI chatbots with new features and capabilities. Your responsibility will include identifying required changes across Uber's engineering ecosystem, collaborating with engineering teams, driving consensus, and implementing extensible, maintainable changes required to build state-of-the-art support experiences. We are looking for someone who has a passion for designing and driving large projects from inception to production. The right person will work with stakeholders, product managers, scientists, and partner engineering teams to gather requirements and translate them into a platform feature. Must be a great communicator, team player, and a technical powerhouse. Basic Qualifications 5+ years of experience in software development. Experience with: Scalable system architecture design Production-quality services, deployment, monitoring, and reliability. Microservice designs, gRPC or REST API development Ability to decompose complex business problems into clean, extensible, performant services and systems Logging, monitoring, performance troubleshooting and tuning experience Excellent problem-solving skills and the ability to work in a collaborative team environment Comfortable in navigating multi-disciplinary teams with respect Focus on code quality in terms of coverage, code reviews Excellent technical writing skills to communicate design, requirements, flows, and architecture Fluent in one of these programming languages: Golang, Scala, Java, Comfortable in one of these scripting languages: JavaScript, Python Solid understanding of algorithms, data structures, and software design principles. Experience with version control systems such as Git. Preferred Qualifications Experience in machine learning, GenAI, or LLM technologies. Experience with building conversational assistants Dialogue management systems like Google Dialogflow, Amazon Alexa Familiarity with large-scale distributed systems like Kafka and cloud platforms like AWS, GCP, or Azure. Familiarity with communication channel interfaces eg, WhatsApp, SMS, Slack