263 Dialogflow Jobs - Page 8

Experience : 3.00 + years Salary : USD 18000-30000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Steer Health) What do you need for this opportunity? Must have skills required: Airflow, Kubeflow, LangChain, RAGFlow, TensorFlow, Dialogflow, FastAPI, LLMs, Pytorch, Python Steer Health is Looking for: About The Role Steer Health is seeking a talented **Backend Engineer** with expertise in AI/ML and healthcare technologies to design and implement **AgenticAI workflows** that redefine clinical and operational processes. You’ll build scalable backend systems that integrate FHIR-compliant APIs, LLM-driven automation, and conversational AI to solve real-world healthcare challenges. If you’re passionate about Python, AI workflows, and making a tangible impact in healthcare, this role is for you. Key Responsibilities FastAPI to enable seamless data exchange across EHRs, patient portals, and AI agents. Architect AI-driven workflows using tools like RAGFlow or similar platforms to automate tasks such as clinical documentation, prior authorization, and patient triage. Develop and fine-tune LLM-based solutions (e.g., GPT, Claude) with PyTorch, focusing on healthcare-specific use cases like diagnosis support or patient communication. Integrate Dialogflow for conversational AI agents that power chatbots, voice assistants, and virtual health aides. Collaborate on prompt engineering to optimize LLM outputs for accuracy, compliance, and clinical relevance. Optimize backend systems for performance, scalability, and security in HIPAA-compliant environments. Partner with cross-functional teams (data scientists, product managers, clinicians) to translate healthcare needs into technical solutions. Qualifications 3+ years of backend engineering experience, with expertise in Python and frameworks like FastAPI or Flask. Hands-on experience with **PyTorch/TensorFlow** and deploying ML models in production. Familiarity with AI workflow tools (e.g., RAGFlow, Airflow, Kubeflow) and orchestration of LLM pipelines. Experience integrating Dialogflow or similar platforms for conversational AI. Strong understanding of LLMs (training, fine-tuning, and deployment) and prompt engineering best practices. Knowledge of cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes). Passion for healthcare innovation and improving patient/provider experiences. Preferred Qualifications Experience in healthcare tech (EHR integrations, HIPAA compliance, HL7/FHIR). Contributions to open-source AI/healthcare projects. Familiarity with **LangChain**, **LlamaIndex**, or agentic workflow frameworks. Why Join Steer Health? Impact: Your work will directly enhance healthcare delivery for millions of patients. Innovation: Build with the latest AI/ML tools in a fast-paced, forward-thinking environment. Growth: Lead projects at the intersection of AI and healthcare, with opportunities for advancement. Culture: Collaborative, mission-driven team with flexible work policies. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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. Show more Show less

Under general guidance, the AI Engineer will be responsible for collaborating with the Information Security organization to analyse current-state business processes and develop automated workflows using Generative AI chatbot technology to increase efficiency and quality. The AI Engineer will develop and support AI-driven chatbot solutions for cross-functional teams across our diverse and growing Infosec organization. This role will also demand building AI Agents that can reason and interact with users and other systems. We look for self-motivated individuals who can function and adapt in an Agile development model with iterative delivery, incorporating feedback rapidly into delivery components. Key Responsibilities Collaborate with the Information Security organization to analyse and design process workflows, build, test, and implement AI solutions, ensuring system quality. Assess AI opportunities from a technical standpoint, perform technical feasibility studies, and develop optimal solutions. Contribute to Solution Design Documents (SDD) or Technical Design Documents (TDD) with a focus on reusability. Work with other IT teams and architects to identify the right technologies, avoiding redundancy and ensuring the best fit for proposed AI solutions. Maintain a thorough understanding of technology, quality tools, and process design; think creatively when enhancing existing processes and fixing code errors. Adapt to changes in the work environment, manage multiple competing demands, and handle frequent changes, delays, or unexpected events calmly and logically. Participate in after-hour escalations to assist on-call team members. Requirement Preferred bachelor’s degree or equivalent in Computer Science or related discipline. Minimum 3-6 years of relevant work experience in AI development, including Generative AI chatbots, NLP, and related technologies. Proficiency in languages such as Python, JavaScript, Java, or C# Experience with NLP libraries and frameworks like NLTK, spaCy, or Stanford NLP, and platforms like Dialogflow, IBM Watson, or Microsoft LUIS Understanding of machine learning concepts and frameworks such as TensorFlow, PyTorch, or scikit-learn for building intelligent chatbots Proficient in implementing Retrieval-Augmented Generation (RAG) and vector-based search techniques to enhance AI-driven information retrieval and contextual response generation Knowledge of RESTful APIs and experience with integrating chatbots with various platforms Familiarity with SQL and NoSQL databases for storing conversation data and user information. Proficiency in Agentic AI, including the ability to build AI agents that can autonomously solve complex, multi-step problems using sophisticated reasoning and iterative planning. Basic understanding of front-end technologies (HTML, CSS, JavaScript) to integrate chatbots into web applications Experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying and scaling chatbots Strong analytical and problem-solving abilities to debug issues and improve chatbot performance. Ability to work collaboratively and communicate effectively with cross-functional teams, including designers, product managers, and other developers. Ability to work collaboratively and communicate effectively with cross-functional teams, including designers, product managers, and other developers. Experience with end-to-end AI management and SDLC cycle using Agile methodology. Experience with Microsoft Power Apps Automation, Co-Pilot AI, including chatbots and conversational AI, OCR tools, and Power BI is an advantage. Practical experience in implementing LEAN, AGILE, and Design Thinking is preferred. Preferred Qualifications Pay Transparency: Pay Additional Details: FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace. Show more Show less

The Python, Digital :Chatbots / Conversational Agents role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Python, Digital :Chatbots / Conversational Agents domain.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India . Minimum qualifications: 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. Preferred qualifications: Experience in building chatbots or voicebots with Dialogflow, with 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 The Job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build virtual agent solutions on Google’s core conversational AI platforms such as Dialogflow. Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of Contact Center AI solutions becoming a trusted advisor to decision-makers throughout the engagement. Interact with business partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines to ensure successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on field experience. Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to customer requirements. Travel approximately 30% of the time for client engagements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India . Minimum qualifications: 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. Preferred qualifications: Experience in building chatbots or voicebots with Dialogflow, with 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 The Job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build virtual agent solutions on Google’s core conversational AI platforms such as Dialogflow. Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of Contact Center AI solutions becoming a trusted advisor to decision-makers throughout the engagement. Interact with business partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines to ensure successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on field experience. Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to customer requirements. Travel approximately 30% of the time for client engagements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Skill : Conversational Designer Experience : 3 years - 9 Years Location - PAN India Job Summary Role Overview: We are seeking a Senior Conversation Designer to design and optimize conversational experiences for AI assistants and chatbots. You’ll play a key role in creating seamless user interactions, collaborating with cross-functional teams, and contributing to innovative conversational solutions across diverse platforms. Qualifications 3–5 years of experience in designing chatbot and virtual assistant solutions. Bachelor’s or master’s degree. (Good to have the degrees in Linguistics, Script writing, Communications, Human-Computer interaction, UX Design, or any related field). Strong collaboration and communication skills for working with technical and non-technical stakeholders. Experience with user research, prototyping, and conversation flow design. Interest in emerging technologies like AI, ML and NLP to improve conversational experiences. Technical Expertise Proficiency in designing conversational flows using platforms such as Kore.AI, Dialogflow, Amazon Lex, Rasa, Voiceflow etc... Experience with NLP tools to improve intent recognition and user satisfaction (Good to have, not mandatory). Ability to analyze conversation data and optimize flows based on insights (Good to have, not mandatory). Familiarity with AI/ML applications for enhancing chatbot efficiency (Good to have, not mandatory). Skills Required Conversation and Chatbot Design expertise. Strong Interaction Design and User-Centric Design skills. Excellent English language proficiency with a focus on clarity and engagement. Problem-solving mindset with a user-first approach. Data analysis skills to interpret chatbot performance metrics. Ability to collaborate effectively across cross-functional teams. Job Description Design and prototype conversational flows for AI assistants and chatbot solutions. Collaborate with cross-functional teams including product managers, developers, and UX designers to ensure alignment with business goals. Analyze chatbot performance metrics to identify gaps and areas for improvement. Optimize dialogue flows for intent accuracy, reduced drop-offs, and better escalation workflows. Assist in user testing and feedback analysis to enhance conversational designs. Support localization efforts for multi-language chatbot deployments. Stay updated with industry best practices and emerging trends in conversation design. Document design decisions and create reusable templates for scalability. If you're passionate about shaping the future of AI-driven conversational experiences and thrive in collaborative, fast-paced environments, we'd love to hear from you! Show more Show less

This role is for one of the Weekday's clients Min Experience: 3 years JobType: full-time Are you passionate about pushing the boundaries of human-computer interaction? Do you have a flair for building cutting-edge voice AI technologies that transform the customer experience? We are looking for an experienced Principal Software Engineer- AI to join our innovative team and help us design, develop, and deploy AI-powered calling agents. As a Principal Software Engineer- AI , you will play a pivotal role in creating next-generation voice systems by combining your expertise in Text-to-Speech (TTS) , Natural Language Processing (NLP) , Machine Learning (ML) , and Data Science . Your work will directly impact the design of lifelike conversational agents capable of seamless interactions with human users. You'll collaborate with cross-functional teams, including data scientists, software engineers, product managers, and linguists, to deliver exceptional voice-driven solutions. Requirements Key Responsibilities: Design and develop scalable Voice AI calling agents using state-of-the-art TTS and NLP techniques. Build and fine-tune text-to-speech systems to produce natural, human-like speech output tailored for diverse customer interactions. Develop and optimize NLP pipelines for intent recognition, named entity extraction, sentiment analysis, and context-aware dialogue management. Integrate machine learning models and AI frameworks to enhance conversation flow, personalize interactions, and improve response accuracy. Apply data science principles to analyze large datasets, identify performance bottlenecks, and continuously improve voice AI models. Collaborate closely with data annotation and linguistic teams to enhance language models and ensure high-quality speech synthesis and comprehension. Conduct rigorous testing, validation, and performance tuning of the AI calling agents to ensure seamless, real-time voice interactions. Stay abreast of the latest advancements in TTS, NLP, ML, and voice AI technologies, and apply innovative solutions to business challenges. Document system architecture, workflows, and best practices to support long-term scalability and maintainability. Required Skills & Qualifications: 3-6 years of hands-on experience in developing voice-based AI solutions, including TTS, NLP, and conversational AI applications. Solid understanding of text-to-speech (TTS) engines, speech synthesis techniques, and audio signal processing. Proven experience with natural language processing (NLP) frameworks such as spaCy, NLTK, Transformers, or similar libraries. Strong foundation in machine learning and data science, with proficiency in Python, TensorFlow, PyTorch, or similar tools. Experience working with voice AI platforms and APIs (e.g., Google Dialogflow, Amazon Lex, Microsoft Bot Framework). Knowledge of dialogue management, speech recognition systems, and conversational flow design. Ability to analyze large datasets and apply statistical methods and AI algorithms to enhance system performance. Strong problem-solving, collaboration, and communication skills to work effectively in cross-functional teams. Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Computational Linguistics, or a related field. Preferred: Familiarity with neural TTS models (e.g., Tacotron, WaveNet) and transformer-based NLP models. Experience in developing real-time voice applications with low-latency requirements. Exposure to cloud-based voice solutions (AWS, GCP, Azure) for scalable deployments. Show more Show less

Job Title: Product Analyst – Conversational AI Solutions How to Apply? Send your resumes to hr@whitemastery.com Role Overview We’re seeking a data-driven, detail-oriented Product Analyst to support the delivery, performance optimization, and continuous improvement of our AI-powered voicebot and chatbot solutions. You’ll play a key role in analyzing user interactions, identifying trends, and helping shape product decisions that drive real-world impact across industries like Real Estate, Telecom, Hospitality, Healthcare, and Logistics. As a Product Analyst, you’ll work at the intersection of data, product, and customer experience—ensuring our conversational AI products are delivering maximum value and continuously evolving based on user behavior and client feedback. Key Responsibilities Product Performance Analysis Analyze bot performance data across platforms (WhatsApp, Web, IVR, etc.) to identify friction points and optimization opportunities. Monitor key metrics such as containment rate, engagement rate, NLU accuracy, and user satisfaction. Build dashboards and reports that provide actionable insights for internal teams and clients. User Behavior & Feedback Insights Study conversational flows to understand user intent, drop-offs, and escalation triggers. Collect and synthesize client feedback to support product improvement efforts. Partner with AI trainers to refine NLP models and intent recognition based on analysis. Cross-functional Collaboration Work with product managers, solution engineers, and designers to enhance user experience based on data findings. Collaborate with customer success and delivery teams to prioritize feature requests and performance tuning. Support Implementation & Testing Assist in the testing and validation of new features and bot workflows prior to deployment. Ensure that product releases meet quality standards and are aligned with business goals. Client & Stakeholder Reporting Support client onboarding by presenting insights and expected ROI based on similar deployments. Provide regular reporting to clients highlighting key outcomes, adoption trends, and next steps. Required Skills & Qualifications 1–3 years of experience in product analytics, business analysis, or data analysis (preferably in SaaS or AI solutions). Strong analytical skills with proficiency in tools like Excel, SQL, Google Analytics, Mixpanel, or similar. Solid understanding of conversational AI, user journey mapping, and product performance metrics. Excellent communication and storytelling skills—ability to present data in a clear, actionable manner. Bonus: Experience with chatbot platforms (e.g., Dialogflow, Rasa), and analytics tools like Tableau, Power BI, or Looker. Job Type: Permanent Pay: ₹25,000.00 - ₹30,000.00 per month Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Company Description AILIFEBOT, founded in 2016, is a leader in developing chatbots and Conversational User Interface (CUI) technologies. We are pioneers in transforming the business-customer connection through advanced AI-powered chatbot solutions. Our mission is to blend human-like interactions with intelligent automation, enhancing customer experiences, optimizing operations, and fostering sustained growth. We serve multiple industries, including events, travel, healthcare, finance, restaurants & hotels, real estate, and education and training. Role Description This is a full-time on-site role for an AI Agents Developer, based in Noida. The AI Agents Developer will be responsible for designing, developing, and maintaining AI-powered chatbots, handling end-to-end chatbot development cycles, collaborating with cross-functional teams to integrate chatbot solutions, performing regular updates and optimizations, and ensuring high performance and scalability of chatbot functionalities. Qualifications Strong expertise in AI technologies, machine learning, and natural language processing (NLP) Proficiency in programming languages such as Python, JavaScript, and Node.js Experience with chatbot frameworks and platforms like Dialogflow, IBM Watson, or Microsoft Bot Framework Skills in data analysis, understanding of algorithms, and ability to leverage data for chatbot training Excellent problem-solving skills, innovative mindset, and attention to detail Good communication and teamwork abilities Bachelor’s or higher degree in Computer Science, Engineering, or related field Experience in the AI and chatbot industry is a plus Show more Show less

Job Title: Senior Generative AI Developer Job Summary We are seeking a Senior Generative AI Developer to design, develop, and optimize AI-powered applications using LLMs, NLP, and AI orchestration frameworks. The ideal candidate will have hands-on experience with Generative AI models, cloud-based AI deployments (Google Vertex AI preferred), and multi-agent AI architectures. Key Responsibilities Develop and fine-tune Generative AI models (GPT, Gemini, Claude) for real-world applications. Build Conversational AI solutions using VertexAI Agent Buider or frameworks like LangChain, CrewAI, Langraph. Implement agentic AI architectures for autonomous task execution. Implement Multi agentic AI architectures for autonomous task execution. Deploy and optimize AI models on cloud platforms (Google Vertex AI, AWS, Azure) Work with retrieval-augmented generation (RAG), embeddings, and vector databases. Integrate AI models with APIs, databases, and enterprise applications. Ensure AI solutions are scalable, efficient, and compliant with industry standards. Stay updated on emerging AI trends and contribute to innovation initiatives. Required Skills & Qualifications 5+ years of experience in AI/ML, with a focus on Generative AI and NLP. Strong expertise in LLMs, Transformers, and AI orchestration frameworks. Experience with Python, TensorFlow, PyTorch, LangChain, or similar AI libraries. Hands-on experience in cloud AI deployments (Google Vertex AI CCAI/Dialogflow CX/Agent builder preferred). Understanding of multi-agent AI systems and automation. Experience with vector databases, embeddings, and RAG. Strong problem-solving skills and ability to work in an agile environment. Preferred Skills Experience in LLM fine-tuning, prompt engineering, and reinforcement learning. Experience integrating AI with enterprise-grade applications. Show more Show less

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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India . Minimum qualifications: 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. Preferred qualifications: Experience in building chatbots or voicebots with Dialogflow, with 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 the job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build virtual agent solutions on Google’s core conversational AI platforms such as Dialogflow. Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of Contact Center AI solutions becoming a trusted advisor to decision-makers throughout the engagement. Interact with business partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines to ensure successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on field experience. Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to customer requirements. Travel approximately 30% of the time for client engagements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India . Minimum qualifications: 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. Preferred qualifications: Experience in building chatbots or voicebots with Dialogflow, with 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 the job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build virtual agent solutions on Google’s core conversational AI platforms such as Dialogflow. Work with customer technical leads, client executives, and partners to scope, manage, and deliver successful implementations of Contact Center AI solutions becoming a trusted advisor to decision-makers throughout the engagement. Interact with business partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines to ensure successful client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on field experience. Propose solution architectures and manage the deployment of cloud based virtual agent solutions according to customer requirements. Travel approximately 30% of the time for client engagements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Job Title: Cognitive Lead – Google Cloud AI Solutions (Band C) Reporting To: AVP / Sr. AVP Location: India Experience Required: 10+ Years Education: B.Tech or equivalent degree Job Summary We are looking for a Cognitive Lead (Band C) with deep technical expertise in Google Cloud AI technologies , particularly Dialogflow CX , Vertex AI , and Gemini , to lead the design and development of intelligent automation and conversational AI solutions. The ideal candidate will bring strong programming skills, hands-on experience with modern AI/ML frameworks, and a passion for developing scalable, production-grade solutions on the Google Cloud Platform (GCP) . This is a senior developer role with leadership responsibilities to guide development teams on coding standards , AI solutioning , and engineering best practices . Key Responsibilities AI Solution Development Design, develop, and deploy AI/ML solutions leveraging Google Dialogflow CX, Vertex AI, and Gemini. Develop scalable Conversational AI and Natural Language Understanding (NLU) applications on GCP. Build and maintain microservices and APIs to support AI applications. Technical Leadership Act as a technical mentor and guide to developers, enforcing coding standards, architecture patterns, and best practices. Conduct peer reviews and ensure high code quality and performance. Hands-on Development Write clean, efficient, and maintainable code using Python, Java, and Node.js. Leverage frameworks such as TensorFlow, PyTorch, and Scikit-learn for AI/ML model development and training. Collaboration & Strategy Work closely with Product Owners, Cloud Architects, and Data Scientists to convert business requirements into technical solutions. Collaborate with cross-functional teams to align AI solutions with enterprise architecture. Domain Expertise Apply domain-specific knowledge of US Healthcare and Insurance to shape relevant and compliant AI solutions. Ensure solutions meet industry standards, security, and regulatory requirements. Required Qualifications And Skills 10+ years of overall IT experience with at least 3+ years in AI/ML and Google Cloud technologies. Proven hands-on experience with Google Dialogflow CX, Vertex AI, and Gemini. Strong programming skills in Python, Java, and Node.js. Expertise in AI/ML frameworks: TensorFlow, PyTorch, Keras, and Scikit-learn. Experience implementing and scaling AI solutions on Google Cloud Platform (GCP). Knowledge of containerization and orchestration tools (Docker, Kubernetes) is a plus. In-depth understanding of US Healthcare and Insurance domain workflows and data sensitivities. Strong communication skills with the ability to mentor developers and interface with technical leaders. Bachelor’s Degree in Engineering (B.Tech); certifications in GCP or ML preferred. Nice to Have GCP certifications like Professional Machine Learning Engineer or Professional Cloud Developer. Experience with CI/CD pipelines, DevOps practices, and version control (Git). Familiarity with privacy, HIPAA, and data protection standards in Healthcare Show more Show less

Job Description Overview: Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor's Best Places to Work. Seeking an astute individual that has a strong technical foundation with ability to be hands-on on developing/building automation to improve efficiency, productivity, and customer experience. D eep knowledge of industry best practices, with the ability to implement them working with larger team cloud, support, and the product teams. Scope: We are seeking a highly skilled AI/Prompt Engineer to design, implement, and maintain artificial intelligence (AI) and machine learning (ML) solutions for our organization. The ideal candidate will have a deep understanding of AI and ML technologies, as well as experience with data analysis, software development, and cloud computing. Primary Responsibilities: Design and implement AI/ conversational AI solutions and ML solutions to solve business problems and to improve customer experience and operational efficiency. Develop and maintain machine learning models using tools such as TensorFlow, Keras , and PyTorch Collaborate with cross-functional teams to identify opportunities for AI and ML solutions and develop prototypes and proof-of-concepts . Develop and maintain data pipelines and ETL processes to support AI and ML workflows. Monitor and optimize model performance, accuracy, and scalability Stay up to date with emerging AI and ML technologies and evaluate their potential impact on our organization. Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures Provide technical guidance and mentorship to other members of the data engineering and software development teams. Develop and maintain chatbots and voice assistants using tools such as Dialogflow , Amazon Lex, and Microsoft Bot Framework Develop and maintain integrations with third-party systems and APIs to support conversational AI workflows. Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures. Provide technical guidance and mentorship to other team members. What we are looking for: Bachelor's degree in computer science, Information Technology, or a related field with 3+ years of experience in conversational AI engineering, design, and implementation Strong understanding of NLP technologies, including intent recognition, entity extraction, and sentiment analysis Experience with software development, including proficiency in Python and familiarity with software development best practices and tools (Git, Agile methodologies, etc.) Familiarity with cloud computing platforms (AWS, Azure, Google Cloud) and related services (S3, EC2, Lambda, etc.) Experience with big data technologies (Hadoop, Spark, etc.) Experience with containerization (Docker, Kubernetes) Experience with data visualization tools (Tableau, Power BI, etc.) Experience with reinforcement learning and/or generative models. Experience with machine learning technologies and frameworks (TensorFlow, Keras , etc.) Experience with big data technologies (Hadoop, Spark, etc.) Strong communication and collaboration skills Strong attention to detail and ability to prioritize tasks effectively. Strong problem-solving and analytical skills Ability to work independently and as part of a team. Strong attention to detail and ability to prioritize tasks effectively. Experience working with cloud platforms like AWS, Google Cloud, or Azure. Knowledge of big data technologies such as Apache Spark, Hadoop, or Kafka is a plus. Strong problem-solving and analytical skills. Ability to work in an agile and fast-paced development environment. Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours Find out here: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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

Position Name : Senior Voice AI Developer / Voice AI Architect Experiencev : 5 to 8 yrs Job Type : Permanent Location : Sector-142, Noida Position Summary : We are looking for a dynamic Senior Voice AI Developer / Voice AI Architect to spearhead our AI initiatives, guiding the integration of artificial intelligence into various aspects of our business. You will design AI systems from the ground up, collaborate with multidisciplinary teams to tailor AI solutions to specific business needs, and ensure these solutions are scalable and sustainable. Your expertise will help us harness the power of AI to drive innovation, improve decision-making, and maintain competitive advantage in our industry. Key Responsibilities : - Design, develop, and oversee the implementation of end-to-end AI solution - Collaborate with business and IT stakeholders to understand and fulfill the AI needs of the organization - Create architectural approaches for AI software and hardware integration - Define AI solution objectives and ensure alignment with business outcomes - Monitor AI industry trends and maintain state-of-the-art industry knowledge - Implement best practices for AI testing, deployment, and maintenance Qualifications : - Candidates should be B.tech/M.tech/MCA (CSE/IT) preferably from premium institutes. - 5+ years of experience in Node.js / javascript / TypeScript - 3+ years of relevant experience in AI Frameworks Mandatory Skills : - Google Dialog flow, Google STT/TTS & Nodejs Node.js: Competent in developing and maintaining applications. GCP Services: Proficient in GCP logs, services, and custom deployment configurations. Dialog flow Expertise: Strong understanding of conversational agent design and integration for Voice Applications. Speech-to-Text & Text-to-Speech: Functional knowledge of speech processing. Functional Knowledge of Audio Streaming/Processing Applications Function Knowledge of Conversational AI Generative AI: Foundational understanding of Gen AI concepts and applications. - Proven understanding of scalable computing systems, microservices architectures, software architecture, data structures, and algorithms - Working with defined processes and policy (e.g. Peer review, test driven development, coding standards and deployment process) - Excellent proven analytical problem solving skills. - Self-motivated high performer and able to perform with minimal supervision, who can lead by example. - Excellent written and verbal communication skills. Good To Have : - Open AI - Real Time API - Exp. in Integration with Azure Open AI - Working Knowledge of Any CCAI Framework/Applications - Audio Intelligence Frameworks - Experience with Back-end technologies like NoSQL, RDBMS, Cache Management - Experience working with AWS Technologies - Lambda, API Gateway, S3 - Agile Development Methodology - Experience to work with geographically distributed teams - Knowledge of any CRM (WFM) will be a bonus, preferably ServiceNOW is a big plus. Benefits : - Flexible Working Hours. - Hybrid Working Style. - Personal Accidental Insurance. - Health Insurance to Self, Spouse and two kids. - 5 days working week.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are looking for a lead developer to design, build, and implement voice bot solutions that meet business needs. candidate will be responsible for defining technical solutions from end-to-end, creating clear documentation, and working closely with development and business teams to deliver high-quality products. This role involves all phases of software engineering and requires Solid collaboration skills in a dynamic, matrixed organization. Bot Development - Design, Develop and deploy conversational applications using Azure Bot Framework on Google Dialog flow Requirements analysis and estimation Investigate issues and provide analysis Defect tracking, troubleshooting, reporting, and analysis Collaborate with cross-functional teams to integrate bots for optimized functionality and scalability. Primary Responsibilities Define and architect end-to-end solutions, proactively engaging with external teams throughout the project Create clear, concise documentation for backend integrations, business logic, and technical details Collaborate closely with development teams and business stakeholders to communicate design overviews and integration plans Translate requirements into technical design and implementation ensuring alignment with architectural standards Mentor Junior developers by providing technical guidance and promote best practices Manage all phases of the software development lifecycle, including requirements analysis, application design, code development, and testing Design and develop reusable components, patterns, and frameworks to drive innovation and enhance team productivity Develop, test, and implement voice bots using technologies such as Google Dialog Flow, Amazon Lex, or similar cloud platforms Serve as the subject-matter expert on voice bot development and design best practices Utilize CI/CD and IaC tools (e.g., Jenkins, Terraform) and version control systems (e.g., GitHub) to maintain efficient and effective development processes Occasionally work off-hours as needed to support implementation windows (no regular on-call requirements) Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so This role offers an exciting opportunity to lead innovative bot development projects while working in a collaborative team environment. Required Qualifications Bachelor's degree and equivalent 6+ years of experience in software development in analysis, design, development, deployment and testing phases with a broad technical background in architecture definition and Enterprise or voice-based systems implementation Hands-on experience in developing chatbots or Voice BOTs (voice bots preferred) Experience with any of the tool Bot Framework Composer (Azure), Google Dialogflow (Google) or Amazon Lex (Amazon) Experience with CI/CD continuous integration/continuous delivery tools like Jenkins Pipeline, GitHub, Terraform etc. Experience with build automation tools like Maven Experience with cloud platforms, preferably Google Cloud and AWS Solid understanding of Contact Center technologies with specialization in any cloud platform like Azure, AWS or Google cloud Solid understanding of Contact Center technologies with experience in cloud-based voice bot platforms Demonstrated ability to develop and manage robust conversational applications Familiarity with Google Dialogflow and Playbook is added advantage Familiarity with continuous integration or continuous delivery tools and source code repositories Knowledge of application monitoring software and tools such as Splunk Proven highly motivated team player with excellent interpersonal, technical and communication skills along with strong analytical and debugging abilities Proven excellent written and oral communication skills, with the ability to effectively collaborate across multiple teams At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

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.

Job Title: Software Developer Company Website: https://elitewebtechnologies.com/ Location: MDC, Panchkula Job Type: Full-Time Experience Required: 5+ Years Job Description: We are seeking a highly skilled and experienced Software Developer with over 5 years of hands-on experience in React JS , React Native , TypeScript , and Flutter . The ideal candidate should have a strong background in front-end and mobile technologies, leadership experience, and a passion for modern, scalable, and performance-driven development. Experience with blockchain and offline-first mobile development is a strong plus. Core Skills & Requirements 5+ years of experience with React JS , React Native , and Flutter Strong command of TypeScript , JavaScript (ES6+) , and Dart Proficient in Redux , Tailwind CSS , and component-based architecture Understanding of native Android/iOS development basics Ability to lead, mentor, and collaborate in agile environments Good to have experience in: Code Push, React Navigation, Firebase Messaging, App Store deployment, Play Store optimization Mobile-First & Offline-Capable Development Expertise in building offline-first mobile applications Familiar with Realm , Couchbase Lite , SQLite , Firebase Good to have experience in: Data synchronization, conflict resolution, encrypted local storage, mobile-first UX design Architecture & State Management Strong knowledge of modern app architecture and design patterns Experience with state management systems like: FLUX , REDUX , MOBX , MVVM , BLOC , Cubit , Providers , River Pod Good to have experience in: Multi-layered architecture, modular design, clean architecture practices Professional Traits & Leadership Self-motivated, innovative, and result-oriented Demonstrated ability to lead teams , manage code quality, and oversee project delivery Skilled at mediation and conflict resolution Strong communication and mentorship abilities Good to have experience in: Scrum, Agile methodologies, sprint planning, peer reviews, technical documentation Domain Expertise Proven experience in building applications for: e-Commerce Social Networking Fitness & Healthcare Blockchain-based platforms (preferred) Good to have experience in: DApps, smart contracts (Solidity), NFTs, crypto wallets, HIPAA-compliant applications Databases & Storage Practical experience with: SQLite, Realm, Hive, Couchbase Lite, MongoDB Good to have experience in: Database indexing, performance tuning, real-time sync Tools & Platforms Comfortable using: Jenkins, JIRA, VS Code, Confluence, Git, Xcode, Android Studio, Slack, Fastlane, CircleCI, MS App Center Good to have experience in: CI/CD pipelines, build automation, crash reporting tools, test automation tools External SDKs & Integrations Experience integrating: Facebook, Twitter, LinkedIn, Google, Stripe, PayPal, RazorPay, Quickblox, OpenTok, Agora, SendBird, Annie App, Amplitude Analytics, Google Maps, HERE Maps, SignalR, Pub-Sub, Socket.IO, AWS Amplify, WebRTC, Dialogflow, IBM Watson, Google Vision APIs, AppsFlyer, GrowthRx Good to have experience in: Custom SDKs, real-time communication, chat/video APIs, analytics, third-party service orchestration Ready to accelerate your Software development journey with us? Apply now by sending your CV to: hr@elitewebtechnologies.com For queries, contact: +91 91151 52125 Job Type: Full-time Pay: From ₹50,000.00 per month Schedule: Day shift Fixed shift Ability to commute/relocate: Panchkula, Haryana: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: total work: 3 years (Preferred) Software development: 5 years (Preferred) Work Location: In person

We are looking for a skilled professional with hands-on experience in developing conversational AI solutions, including virtual agents and NLP-based applications. Key Responsibilities: Experience in development of virtual agents (Chatbots, Voicebots) and natural language processing Experience working with one or more AI/NLP platforms Cognigy AI, DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson etc. Knowledge of one or more of the following technologies: Typescript, JavaScript, 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 Good problem-solving ability Qualifications: Experience in building end-to-end pipelines for developing AI-based conversational applications Strong understanding of API integrations, single sign-on (SSO), and token-based authentication Hands-on experience with Postman for API testing, automation, and debugging Knowledge of CI/CD pipelines (ex: Bamboo, Bitbucket) with end-to-end automation Ability to develop unit test cases in line with project-specific standards Proficient in working with HTTP, sockets, REST, and other web services Skilled in extracting keywords and topics from chat logs Preferred Qualifications: Familiarity with Chatbot tool Cognigy AI Experience working on Generative AI and Agentic AI Experience in Typescript, NodeJS Familiarity with Sprinklr Tool.

Join SADA as a Contact Center AI Architect! Your Mission We are seeking a highly skilled and experienced Contact Center and Conversational AI Architect to join our team. The ideal candidate will possess over 10 years of experience in the field of Contact Center implementations, and more recently, Conversational AI, with substantial experience on at least one major cloud-based contact center platform, such as: Google Contact Center AI Platform Amazon Connect Genesys Cloud CX Nice CXone Five9 The Architect will play a critical role in designing, implementing, and deploying AI-powered contact center solutions for our clients. They will be responsible for providing technical leadership, mentoring team members, and ensuring the successful delivery of projects. Responsibilities: Solution Design and Architecture: Design and architect end-to-end CCAI solutions, including CCaaS implementations, conversational AI flows, and integrations with backend systems Hands-on Development: Lead and participate in the development of complex Conversational AI components, demonstrating hands-on expertise in building and deploying conversational AI solutions Pre-Sales Support: Collaborate with sales teams to provide technical expertise during pre-sales activities, including solution demonstrations, proposals, and technical workshops Team Leadership and Mentorship: Provide technical guidance and mentorship to junior engineers and developers, on best practices, and troubleshooting techniques fostering a culture of knowledge sharing and continuous improvement Stay Up-to-Date: Maintain up-to-date knowledge of the latest advancements in Google Contact Center AI, Conversational Agents (Dialogflow CX), and Vertex AI Generative AI features and capabilities. Required Qualifications: Over 10 years of experience in IT, serving clients across North America, Canada, and EMEA regions. Proven experience designing, building, and deploying contact center and conversational AI solutions. Strong understanding of contact center operations, and technologies. Excellent communication, presentation, and interpersonal skills. Preferred Qualifications: Familiarity with Agile development methodologies. Industry certifications in relevant technologies. Experience tuning applications for non-functional requirements, i.e., usability, maintainability, scalability, availability, security, portability, etc. Exposure to relational and NoSQL datastores Familiarity with frontend web technologies, particularly React or Angular Experience using cloud offerings and solutions (Google Cloud Platform, Microsoft Azure, or Amazon AWS) Pathway to Success Our singular goal is to provide customers the best possible experience in building, modernizing, and maintaining applications in Google Cloud Platform. Your success starts by positively impacting the direction of a dynamic practice with vision and passion. You will be measured quarterly by the breadth, magnitude and quality of your contributions, your ability to estimate accurately, customer feedback at the close of projects, how well you collaborate with your peers, and the consultative polish you bring to customer interactions. As you continue to execute successfully, we will build a customized development plan together that leads you through the engineering or management growth tracks. About SADA An Insight company Values: We built our core values on themes that internally compel us to deliver our best to our partners, our customers and to each other. Ensuring a diverse and inclusive workplace where we learn from each other is core to SADA's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer. Hunger Heart Harmony Work with the best: SADA has been the largest Google Cloud partner in North America since 2016 and, for the eighth year in a row, has been named a Google Global Partner of the Year. Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for 15 years in a row, garnering Honoree status. CRN has also named SADA on the Top 500 Global Solutions Providers list for the past 5 years. The overall culture continues to evolve with engineering at its core: 3200+ projects completed, 4000+ customers served, 10K+ workloads and 30M+ users migrated to the cloud. SADA India is committed to the safety of its employees and recommends that new hires receive a COVID vaccination before beginning work . Show more Show less