2114 Chatbot Jobs - Page 20

Job Title: Full-Stack Engineer – Snowflake & Cortex AI About the Role We’re looking for a hands-on full-stack engineer who can turn Snowflake’s data infrastructure into intelligent, conversational products. You’ll own end-to-end delivery of chat-based applications that surface both structured and unstructured data stored in Snowflake, leveraging the latest Snowflake Cortex AI capabilities (Cortex Analyst, Cortex Search, and Cortex Agents). What You’ll Do Design & build chatbots that access, reason over, and summarize Snowflake data sets (tables, documents, and semi-structured data). Develop full-stack features (frontend, backend, and DevOps) to deliver secure, scalable conversational experiences. Integrate Snowflake APIs & Cortex AI components—implement vector search, retrieval-augmented generation (RAG), and agent workflows. Model, transform, and optimize data pipelines to make information chatbot-ready (tokenization, embeddings, prompt engineering). Establish engineering best practices around code quality, CI/CD, observability, and automated testing for AI-powered services. Collaborate cross-functionally with data engineers, data scientists, and product managers to iterate quickly from concept to production. Stay current on Snowflake product releases, LLM advances, and GenAI safety/ethics guidelines; evangelize learnings within the team. Must-Have 5+ years building production full-stack applications (any modern JS/TS framework + backend language). Demonstrated expertise with Snowflake SQL, warehousing concepts, and Snowflake APIs/Snowpark. Hands-on work with Snowflake Cortex (Analyst, Search, Agents) or clear evidence you can ramp up fast. Solid grasp of REST/GraphQL, authentication (OAuth/JWT), and cloud infrastructure (AWS, Azure, or GCP). Ability to write clean, test code and perform code reviews. Nice-to-Have Experience fine-tuning or deploying LLMs (OpenAI, Anthropic, etc.). Familiarity with Lang Chain, LlamaIndex, or similar RAG frameworks. Experience with real-time streaming (Kafka, Snowpipe) and event-driven architectures. Knowledge of UI/UX patterns for conversational interfaces (chat widgets, voice, etc.). ML/DS background or academic work in NLP / IR.

Company Description Founded in 2015, CollegeDekho aims to create a globally trusted student guidance ecosystem by connecting prospective students with colleges through its AI-based chatbot and proprietary technology. Its Common Application Form platform, the largest in India, enables students to apply to multiple colleges with a single click. CollegeDekho has guided over 85 lakh students and facilitated successful admissions for 1.3 lakh students across its platforms. With information on over 35,000 colleges and universities, CollegeDekho supports student recruitment for more than 1500 colleges. The company has raised over $53 million from renowned investors such as Winter Capital and ETS Strategic Capital. Role Description This is a full-time on-site role for a Professor in Tech/AIML, located in Coimbatore. The Professor will be responsible for delivering lectures, conducting research, mentoring students, and developing curriculum in the fields of technology and artificial intelligence/machine learning (AI/ML). Other responsibilities include facilitating laboratory sessions, assessing student performance, collaborating with colleagues on projects, and participating in academic and administrative activities. Qualifications Expertise in Technology and Artificial Intelligence/Machine Learning (AI/ML) Experience in Lecturing, Curriculum Development, and Mentoring Research skills with a track record of published work in reputable journals Ability to conduct and supervise laboratory sessions Excellent communication and interpersonal skills Collaboration and teamwork capabilities Ph.D. or equivalent in Computer Science, Engineering, or a related field Prior teaching experience is highly beneficial Familiarity with the latest advancements and trends in AI/ML

We are looking for talented Python Developers to join our growing team working on innovative projects in enterprise scale AI applications and solutions. You will partner with Project Leads/Technical Architects in collaborative environment to build, deploy and maintain the solutions in both Non-Production and Production environments. Responsibilities: Develop solutions using AI tools / frameworks utilizing technologies such as Azure OpenAI, LLama3, and other open source Large Language Models (LLMs). Deepen your understanding of the data preparation process, the subtleties of the fine-tuning procedure, and the challenges it presents. Engage with Retrieval-Augmented Generation (RAG) to blend retrieval-based methods with generative models, improving outcomes in areas like question answering and document summarization. Build Agentic Workflows to enhance the capabilities of the AI Solution. You should not hesitate in learning and building innovative solutions in newer technology stacks. Technical Qualifications: Strong in developing, testing, and deploying enterprise applications using Python packages/frameworks. Experience in building and maintaining scalable APIs using FastAPI / Flask frameworks. Design and integrate AI assistants/chatbots, including custom development and third-party frameworks Experience in SQL / NoSQL databases including PostgreSQL, MySQL and MongoDB. Knowledge of vector databases and semantic search AI functionalities. Proficiency in Graph Databases Neo4j. Strong in building data ingestion pipelines, handling various data formats such as JSON and YAML. Mastery in Contextual Prompting: Ensure the preservation of conversational context to facilitate coherent and meaningful dialogue with LLMs. Experience with containerization tools like Docker and Kubernetes. Good Understanding of Basic Auth, two-way SSL, oauth2 or JWT token-based security. Experience with Bitbucket, Git/Hub, or other version control systems. Ability to develop and extend CI/CD pipelines (Jenkins, Docker) Generic Qualifications: Comfortable working with cross-functional teams product managers, data scientists, and other developers to deliver quality software solutions. Ensure software quality through code reviews, unit testing, and best practices for DevOps and CI/CD pipelines. Ability to manage time wisely across projects and competing priorities, meet agreed upon deadlines, and be accountable for work. Able to write maintainable and functionally tested modules. Interest in staying current with technology and mentoring others. Others: Willing to relocate or commute to North Bangalore (Yelahanka) for work. Candidates who have 3 to 6 years of relevant experience can only apply.

The Role As a Senior Software Engineer , you will play a pivotal role in designing, developing, and optimizing BotPenguin’s AI chatbot & Agents platform. You’ll collaborate with product managers, tech leads, and customer success teams to develop robust backend APIs, integrate with frontend applications, and enhance system performance. You will also be responsible for conducting code reviews, mentoring junior developers, and ensuring high software quality standards. This role offers exciting opportunities to build impactful AI-driven solutions and shape the future of conversational automation. What you need for this role Education: Bachelor's degree in Computer Science, IT, or related field. Experience: 3-6 years in software development roles. Technical Skills: Strong understanding of MEAN/MERN Stack technologies. Experience in software architecture planning and low-level design. Ability to create and implement scalable, high-performance solutions. Hands-on experience in backend API development & UI integration. Familiarity with cloud platforms like AWS and containerisation (Docker, Kubernetes). Understanding of AI/ML concepts in development. Knowledge of version control tools like GitLab/GitHub and project management tools like Notion . Soft Skills: Strong analytical mindset, leadership skills, and a passion for mentoring junior developers. What you will be doing Collaborate with the Product Team to plan and implement technical solutions for new features. Work closely with Technical Leads & Senior Developers to define software architecture and create low-level designs. Conduct code reviews to ensure adherence to best practices and coding standards. Develop backend APIs and integrate them with frontend applications. Conduct automated unit & integration testing to ensure high code quality. Document technical processes, APIs, and troubleshooting guides. Monitor system performance and suggest improvements to optimize efficiency. Assist the Customer Success Team in resolving technical challenges and enhancing user experience. Mentor junior engineers, providing guidance on best practices and career growth. Any other task relevant to the product that may be needed. Top reasons to work with us Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹1,200,000.00 - ₹1,800,000.00 per year Benefits: Health insurance Leave encashment Provident Fund Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: Software engineer: 3 years (Required) Work Location: In person

The Role- As a Product Technical Lead , you will act as the bridge between the product vision and technical execution. You will lead product architecture discussions, define technical roadmaps, and guide engineering teams to deliver high-performance, scalable solutions for our AI chatbot platform – BotPenguin. This is a high-impact role that demands strategic thinking, hands-on development expertise, and leadership skills to align cross-functional teams toward product success. You will be closely working with product managers, senior engineers, AI experts, and business stakeholders. You will also be responsible for conducting code reviews, mentoring junior developers, and ensuring high software quality standards. This role offers exciting opportunities to build impactful AI-driven solutions and shape the future of conversational automation. What you need for this role- Education: Bachelor's degree in Computer Science, IT, or related field. Experience: 5 + years of experience in software engineering with at least 2+ years in a technical leadership role. Technical Skills: Proven experience in scalable system design and product architecture . Strong understanding of MEAN/MERN Stack technologies. Experience in software architecture planning and low-level design. Ability to define and implement product-level architectural patterns. Ability to create and implement scalable, high-performance solutions. Hands-on experience in backend API development & UI integration. Familiarity with cloud platforms like AWS and containerisation (Docker, Kubernetes). Understanding of AI/ML concepts in development. Knowledge of version control tools like GitLab/GitHub and project management tools like Notion . Soft Skills : Strong analytical mindset, leadership skills, and a passion for mentoring junior developers. What you will be doing- Lead technical architecture design and roadmap planning for BotPenguin’s core platform. Work alongside the Product Manager to align product vision with technical execution. Collaborate with engineering teams to translate product requirements into scalable solutions . Design and develop core modules of the platform, especially those related to automation, chat assignment, analytics, and multi-agent support . Implement and enforce technical best practices , coding guidelines, and documentation standards. Evaluate and integrate LLM models, AI agents , and automation tools as per evolving product needs. Ensure performance, security, and scalability of applications across global deployments. Support Customer Success and QA teams with technical issue resolution and RCA . Drive technical discussions, conduct code reviews, and ensure timely feature delivery. Foster a culture of continuous improvement, collaboration, and innovation within the tech team. Collaborate with the Product Team to plan and implement technical solutions for new features. Work closely with Technical Leads & Senior Developers to define software architecture and create low-level designs. Conduct code reviews to ensure adherence to best practices and coding standards. Develop backend APIs and integrate them with frontend applications. Conduct automated unit & integration testing to ensure high code quality. Document technical processes, APIs, and troubleshooting guides. Monitor system performance and suggest improvements to optimize efficiency. Assist the Customer Success Team in resolving technical challenges and enhancing user experience. Mentor junior engineers, providing guidance on best practices and career growth. Any other task relevant to the product that may be needed. Top reasons to work with us- Lead the architecture and evolution of a fast-growing AI product used globally. Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹1,800,000.00 - ₹2,000,000.00 per year Benefits: Flexible schedule Health insurance Leave encashment Provident Fund Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: Technical leadership: 2 years (Required) AWS: 2 years (Required) MERN/MEAN: 3 years (Required) Work Location: In person

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 Title: AI Automation Specialist (No-Code/Low-Code Expert) Location: E2, Plot No. 4, Jhandewalan Extension, Near Metro Station Gate No. 2, New Delhi – 110055 Employment Type: Full-time / Contract (based on experience) Company Overview BookLeaf Publishing is one of India’s most trusted self-publishing platforms, recognized for its innovation, scalability, and process automation. We’re committed to transforming the publishing landscape through intelligent systems that minimize manual intervention and maximize efficiency. Role Summary We are seeking a driven AI Automation Specialist to join our team. In this role, you will lead the design and deployment of intelligent, scalable systems using no-code/low-code platforms and AI-based integrations. Your core responsibility will be to eliminate repetitive tasks and enhance operational efficiency across departments. Key Responsibilities Develop and maintain AI-driven automation tools, bots, and workflows to streamline business processes Build intelligent chatbots that handle real-time data and offer contextual support Integrate multiple platforms and tools, including CRMs, Google Sheets, email systems, and social media APIs Consolidate and synchronize customer data across systems, reducing the need for manual data handling Prepare comprehensive documentation for workflows and enable smooth handover to non-technical stakeholders Required Experience: Must-Have: 1–3 years of hands-on experience building automation workflows using tools like Zapier, Make.com, Bubble, Airtable, or similar Practical understanding of API integrations, webhooks, and conditional logic Experience using AI tools (e.g., OpenAI, GPT, Dialogflow, LangChain) in real-world workflows Ability to design solutions independently from brief to execution Preferred But Not Mandatory: Prior experience in startups, SaaS, publishing, or customer support automation Light coding skills in JavaScript or Python (for custom steps in workflows) Familiarity with chatbot frameworks like Rasa, Botpress, or Dialogflow Experience integrating with platforms like Gmail, WhatsApp Business API, Meta (Instagram) Graph API, Google Sheets, CRMs, etc. Core Competencies and Technical Skills Proficiency in no-code/low-code automation platforms such as: Zapier, Make (Integromat) OpenAI (GPT-4, LangChain) Bubble, Airtable, Notion API Dialogflow, Botpress, Rasa Strong analytical and systems thinking, with the ability to creatively connect tools and workflows A product-oriented mindset, capable of identifying automation opportunities and implementing end-to-end solutions with minimal oversight. Why Join Us If you're passionate about building intelligent workflows, thrive on problem-solving, and want to shape the future of publishing through automation, BookLeaf Publishing offers a dynamic and forward-thinking environment for your growth. Job Type: Full-time Pay: ₹30,000.00 - ₹70,000.00 per month Benefits: Leave encashment Schedule: Monday to Friday Supplemental Pay: Overtime pay Application Question(s): What's your age ? Are you willing to come to Jhandewalan as it's onsite profile? Do you have your own Laptop as we don't provide laptop to employees? Work Location: In person

The Role As a DevOps Engineer , you will be an integral part of the product and service division, working closely with development teams to ensure seamless deployment, scalability, and reliability of our infrastructure. You'll help build and maintain CI/CD pipelines, manage cloud infrastructure, and contribute to system automation. Your work will directly impact the performance and uptime of our flagship product, BotPenguin. What you need for this role Education: Bachelor's degree in Computer Science, IT, or a related field. Experience: 2-5 years in DevOps or similar roles. Technical Skills: Proficiency in CI/CD tools like Jenkins, GitLab CI, or GitHub Actions. Experience with containerization and orchestration using Docker and Kubernetes. Strong understanding of cloud platforms, especially AWS & Azure. Familiarity with infrastructure as code tools such as Terraform or CloudFormation. Knowledge of monitoring and logging tools like Prometheus, Grafana, and ELK Stack. Good scripting skills in Bash, Python, or similar languages. Soft Skills: What you will be doing Build, maintain, and optimize CI/CD pipelines. Monitor and improve system performance, uptime, and scalability. Manage and automate cloud infrastructure deployments. Work closely with developers to support release processes and environments. Implement security best practices in deployment and infrastructure management. Ensure high availability and reliability of services. Document procedures and provide support for technical troubleshooting. Contribute to training junior team members, and assist HR and operations teams with tech-related concerns as required. Top reasons to work with us Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. A culture that fosters creativity, ownership, and collaboration. Detail-oriented with a focus on automation and efficiency. Strong problem-solving abilities and proactive mindset. Effective communication and collaboration skills. Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per year Benefits: Health insurance Leave encashment Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: DevOps: 3 years (Required) Work Location: In person

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Total Exp: 8+ Yrs Must Have Familiarity with the Conversational AI domain, conversational implementation and testing, customer experience metrics, and industry-specific challenges. Expertise in various NLU based testing methodologies, including conversational flow end to end testing, NLP and API testing, functional testing, regression testing, integration testing, performance testing, and user experience testing on Conversational AI systems Understanding of conversational (chats, emails, and calls) data to test and train Conversational AI systems Understanding the critical factors in Performance, Load, and Stress Testing for Platform Evaluation and Integration Assessment Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud, Omilia Cloud Platform, Kore.ai, OneReach.ai, NICE, Salesforce, etc.) and their services for building and testing Conversational AI solutions for clients NLP and NLU Verticals Expertise: Text to Speech (TTS), Speech to Text (STT), SSML modeling, Intent Analytics, Proactive Outreach Orchestration, OmniChannel AI & IVR (incl.Testing), Intelligent Agent Assist, Contact Center as a Service (CCaaS), Modern Data for Conversational AI and Generative AI Familiarity with sentiment analysis, topic modeling, and text classification techniques Experience with test automation tools and frameworks, such as Cyara, Botium, Postman, Qmetry, Qtest, Selenium, IBM Watson Assistant Toolkits, Cognigy Test Case Builder or similar, to streamline and automate the testing process for chatbots. Strong problem-solving skills with the ability to identify, analyze, and troubleshoot issues encountered during testing Strong understanding of diverse testing methods across different devices to verify the Conversational AI system Proficiency in programming languages such as JavaScript Excellent communication skills Nice To Have Proficiency in programming languages such as Python/Pyspark/R/SQL Proficiency in any of the data visualization tools like Tableau, Power BI, Quicksight and others Experience in survey analytics, organizational functions such as pricing, sales, marketing, operations, customer insights, etc. Roles And Responsibilities Develop, evaluate, and execute on project test plans, test books to include details about unit testing, end to end testing and chatbot conversation transcripts under the guidance of project manager Analyze chatbot performance metrics and generate insightful reports for client presentations Collaborate and address identified issues with development and coach the junior team members Devise complex testing scenarios for quality delivery of products Identify and address potential vulnerabilities in Conversational AI system, ensuring data privacy and protection. Ability to test and deploy production ready code. Build storylines and make presentations for the client team and/or PwC project leadership team. Contribute to the knowledge and firm building activities

About Us: We are a dynamic and fast-growing eCommerce company with a strong offline retail presence. Our mission is to provide seamless, customer-centric experiences both online and in-store. We are looking for a dedicated Customer Support Executive to be the voice of our brand, ensuring every interaction leads to customer satisfaction and brand loyalty. Role Overview: As a Customer Support Executive, you will be responsible for handling customer queries across multiple channels—email, chatbot, and inbound calls. You’ll work closely with internal teams to resolve issues promptly, ensuring a seamless customer experience across digital and physical touchpoints. Key Responsibilities: Respond to customer inquiries via email, website chatbot, and phone calls in a timely and professional manner. Track, manage, and resolve customer complaints, product issues, or order-related concerns end-to-end. Coordinate with internal teams (e.g., warehouse, logistics, store teams, product) to ensure timely resolutions. Document all interactions, updates, and resolutions in the internal CRM/ticketing system. Proactively follow up with customers and internal stakeholders to ensure commitments are met and issues are resolved. Maintain detailed records and provide insights from customer interactions to improve overall service and product offerings. Monitor and escalate recurring issues to relevant departments for process improvement. Required Skills & Experience:1–3 years of experience in customer support, preferably in eCommerce or retail sectors. Excellent verbal and written communication skills in English (additional regional languages are a plus). Detail-oriented and meticulous in managing support cases, follow-ups, and documentation. Strong organizational skills with the ability to handle multiple customer queries simultaneously. Proven ability to work cross-functionally and follow through on tasks and commitments. Experience using customer support tools such as Zendesk, Freshdesk, Gorgias, or similar platforms. Basic understanding of order management, returns, and product exchange processes in eCommerce. What We Offer: A customer-first and team-oriented work culture. Opportunity to work at the intersection of digital and offline retail. Competitive compensation and performance incentives. Learning and development support for career growth.

You will be joining a company that specializes in Identity and Access Management (IAM) and Customer Identity and Access Management (CIAM), offering advanced solutions to enhance security for your workforce, customers, and partners. The company also provides cutting-edge security solutions for various popular CMS and project management platforms such as Atlassian, WordPress, Joomla, Drupal, Shopify, BigCommerce, and Magento. The solutions offered are precise, effective, and focused on improving overall security measures. As an AI/ML Engineer with our team, you will play a crucial role in developing innovative AI-powered products and solutions. The ideal candidate for this position should possess a minimum of 10 years of hands-on experience in creating and implementing advanced AI and ML models and related software systems. This is a full-time employee position based in Baner, Pune. Your responsibilities will include developing machine learning and deep learning models and algorithms to address complex business challenges, enhance processes, and improve product functionality. You will work on deploying personalized large language models (LLMs), developing systems for document parsing, named entity recognition (NER), retrieval-augmented generation (RAG), and chatbots, as well as building robust data and ML pipelines for production scalability and performance. Additionally, you will optimize machine learning models for better performance, scalability, and accuracy using techniques like hyperparameter tuning and model optimization. It is crucial to write high-quality, production-ready code using frameworks such as PyTorch or TensorFlow and stay updated on the latest advancements in AI/ML technologies and tools. To qualify for this role, you should hold a Bachelor's or Master's Degree in Computer Science, Data Science, Computational Linguistics, Natural Processing (NLP), or related fields. You must have extensive experience in developing and deploying machine learning models and algorithms, with proficiency in AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Strong programming skills in Python, Java, or C++ are necessary, along with familiarity with web frameworks like FastAPI, Flask, Django, and agentic AI frameworks such as LangChain, LangGraph, AutoGen, or Crew AI. Knowledge of Data Science and MLOps, including ML/DL, Generative AI, containerization (Docker), and orchestration (Kubernetes) for deployment is essential. Experience with cloud platforms like AWS, Azure, and GCP, as well as AI/ML deployment tools, is highly beneficial. In this role, you will have the opportunity to work with a team of talented individuals in a stable, collaborative, and supportive work environment. You will be constantly exposed to new technologies and have the chance to expand your skills and knowledge in the field of AI/ML. Your communication and collaboration skills will be put to the test as you collaborate with stakeholders to understand business requirements, define project objectives, and deliver AI/ML solutions that meet customer needs and drive business value.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where you ll be able to reimagine what s possible. Join us and help the world s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Design, develop, and implement conversational AI solutions using the Kore.ai platform, including chatbots, virtual assistants, and automated workflows tailored to business requirements. Customize, configure, and optimize the Kore.ai platform to address specific business needs, focusing on user interface (UI) design, dialogue flows, and task automation. Collaborate with cross-functional teams to understand business objectives and translate them into scalable AI solutions. Continuously monitor and enhance bot performance by staying updated on the latest Kore.ai features, AI advancements, and machine learning trends. Primary Skills 1+ years of experience in software development, with at least 1+ years of hands-on experience working with the Kore.ai platform. Proven expertise in developing chatbots and virtual assistants using Kore.ai tools. Proficiency in programming languages such as JavaScript or other scripting languages. Experience with API integrations, including RESTful APIs and third-party services. Strong understanding of dialogue flow design, intent recognition, and context management. Secondary Skills Kore.ai platform certification is a strong advantage. Knowledge of automation tools and RPA technologies is beneficial. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Location: Onsite / Gurgaon Type: Full-time Experience: 0–1 years About QuickReply.ai QuickReply.ai is the operating system for WhatsApp marketing and sales workflows, used by B2C businesses to turn chat into business. We are scaling fast across industries, with a product that integrates deeply with apps like Shopify, CRMs, marketing automation tools, and AI models. We’re now hiring a sharp executor who lives inside our product and thinks like a product+content+automation hybrid. Someone who doesn’t wait for instructions but builds. Who you are You may or may not have worked in SEO formally, but you’ve used GPT to reverse-engineer how AI answers questions. You’re obsessed with AI tooling. For every task, you ask “should I GPT this?” You know what it means to prompt Claude, GPT-4o, or Gemini correctly, and get production-grade results. You can connect the dots between WhatsApp workflows, CRMs, lead flows, and customer journeys, even if you're not a marketer or engineer by training. You can think like a product user and write like a clear explainer. What you'll own Build chatbots + automation flows inside QuickReply.ai to understand our platform from the inside-out. Push 2+ high-depth SEO pages daily based on our content intelligence system and topic clusters. Work through a structured AI Citation SEO checklist that guides every piece toward ChatGPT/Gemini citation-readiness. Map search intent → user journey → QuickReply use case with zero hand-holding. Use tools like Frase, NeuronWriter, GPTs, Claude, and Sheets to build atomic, interlinked, E-E-A-T-aligned content. Research integrations and use cases with CRMs, MAs, or external SaaS tools — and write from a lens of systems-thinking. Ship machine-readable markup (FAQ schema, TLDR blocks, dataset summaries) with every publish. What you must already know You have built at least one chatbot, workflow, or internal automation, even if for fun. You have prompted LLMs to build real outputs , like a marketing plan, API call, email sequence, or webpage. You can explain what GPTs don’t do well and how to guide them. You’ve used Notion, ChatGPT, and Google Sheets with confidence. You’ve written long-form content that feels structured, crisp, and backed by real data or logic. Bonus (not mandatory) Familiarity with tools like Zapier, Make.com, or HubSpot Basic understanding of Schema.org markup or SEO plugins Some experience in B2B SaaS, martech, or WhatsApp ecosystem What you'll get Daily hands-on training with the GTM team Exposure to how a B2B SaaS company grows from $2M to $10M The playbook and tools to become a 1-person growth machine anywhere in the world Flat, no-BS, GPT-first culture where outputs > credentials Want to be part of a 2-to-10 team that builds like founders do?

Company Description Secure HealthCare is a health-tech startup revolutionizing how people access and interact with healthcare. Our AI-powered platform provides a centralized digital health experience—combining smart medical record management, real-time chatbot support, and personalized health insights. We aim to simplify healthcare by making accurate information accessible, empowering users with personalized recommendations, and supporting medical professionals with deeper patient data. With a user-first approach and a scalable freemium model, we're building the future of preventive, digital-first healthcare—intelligent, interactive, and always within reach. Role Description This is a remote internship role for a Full Stack Developer Intern. The Full Stack Developer Intern will be responsible for assisting in both front-end and back-end web development tasks, participating in software development projects, and contributing to the overall full-stack development process. The intern will have opportunities to work on various projects including developing new features, optimizing existing functionalities, and collaborating with cross-functional teams to achieve project goals. Qualifications Experience in Back-End Web Development and Software Development Proficiency in Front-End Development, including HTML, CSS, and JavaScript Knowledge of Full-Stack Development processes and tools Basic understanding of Cascading Style Sheets (CSS) Strong problem-solving and analytical skills Ability to work independently and remotely Interest in healthcare technology and AI-powered solutions is a plus Currently pursuing a degree in Computer Science, Information Technology, or a related field

Key Responsibilities ● Design, build, and maintain scalable infrastructure for training and deploying machine learning models at scale. ● Operationalize ML models, including the "TruValue UAE" AVM and the property recommendation engine, by creating robust, low-latency APIs for production use. ● Develop and manage data pipelines (ETL) to feed our machine learning models with clean, reliable data for both training and real-time inference. ● Implement and manage the MLOps lifecycle, including CI/CD for models, versioning, monitoring for model drift, and automated retraining. ● Optimize the performance of machine learning models for speed and cost-efficiency in a cloud environment. ● Collaborate with backend engineers to seamlessly integrate ML services with the core platform architecture. ● Work with data scientists to understand model requirements and provide engineering expertise to improve model efficacy and feasibility. ● Build the technical backend for the AI-powered chatbot, integrating it with NLP services and the core platform data. Required Skills and Experience ● 3-5+ years of experience in a Software Engineering, Machine Learning Engineering, or related role. ● A Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. ● Strong software engineering fundamentals with expert proficiency in Python. ● Proven experience deploying machine learning models into a production environment on a major cloud platform (AWS, Google Cloud, or Azure). ● Hands-on experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. ● Experience building and managing data pipelines using tools like Apache Airflow, Kubeflow Pipelines, or cloud-native solutions. ● Collaborate with cross-functional teams to integrate AI solutions into products. ● Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker) and orchestration (Kubernetes). Job Types: Full-time, Permanent Pay: ₹900,000.00 - ₹1,200,000.00 per year Benefits: Paid sick time Provident Fund Schedule: Day shift Fixed shift Work Location: In person

Designation: Customer Experience – CRM & Communication Process (Sr. Executive) 1. Lead Management & CRM Ownership Responsible for capturing all individual and enterprise leads and updating them in the CRM in real time during defined working hours. Ensure complete and accurate lead information is recorded, including requirement details, contact data, and lead source. Handle all inbound and missed calls routed through IVR and log each call in the CRM. Track leads assigned to other agents and ensure they are being followed up regularly. All comments, follow-ups, and interactions must be consistently updated in the lead screen. 2. WhatsApp Chat & Wati Communication Handling Monitor and actively manage Wati Chat communication for both individual and enterprise customers. Ensure the appropriate message flow, template triggering, and responsiveness is maintained through WhatsApp/WATI. Set up and maintain chatbot templates, campaigns, and follow-up flows. Any gaps, delays, or flaws in communication will be reviewed for immediate rectification. 3. IVR Monitoring & Team-Wide Call Oversight Keep a close check on IVR logs and click-to-call systems to ensure proper call logging and follow-up. Track individual agent calls and make sure these are updated in CRM with correct comments and outcomes. Any missing or flawed record entries will be escalated for correction and affect performance reviews. 4. Documentation & CRM Enrichment Supervise document submissions for new and recurring clients, ensuring all details are correctly entered. Verify CRM data completeness including contact details, compliance information, account-specific data, and opportunity values. Ensure the screen shows all required documentation status, comments, updates, and compliance checks. 5. Accountability Note Any errors, delays, or non-updated entries in Wati Chat or CRM will be marked in the KPI Further detailed KRAs tied to quantitative KPIs (response rate, CRM completeness, documentation turnaround time) will be shared separately. * Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹35,894.90 per month Education: Bachelor's (Required) Experience: Customer support: 1 year (Required) Work Location: In person

Job requisition ID :: 82483 Date: Jul 14, 2025 Location: Delhi Designation: Analyst Entity: Deloitte India LLP Y our potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The Team Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Job Description Design, develop, and deploy chatbots and conversational experiences. Work closely with stakeholders to gather requirements and translate them into technical specifications. Conduct testing and debugging to ensure the reliability and performance of chatbot solutions. Provide ongoing support and maintenance for deployed chatbots, including troubleshooting and resolving issues. Stay updated on industry trends and best practices related to conversational AI and customer engagement. Requirements: Education: Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred. Experience: 2+ years in software development, or related roles. Proficiency in Java Strong proficiency in designing, developing, and deploying scalable microservices on cloud platforms using Java Spring Boot. Experience in working with web services technologies, including SOAP, REST, and JSON/XML with knowledge of SQL Strong troubleshooting and debugging skills, with the ability to analyze and resolve complex technical issues. Strong understanding of NLP , machine learning, and chatbot technologies. Excellent communication and presentation skills. Strong problem-solving skills and attention to detail. Ability to work independently and collaboratively in a fast-paced environment. How you’ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone’s welcome… entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

The Role As a Product Technical Lead , you will act as the bridge between the product vision and technical execution. You will lead product architecture discussions, define technical roadmaps, and guide engineering teams to deliver high-performance, scalable solutions for our AI chatbot platform – BotPenguin. This is a high-impact role that demands strategic thinking, hands-on development expertise, and leadership skills to align cross-functional teams toward product success. You will be closely working with product managers, senior engineers, AI experts, and business stakeholders. You will also be responsible for conducting code reviews, mentoring junior developers, and ensuring high software quality standards. This role offers exciting opportunities to build impactful AI-driven solutions and shape the future of conversational automation. What you need for this role Education: Bachelor's degree in Computer Science, IT, or related field. Experience: 5 + years of experience in software engineering with at least 2+ years in a technical leadership role. Technical Skills: Proven experience in scalable system design and product architecture . Strong understanding of MEAN/MERN Stack technologies. Experience in software architecture planning and low-level design. Ability to define and implement product-level architectural patterns. Ability to create and implement scalable, high-performance solutions. Hands-on experience in backend API development & UI integration. Familiarity with cloud platforms like AWS and containerisation (Docker, Kubernetes). Understanding of AI/ML concepts in development. Knowledge of version control tools like GitLab/GitHub and project management tools like Notion . Soft Skills: Strong analytical mindset, leadership skills, and a passion for mentoring junior developers. What you will be doing Lead technical architecture design and roadmap planning for BotPenguin’s core platform. Work alongside the Product Manager to align product vision with technical execution. Collaborate with engineering teams to translate product requirements into scalable solutions . Design and develop core modules of the platform, especially those related to automation, chat assignment, analytics, and multi-agent support . Implement and enforce technical best practices , coding guidelines, and documentation standards. Evaluate and integrate LLM models, AI agents , and automation tools as per evolving product needs. Ensure performance, security, and scalability of applications across global deployments. Support Customer Success and QA teams with technical issue resolution and RCA . Drive technical discussions, conduct code reviews, and ensure timely feature delivery. Foster a culture of continuous improvement, collaboration, and innovation within the tech team. Collaborate with the Product Team to plan and implement technical solutions for new features. Work closely with Technical Leads & Senior Developers to define software architecture and create low-level designs. Conduct code reviews to ensure adherence to best practices and coding standards. Develop backend APIs and integrate them with frontend applications. Conduct automated unit & integration testing to ensure high code quality. Document technical processes, APIs, and troubleshooting guides. Monitor system performance and suggest improvements to optimize efficiency. Assist the Customer Success Team in resolving technical challenges and enhancing user experience. Mentor junior engineers, providing guidance on best practices and career growth. Any other task relevant to the product that may be needed. Top reasons to work with us Lead the architecture and evolution of a fast-growing AI product used globally. Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹1,800,000.00 - ₹2,000,000.00 per year Benefits: Provident Fund Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: relevant: 3 years (Required) Work Location: In person

The Role As a Software Engineer , you will play a pivotal role in designing, developing, and optimizing BotPenguin’s AI chatbot & Agents platform. You’ll collaborate with product managers, senior engineers, and customer success teams to develop robust backend APIs, integrate with frontend applications, and enhance system performance. This role offers exciting opportunities to build impactful AI-driven solutions and shape the future of conversational automation. What you need for this role Education: Bachelor's degree in Computer Science, IT, or related field. Experience: 1-3 years in software development roles. Technical Skills: Strong understanding of MEAN/MERN Stack technologies. Experience in designing and deploying end-to-end solutions. Hands-on experience in backend API development & UI integration. Familiarity with cloud platforms like AWS and containerization (Docker, Kubernetes). Understanding of AI/ML concepts in development. Knowledge of version control tools like GitLab/GitHub and project management tools like Notion . Soft Skills: Willingness to build something big, Strong problem-solving mindset, proactive approach, and a willingness to learn. What you will be doing Collaborate with the Product Team to plan and implement new features. Work alongside Technical Leads & Senior Developers to define solutions & low-level design. Develop backend APIs and integrate them with frontend applications. Conduct automated unit & integration testing to ensure high code quality. Document technical processes, APIs, and troubleshooting guides. Monitor system performance and suggest improvements to optimize efficiency. Assist the Customer Success Team in resolving technical challenges and enhancing user experience. Top reasons to work with us Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹200,000.00 - ₹600,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: relevant: 2 years (Required) Work Location: In person

The Role: As a Product Analyst , you will play a critical role in helping us build data-driven, user-centric features on the BotPenguin platform. You will work closely with Product Managers, Design, Engineering, Marketing, and Customer Success Teams to analyze user behavior, validate feature performance, and uncover growth opportunities through actionable insights. This is an exciting opportunity to join a high-growth product team and influence strategic decisions at the intersection of data, product design, and customer experience. What you need for this role: Education: Bachelor’s degree in Computer Science, Business Analytics, Engineering, Statistics, or related field. Experience: 2-5 years of experience in a product or data analyst role within a SaaS or tech product environment. Technical Skills: Strong expertise in MongoDB and data visualization tools (e.g., Tableau, Power BI, Metabase). Familiarity with Google Analytics, Mixpanel, Hotjar, or other product analytics platforms. Hands-on experience working with Excel/Google Sheets, building dashboards, and extracting user insights. Knowledge of product lifecycle, user funnels, A/B testing, and cohort analysis. Bonus: Exposure to Python, R, or basic scripting for data processing. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and storytelling abilities—able to translate data into strategic insights. Proactive attitude with a willingness to own initiatives and drive improvements. Keen interest in product design, user experience, and tech innovation. What you will be doing: Collaborate with Product Managers to define key metrics, success criteria, and feature adoption benchmarks. Analyze platform usage, customer behavior, and market data to discover pain points and opportunity areas. Generate and maintain weekly/monthly product reports and dashboards for cross-functional teams. Design and evaluate A/B tests, feature rollouts, and experiments to improve user engagement and retention. Work with the Engineering team to ensure accurate data tracking and event instrumentation. Monitor product KPIs and proactively raise red flags for anomalies or unexpected trends. Participate in roadmap discussions, contributing insights backed by data. Assist in user segmentation and support marketing and CS teams with insights for personalized communication and retention strategies. Assist on any other related to the product development or management if required. Top reasons to work with us: Lead the architecture and evolution of a fast-growing AI product used globally. Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per year Benefits: Flexible schedule Leave encashment Provident Fund Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: product analyst : 3 years (Required) Work Location: In person

Role Overview We are seeking a Conversational AI Developer with hands-on experience in Voiceflow or any similar tools and a deep understanding of Large Language Models (LLMs) . You will play a key role in building and enhancing intelligent, human-like conversational agents to streamline user experiences across our platform. This is an exciting opportunity to work at the cutting edge of healthcare technology and AI. Key Responsibilities Design, build, and optimize conversational experiences using Voiceflow, ensuring natural and intuitive interactions. Integrate and maintain conversational workflows using custom JavaScript or Python functions. Work closely with the product, design, and engineering teams to iterate on conversation logic, voice tone, and response quality. Connect conversational flows to backend services using APIs and JSON for data processing and dynamic interactions. Apply prompt engineering techniques to enhance LLM performance and user engagement. Monitor bot performance and user interactions to continually refine and improve the experience. Stay updated with the latest in conversational AI, LLM innovations, and emerging technologies. Required Skills & Qualifications Proven experience in conversational AI development, with hands-on expertise in Voiceflow or any similar tools. Strong programming skills in JavaScript or Python to create custom functions and scripts. Solid experience working with APIs and JSON for integrating backend logic. Understanding of Large Language Models (LLMs) such as GPT, including how to fine-tune prompts and generate accurate responses. Ability to translate complex workflows into user-friendly conversational journeys. Excellent problem-solving and communication skills. Skills: javascript,json,prompt engineering,conversational ai,python,chatbot,voiceflow,apis,voicebot,conversational ai development,api,large language models (llms)

Position - Project Manager Job Location - Noida About Zeapl.ai (www.zeapl.com) Zeapl.ai is a Ministry of Electronics and Information Technology supported fast-growing enterprise SaaS startup, working with Fortune-500 companies. Our platform enables enterprises to drive 2-4x higher engagement of users on large scale campaigns. Marketing teams (for customer engagement), Sales & Distribution teams (for sales Team & channel engagement) and Customer Service teams (for driving CSAT / NPS) love what Zeapl has delivered for them. With offices in Noida, Pune and a development center in Indore (India), Zeapl is hiring for its next phase of growth. The Role Lead end-to-end deployment of AI chatbot solutions for enterprise clients. Own timelines, optimize processes, and ensure seamless adoption—directly impacting client success. What You’ll Do: Manage implementations (kickoff to go-live), ensuring 100% on-time delivery. Drive client satisfaction (99%+ CSAT) with SLA-backed issue resolution. Cut deployment cycles by 25% QoQ through process innovation. Mitigate risks—zero surprise escalations, 100% pre-mortem plans. You Should Have: 4+ years in SaaS implementation (chatbot/AI experience preferred). Agile/Jira expertise, technical fluency (APIs, cloud infra). Strong client-facing & cross-functional leadership skills. Excellent written and verbal communication skills. Experience in managing IT, consulting, or SaaS projects. Bachelor's degree in IT, Computer Science or equivalent work experience. What To Expect A challenging position with lots of room for growth and support for personal and professional development with a great opportunity to work with a cross-functional team along with Opportunity to work in a Product company in a vertical B2B niche SaaS A transparent work culture that promotes individuals with fresh ideas Fun events, curated workshops, learning sessions, awards & recognitions etc

About the Company RADcube – A Stlogics Company is dedicated to innovation in AI & Data. Our mission is to leverage cutting-edge technology to create impactful solutions that drive business success. We foster a collaborative and inclusive culture where creativity and teamwork thrive. About the Role We are seeking a highly skilled ML/AI Developer to join our growing team in India. This role involves developing machine learning and deep learning models, building conversational AI applications, and deploying solutions using cloud-native tools. Work Location : Hyderabad (hi-tech City). Shift Timings :EST Time Zone Experience : Min 5+yrs Responsibilities Design and deploy ML/AI models using CNN, RNN, Seq2Seq, and LLMs. Develop and fine-tune NLP-driven solutions and integrate them into chatbot platforms. Build chatbot solutions using Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Preprocess and engineer datasets using Python for training and evaluation. Deploy AI models and services using AWS or Azure. Collaborate cross-functionally with engineering, product, and DevOps teams. Explore and apply RLHF, prompt engineering, and newer AI optimization strategies. Follow Agile development methodology and participate in sprints. Qualifications Bachelor’s or Master’s in ML Engineering (preferred) or Data Science. 5–6 years of experience in ML/AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN, SVM, Naive Bayes. Proven work with NLP, CNNs, LLMs, and deep learning architectures. Experience working with cloud platforms – AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Required Skills Familiarity with Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Knowledge of model versioning, monitoring, or MLOps practices. Bonus: Open-source contributions or AI research experience. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices. We encourage applications from individuals of all backgrounds and experiences.

With over 20+ years of experience in the IT landscape, we at Saxon.AI have been at the forefront of delivering the transformative power of data, AI & automation to enterprises of all sizes. Our industry knowledge, diverse skill sets, and next-generation technology applied to each business challenge ensure our customer's technology initiatives are deployed, embraced, and scaled for maximum ROI. Whether it's an actionable dashboard, chatbot, intelligent document processing, or an intelligent enterprise app, we'll help you make the right technology choice with the best-fit application process to drive adoption across your business. By building and transferring digital skills, expertise, and ideas from our innovation ecosystem, we constantly evolve and stay relevant with a learn-it-all culture and continuous . Our core DNA is building the technical aspects of a firm’s digital evolution with the power of 4A - Analytics, Apps, AI, and Automation. Role : Junior Web Developer Location: Hyderabad(WFO) Need Someone – Immediate Joinees Experience : 1-4yrs Job Summary: We are looking for an enthusiastic Web Developer with a focus on WordPress to assist in the development, maintenance, and optimization of our WordPress-based websites. The ideal candidate will have foundational skills in web development, a keen interest in WordPress, and a desire to grow their technical expertise in a collaborative environment. Key Responsibilitie s: · Develop and maintain WordPress websites, ensuring functionality, performance, and responsiveness. · Customize WordPress themes and plugins to meet requirements. · Collaborate with designers and developers to implement website features and enhancements. · Write clean, efficient, and well-documented code using HTML, CSS, and jQuery. · Troubleshoot and resolve website issues, including bugs, performance bottlenecks, and compatibility problems. · Assist in optimizing websites for speed, SEO, and user experience. · Stay updated on WordPress updates, best practices, and emerging web development trends. Experience: 1-2 years of experience in web development, preferably with WordPress. Required Skills : · Hands-on experience with WordPress, including configuration and troubleshooting. · Proficiency in HTML and CSS for building and styling web pages. · Working knowledge of jQuery for adding interactivity to websites. · Familiarity with WordPress themes and plugins, including configuration and troubleshooting. · Basic understanding of responsive design principles and cross-browser compatibility. · Strong problem-solving skills and attention to detail. · Ability to work collaboratively in a team environment and communicate effectively. · Eagerness to learn and adapt to new technologies and tools. Preferred Skills (Optional): · Experience with PHP and MySQL for WordPress backend development. · Familiarity with version control systems (e.g., Git). · Basic knowledge of SEO best practices. · Exposure to front-end frameworks or libraries (e.g., Bootstrap).

Job Description Strong experience in Servicenow. Extensive experience in - ITSM, ITOM, ITAM, Experience - 7+ years. Location - PAN India. Key Responsibilities: 1. ServiceNow IVA (Chat Bot) Implementation: Design, develop, and deploy ServiceNow Intelligent Virtual Agents (IVA) to enhance user interaction and support. Customize and configure IVA to meet specific business requirements. Monitor and optimize IVA performance to ensure high levels of user satisfaction. 2. Self Help Cases Deployment: Develop and implement self-help cases within the ServiceNow platform. Ensure that self-help cases are user-friendly and provide effective solutions to common issues. Continuously update and improve self-help cases based on user feedback and evolving business needs. 3. Service Request Automation: Automate service request processes using ServiceNow to improve efficiency and reduce manual intervention. Collaborate with stakeholders to identify automation opportunities and implement solutions. Maintain and troubleshoot automated workflows to ensure seamless operation. 4. Generative AI Integration (Good to Have): Explore and integrate Generative AI capabilities within the ServiceNow platform to enhance IVA and other functionalities. Stay updated with the latest advancements in AI and recommend innovative solutions to improve service delivery. Preferred Skills: Certification in ServiceNow Administration or Development. Experience with scripting languages such as JavaScript. Familiarity with ITIL processes and best practices. Ability to work independently and as part of a team. Proven experience with ServiceNow, specifically in IVA (Chat Bot) development and deployment. Strong understanding of ServiceNow Self Help Cases and Service Request Automation. Experience with Generative AI technologies related to ServiceNow is a plus. Excellent problem-solving skills and attention to detail.