227 Dialogflow Jobs - Page 2

Job Summary: We are seeking a skilled and innovative AI Developer with hands-on experience in OpenAI APIs, HuggingFace Transformers, and prompt engineering. The ideal candidate will be responsible for designing, developing, and deploying intelligent systems for text, image, and code generation by leveraging modern AI technologies and large language models (LLMs). You’ll play a key role in building conversational agents, generative pipelines, and embedding AI into real-world web applications. Key Responsibilities: Utilize OpenAI APIs (e.g., ChatGPT, DALL·E) for advanced natural language and image generation tasks. Implement and fine-tune pre-trained models using HuggingFace Transformers . Design optimal prompts for LLMs to improve model output accuracy and relevance. Develop and integrate embedding-based search systems using OpenAI Embeddings, FAISS, or Pinecone. Build scalable content generation pipelines for text, image, and code automation. Perform fine-tuning of LLMs using LoRA, PEFT , and HuggingFace Trainer APIs . Apply NLP techniques using tools like spaCy, NLTK , and Transformers. Develop intelligent chatbots using platforms like Rasa, Dialogflow , or Microsoft Bot Framework . Integrate AI solutions into web applications using React.js . Manage user session and context flow for personalized and coherent conversational experiences. Handle data preprocessing using Pandas, regex , and custom scripts. Utilize scikit-learn, XGBoost, and LightGBM for classical ML tasks when needed. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field. Proven experience with OpenAI GPT-based models and image generation APIs. Expertise in Prompt Engineering and model behavior optimization. Solid experience with embedding-based search and vector databases . Strong command over React.js and JavaScript for frontend-AI integration. Good understanding of ML frameworks and model deployment workflows. Excellent communication and problem-solving skills. Preferred Qualifications: Experience deploying AI models in production environments. Familiarity with LangChain or similar LLM orchestration tools. Previous work on projects involving Generative AI , conversational AI , or custom LLM training . Show more Show less

Work Experience :3-4 Roles & Responsibilities: 1. Design and write high-quality code. 2. Responsible for robust and efficient implementation. 3. Stay abreast of the latest advancements in AI, machine learning, and related technologies. 4. Test, debug, analyze and fix application problems/issues. 5. Participate in code reviews in accordance with program specifications and coding standards, practices and conventions, new designs, changes and enhancements. 6. Interact with stakeholders (internal and external) to support product releases and/or resolve program problems. 7. Research and remain informed of new technology and development tools. 8. Experiment with new technologies and approaches to enhance project outcomes. 9. Contribute to internal knowledge sharing and best practices development. Skills : â—� Should have good command in the Python language. â—� Candidates must have knowledge of one of Python frameworks such as Django/Flask and microservices. â—� Design and implement RESTful APIs that are robust, efficient, and scalable using Django and Django Rest Framework. â—� Proficiency in object-oriented design, data structures, algorithm design and problem solving. â—� Design, build, and deploy AI models with a focus on advanced technologies such as ChatGPT, Llama, Claude, DALL-E, Stable Diffusion. â—� Well-versed with Prompt Engineering. â—� Should have knowledge of Agent Development using any of the tech, e.g.,Langchain, AutoGen, CrewAI, etc. â—� Knowledge of Computer Vision, OCR, etc. â—� Good to have exposure to computer vision technologies like Amazon Rekognition, Azure Computer Vision, Google Cloud Vision, and OpenCV. â—� Good to have knowledge of ML Tech and Frameworks like TensorFlow, Keras,PyTorch, Scikit-learn, etc â—� Worked on NLP tech/framework such as BERT, NLTK, Spacy, etc â—� Create intelligent chatbots using AWS Lex, DialogFlow, RASA, and IBM Watson,etc â—� Stay updated with the latest developments in AI, machine learning, and related technologies. â—� Basic Understanding of front-end technologies such as HTML, CSS, JavaScript and frameworks like React or Angular. Experience : 3-4 years Skills : Python, Django, HTML, AI/ML, CSS, Flask, RESTful APIs, JavaScript, ML Frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, Numpy Pandas etc Experience : 3-4 years

Location: Ahmedabad (On-site) Experience: 3+ Years Employment Type: Full-time About Us: Wonqy Media is a fast-growing digital product studio specializing in eCommerce and custom web development. We’re currently building innovative Shopify apps and exploring the power of AI to speed up development and create smarter experiences. We’re looking for a Full Stack Developer who is not only skilled in traditional stacks like React, Node.js, and Python, but also enthusiastic about working with AI technologies. Responsibilities: Develop and maintain custom Shopify apps (public/private). Build performant, responsive UIs using React.js , Next.js , and Remix . Create and manage backend services using Node.js and Python . Work on AI-powered features , including chatbots, recommendation engines, and data automations. Leverage AI tools (e.g., GitHub Copilot, ChatGPT, LangChain, etc.) to boost development speed and code quality. Integrate APIs, webhooks, and third-party services. Collaborate with UI/UX designers, product managers, and fellow developers. Write clean, scalable, and maintainable code with proper documentation. Requirements: 3+ years of full stack development experience. Strong hands-on experience in Shopify app development . Solid foundation in React.js , JavaScript/TypeScript. Backend expertise in Node.js and Python . Familiarity with Shopify APIs , Polaris design system, and Liquid templates. Comfortable working with databases (MongoDB, PostgreSQL, etc.). Experience working with or integrating AI APIs (OpenAI, Google PaLM, etc.). Familiarity with AI tools to assist in rapid prototyping and smart development. Good understanding of performance optimization, security, and best practices. Bonus Points For: Experience building AI chatbots using NLP libraries or platforms like OpenAI, Rasa, Dialogflow, etc. Knowledge of LangChain , vector databases , or embedding models . Previous work on published Shopify apps. Understanding of cloud deployments (AWS, Vercel, etc.). What We Offer: An opportunity to work on cutting-edge AI + eCommerce projects. In-house, collaborative work culture with real ownership of projects. Skill-building in AI, automation, and emerging technologies. Competitive salary based on experience. To Apply: Send your resume, GitHub/portfolio link, and a note on any AI or Shopify-related projects you've worked on https://wonqymedia.com/work-with-us/ Show more Show less

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Conversational AI Good to have skills : React.js, Cloud Network Operations Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve collaborating with team members to develop innovative solutions and enhance application functionality. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop and implement new features and functionalities in applications. - Collaborate with cross-functional teams to ensure successful project delivery. - Conduct code reviews and provide constructive feedback to team members. - Troubleshoot and debug applications to optimize performance. - Stay updated on industry trends and best practices to enhance application development processes. Professional & Technical Skills: (Project specific) -Dialogflow CX Conversational Developer with experience in enterprise-level conversational AI agents. -Expert in conversational design best practices Experience in NLU tuning Experience in utilizing Dialogflow CX's Generative AI capabilities - Experience in webhook development (NodeJS/Python). Git, CI/CD experience - Must To Have Skills: Proficiency in Conversational AI. - Good To Have Skills: Experience with React.js. - Strong understanding of natural language processing and machine learning algorithms. - Hands-on experience in developing chatbots and virtual assistants. - Knowledge of cloud computing platforms and network operations. - Familiarity with agile development methodologies. Additional Information: - The candidate should have a minimum of 3 years of experience in Conversational AI. - This position is based at our Gurugram office. - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Conversational AI Good to have skills : React.js, Cloud Network Operations Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve collaborating with team members to develop innovative solutions and enhance application functionality. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop and implement new features and functionalities in applications. - Collaborate with cross-functional teams to ensure successful project delivery. - Conduct code reviews and provide constructive feedback to team members. - Troubleshoot and debug applications to optimize performance. - Stay updated on industry trends and best practices to enhance application development processes. Professional & Technical Skills: (Project specific) -Dialogflow CX Conversational Developer with experience in enterprise-level conversational AI agents. -Expert in conversational design best practices Experience in NLU tuning Experience in utilizing Dialogflow CX's Generative AI capabilities - Experience in webhook development (NodeJS/Python). Git, CI/CD experience - Must To Have Skills: Proficiency in Conversational AI. - Good To Have Skills: Experience with React.js. - Strong understanding of natural language processing and machine learning algorithms. - Hands-on experience in developing chatbots and virtual assistants. - Knowledge of cloud computing platforms and network operations. - Familiarity with agile development methodologies. Additional Information: - The candidate should have a minimum of 3 years of experience in Conversational AI. - This position is based at our Gurugram office. - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Conversational AI Good to have skills : React.js, Cloud Network Operations Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve collaborating with team members to develop innovative solutions and enhance application functionality. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop and implement new features and functionalities in applications. - Collaborate with cross-functional teams to ensure successful project delivery. - Conduct code reviews and provide constructive feedback to team members. - Troubleshoot and debug applications to optimize performance. - Stay updated on industry trends and best practices to enhance application development processes. Professional & Technical Skills: (Project specific) -Dialogflow CX Conversational Developer with experience in enterprise-level conversational AI agents. -Expert in conversational design best practices Experience in NLU tuning Experience in utilizing Dialogflow CX's Generative AI capabilities - Experience in webhook development (NodeJS/Python). Git, CI/CD experience - Must To Have Skills: Proficiency in Conversational AI. - Good To Have Skills: Experience with React.js. - Strong understanding of natural language processing and machine learning algorithms. - Hands-on experience in developing chatbots and virtual assistants. - Knowledge of cloud computing platforms and network operations. - Familiarity with agile development methodologies. Additional Information: - The candidate should have a minimum of 3 years of experience in Conversational AI. - This position is based at our Gurugram office. - A 15 years full time education is required. Show more Show less

Job Title: Conversational AI Engineer / NLP & LLM Integration Specialist Experience Required: 2–5 years About the Role We are seeking a highly motivated Conversational AI Engineer to join our team in building intelligent, AI-powered dialogue systems, chatbots, and document-based Q&A tools. This role requires a deep understanding of NLP, LLM (Large Language Model) integration, and the ability to build AI pipelines that convert unstructured data into meaningful responses. The ideal candidate should have strong experience with Python, ML libraries, and API-driven architectures. This is a hands-on, research-to-deployment role . You will play a key part in shaping the product’s intelligence and language capabilities — from designing conversation flows to building semantic search systems and custom logic engines. Key Responsibilities Design and implement AI-driven chatbots and Q&A systems using NLP and LLMs. Perform prompt engineering for LLMs like OpenAI, Claude, or open-source models. Handle Excel/CSV/JSON data parsing to structure domain-specific knowledge bases. Build and integrate information retrieval and semantic search features. Apply intent classification , category detection , and dialogue management techniques. Deploy and optimize backend services that serve AI responses through APIs. Collaborate closely with designers and product teams to build domain-aware, user-friendly conversations . (Optional) Integrate or build astrology-based models or rule-based prediction engines . Required Skills Strong experience in Natural Language Processing (NLP) . Familiarity with LLM integration , prompt engineering , and RAG architectures . Practical knowledge of Machine Learning / Deep Learning . Strong programming skills in Python . Experience working with structured and unstructured data (CSV, JSON, Excel). Familiarity with Conversational AI tools (e.g., Rasa, Dialogflow, or custom-built systems). Understanding of information retrieval, semantic search , and vector embeddings . Ability to write clean, production-ready code and deploy services using Flask/FastAPI . Solid understanding of user intent classification and conversational flow design. Preferred Qualifications Experience building chatbots , virtual assistants, or AI-driven user interfaces. Prior exposure to astrology or rule-based prediction engines (a plus but not required). Familiarity with knowledge graphs or domain-specific ontologies. Hands-on experience with vector stores (e.g., Pinecone , FAISS , Weaviate ) and embedding techniques. Ability to work independently and communicate ideas clearly and effectively. Location : Mohali, Punjab Show more Show less

Job Title: Conversational AI Engineer / NLP & LLM Integration Specialist Experience Required: 2–4 years About the Role We are seeking a highly motivated Conversational AI Engineer to join our team in building intelligent, AI-powered dialogue systems, chatbots, and document-based Q&A tools. This role requires a deep understanding of NLP, LLM (Large Language Model) integration, and the ability to build AI pipelines that convert unstructured data into meaningful responses. The ideal candidate should have strong experience with Python, ML libraries, and API-driven architectures. This is a hands-on, research-to-deployment role . You will play a key part in shaping the product’s intelligence and language capabilities — from designing conversation flows to building semantic search systems and custom logic engines. Key Responsibilities Design and implement AI-driven chatbots and Q&A systems using NLP and LLMs. Perform prompt engineering for LLMs like OpenAI, Claude, or open-source models. Handle Excel/CSV/JSON data parsing to structure domain-specific knowledge bases. Build and integrate information retrieval and semantic search features. Apply intent classification , category detection , and dialogue management techniques. Deploy and optimize backend services that serve AI responses through APIs. Collaborate closely with designers and product teams to build domain-aware, user-friendly conversations . (Optional) Integrate or build astrology-based models or rule-based prediction engines . Required Skills Strong experience in Natural Language Processing (NLP) . Familiarity with LLM integration , prompt engineering , and RAG architectures . Practical knowledge of Machine Learning / Deep Learning . Strong programming skills in Python . Experience working with structured and unstructured data (CSV, JSON, Excel). Familiarity with Conversational AI tools (e.g., Rasa, Dialogflow, or custom-built systems). Understanding of information retrieval, semantic search , and vector embeddings . Ability to write clean, production-ready code and deploy services using Flask/FastAPI . Solid understanding of user intent classification and conversational flow design. Preferred Qualifications Experience building chatbots , virtual assistants, or AI-driven user interfaces. Prior exposure to astrology or rule-based prediction engines (a plus but not required). Familiarity with knowledge graphs or domain-specific ontologies. Hands-on experience with vector stores (e.g., Pinecone , FAISS , Weaviate ) and embedding techniques. Ability to work independently and communicate ideas clearly and effectively. Job Type: Full-time Pay: ₹15,000.00 - ₹40,000.00 per month Benefits: Paid sick time Schedule: Day shift Experience: AI: 1 year (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

We’re looking for an AI/ML Full Stack Engineer who can implement our end-to-end, AI-powered solutions. What You’ll Do 1. Build & Integrate AI Solutions * Develop, train, and maintain machine learning models (e.g., NLP, recommendation engines) for personalized product recommendations and conversational interfaces. * Implement scalable pipelines to process and analyze large datasets (product data, user interactions, logs). 2. Full Stack Development * Design REST or GraphQL APIs to power real-time conversational interactions. * Build frontend components (React, Vue.js, or similar) to embed chat widgets, voice interfaces, and AI-driven product discovery features. * Optimize backend services (Node.js, Python, or Go) for performance and reliability, ensuring smooth customer experiences across web and mobile. 3. Conversational Flow & Orchestration * Collaborate with Product and UX teams to design user-centric conversational flows, ensuring they align with brand voice. * Evaluate and integrate state-of-the-art NLP libraries and frameworks (e.g., SpaCy, Hugging Face Transformers, Rasa, LangChain) for intent detection, sentiment analysis, and context management. 4. Data Engineering & Infrastructure * Work with DevOps to deploy models and services on cloud platforms (AWS, GCP, Azure) using container orchestration (Docker, Kubernetes). * Implement CI/CD pipelines for seamless deployments and continuous model updates. * Ensure robust data security and privacy in compliance with relevant regulations (GDPR, CCPA). 5. Cross-Functional Collaboration * Partner with product managers, designers, and other engineers to define technical solutions that delight users and scale effectively. * Participate in code reviews, architectural planning, and knowledge-sharing sessions. What We’re Looking For 1. Technical Expertise * Hands-on experience in AI/ML (NLP, recommendation systems, or similar). * Strong background in a modern backend language (Python, Node.js, Go, or Java) and comfortable with frontend frameworks (React, Vue.js, or Angular). * Experience with cloud services (AWS, GCP, or Azure) for deploying and scaling AI-driven applications. * Familiarity with database technologies like (Graph/SQL/NoSQL) and data warehousing solutions. * Understanding of ML Ops practices—model versioning, A/B testing, monitoring, and retraining pipelines. 2. Conversational AI & NLP * Experience building chatbots or voice assistants using frameworks such as Rasa, Botpress, Dialogflow, Watson Assistant, or similar. * Knowledge of transformer-based models (GPT, BERT, etc.) for advanced NLP tasks. * Familiarity with text embeddings, intent classification, entity extraction, and sentiment analysis. 3. Full Stack Mindset * Comfortable diving into frontend code for chat/voice UI components. * Ability to build and maintain robust APIs that support real-time, conversation-driven interactions. 4. Bonus Points * Knowledge in eCommerce, recommendation systems, or retail AI solutions. * Exposure to LangChain, LLM fine-tuning, or generative AI approaches. * Background in UI/UX or knowledge of conversational design best practices. Join a fast-paced team where you can grow your ML and full stack skills. Job Type: Full-time Pay: ₹250,000.00 - ₹300,000.00 per year Schedule: Monday to Friday Work Location: In person Expected Start Date: 10/06/2025

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: - Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. - Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services - Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya - Integrate with IVR systems and Proficiency in webhook setup and API integration. - Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline using python. - Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. - Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities - Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. - Document technical designs, processes, and setup for various integrations. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques. - Experience with chatbot , generative AI models, prompt Engineering - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15-year full time education is required Show more Show less

As an AI Voice LLM Integration Developer, you will play a pivotal role in building and optimizing Your work will focus on: Integrating GPT's ASR (speech-to-text) and TTS (text-to-speech) APIs into our platform. Handling real-time voice streaming from VoIP/SIP systems. Optimizing low-latency communication between AI models and telephony platforms (e.g., FreeSWITCH, WebRTC). Supporting PBX call routing handoWs with AI agents. Ensuring high-quality, natural-sounding AI-driven voice interactions. Key Responsibilities Design and develop real-time voice processing pipelines for AI-driven conversations. Integrate OpenAI's Whisper (ASR) and TTS APIs with VoIP and WebRTC systems. Develop low-latency audio streaming middleware between telephony providers(Telnyx, Bandwidth) and GPT. Work with SIP and WebRTC to ensure seamless audio transmission. Implement PBX call routing and AI handoW mechanisms (e.g., transferring AI-handled calls to human agents). Optimize AI voice latency and response times for a real-time, natural experience. Collaborate with VoIP engineers to integrate AI capabilities into SIP-based systems. Design APIs to manage AI-driven IVR workflows and customer interactions. Ensure compliance with telephony regulations (e.g., STIR/SHAKEN, call recording laws). Monitor system performance and implement scalability strategies for voice interactions. Required Qualifications AI LLM Integration o Experience integrating GPT APIs (ChatGPT, Whisper, TTS engines) for voice applications. o Understanding of real-time AI voice processing and conversational AI workflows. Voice Audio Streaming o Experience working with low-latency, real-time audio streaming. o Familiarity with WebRTC, SIP/RTP, and VoIP streaming. Programming Middleware Development o Proficiency in Python, Node.js, or Go for API and middleware development. o Experience developing RESTful APIs and real-time streaming solutions. VoIP Telephony Knowledge o Familiarity with SIP, FreeSWITCH, Asterisk, or other PBX platforms. o Experience working with SIP trunking providers (Telnyx, Bandwidth, Flowroute, etc.). Performance Optimization o Ability to reduce latency in AI-driven conversations. o Experience with audio codec optimization (G.711, Opus, etc.). One or more of the following additional qualifications: o Experience with STT/ASR models beyond GPT (Google Speech-to- Text, Deepgram, Kaldi). o Background in signal processing or audio engineering. o Familiarity with cloud-based voice solutions (AWS Connect, Twilio Voice, Dialogflow CX). o Knowledge of containerization (Docker, Kubernetes) for scaling AI voice workloads. o Experience with multi-tenant architectures for voice AI.

About Mindtickle’s AI/ML Engineering Team Mindtickle is a revenue productivity solution that helps revenue teams enhance their performance by identifying areas for improvement for each team member, recommending appropriate remedial actions, and providing opportunities to implement those recommendations. The charter of the CoE-ML team is to enhance Mindtickle’s solution offerings-such as embedding artificial intelligence in the form of CoPilots, developing hyper-realistic AI-powered role plays, and enabling the automatic curation of collateral while also improving Mindtickle’s internal operations. This includes optimizing workflows, accelerating business processes, and making information more easily discoverable. We work on cutting-edge technologies to drive innovation and deliver advanced AI solutions. We maintain high-quality evaluation standards and continuous improvement practices to ensure our AI features meet stringent performance and reliability criteria. Role Overview As an SDE-3 in AI/ML, you will: Translate business asks and requirements into technical requirements, solutions, architectures, and implementations. Define clear problem statements and technical requirements by aligning business goals with AI research objectives. Lead the end-to-end design, prototyping, and implementation of AI systems, ensuring they meet performance, scalability, and reliability targets. Architect solutions for GenAI and LLM integrations, including prompt engineering, context management, and agentic workflows. Develop and maintain production-grade code with high test coverage and robust CI/CD pipelines on AWS, Kubernetes, and cloud-native infrastructures. Establish and maintain post-deployment monitoring, performance testing, and alerting frameworks to ensure performance and quality SLAs are met. Conduct thorough design and code reviews, uphold best practices, and drive technical excellence across the team. Mentor and guide junior engineers and interns, fostering a culture of continuous learning and innovation. Collaborate closely with product management, QA, data engineering, DevOps, and customer facing teams to deliver cohesive AI-powered product features. Key Responsibilities Problem Definition & Requirements Translate business use cases into detailed AI/ML problem statements and success metrics. Gather and document functional and non-functional requirements, ensuring traceability throughout the development lifecycle. Architecture & Prototyping Design end-to-end architectures for GenAI and LLM solutions, including context orchestration, memory modules, and tool integrations. Build rapid prototypes to validate feasibility, iterate on model choices, and benchmark different frameworks and vendors. Development & Productionization Write clean, maintainable code in Python, Java, or Go, following software engineering best practices. Implement automated testing (unit, integration, and performance tests) and CI/CD pipelines for seamless deployments. Optimize model inference performance and scale services using containerization (Docker) and orchestration (Kubernetes). Post-Deployment Monitoring Define and implement monitoring dashboards and alerting for model drift, latency, and throughput. Conduct regular performance tuning and cost analysis to maintain operational efficiency. Mentorship & Collaboration Mentor SDE-1/SDE-2 engineers and interns, providing technical guidance and career development support. Lead design discussions, pair-programming sessions, and brown-bag talks on emerging AI/ML topics. Work cross-functionally with product, QA, data engineering, and DevOps to align on delivery timelines and quality goals. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 8+ years of professional software development experience, with at least 3 years focused on AI/ML systems. Proven track record of architecting and deploying production AI applications at scale. Strong programming skills in Python and one or more of Java, Go, or C++. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerized deployments. Deep understanding of machine learning algorithms, LLM architectures, and prompt engineering. Expertise in CI/CD, automated testing frameworks, and MLOps best practices. Excellent written and verbal communication skills, with the ability to distill complex AI concepts for diverse audiences. Preferred Experience Prior experience building Agentic AI or multi-step workflow systems (using tools like Langgrah, CrewAI or similar). Familiarity with open-source LLMs (e.g., Hugging Face hosted) and custom fine-tuning. Familiarity with ASR (Speech to Text) and TTS (Text to Speech), and other multi-modal systems. Experience with monitoring and observability tools (e.g. Datadog, Prometheus, Grafana). Publications or patents in AI/ML or related conference presentations. Knowledge of GenAI evaluation frameworks (e.g., Weights & Biases, CometML). Proven experience designing, implementing, and rigorously testing AI-driven voice agents - integrating with platforms such as Google Dialogflow, Amazon Lex, and Twilio Autopilot - and ensuring high performance and reliability. What We Offer Opportunity to work at the forefront of GenAI, LLMs, and Agentic AI in a fast-growing SaaS environment. Collaborative, inclusive culture focused on innovation, continuous learning, and professional growth. Competitive compensation, comprehensive benefits, and equity options. Flexible work arrangements and support for professional development. Show more Show less

About FPL Technologies Credit cards haven't changed much for over half a century so our team of seasoned bankers, technologists, and designers set out to redefine the credit card for you - the consumer. The result is OneCard - a credit card reimagined for the mobile generation. OneCard is India's best metal credit card built with full-stack tech. It is backed by the principles of simplicity, transparency, and giving back control to the user. The Engineering Challenge “Re-imaging credit and payments from First Principles” Payments is an interesting engineering challenge in itself with requirements of low latency, transactional guarantees, security, and high scalability. When we add credit and engagement into the mix, the challenge becomes even more interesting with underwriting and recommendation algorithms working on large data sets. We have eliminated the current call center, sales agent, and SMS-based processes with a mobile app that puts the customers in complete control. To stay agile, the entire stack is built on the cloud with modern technologies. Job Title: Team Lead - Python Chatbot Developer Opportunity: This role is ideal for a highly motivated professional who thrives in leadership roles while staying technically engaged. If you’re passionate about building and leading teams to create cutting-edge conversational AI solutions, we’d love to hear from you. What you will do: Lead, mentor, and manage a team of chatbot developers to deliver robust and scalable conversational AI solutions. Stay hands-on with development, contributing to architecture design, coding, and troubleshooting as required. Collaborate with stakeholders to define project requirements, timelines, and deliverables. Oversee the development of chatbots using frameworks like Rasa, Dialogflow, Hugging Face, and machine learning models. Ensure the quality, performance, and scalability of chatbot solutions by performing regular code reviews and system evaluations. Facilitate team skill development in technologies such as Python, Flask, REST APIs, SQL, TensorFlow, and PyTorch. Optimize chatbot models by fine-tuning pre-trained models and integrating NLP best practices. Foster collaboration within the team to encourage knowledge-sharing and innovation. Monitor project progress, manage risks, and ensure timely delivery of deliverables. Stay updated on industry trends in AI/ML, NLP, and chatbot development and introduce innovative solutions. Experience Range : 6+ years of experience in chatbot development and conversational AI technologies, of which last 2-4 years has been as a Team Lead of a Rasa project Technical Expertise: Strong expertise in Python, Tensorflow, Rasa, Flask, RESTful APIs, and SQL. Hands-on experience with Rasa, Dialogflow, and fine-tuning models using Hugging Face, TensorFlow, or PyTorch. Solid understanding of NLP concepts and their application in chatbot systems. Proven leadership skills with experience managing a team of developers. Excellent problem-solving, communication, and collaboration skills. Ability to drive projects from concept to completion with minimal supervision. Experience in scaling, detecting bottlenecks in tensorflow training, deployment and production issues. Knowledge of distributed systems and caching technologies Experience with benchmarking models Experience in multi-modal models FPL Technologies is an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender ,disability. Show more Show less

Job Title: Conversational AI Engineer / NLP & LLM Integration Specialist Experience Required: 2–4 years About the Role We are seeking a highly motivated Conversational AI Engineer to join our team in building intelligent, AI-powered dialogue systems, chatbots, and document-based Q&A tools. This role requires a deep understanding of NLP, LLM (Large Language Model) integration, and the ability to build AI pipelines that convert unstructured data into meaningful responses. The ideal candidate should have strong experience with Python, ML libraries, and API-driven architectures. This is a hands-on, research-to-deployment role . You will play a key part in shaping the product’s intelligence and language capabilities — from designing conversation flows to building semantic search systems and custom logic engines. Key Responsibilities Design and implement AI-driven chatbots and Q&A systems using NLP and LLMs. Perform prompt engineering for LLMs like OpenAI, Claude, or open-source models. Handle Excel/CSV/JSON data parsing to structure domain-specific knowledge bases. Build and integrate information retrieval and semantic search features. Apply intent classification , category detection , and dialogue management techniques. Deploy and optimize backend services that serve AI responses through APIs. Collaborate closely with designers and product teams to build domain-aware, user-friendly conversations . (Optional) Integrate or build astrology-based models or rule-based prediction engines . Required Skills Strong experience in Natural Language Processing (NLP) . Familiarity with LLM integration , prompt engineering , and RAG architectures . Practical knowledge of Machine Learning / Deep Learning . Strong programming skills in Python . Experience working with structured and unstructured data (CSV, JSON, Excel). Familiarity with Conversational AI tools (e.g., Rasa, Dialogflow, or custom-built systems). Understanding of information retrieval, semantic search , and vector embeddings . Ability to write clean, production-ready code and deploy services using Flask/FastAPI . Solid understanding of user intent classification and conversational flow design. Preferred Qualifications Experience building chatbots , virtual assistants, or AI-driven user interfaces. Prior exposure to astrology or rule-based prediction engines (a plus but not required). Familiarity with knowledge graphs or domain-specific ontologies. Hands-on experience with vector stores (e.g., Pinecone , FAISS , Weaviate ) and embedding techniques. Ability to work independently and communicate ideas clearly and effectively. Job Type: Full-time Pay: ₹15,000.00 - ₹40,000.00 per month Benefits: Paid sick time Schedule: Day shift Experience: AI: 1 year (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

Job Title - Mid level Gen AI fullstack Experience- 5-6 yrs Location - Remote Notice Period - Immediate to 15 days Primary Skills - Gen AI fullstack, Azure cloud, Python Roles and Responsibilities: Design and build scalable, full-stack applications using Node.js and Python Develop and integrate chatbot solutions using both custom-built and third-party platforms (e.g., Dialogflow, Oracle Digital Assistant) Create responsive, accessible UI components using HTML, CSS, and JavaScript Collaborate with AI/ML teams, UX designers, and product owners to deliver intelligent, user- centric chatbot and Gen AI features Integrate OpenAI APIs (and similar LLMs) into applications for advanced conversational and generative capabilities Apply prompt engineering techniques to fine-tune and optimize LLM behavior for specific business use cases Design and implement Retrieval-Augmented Generation (RAG) pipelines to enable real-time, grounded responses using external data sources Build and manage RESTful APIs and handle backend processing, ensuring seamless data flow Troubleshoot, debug, and optimize performance across the tech stack, especially with AI features in production Write clean, maintainable, and testable code and contribute to peer code reviews Work in an agile environment with a focus on delivery, experimentation, and continuous improvement

Job Title - GN - SONG - Service - Google CCAI - Manager Management Level: 07/Manager Location: Gurugram, Mumbai, Pune, Bengaluru, Hyderabad, Chennai Must have skills: Google CCAI Insights Good to have skills: Solution and Platform Design Job Summary: You will work closely with our clients as consulting professionals who design, build, and implement initiatives that can help enhance business performance. Roles & Responsibilities: As part of these, you will drive the following Ability to provide CX solution with Google CCAI suite of contact center products such as Dialogflow CX, Agent Assist, Insights CX and CCAI Platform (Ujet.cx) Co-Lead the Google Contact Center Offering and leverage the previous experience of building the practice from scratch (attracting the best talent in the market and increasing the demand to deliver high impact Google contact center projects) Lead and drive design thinking innovative workshops with the clients using design principles and reshape their thinking about customer experience especially in the contact center / customer care domain Perform CX management capability assessment and identify foundational, evolving and advanced capabilities, co-create the roadmap path with the clients to achieve leading class CX capabilities Formulate CX target operating model and detail out operating model components such as strategic sourcing & mgmt, agent performance management, CX performance, innovation management, CX management, business intelligent and contact center technology support aligned to vision Ability to understand business requirements still putting customer experience at the heart of CX design Ability to think and pre-empt scenarios and questions from cross functional client team (from CX operations, IT, Contact Center operations, digital, analytics, line of business etc) Work with technical Google team/developers to convert user requirements into final product Work with Accenture and client team on CCaaS (Contact Center as a Service) migration, lead existing legacy solution clients on the journey to new solution Lead and deliver agile delivery process, continuous improvement and continuous development Work with other Accenture teams to put forward differentiated CX management solutions for large clients (RFI and RFP process) Participate in pre-sales activities including response to RFPs, creating proofs of concept, creating effective presentations, demonstrating solutions during client orals, effort, and cost estimation process, etc. Participate in practice-specific initiatives including creating points of view, creating reusable assets on contact center space, performing analysis on industry research and market trends, and bringing in innovative solutions, etc. Professional & Technical Skills: A strong and well-established record of accomplishment in designing and delivering Google CCAI solutions and platform Experience of working with business stakeholders across multiple geographic areas, with different priorities and requirements Ability to work in high-paced and complex projects and understand industry-specific customer service processes, operations, and functional needs Thorough skills to manage stakeholder expectations and be engaging in resolving issues and risks for the success of the project Thorough understanding of CCAI Framework and integration with internal and external components. Additional Information: 13+ years of experience in working with Google CCAI solutions – creating virtual agents using Dialogflow, generating meaningful analytics using Insights, designing and implementing customer experience solutions projects (any industry). Passion for building leading class Google contact center solutions for clients Having a thorough understanding of end-to-end Google contact center transformation Thorough understanding of CX & contact center architecture and project experience with Google CCAI solution is a must Experience on working with other Conversational AI (like Amazon Lex, IBM Watson, Microsoft PVA, Nuance, Khoros, etc.) and CCaaS platforms (Genesys, Amazon Connect, Avaya, Cisco, Sprinklr, etc.) is good to have Story boarding, creating differentiated solution as per client needs and compelling story telling is a must Ability to work with ambiguity and exploratory mindset is a must Strong Analytical skills, excellent written and oral communication skills Experience working in a large, complex global team environment Excellent verbal and written communication skills, with the ability to present at the Board and C-level Strong project management, facilitation, and organization skills High on impact and influence Performance/Status reporting to steering committee Problem Solving and Conflict Management Ability to work effectively in a remote, inclusive, virtual, global environment About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions — underpinned by the world’s largest delivery network — Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 624,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Our Company | Accenture About Accenture Strategy & Consulting: Accenture Strategy shapes our clients’ future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our Global Network – a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit https://www.accenture.com/us-en/Careers/capability-network Accenture Global Network | Accenture in One Word At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, come and be a part of our team. Experience: Minimum 10+ year(s) of experience is required Educational Qualification: MBA/PGDM from a tier 1 or 2 Show more Show less

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description Miratech as a trusted partner seeks a CCAI BOT Developer to join our team remotely. This project focuses on developing and implementing advanced conversational AI solutions using the Google CCAI Bot framework. Scrum teams, including IVR and chatbot developers, collaborate to build intelligent voice bots and chatbots that enhance customer interactions in contact centers. The project integrates NLP, NLU, and machine learning technologies with backend systems, databases, and APIs to create scalable, high-performance solutions. It utilizes CI/CD pipelines, agile methodologies, and enterprise-scale technologies like Google Dialogflow, Genesys, and Nuance Mix Tools. Developers also work with REST-based microservices and automated testing to ensure reliability and continuous improvement of the chatbot ecosystem. Responsibilities: Design, develop, and deploy chatbots and voicebots using leading Conversational AI platforms such as Microsoft Bot Framework and Google Dialogflow. Write clean, efficient, and maintainable code following industry best practices and standards. Develop custom components and tools to enhance chatbot functionality, performance, and user experience. Collaborate with cross-functional teams, including developers, designers, and stakeholders, to align chatbot solutions with project goals and user needs. Utilize NLP and ML techniques, including TTS, STT, and SSML, to enable intelligent and context-aware chatbot interactions. Integrate chatbot systems with backend infrastructure, databases, and APIs to ensure seamless data flow and interaction. Troubleshoot and resolve technical issues by analyzing logs, debugging code, and implementing continuous improvements. Stay updated with emerging trends and advancements in chatbot development, AI, and Conversational UI technologies. Qualifications 4+ years of experience with the Google CCAI Bot framework, Dialogflow ES/CX, and Conversational AI technologies, including NLP, NLU, and ML. 4+ years of experience in IVR application development, including Nuance grammar development, GRAT, GRE. Expertise in web services integration, including working with SQL databases, relational databases, and RESTful APIs. Experience with Google, Genesys, and related technologies, including GVP, Nuance Mix Tools, and Genesys Composer. Hands-on experience with Git, Jenkins, Maven, and automated testing methodologies. Strong understanding of agile development and Scrum best practices. Strong analytical skills for resolving technical issues in complex, distributed environments. Experience with the Spring framework and familiarity with Tomcat or similar web servers. Bachelor’s degree in a technology-related field or equivalent professional experience. We offer: Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. Work From Anywhere Culture: make the most of the flexibility that comes with remote work. Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. Show more Show less

This role is for one of Weekday's clients Min Experience: 8 years Location: Bengaluru JobType: full-time Requirements As an SDE-3 in AI/ML, you will: Translate business asks and requirements into technical requirements, solutions, architectures, and implementations Define clear problem statements and technical requirements by aligning business goals with AI research objectives Lead the end-to-end design, prototyping, and implementation of AI systems, ensuring they meet performance, scalability, and reliability targets Architect solutions for GenAI and LLM integrations, including prompt engineering, context management, and agentic workflows Develop and maintain production-grade code with high test coverage and robust CI/CD pipelines on AWS, Kubernetes, and cloud-native infrastructures Establish and maintain post-deployment monitoring, performance testing, and alerting frameworks to ensure performance and quality SLAs are met Conduct thorough design and code reviews, uphold best practices, and drive technical excellence across the team Mentor and guide junior engineers and interns, fostering a culture of continuous learning and innovation Collaborate closely with product management, QA, data engineering, DevOps, and customer facing teams to deliver cohesive AI-powered product features Key Responsibilities Problem Definition & Requirements Translate business use cases into detailed AI/ML problem statements and success metrics Gather and document functional and non-functional requirements, ensuring traceability throughout the development lifecycle Architecture & Prototyping Design end-to-end architectures for GenAI and LLM solutions, including context orchestration, memory modules, and tool integrations Build rapid prototypes to validate feasibility, iterate on model choices, and benchmark different frameworks and vendors Development & Productionization Write clean, maintainable code in Python, Java, or Go, following software engineering best practices Implement automated testing (unit, integration, and performance tests) and CI/CD pipelines for seamless deployments Optimize model inference performance and scale services using containerization (Docker) and orchestration (Kubernetes) Post-Deployment Monitoring Define and implement monitoring dashboards and alerting for model drift, latency, and throughput Conduct regular performance tuning and cost analysis to maintain operational efficiency Mentorship & Collaboration Mentor SDE-1/SDE-2 engineers and interns, providing technical guidance and career development support Lead design discussions, pair-programming sessions, and brown-bag talks on emerging AI/ML topics Work cross-functionally with product, QA, data engineering, and DevOps to align on delivery timelines and quality goals Required Qualification Bachelor's or Master's degree in Computer Science, Engineering, or a related field 8+ years of professional software development experience, with at least 3 years focused on AI/ML systems Proven track record of architecting and deploying production AI applications at scale Strong programming skills in Python and one or more of Java, Go, or C++ Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerized deployments Deep understanding of machine learning algorithms, LLM architectures, and prompt engineering Expertise in CI/CD, automated testing frameworks, and MLOps best practices Excellent written and verbal communication skills, with the ability to distill complex AI concepts for diverse audiences Preferred Experience Prior experience building Agentic AI or multi-step workflow systems (using tools like Langgrah, CrewAI or similar) Familiarity with open-source LLMs (e.g., Hugging Face hosted) and custom fine-tuning Familiarity with ASR (Speech to Text) and TTS (Text to Speech), and other multi-modal systems Experience with monitoring and observability tools (e.g. Datadog, Prometheus, Grafana) Publications or patents in AI/ML or related conference presentations Knowledge of GenAI evaluation frameworks (e.g., Weights & Biases, CometML) Proven experience designing, implementing, and rigorously testing AI-driven voice agents - integrating with platforms such as Google Dialogflow, Amazon Lex, and Twilio Autopilot - and ensuring high performance and reliability What we offer? Opportunity to work at the forefront of GenAI, LLMs, and Agentic AI in a fast-growing SaaS environment Collaborative, inclusive culture focused on innovation, continuous learning, and professional growth Competitive compensation, comprehensive benefits, and equity options Flexible work arrangements and support for professional development Show more Show less

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description Miratech as a trusted partner seeks a CCAI BOT Developer to join our team remotely. This project focuses on developing and implementing advanced conversational AI solutions using the Google CCAI Bot framework. Scrum teams, including IVR and chatbot developers, collaborate to build intelligent voice bots and chatbots that enhance customer interactions in contact centers. The project integrates NLP, NLU, and machine learning technologies with backend systems, databases, and APIs to create scalable, high-performance solutions. It utilizes CI/CD pipelines, agile methodologies, and enterprise-scale technologies like Google Dialogflow, Genesys, and Nuance Mix Tools. Developers also work with REST-based microservices and automated testing to ensure reliability and continuous improvement of the chatbot ecosystem. Responsibilities: Design, develop, and deploy chatbots and voicebots using leading Conversational AI platforms such as Microsoft Bot Framework and Google Dialogflow. Write clean, efficient, and maintainable code following industry best practices and standards. Develop custom components and tools to enhance chatbot functionality, performance, and user experience. Collaborate with cross-functional teams, including developers, designers, and stakeholders, to align chatbot solutions with project goals and user needs. Utilize NLP and ML techniques, including TTS, STT, and SSML, to enable intelligent and context-aware chatbot interactions. Integrate chatbot systems with backend infrastructure, databases, and APIs to ensure seamless data flow and interaction. Troubleshoot and resolve technical issues by analyzing logs, debugging code, and implementing continuous improvements. Stay updated with emerging trends and advancements in chatbot development, AI, and Conversational UI technologies. Qualifications 4+ years of experience with the Google CCAI Bot framework, Dialogflow ES/CX, and Conversational AI technologies, including NLP, NLU, and ML. 4+ years of experience in IVR application development, including Nuance grammar development, GRAT, and GRE. Proficiency in Core Java, Java/J2EE, Servlets, JSP, and REST-based microservices. Expertise in web services integration, including working with SQL databases, relational databases, and RESTful APIs. Experience with Google, Genesys, and related technologies, including GVP, Nuance Mix Tools, and Genesys Composer. Hands-on experience with Git, Jenkins, Maven, and automated testing methodologies. Strong understanding of agile development and Scrum best practices. Strong analytical skills for resolving technical issues in complex, distributed environments. Experience with the Spring framework and familiarity with Tomcat or similar web servers. Bachelor’s degree in a technology-related field or equivalent professional experience. We offer: Culture of Relentless Performance : join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. Competitive Pay and Benefits : enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. Work From Anywhere Culture : make the most of the flexibility that comes with remote work. Growth Mindset : reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. Global Impact : collaborate on impactful projects for top global clients and shape the future of industries. Welcoming Multicultural Environment : be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. Social Sustainability Values : join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. Show more Show less

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset based securitization Spocto - Debt recovery & risk mitigation platform Accumn - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have on-boarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. Job Description: Conversational Analyst Role Overview We are looking for a Conversational Analyst with 2-3 years of experience in designing and enhancing chat and voice user experiences. This role requires a deep understanding of user context, a strong focus on quality assurance, and a passion for creating impactful conversational solutions. The ideal candidate will play a critical role in identifying problems, testing conversational flows, and ensuring a seamless user journey before deployment. Over time, the selected candidate will gain exposure to advanced technologies, including Large Language Models (LLMs) , Bhasa Infrastructure , Automatic Speech Recognition (ASR) , and Text-to-Speech (TTS) systems. Key Responsibilities Context Analysis and Problem Solving : Understand user needs, identify issues in existing conversational flows, and propose enhancements to improve the overall user experience. Testing and Validation : Rigorously test chat and voice user experiences for functionality, usability, and contextual accuracy before they are deployed to production. Collaboration with Data Scientists : Work closely with data scientists to analyze conversational data, identify patterns, and improve conversational AI models and flows. Conversation Flow Optimization : Analyze and refine conversational designs to ensure natural and seamless interactions for both chat and voice-based systems. Data Analysis and Reporting : Use analytics tools to monitor and report on user behavior and feedback, offering actionable insights to improve conversation designs. Learning and Development : Gradually build expertise in advanced conversational AI technologies, including LLMs, ASR, TTS, and the Bhasa infrastructure. Requirements Key Skills and Qualifications 2-3 years of experience working in conversational design, chatbot/voice assistant testing, or a related field. Strong understanding of chat and voice UX principles and best practices. Hands-on experience in testing conversational flows and troubleshooting user interaction issues. Analytical mindset with the ability to interpret user behavior and provide actionable insights. Excellent communication and collaboration skills to work effectively with data scientists and technical teams. Knowledge or exposure to conversational AI tools and platforms (e.g., Dialogflow, Rasa, or similar). Nice-to-Have Skills Familiarity with Large Language Models (LLMs) and their applications. Exposure to technologies such as Automatic Speech Recognition (ASR) and Text-to-Speech (TTS). Understanding of the Bhasa infrastructure or similar conversational AI ecosystems. Basic programming or scripting knowledge for prototyping/testing purposes. Benefits What We Offer Opportunity to work on cutting-edge conversational AI projects. Hands-on exposure to advanced technologies like LLMs, ASR, and TTS. Collaborative and innovative work environment. Professional development and upskilling opportunities. Competitive salary and benefits. If you are passionate about building intuitive conversational experiences and are eager to grow with a company that values innovation and data-driven design, we would love to hear from you. Show more Show less

Work Experience :0-1 1. Design and write high-quality code. 2. Responsible for robust and efficient implementation. 3. Stay abreast of the latest advancements in AI, machine learning, and related technologies. 4. Test, debug, analyze and fix application problems/issues. 5. Participate in code reviews in accordance with program specifications and coding standards, practices and conventions, new designs, changes and enhancements. 6. Interact with stakeholders (internal and external) to support product releases and/or resolve program problems. 7. Research and remain informed of new technology and development tools. 8. Experiment with new technologies and approaches to enhance project outcomes. 9. Contribute to internal knowledge sharing and best practices development. Skills : â—� Should have good command in the Python language. â—� Candidates must have knowledge of one of Python frameworks such as Django/Flask. â—� Design and implement RESTful APIs that are robust, efficient, and scalable using Django and Django Rest Framework. â—� Proficiency in object-oriented design, data structures, algorithm design and problem solving. â—� Design, build, and deploy AI models with a focus on advanced technologies such as ChatGPT, Llama, Claude, DALL-E, Stable Diffusion. â—� Well-versed with Prompt Engineering. â—� Should have knowledge of Agent Development using any of the tech, e.g.. Langchain, AutoGen, CrewAI, etc. â—� Knowledge of Computer Vision, OCR, etc. â—� Good to have exposure to computer vision technologies like Amazon Rekognition, Azure Computer Vision, Google Cloud Vision, and OpenCV. â—� Good to have knowledge of ML Tech and Frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, etc â—� Worked on NLP tech/framework such as BERT, NLTK, Spacy, etc â—� Create intelligent chatbots using AWS Lex, DialogFlow, RASA, and IBM Watson, etc â—� Stay updated with the latest developments in AI, machine learning, and related technologies. â—� Basic Understanding of front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular. E xperience : 0-1 year Experience : 0-1 year Skills : Python, Django, HTML, AI/ML, Css, Flask, RESTful APIs, JavaScript, ML tech and Frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, etc., ,

Job Description Miratech as a trusted partner seeks a CCAI BOT Developer to join our team remotely. This project focuses on developing and implementing advanced conversational AI solutions using the Google CCAI Bot framework. Scrum teams, including IVR and chatbot developers, collaborate to build intelligent voice bots and chatbots that enhance customer interactions in contact centers. The project integrates NLP, NLU, and machine learning technologies with backend systems, databases, and APIs to create scalable, high-performance solutions. It utilizes CI/CD pipelines, agile methodologies, and enterprise-scale technologies like Google Dialogflow, Genesys, and Nuance Mix Tools. Developers also work with REST-based microservices and automated testing to ensure reliability and continuous improvement of the chatbot ecosystem. Responsibilities: Design, develop, and deploy chatbots and voicebots using leading Conversational AI platforms such as Microsoft Bot Framework and Google Dialogflow. Write clean, efficient, and maintainable code following industry best practices and standards. Develop custom components and tools to enhance chatbot functionality, performance, and user experience. Collaborate with cross-functional teams, including developers, designers, and stakeholders, to align chatbot solutions with project goals and user needs. Utilize NLP and ML techniques, including TTS, STT, and SSML, to enable intelligent and context-aware chatbot interactions. Integrate chatbot systems with backend infrastructure, databases, and APIs to ensure seamless data flow and interaction. Troubleshoot and resolve technical issues by analyzing logs, debugging code, and implementing continuous improvements. Stay updated with emerging trends and advancements in chatbot development, AI, and Conversational UI technologies. Qualifications 4+ years of experience with the Google CCAI Bot framework, Dialogflow ES/CX, and Conversational AI technologies, including NLP, NLU, and ML. 4+ years of experience in IVR application development, including Nuance grammar development, GRAT, and GRE. Proficiency in Core Java, Java/J2EE, Servlets, JSP, and REST-based microservices. Expertise in web services integration, including working with SQL databases, relational databases, and RESTful APIs. Experience with Google, Genesys, and related technologies, including GVP, Nuance Mix Tools, and Genesys Composer. Hands-on experience with Git, Jenkins, Maven, and automated testing methodologies. Strong understanding of agile development and Scrum best practices. Strong analytical skills for resolving technical issues in complex, distributed environments. Experience with the Spring framework and familiarity with Tomcat or similar web servers. Bachelor’s degree in a technology-related field or equivalent professional experience. Show more Show less

Job Type Full-time Description Why Birdeye? Birdeye is the highest-rated reputation, social media, and customer experience platform for local businesses and brands. Over 150,000 businesses use Birdeye’s AI-powered platform to effortlessly manage online reputation, connect with prospects through social media and digital channels, and gain customer experience insights to grow sales and thrive. At Birdeye, innovation isn't just a goal – it's our driving force. Our commitment to pushing boundaries and redefining industry standards has earned us accolades as one of the foremost providers of AI, Reputation Management, Social Media, and Customer Experience software by G2. Founded in 2012 and headquartered in Palo Alto, Birdeye is led by a team of industry experts and innovators from Google, Amazon, Salesforce, and Yahoo. Birdeye is backed by the who’s who of Silicon Valley - Salesforce founder Marc Benioff, Yahoo co-founder Jerry Yang, Trinity Ventures, World Innovation Lab, and Accel-KKR. Birdeye is a leading platform that empowers businesses with tools to manage and improve their online reputation, social presence & engagement, customer experience, and growth. We provide innovative solutions that enable businesses to connect with their customers, gather insights, and drive sustainable growth. We seek a Senior Product Manager to join our dynamic Product team. This role is critical in driving our product strategy, focusing on creating a platform that would connect companies with local customers through search, discovery, engagement and conversion. The ideal candidate will possess a strong blend of strategic thinking, analytical skills, user-centric product development with experience in a high-growth SaaS or B2B company having customers in the US. Experience in managing a Listings or a SEO product will be preferred What You'll do? Birdeye is a leading platform that empowers businesses with tools to manage and improve their online reputation, social presence & engagement, customer experience, and growth. We provide innovative AI-driven solutions that enable businesses to connect with their customers, gather insights, and drive sustainable growth. We seek a Senior Product Manager to lead our AI Chatbot initiatives. This role is pivotal in leveraging advanced AI technologies, including Generative AI (GenAI) and custom Large Language Models (LLMs), to create a state-of-the-art chatbot experience. The ideal candidate will have a strong blend of strategic thinking, analytical skills, and a deep understanding of AI- centric product development. This role will focus on integrating the latest AI models and technologies to enhance user engagement, deliver exceptional customer experiences, and drive business growth. Product Strategy: Develop and execute a comprehensive product strategy that aligns with Birdeye’s growth objectives. Roadmap Development: Define and manage the product roadmap, prioritizing features and initiatives based on business impact and data analysis. AI Integration: Collaborate with data scientists and engineers to integrate cutting-edge AI technologies, including Generative AI models and custom LLMs, into the chatbot, enhancing its capabilities and performance. Cross-Functional Collaboration: Work closely with engineering, design, marketing, and sales teams to ensure seamless product development and launch. Data analysis: Conduct user research and leverage data analytics to gain insights into user behavior and preferences. Experimentation: Design and run A/B tests and other experiments to validate hypotheses and optimize chatbot performance. Market Analysis: Stay informed about industry trends, competitive landscape, and emerging technologies to inform product decisions. Metrics and Reporting: Define key performance indicators (KPIs) and regularly report on product performance, making data-driven recommendations for improvement. Data Review: Review and provide feedback on annotated data to ensure the quality and accuracy of AI model training datasets. What do we need? Strategic Thinker: Ability to see the big picture and align product initiatives with business goals. Analytical Mindset: Strong data analysis skills with the ability to interpret complex data sets and make informed decisions. AI Expertise: Deep understanding of AI technologies, including Generative AI, custom LLMs, and natural language processing (NLP). User-Centric: Deep empathy for users, with a passion for solving their problems and enhancing their experience. Collaborative: Excellent communication and interpersonal skills, with a proven track record of working effectively in cross-functional teams. Innovative: Creative problem solver who can think outside the box and drive innovation. Results-Oriented: Strong focus on achieving measurable outcomes and driving continuous improvement. Leadership: Ability to inspire and lead teams, fostering a culture of collaboration and high performance. Requirements Bachelor’s degree in a relevant field; MBA or advanced degree preferred. 8+ years of product management experience, with a focus on AI and chatbot technologies. Proven track record of successfully managing and launching AI-driven products in a fast- paced environment. Experience with A/B testing, user research, and data analytics tools. Experience with project management and roadmap management tools. Strong understanding of AI, including Generative AI models, custom LLMs, machine learning algorithms, NLP, and product-led growth principles and strategies. AI Skill Sets and Technologies: Proficiency in natural language processing (NLP), machine learning algorithms, Generative AI models (e.g., GPT-4, Gemini), chatbot frameworks (e.g., Dialogflow, Rasa), and cloud services (e.g., AWS, Google Cloud). Ability to review and provide feedback on annotated data. Why You'll Join Us: At Birdeye, we are relentless innovators driven by a singular goal: to lead our category with unparalleled excellence. We don't just set goals – we surpass them. We're a team of doers who roll up our sleeves and get the job done, delivering on our promises with unwavering dedication. Working here means embracing a culture of action and accountability, where every person is empowered to make an impact. We don't just talk about making a difference – we make it happen Show more Show less

POCKYDOC Your Pocket-sized Health Partner Job Title: WhatsApp Business Integration Specialist - Intern (PockyDoc) About the Role: We’re seeking a WhatsApp Business Integration Specialist to bring PockyDoc’s mission of accessible, intelligent family healthcare into the palm of every user’s hand. You will architect and implement WhatsApp-based workflows that allow users to book consultations, schedule home visits, access health summaries, and engage with our platform — all within the WhatsApp interface. Think Bank-style WhatsApp automations — but for healthcare. Responsibilities: Set up and manage WhatsApp Business API via Meta Cloud API or providers like Twilio, Gupshup, or 360dialog Build interactive flows for: Doctor onboarding Patient consultations Home visit requests Feedback and follow-ups Connect WhatsApp to PockyDoc's website, mobile app , and internal CRM via backend APIs Create secure user journeys that include button clicks, smart replies, and web/app redirects Automate feedback collection , consult summaries , and appointment reminders Ensure data security and healthcare compliance (HIPAA-style best practices for India) Set up fallback support routing for human escalation Collaborate with design, strategy, and tech teams to reflect PockyDoc’s voice and vision Required Skills: Experience with WhatsApp Business API Proficiency in Node.js or Python Familiarity with webhooks, chat automation, and JSON message templates Strong understanding of tools like Twilio, 360dialog, WATI, Gupshup, or Meta Cloud API Understanding of data protection in healthcare/fintech sectors Ability to design seamless chat UX with quick replies, CTAs, and deep links Bonus: NLP and AI experience with ChatGPT, Rasa, Dialogflow, etc. Output Goals: Launch key WhatsApp flows by July 1, 2025 (Doctor's Day) Enable onboarding, scheduling, and summary delivery via WhatsApp Integration of ABHA login, Aadhaar/insurance document handling Future readiness for multilingual support and voice commands  Bonus if you have: Experience in telehealth, fintech , or family-tech Knowledge of Indian digital health stack (ABHA, DigiLocker, NDHM) Start-up spirit and rapid iteration ability Stipend: 8-10K INR This is a temporary project-based role. Show more Show less

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description Join the Bot Development team to work on the implementation of a new bot solution across various cloud platforms. Your main responsibility will be to develop a bot using Google Cloud Platform technologies, focusing on integrating the LLM (playbook) feature in Dialogflow CX, in addition to standard Dialogflow CX functionalities. Responsibilities: Design, develop, and deploy chatbots and voice bots utilizing leading Conversational AI platforms such as Microsoft Bot Framework, Google CCAI, Dialogflow CX Craft clean, efficient, and maintainable code adhering to industry best practices and standards. Develop custom components and tools to optimize the functionality and performance of our chatbot ecosystem. Collaborate closely with developers, designers, and other stakeholders to meet project requirements and user expectations. Leverage natural language processing (NLP), LLM and machine learning (ML) techniques, including TTS, STT, and SSML, to enable our chatbots to comprehend and respond intelligently to user inputs. Integrate chatbot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions. Investigate and resolve complex technical issues by analysing logs and debugging code for continuous improvement. Stay ahead of the curve by keeping up-to-date with the latest trends and advancements in chatbot development. Qualifications 4+ years of hands-on experience with the Google Cloud Contact Center AI Bot framework. Proficient in Natural Language Processing (NLP), Natural Language Understanding (NLU), Machine Learning (ML), and Conversational AI. Extensive experience with the new LLM (playbook) feature in Dialogflow CX, as well as traditional Dialogflow CX functionalities. Solid understanding of Google as a Software-as-a-Service platform. Experience with Azure Composer Bots. Proven troubleshooting and analytical skills in complex, distributed environments. Familiarity with SQL and experience working with relational databases. Experience integrating web services into applications. Proficient in Agile and Scrum development methodologies. Bachelor’s degree in a technology-related field or equivalent experience. Nice to have: Experience with programming languages such as JavaScript, Python, or Node.js. Familiarity with automated testing practices. We offer: Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. Work From Anywhere Culture: make the most of the flexibility that comes with remote work. Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. Social Sustainability Values: join oursustainable business practicesfocused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. Show more Show less