526 Dialogflow Jobs - Page 2

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

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

Responsibilities : Develop digital products across Digital, web, and mobile web platforms. Lead implementation of conversational AI solutions, including designing engaging conversational flows, intents, and entities. Architect multi-turn dialogues and manage contexts to ensure natural, human-like conversations. Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define requirements and integrate AI solutions seamlessly. Continuously research and evaluate emerging AI technologies and trends to drive innovation and recommend state-of-the-art solutions. Provide application support and manage migrations. Work on a balanced product team to define, design, develop, and deploy front-end client development frameworks like React, GraphQL, Adobe Experience Manager, Salesforce and DialogFlow. Document conversation flows, ML training data, fine-tuning processes, and design guidelines. Solid understanding of chatbot architecture (NLU, dialogue management, response generation). Experience with deep learning/NLP frameworks (TensorFlow, PyTorch, Hugging Face, spaCy). Familiarity with cloud platforms (GCP preferred, AWS/Azure a plus). Knowledge of contact centre AI and integrations with telephony platforms (Genesys, Avaya, Twilio) is advantageous. Preferred Qualifications: B.E. / B.Tech / M.C.A. Minimum 10+ years of experience in a hands-on technical role engaged in developing, implementing, and supporting software applications. 4+ years of work experience with the Spring Platform (Spring MVC, Spring Boot, Spring JDBC, Spring Cloud). 4+ years of work experience with front-end client development frameworks like React, GraphQL, Adobe Experience Manager, and Salesforce. 3+ years of work experience with Microservice architecture and SOAP or REST APIs. 2+ years of Cloud-Native Development experience with the Pivotal Cloud Foundry Platform or similar AWS/Azure. 3+ years of work experience with front-end client development frameworks (Angular/React). 3+ years of work experience with Agile project involvement and Software Craftsmanship. Experience with Large Language Models (LLMs), including their development, fine-tuning, and deployment. Proficiency in Java programming is a significant advantage. Proficiency with other AI/ML frameworks and libraries such as TensorFlow or PyTorch is a plus. Exposure to LLMs (OpenAI, Gemini, LLaMA, Claude) for advanced conversational AI use cases. Knowledge of speech technologies (ASR, TTS) and voice bot deployment. Exposure to other conversational AI platforms (Amazon Lex, IBM Watson Assistant, Microsoft Bot Framework, Rasa). Familiarity with speech-to-text (STT), text-to-speech (TTS) engines and voice-based assistants. Prior experience in customer support automation projects. Experience with various testing types including Unit, integration, regression, user testing, and load testing (specifically TDD with JUnit and Selenium). Experience with code quality tools (e.g., 42Crunch, SonarQube, Checkmarx, etc.). Experience with build and CI/CD tools (e.g., GitHub, Jenkins, Maven, Gradle, etc.) Relevant certifications in Conversational AI, NLP, or Google Cloud AI are a plus. Deliver valuable, working, tested, quality software, released at market speed. Collaborate directly and continuously with Product Managers and Product Owners to prioritize deliverables geared towards a business and user value-driven approach with a continuous improvement and innovative mindset. Champion an Agile mindset and Software Craftsmanship practices, contributing to and leading the agile team for quality deliverables. Research new technologies, influence enterprise technology shifts, and implement new trends impacting Ford application delivery. Participate in and champion highly collaborative practices, including: Full Stack eXtreme Programming (XP) Pair Programming Test-Driven Development (TDD) DevOps Continuous Integration and Continuous Deployment (CI/CD) Security practices (SAST/DAST) Use of monitoring, logging, and tracing tools (Splunk, Dynatrace, etc.) Engage in Agile practices including, but not limited to, Stand-ups, backlog grooming, sprint demos, and journey mapping. On-call, off-hours, and weekend support is required on a rotational basis.

Job Description Responsibilities: Develop digital products across Digital, web, and mobile web platforms. Lead implementation of conversational AI solutions, including designing engaging conversational flows, intents, and entities. Architect multi-turn dialogues and manage contexts to ensure natural, human-like conversations. Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define requirements and integrate AI solutions seamlessly. Continuously research and evaluate emerging AI technologies and trends to drive innovation and recommend state-of-the-art solutions. Provide application support and manage migrations. Work on a balanced product team to define, design, develop, and deploy front-end client development frameworks like React, GraphQL, Adobe Experience Manager, Salesforce and DialogFlow. Document conversation flows, ML training data, fine-tuning processes, and design guidelines. Solid understanding of chatbot architecture (NLU, dialogue management, response generation). Experience with deep learning/NLP frameworks (TensorFlow, PyTorch, Hugging Face, spaCy). Familiarity with cloud platforms (GCP preferred, AWS/Azure a plus). Knowledge of contact centre AI and integrations with telephony platforms (Genesys, Avaya, Twilio) is advantageous. Responsibilities Deliver valuable, working, tested, quality software, released at market speed. Collaborate directly and continuously with Product Managers and Product Owners to prioritize deliverables geared towards a business and user value-driven approach with a continuous improvement and innovative mindset. Champion an Agile mindset and Software Craftsmanship practices, contributing to and leading the agile team for quality deliverables. Research new technologies, influence enterprise technology shifts, and implement new trends impacting Ford application delivery. Participate in and champion highly collaborative practices, including: Full Stack eXtreme Programming (XP) Pair Programming Test-Driven Development (TDD) DevOps Continuous Integration and Continuous Deployment (CI/CD) Security practices (SAST/DAST) Use of monitoring, logging, and tracing tools (Splunk, Dynatrace, etc.) Engage in Agile practices including, but not limited to, Stand-ups, backlog grooming, sprint demos, and journey mapping. On-call, off-hours, and weekend support is required on a rotational basis. Qualifications Preferred Qualifications: B.E. / B.Tech / M.C.A. Minimum 10+ years of experience in a hands-on technical role engaged in developing, implementing, and supporting software applications. 4+ years of work experience with the Spring Platform (Spring MVC, Spring Boot, Spring JDBC, Spring Cloud). 4+ years of work experience with front-end client development frameworks like React, GraphQL, Adobe Experience Manager, and Salesforce. 3+ years of work experience with Microservice architecture and SOAP or REST APIs. 2+ years of Cloud-Native Development experience with the Pivotal Cloud Foundry Platform or similar AWS/Azure. 3+ years of work experience with front-end client development frameworks (Angular/React). 3+ years of work experience with Agile project involvement and Software Craftsmanship. Experience with Large Language Models (LLMs), including their development, fine-tuning, and deployment. Proficiency in Java programming is a significant advantage. Proficiency with other AI/ML frameworks and libraries such as TensorFlow or PyTorch is a plus. Exposure to LLMs (OpenAI, Gemini, LLaMA, Claude) for advanced conversational AI use cases. Knowledge of speech technologies (ASR, TTS) and voice bot deployment. Exposure to other conversational AI platforms (Amazon Lex, IBM Watson Assistant, Microsoft Bot Framework, Rasa). Familiarity with speech-to-text (STT), text-to-speech (TTS) engines and voice-based assistants. Prior experience in customer support automation projects. Experience with various testing types including Unit, integration, regression, user testing, and load testing (specifically TDD with JUnit and Selenium). Experience with code quality tools (e.g., 42Crunch, SonarQube, Checkmarx, etc.). Experience with build and CI/CD tools (e.g., GitHub, Jenkins, Maven, Gradle, etc.) Relevant certifications in Conversational AI, NLP, or Google Cloud AI are a plus.

We are hiring a skilled Data Scientist with expertise in developing and deploying intelligent Voice and Chat Agents. The ideal candidate will be responsible for designing conversational flows, building analytical solutions, and integrating cloud technologies to enhance automation and decision-making. Key Responsibilities Develop and productionise Voice and Chat Agents using Dialogflow CX. Design and maintain Conversational Flows, Playbooks, and Test Cases for chatbot and voice solutions. Evaluate agent performance and implement improvements based on analytics. Implement Python solutions using Cloud Functions and Google Colab for automation and data processing. Write complex SQL queries in BigQuery for data analysis and reporting. Collaborate with cross-functional teams to design solutions that meet business needs. Troubleshoot production issues related to conversational agents. Document processes, configurations, and solutions developed. Must-Have Skills Strong hands-on experience with Dialogflow CX (Flows, Playbooks, Test Cases, Productionising Agents). Proficiency in Python development, particularly in cloud environments. Strong SQL skills with experience in BigQuery. Excellent analytical and problem-solving abilities. Proven experience in implementing Voice and Chatbot solutions. Strong communication and teamwork skills. Skills: cx,agents,skills,python,sql

We are hiring a skilled Data Scientist with expertise in developing and deploying intelligent Voice and Chat Agents. The ideal candidate will be responsible for designing conversational flows, building analytical solutions, and integrating cloud technologies to enhance automation and decision-making. Key Responsibilities Develop and productionise Voice and Chat Agents using Dialogflow CX. Design and maintain Conversational Flows, Playbooks, and Test Cases for chatbot and voice solutions. Evaluate agent performance and implement improvements based on analytics. Implement Python solutions using Cloud Functions and Google Colab for automation and data processing. Write complex SQL queries in BigQuery for data analysis and reporting. Collaborate with cross-functional teams to design solutions that meet business needs. Troubleshoot production issues related to conversational agents. Document processes, configurations, and solutions developed. Must-Have Skills Strong hands-on experience with Dialogflow CX (Flows, Playbooks, Test Cases, Productionising Agents). Proficiency in Python development, particularly in cloud environments. Strong SQL skills with experience in BigQuery. Excellent analytical and problem-solving abilities. Proven experience in implementing Voice and Chatbot solutions. Strong communication and teamwork skills. Skills: cx,agents,skills,python,sql

We are hiring a skilled Data Scientist with expertise in developing and deploying intelligent Voice and Chat Agents. The ideal candidate will be responsible for designing conversational flows, building analytical solutions, and integrating cloud technologies to enhance automation and decision-making. Key Responsibilities Develop and productionise Voice and Chat Agents using Dialogflow CX. Design and maintain Conversational Flows, Playbooks, and Test Cases for chatbot and voice solutions. Evaluate agent performance and implement improvements based on analytics. Implement Python solutions using Cloud Functions and Google Colab for automation and data processing. Write complex SQL queries in BigQuery for data analysis and reporting. Collaborate with cross-functional teams to design solutions that meet business needs. Troubleshoot production issues related to conversational agents. Document processes, configurations, and solutions developed. Must-Have Skills Strong hands-on experience with Dialogflow CX (Flows, Playbooks, Test Cases, Productionising Agents). Proficiency in Python development, particularly in cloud environments. Strong SQL skills with experience in BigQuery. Excellent analytical and problem-solving abilities. Proven experience in implementing Voice and Chatbot solutions. Strong communication and teamwork skills. Skills: cx,agents,skills,python,sql

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

We are hiring a skilled Data Scientist with expertise in developing and deploying intelligent Voice and Chat Agents. The ideal candidate will be responsible for designing conversational flows, building analytical solutions, and integrating cloud technologies to enhance automation and decision-making. Key Responsibilities Develop and productionise Voice and Chat Agents using Dialogflow CX. Design and maintain Conversational Flows, Playbooks, and Test Cases for chatbot and voice solutions. Evaluate agent performance and implement improvements based on analytics. Implement Python solutions using Cloud Functions and Google Colab for automation and data processing. Write complex SQL queries in BigQuery for data analysis and reporting. Collaborate with cross-functional teams to design solutions that meet business needs. Troubleshoot production issues related to conversational agents. Document processes, configurations, and solutions developed. Must-Have Skills Strong hands-on experience with Dialogflow CX (Flows, Playbooks, Test Cases, Productionising Agents). Proficiency in Python development, particularly in cloud environments. Strong SQL skills with experience in BigQuery. Excellent analytical and problem-solving abilities. Proven experience in implementing Voice and Chatbot solutions. Strong communication and teamwork skills. Skills: cx,agents,skills,python,sql

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

We are hiring a skilled Data Scientist with expertise in developing and deploying intelligent Voice and Chat Agents. The ideal candidate will be responsible for designing conversational flows, building analytical solutions, and integrating cloud technologies to enhance automation and decision-making. Key Responsibilities Develop and productionise Voice and Chat Agents using Dialogflow CX. Design and maintain Conversational Flows, Playbooks, and Test Cases for chatbot and voice solutions. Evaluate agent performance and implement improvements based on analytics. Implement Python solutions using Cloud Functions and Google Colab for automation and data processing. Write complex SQL queries in BigQuery for data analysis and reporting. Collaborate with cross-functional teams to design solutions that meet business needs. Troubleshoot production issues related to conversational agents. Document processes, configurations, and solutions developed. Must-Have Skills Strong hands-on experience with Dialogflow CX (Flows, Playbooks, Test Cases, Productionising Agents). Proficiency in Python development, particularly in cloud environments. Strong SQL skills with experience in BigQuery. Excellent analytical and problem-solving abilities. Proven experience in implementing Voice and Chatbot solutions. Strong communication and teamwork skills. Skills: cx,agents,skills,python,sql

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

Job Description: Lead / Assistant Manager – AI Engineer (Advanced Agentic AI) Location: Delhi NCR Level: Lead / Assistant Manager About EXL Service EXL Service is at the forefront of embedding AI into enterprise operations . We are scaling solutions like MiAI Call Simulator, AI Trainer, Upskill.AI, and Transition AI Toolkit to drive measurable impact across Insurance, Healthcare, Banking, and Retail . We are seeking AI Engineers with strong full-stack development skills to design and build Advanced Agentic AI systems that orchestrate multi-step reasoning, integrate enterprise applications, and deliver next-generation AI-driven automation . Key Responsibilities AI Engineering & Development Design, develop, and deploy Agentic AI workflows using LLMs, orchestration frameworks (LangGraph, LangChain, Semantic Kernel), and advanced prompting strategies. Build scalable full-stack applications integrating AI agents with enterprise platforms (ServiceNow, Salesforce, Jira, custom APIs). Develop self-healing automations, API connectors, and middleware to enable seamless human-AI collaboration. Architecture & Systems Integration Architect end-to-end AI solutions covering data ingestion, model orchestration, microservices, and UI layers. Leverage cloud-native infrastructure (Azure OpenAI, AWS Bedrock, GCP Vertex AI) to build secure and compliant AI systems. Ensure AI agents adhere to governance, auditability, and compliance frameworks (GDPR, HIPAA, PCI-DSS). Product & Innovation Collaborate with Product Managers to translate business requirements into AI-first features. Prototype, test, and optimize Agentic AI capabilities for enterprise-scale adoption. Contribute to EXL’s AI Innovation labs with cutting-edge solutions in conversational AI, simulation, and process automation. Team & Delivery Mentor junior engineers in AI frameworks and full-stack practices. Drive Agile ceremonies, ensure backlog delivery, and maintain production-ready AI deployments. Partner with cross-functional teams (SMEs, designers, DevOps, QA) to ensure quality and scalability. Required Skills & Experience Core AI/ML Skills 5–8 years of experience in software engineering / AI engineering. Strong experience in building Agentic AI solutions with LLM orchestration (LangChain, LangGraph, AutoGen, Semantic Kernel). Hands-on with RAG (Retrieval Augmented Generation), fine-tuning, and multi-agent orchestration. Exposure to voice / conversational AI (Azure Cognitive Services, Twilio, Dialogflow, etc.) a plus. Full-Stack Development Strong in JavaScript/TypeScript, React/Next.js, Node.js, Python. Proficiency in REST / GraphQL APIs, microservices, containerization (Docker, Kubernetes). Strong knowledge of databases (SQL/NoSQL, vector DBs like Pinecone, Weaviate, Chroma). Cloud & DevOps Experience with Azure (preferred), AWS, or GCP AI services. Knowledge of CI/CD, MLOps pipelines, and monitoring tools. Familiarity with security practices (OAuth2.0, JWT, API security, data encryption). Soft Skills Strong problem-solving with system-level thinking. Ability to work in agile squads and deliver in fast-paced environments. Good communication and ability to collaborate with product/business teams. Preferred / Good-to-Have Exposure to Agent simulation environments for training and testing (e.g., CrewAI, OpenAI Swarm). Experience with GenAI integrations in enterprise L&D, Customer Service, or Operations platforms. Contributions to open-source AI frameworks. Certifications: Azure AI Engineer Associate, TensorFlow Developer, or equivalent.

About This Role Wells Fargo is seeking a Senior Software Engineer within the Enterprise Core Infrastructure Services (CIS) under CTO Organization focused on enabling the Next generation Gen AI solutions on public cloud platforms. In This Role, You Will Write, develop, and deploy Terraform code and modules for infrastructure as code to provision and manage Gen-AI services on GCP, Azure, and OpenAI platforms, ensuring production-ready deployments. CIS CTO is a key contributor in delivering and automating the provisioning of Cloud Infrastructure using Infrastructure as a Code for the cutting-edge Gen-AI services such as Agentic Solutions, Agentic Development Frameworks (ADK), Agentic-to-Agentic (A2A) services, MCP (Model Control Protocol) framework and the associated LLM models in Azure and GCP Clouds. Enable and optimize infrastructure for agentic AI frameworks, including A2A protocols (e.g., Google's proposed frameworks) and Model Control Protocol (MCP). Leverage expertise in large language models (LLMs) such as GPT-4, Google-based models (e.g., Gemini), and Anthropic-based models to support financial services applications. Collaborate with cross-functional teams to integrate Gen-AI solutions into financial platforms, ensuring alignment with business needs. Ensure scalability, security, and performance of cloud-based Gen-AI infrastructure. Mentor junior engineers and contribute to technical strategy for Gen-AI initiatives. Understanding of industry best practices and new technologies, influencing and contributing as part of the technology team to meet deliverables and work on new initiatives. Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals. Build and Enable cloud infrastructure, automate the orchestration of the entire GCP/Azure Cloud Platforms for Wells Fargo Enterprise. Working in a globally distributed team to provide innovative and robust Cloud centric solutions. Closely working with Product Team and Vendors to develop and deploy Cloud services to meet customer expectations. Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 3+ years working with GCP and a proven track record of building complex infrastructure programmatically with IaC tools. Having at least 2+ years of experience in Azure Cloud delivering Enterprise production grade services and solutions is a huge plus. Must have 2+ years of hands-on experience with Infrastructure as Code tool Terraform and GitHub. Must have professional cloud certification on GCP and or Azure Infrastructure and automation technologies: Orchestration, Harness, Terraform, API development, Test Driven Development Sound knowledge on the following areas with an expertise on one of them - Should have a good understanding of networking, firewalls, load balancing concepts (IP, DNS, Guardrails, Vnets) and exposure to cloud security, AD, authentication methods, RBAC. Proficient and have a thorough understanding of Cloud service offerings on Data, Analytics, AI/ML. Exposure to Analytics AIML services like BigQuery, Vertex AI, Azure AI, OpenAI, Azure Machine Learning etc. Proficient with GCP services like Vertex AI Suite , Agent Builder, Vector Search,DialogFlow,Workbench etc Proficient with GCP Predictive AI services ML Pipelines, Model serving Proficient with GCP Generative AI services , LLMs ,RAG , Reasoning engine,Valuation etc Thorough understanding and handson for GCP Agent space NotebookLM Proficient and have a thorough understanding of Cloud service offerings on Security, Data Protection and Security policy implementation Thorough understanding of landing zone and networking, Security best practices, Monitoring and logging, Risk and controls. Experience working in Agile environment and product backlog grooming against ongoing engineering work Enterprise Change Management and change control, experience working within procedural and process driven environment Desired Qualifications: Deep expertise in GenAI, agentic frameworks, A2A protocols, and MCP, with hands-on experience in LLMs (e.g., GPT-4, Google Gemini, Anthropic Claude). Advanced proficiency in writing Terraform code and modules for infrastructure as code on GCP, Azure with a focus on production deployment. Should have exposure to Cloud governance and logging/monitoring tools. Experience with Agile, CI/CD, DevOps concepts and SRE principles. Experience in scripting (Shell, Python, Go) Excellent verbal, written, and interpersonal communication skills. Ability to articulate technical solutions to both technical and business audiences Ability to deliver & engage with partners effectively in a multi-cultural environment by demonstrating co-ownership & accountability in a matrix structure. Delivery focus and willingness to work in a fast-paced, enterprise environment. Posting End Date: 7 Sep 2025 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants With Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment And Hiring Requirements Third-Party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Reference Number R-472121

Role Overview We are seeking a talented Voicebot Developer with Node.js expertise to design, develop, and optimize AI-driven voice interaction systems. You will be responsible for creating conversational workflows, integrating with speech recognition and synthesis technologies, and ensuring seamless backend performance for our voice-enabled applications. Responsibilities • Voicebot Development: Build, enhance, and maintain voicebot solutions using Node.js and relevant frameworks. • Integration: Connect voice platforms (e.g., Google Dialogflow, Amazon Lex, Microsoft Bot Framework, Rasa) with backend services and APIs. • Speech Processing: Implement and optimize speech-to-text (STT) and text-to-speech (TTS) capabilities for natural user experiences. • Workflow Design: Collaborate with product and UX teams to design smooth, conversational user journeys. • Backend Services: Develop robust server-side logic, APIs, and data management solutions. • Security: Implement data protection, user authentication (OAuth/JWT), and secure integrations. • Testing & QA: Write testable, reusable code and perform unit testing to ensure reliability. • Performance Optimization: Monitor and enhance the responsiveness, accuracy, and scalability of voicebot systems. • Documentation: Maintain technical documentation for processes, integrations, and workflows. • Continuous Learning: Stay updated on advancements in voice AI technologies and Node.js development trends. Qualifications • Minimum 2 years of hands-on experience in Node.js development. • Proven experience in developing and deploying voicebots or conversational AI solutions. • Knowledge of frameworks like Express.js and experience with asynchronous programming patterns. • Familiarity with voicebot platforms such as Dialogflow, Amazon Lex, Rasa, or Botpress. • Strong understanding of JavaScript fundamentals. • Basic knowledge of front-end technologies (HTML5, CSS3) for UI integration. • Experience with MongoDB/MySQL or other database systems. • Understanding of accessibility and user experience in voice interfaces. • Experience in integrating third-party APIs, cloud services, and microservices architecture. • Proficient with Git and code versioning best practices. • Problem-solving mindset and ability to troubleshoot production issues. M ust-Have Skills • Node.js, Express.js • Conversational AI / Voicebot development • JavaScript, HTML, CSS • Speech-to-Text & Text-to-Speech integration • API and database integration (MongoDB, MySQL) • Understanding of authentication protocols (OAuth/JWT)

Responsibilities: Build, configure, and optimize conversational flows in RetellAI.com (not just single-prompt agents). Translate business requirements into structured dialogue flows, handling multiple branches, edge cases, and real-life conversation patterns. Integrate RetellAI agents with external platforms via Make.com and/or n8n . Debug, test, and refine agent behavior to ensure high performance and reliability. Document workflows and provide best practices for scalable agent builds. Collaborate with the internal team to deliver client-ready solutions. Requirements: 2+ years of experience in conversational AI, automation, or related fields (exceptions possible for candidates with a strong project portfolio). Proven expertise with RetellAI.com , specifically in conversational flow creation (not just single-prompt or multi-prompt setups). Experience with Make.com and/or n8n for workflow automation. Strong knowledge of webhooks, JSON, HTTP requests, APIs, and integrations . Strong problem-solving and debugging skills. Evidence of completed projects (portfolio, demos, or case studies) showing real conversational flows. Ability to work independently and manage time effectively in an hourly engagement model. Fluent English communication skills. Nice-to-Haves Experience integrating with CRMs, booking platforms, or call management systems. Familiarity with other AI platforms (e.g., Dialogflow, Voiceflow, etc.) for broader perspective.

Role: CCAI Development Fulltime (Work from office Mon-Fri) Location: Hyderabad/Bangalore/Pune Dialogflow, CCAI Development, Conversation design, Python,QA. Contact Center AI Platform CI/CD, You will be responsible for leading the technical vision, architecture, and development of conversational AI applications that leverage natural language understanding, speech synthesis, and generative models. Define and execute the technical strategy and roadmap for Google Cloud Contact Center AI and Generative AI projects. Design and develop conversational AI applications using Google Cloud products such as Dialogflow, CCAI Agent Assist, CCAI Insights, Speech-to-Text, Text-to-Speech, and CCAI Platform

About LimeChat At LimeChat , we’re on a mission to revolutionize conversational commerce by enabling human‑level interactions on WhatsApp. Backed by top‑tier investors such as Stellaris, Titan, Pi Ventures and part of Y Combinator W21 , we already power 500+ leading brands—including Mahindra, HUL, ITC, and Mamaearth. Our next frontier: enterprise verticals like BFSI, Health, Auto, and Retail . We’re shipping cutting‑edge GenAI agents that automate and personalise millions of customer journeys every single day. Our founders are Computer Science alumni from IIT Delhi with a specialization in AI and have been recognized as Forbes 30 Under 30 honorees for their groundbreaking work. Their vision and leadership drive us to build the best products in the industry. We’re a tight‑knit crew that moves fast, sweats the details, and owns outcomes. If that sounds like your vibe, you’ll feel right at home. Some Quotes We Live By “It’s okay to fail. It’s not okay to not try.” “Do the right thing when others are not looking.” Why this role matters Our Product team is scaling quickly. As an Associate Product Manager , you’ll keep the engine humming by writing crisp docs, coordinating demos, and shepherding custom bot builds—from brief to ship. Your work frees senior PMs to focus on strategy while ensuring nothing slips through the cracks. Responsibilities Own product documentation: Maintain release notes, API guides, and internal wikis so everyone—from Sales to Support—has the latest intel. Draft feature PRDs: Translate fuzzy ideas into clear problem statements, user stories, and acceptance criteria. Build demo bots: Configure sandbox flows in our bot builder to wow prospects and investors. Client onboarding liaison: Gather requirements for custom implementations, align timelines, and manage feedback loops. Oversee custom bot development: Work with Design & Engineering to scope, track, and deliver bespoke solutions on time. Market & user research: Conduct quick competitor teardowns and user interviews to inform backlog prioritisation. Metrics & QA: Define success metrics, run smoke tests, and monitor dashboards post-launch. Must-haves Early-career product exposure: 0–2 yrs full-time or 2+ internships in product / consulting / engineering. Docs that sing: Provide a link or PDF sample of a PRD, API spec, or product wiki page you authored . Sprint ownership: Led ≥2 Agile sprints in Jira/Linear—attach a brief summary in your résumé or application form. Data literacy: Can demo VLOOKUP, pivot tables, and run a basic SELECT … LIMIT 10 in SQL. Stakeholder translation: List one project where you gathered client requirements and shipped a feature within deadline. Prototype & demo skills: Comfortable building a bot or API mock (Dialogflow / Postman / LangChain) and presenting it live. Nice-to-have Hands-on with no-code/chatbot builders (Dialogflow CX, Rasa, LangChain agents, WhatsApp Business APIs). Basic scripting in Python or JS for quick automations or API pokes. Familiarity with UX tools (Figma, Whimsical) and mapping customer journeys. Exposure to SaaS onboarding metrics (activation, time-to-value, NPS, NRR). Client-facing experience—requirements workshops, UAT support, or implementation projects. Certifications in product/agile (CSPO, AIPMM, PSM) or project management (PMP). Past work with analytics stacks (Mixpanel, Amplitude, Looker Studio) to track feature usage. Growth Path | **Year 1** | Ship 3+ small features, own documentation pipeline, and launch demo bots that convert 30 % more prospects. | **Year 2+** | Lead a product vertical or transition into PM track while mentoring incoming APMs. Benefits Unlimited PTO / sick leave (minimum 15 days encouraged) Subsidised fitness membership Free lunch and snacks Annual company retreat Bring your dog/cat to work 🐶 How to Apply Does this role sound like a good fit? Apply here Choose “Associate Product Manager (APM)” in the dropdown.

Job Title: Information Technology Team Lead Location: Hyderabad, India (Onsite) Company: Nice Digitals (A Division of Nice Interactive) Employment Type: Full-Time Experience Required: 5+ years in Technology Leadership within the IT Industry (Experience working with Start-ups is a plus) Role Overview As the Information Technology Team Lead , you will be responsible for shaping and executing the company’s technology strategy, leading development teams, and overseeing the architecture, scalability, and delivery of all digital products and platforms. This is a strategic leadership role that also requires strong technical acumen and hands-on capabilities. Key Responsibilities Define and implement the overall technology strategy aligned with business objectives and client growth. Lead the full lifecycle of project delivery including architecture, development, deployment, and maintenance of websites, marketing platforms, and digital products. Manage and mentor cross-functional technology teams (developers, QA, DevOps, UI/UX). Collaborate with marketing and operations teams to deliver performance-driven digital solutions. Ensure robust data security, infrastructure scalability, and system performance. Evaluate, implement, and optimize tech stacks, frameworks, and third-party integrations. Lead initiatives for automation, CI/CD, and DevOps best practices. Drive the design and deployment of AI agents and automation workflows that enhance customer interactions and internal processes. Stay current with emerging technologies—especially AI, ML, and conversational agents—and integrate them where appropriate. Oversee technical aspects of client-facing projects, ensuring quality, timeliness, and client satisfaction. Manage IT budgets, vendor relationships, and procurement of technology services/tools. Drive innovation by exploring emerging technologies relevant to web development, digital marketing, and customer experience. Required Skills & Experience 5+ years of experience in the IT industry, with at least 5 years in a senior leadership or Information Technology Team Lead role. Proven experience in managing large-scale web development and digital marketing technology projects. Expertise in full-stack development, including modern front-end and back-end technologies. Strong knowledge of cloud platforms (AWS, Azure, or GCP), web architecture, APIs, and security standards. Experience with CMS platforms, SEO tools, analytics, and automation frameworks. Hands-on experience with AI technologies, including AI chatbots, virtual assistants, and integration of AI APIs (OpenAI, Google Dialogflow, etc.). Familiarity with white-label business models and client-centric service delivery. Excellent leadership, decision-making, and team-building capabilities. Strong communication and client interaction skills. About Us Nice Digitals , a subsidiary of Nice Interactive , has been delivering exceptional web development, online marketing, and white-label digital services since 2012. As a trusted partner to a diverse client base, we specialize in expanding businesses through innovative, client-centric marketing and technology solutions. At Nice Digitals, we do not seek credit—we build reputations. Our focus is on being strategic promoters, not owners, of the brands we serve. Our team of creative and technical professionals is committed to delivering scalable, secure, and future-ready solutions that drive measurable business growth. We’re now looking for an experienced Information Technology Team Lead to lead our technology function, enhance operational excellence, and align our digital capabilities with business goals.

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

Job Title: Conversational Designer: Location: Hyderabad Job Type: Full-Time Experience Level: Minimum 2 years of experience as a Conversational Designer About the Role We are looking for a Conversational Designer to join our team and shape intuitive, human-like experiences across our Conversational AI platforms (chatbots, voice bots, and virtual assistants). You'll work closely with product managers, developers, business stakeholders, and subject matter experts to create engaging, on-brand dialogue flows that help users accomplish their goals with ease. This role involves regular interaction with clients based in the UK and USA , as well as collaboration with our internal operations and development teams . Comfort and confidence in engaging with global stakeholders is essential. You will also be responsible for the continuous fine-tuning of bot experiences by leveraging bot analytics, performance data, and user feedback to improve conversation flow, coverage, and effectiveness over time. Responsibilities: Design end-to-end conversation flows, use cases, and intents for chatbots and voice assistants Write and optimize prompts, responses, fallbacks, and disambiguation paths with natural, empathetic, and context-aware language Collaborate with NLP teams to ensure accurate training data and utterance coverage Partner with business stakeholders, subject matter experts and product teams to map customer journeys and identify automation opportunities Use tools like Dialogflow, Voiceflow, Rasa, or LivePerson or similar to build and test conversational experiences Maintain tone, personality, and consistency of the virtual assistant across use cases and channel Create conversation design documentation including flows, sample dialogues, and design rationale Communicate design concepts and rationale clearly to both technical and non-technical stakeholders, including clients Experience 2+ years of experience in conversational design or journey design for AI-powered bots Strong understanding of conversation design principles, user intent modeling, and dialogue structuring Experience with NLP platforms like LivePerson, Yellow.AI, Kore.AI, Dialogflow, IBM Watson, Amazon Lex, or similar

Position Title: AI & ML 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 & ML 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: ₹25,000.00 - ₹80,000.00 per month Benefits: Leave encashment Work Location: In person

Conversation Bot Engineer Remote MAX - 35 LPA Must Have - Dailogflow, NLP, Python OR Node Required Skills: ● Experience in development of virtual agents (chatbots, voicebots) and natural language processing ● Experience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse.ai, Amazon Lex, Rasa, Luis, Kore.AI, Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein etc. ● Knowledge of one or more of the following technologies: Python, JavaScript or Node.js ● Experience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process data ● Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management ● Strong written communication skills ● Ability to learn latest technologies ● Good problem-solving ability Nice to have skills: ● Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice apps built on Amazon Alexa or Google Home is a plus ● Experience in Test Driven Development & Agile methodologies ● Knowledge of creating an end to end pipeline for development of AI based conversational applications ● Perform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patterns ● Ability to write regular expressions for data cleaning and preprocessing ● Understanding of API integrations, Single-Sign-on and token-based authentication ● Develop unit test cases as per project specific standards ● Experience with HTTP, Sockets, REST and other web services ● Perform keyword and topic extraction from chat logs ● Knowledge of training and tuning topic modelling algorithms like LDA and NMF ● Understanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metric ● Knowledge of frameworks like nltk and spacy ● Ability to write regular expressions for

Responsibilities: Build, configure, and optimize conversational flows in RetellAI.com (not just single-prompt agents). Translate business requirements into structured dialogue flows, handling multiple branches, edge cases, and real-life conversation patterns. Integrate RetellAI agents with external platforms via Make.com and/or n8n . Debug, test, and refine agent behavior to ensure high performance and reliability. Document workflows and provide best practices for scalable agent builds. Collaborate with the internal team to deliver client-ready solutions. Requirements: 2+ years of experience in conversational AI, automation, or related fields (exceptions possible for candidates with a strong project portfolio). Proven expertise with RetellAI.com , specifically in conversational flow creation (not just single-prompt or multi-prompt setups). Experience with Make.com and/or n8n for workflow automation. Strong knowledge of webhooks, JSON, HTTP requests, APIs, and integrations . Strong problem-solving and debugging skills. Evidence of completed projects (portfolio, demos, or case studies) showing real conversational flows. Ability to work independently and manage time effectively in an hourly engagement model. Fluent English communication skills. Nice-to-Haves Experience integrating with CRMs, booking platforms, or call management systems. Familiarity with other AI platforms (e.g., Dialogflow, Voiceflow, etc.) for broader perspective.

As part of your responsibility to design new Chatbot journeys you will source and review information and interact with a number of stakeholders to deliver optimised results.