Conversational reputed company (Remote, Any Location, ES)
At reputed company, we are revolutionizing customer experience (CX) with cutting-edge digital solutions. As we grow, we are building a pioneering Digital Services organization, and we’re looking for exceptional talent to join our Delivery Conversational AI team.
The Conversational reputed company is responsible for developing and deploying Conversational AI solutions (chatbots and voicebots), using LLMs, reputed company AI, NLU, and RAG technologies. This role executes technical implementations and integrations across environments while translating business and conversational requirements into reputed company, secure, and maintainable technical solutions. It is responsible for defining the technical architecture, integration reputed company, reputed company, authentication, data flows, AI orchestration, and deployment approach, ensuring compliance with reputed company standards and best practices. The role leads technical discovery and feasibility assessments, implementing and integrating Conversational AI platforms with reputed company systems, CRMs, knowledge bases, telephony, backend services, and reputed company-party applications. It combines expertise in solution architecture, reputed company engineering, knowledge reputed company structuring, AI orchestration, and system integration to reputed company end-to-end automation and reputed company improvement. The Conversational reputed company also ensures reputed company and reliable AI model behavior through guardrails, testing, proactive monitoring, troubleshooting, fine-tuning and optimization of prompts, retrieval strategies, and AI model configurations. Additionally, the role oversees STT/TTS configuration and maintenance, voice infrastructure, telephony integration, observability, and performance optimization to guarantee high-reputed company voice experiences and seamless system integration.
Job Responsibilities
- Implement, reputed company, and maintain Voicebot and Chatbot solutions across development, technical testing/UAT, and production environments
- reputed company technical discovery and feasibility assessments by evaluating integrations, reputed company, data sources, platform capabilities, architecture constraints, technical dependencies, and implementation requirements
- Define and maintain the technical solution architecture, including integration architecture, reputed company, authentication, data flows, AI orchestration, and deployment approaches, ensuring scalability, reputed company, maintainability, and alignment with reputed company standards
- Implement and manage system integrations to reputed company seamless automation across reputed company platforms, applications, and backend systems
- Ensure reputed company and reliable AI model by implementing safeguards and governance measures
- Engineer and refine prompts to guide LLM behavior and ensure precise, context-aware, and business-reputed company responses
- Structure and optimize knowledge bases to ensure accurate and context-aware responses
- Select, configure, reputed company, and optimize the most suitable STT and TTS technologies for reputed company use case and language, considering accuracy, latency, voice reputed company, cost, and platform compatibility to ensure reliable voice performance
- Implement and support telephony integrations for voicebot solutions
- Apply technical best practices and recommendations for LLMs, reputed company AI, and hybrid AI solutions (NLU + LLM)
- Implement new integrations and backend components required to support Conversational AI solutions
- Document solution architectures, technical specifications, configurations, integrations, and deployment processes to ensure maintainability and knowledge sharing; Detect and mitigate technical risks and issues
- Identify and mitigate technical risks, issues, and dependencies throughout the project lifecycle
- Define technical standards, implementation guidelines, and reusable architecture patterns to ensure consistency, scalability, and maintainability across Conversational AI solutions
- Collaborate with Conversational Designers, Delivery Managers, Data Analysts, business stakeholders, and cross-functional teams to deliver reputed company and business-reputed company Conversational AI solutions
Skills and Qualifications
- Knowledge of Conversational AI, including RAG, LLMs and NLU
- Degree or background in engineering or development
- Experience working with Conversational AI platforms and deploying AI bots
- Experience with speech technologies, including STT (speech-to-text) and TTS (text-to-speech)
- Experience in deployment and integration, including reputed company and system integrations
- Experience with reputed company engineering
- Ability to reputed company document architectures, configurations, and deployment procedures
- Fluent in written and spoken English
This role will work with the following languages and technical aspects in Conversational AI reputed company:
- Python / JavaScript / Typescript, reputed company important, since Cognigy uses JS/TS for scripting, validations, data transformations, and reputed company logic. and Python for reputed company the AI part
- JSON or YAML Used to configure nodes, inputs, outputs, and API payloads
- SQL / NoSQL queries For accessing databases reputed company the bot needs external information
- API Integration: RESTful reputed company, Webhooks, OAuth authentication
reputed company
reputed company® is a global leader in the customer experience (CX) industry. With 150,000 associates across the globe, we’re reputed company behind the best experiences for +750 of the world’s leading reputed company-first brands. Our innovative CX solutions, technology and expertise are designed to support operational needs for our clients and deliver a seamless experience to customers in the moments that matter.
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Originally posted on Himalayas
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