Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Remote Software Development Jobs in India (3,258)
Remote in = India
Job category = Software Development
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
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Design, develop, and deploy intelligent chatbots and voice bots using Google Cloud Platform and Dialogflow CX. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design and develop secure, scalable extensions for Oracle Fusion Cloud using VBCS and APEX. Lead extension workstreams to build custom applications and self-service portals integrated with ERP and HCM functionality.
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Digital Analyst: Coveo Search & Merchandising Specialist (Coveo Administrator)
Agilent Technologies
·
Full Time
·
2 Weeks Ago
Agilent Technologies
The role is responsible for the administration, configuration, and optimization of the Coveo search platform to ensure high-quality discoverability and search relevance. This includes managing query pipelines, merchandising rules, and analyzing search performance data to align with business priorities.
Staff software Engineer - Snowflake/AI Automation Engineer
Trimble Inc.
·
Full Time
·
2 Weeks Ago
Trimble Inc.
Design and optimize Snowflake-based data pipelines and models to automate revenue recognition and financial reporting. Integrate Snowflake with ERP systems like Salesforce and Oracle to enable end-to-end Quote-to-Revenue workflows.
Drive critical, high-visibility programs involving enterprise-scale Oracle platforms and manage complex dependencies across multiple teams and vendors. Lead stakeholder management and risk mitigation while ensuring smooth financial system operations and month-end close processes.
Lead the infrastructure strategy and architect a high-availability environment to support platform launch and scaling. Take ownership of Kubernetes and AWS environments while guiding the migration of existing customers to a new architecture.
Perform manual testing of web applications and platform features to identify and document bugs. Collaborate with developers to verify fixes and improve overall software quality and testing processes.
Lead the frontend experience for the Courses platform, focusing on system health, developer productivity, and the creation of reusable UI components. Collaborate with cross-functional teams to optimize performance and integrate AI-driven tools to enhance user experiences.
Design, develop, and deploy advanced AI and Generative AI solutions to improve healthcare outcomes and operational efficiency. This includes building multi-modal LLMs, implementing RAG architectures, and managing end-to-end AI solution deployment in cloud and on-premises environments.
Lead the optimization of stored procedures and manage data model complexity for transactional databases. Collaborate across teams to design, build, and scale cloud-based analytics and data platforms using Azure technologies.
Lead the product requirements, feature design, and multi-channel marketing for an AI-focused business strategy platform. Collaborate with the CEO and technical teams to automate content creation and drive user engagement and lead generation.
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Lead the product requirements, feature design, and multi-channel marketing for an AI-focused business strategy platform. Collaborate with the CEO and technical teams to automate content creation and drive user engagement and lead generation.
Lead the architecture, design, and development of large-scale, secure, and scalable distributed software systems. Partner with product and engineering teams to translate business goals into technical roadmaps and mentor engineers across all levels.
Define and own the company-wide technical architecture across the full stack to support large-scale, distributed systems. Lead high-stakes architectural decisions and mentor senior engineers to improve overall engineering standards and reliability.
Plan and execute red team engagements across cloud infrastructure, internal networks, and SaaS products to simulate realistic attack chains. Develop offensive tools and collaborate with the blue team to improve detection coverage and remediation workflows.
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