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 (49,606)
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 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.
Translate game design documents into HTML5 presentations using TypeScript and Pixi.js. Manage the full development lifecycle from feature breakdown in JIRA to optimization and deployment via GitLab CI.
Senior Creative Designer (m/w/d) mit Fokus Performance & AI
Digital Career Institute & Social Impact School
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Full Time
·
2 Weeks Ago
Digital Career Institute & Social Impact School
Develop and implement high-conversion ad creatives across various digital formats using AI-supported visuals and videos. Continuously optimize content based on campaign goals, target group insights, and performance data in collaboration with marketing teams.
Responsible for creating and expanding software environments and automating developer and tester workstations. This includes building automation tools for the software production process and managing infrastructure components like Reverse Proxy and monitoring services.
MES PAS X - Application Engineer
The businesses of Merck KGaA, Darmstadt, Germany
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Full Time
·
2 Weeks Ago
The businesses of Merck KGaA, Darmstadt, Germany
Deliver IT projects and services for business applications within the Manufacturing, Quality, and Operations Technology domain, focusing on Manufacturing Execution Systems. Manage ITIL processes, external suppliers, and ensure GxP compliance as a Qualification Owner.
Provide technical and business consultation to sales teams and customers to design customer-centric solution architectures. Drive technical selling approaches and transform customer feedback into actionable product roadmap items.
Lead the technical sales process by conducting discovery, demos, and proof-of-concepts in partnership with Account Executives. Translate customer pain points into technical DataOps solutions and provide feedback to influence product strategy.
Build and productionize AI-powered features and agentic systems across eCommerce, marketing, and analytics workflows. Manage the full ML lifecycle from experimentation and model training to deployment and monitoring in production environments.
The Test Engineer II will convert requirements into applications by designing and executing manual and automated tests. They will collaborate with Agile teams to ensure software quality throughout the development life cycle.
Drive sales growth of HVAC products by identifying new business opportunities and building relationships with contractors, consultants, and end-users. Provide technical system design and support to ensure smooth project delivery and client satisfaction.
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Lead the development and deployment of end-to-end AI, ML, and Agentic AI solutions within a cloud-native environment. Drive strategic initiatives for intelligent workload management, cloud cost optimization, and MLOps best practices.
The Solution Architect serves as a technical advisor to align SUSE's open-source solutions with customer business needs. Responsibilities include managing the technical validation process, conducting PoCs, and collaborating with sales and product teams to drive solution adoption.
The role serves as the primary business owner of the Ironclad CLM platform, managing day-to-day administration, configuration, and continuous improvement. Responsibilities include maintaining an auditable contract repository and developing AI-enabled playbooks in collaboration with Legal and Commercial teams.
Architect and implement scalable backend systems and provider-agnostic AI pipelines in a multi-cloud environment. Focus on optimizing API performance, implementing anti-crawler security, and enhancing search infrastructure using vector databases.
![Smart Working Solutions is hiring for remote Senior NodeJS Developer (Remote, Full-Time) [HR176]](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
Senior NodeJS Developer (Remote, Full-Time) [HR176]
Smart Working Solutions
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Full Time
·
2 Weeks Ago
Smart Working Solutions
Develop and maintain scalable, real-time SaaS applications using NodeJS and TypeScript. Collaborate with cross-functional teams to drive architectural decisions and implement engineering best practices across the software development lifecycle.
Design, build, and scale enterprise-grade AI solutions and agents to solve business problems. Focus on productionizing LLM-based applications and integrating them with GCP and Databricks platforms.
The role involves managing and maintaining cloud-based customer environments to ensure uptime, performance, and security. Responsibilities include onboarding new customers, performing software upgrades, and collaborating with development teams for continuous deployments.
Partner with the sales organization to drive the execution of prospective and expansive deals through technical value propositions. Build relationships with stakeholders and mentor less experienced team members to reduce churn and solve customer challenges.
Ensure the performance, reliability, and security of mission-critical trading infrastructure across CeFi and DeFi venues. This includes managing infrastructure-as-code, optimizing low-level system performance, and participating in a rotational on-call schedule.
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Design, build, and optimize a real-time endpoint agent across Windows, Mac, and Linux environments. Develop high-performance modules for backup, disaster recovery, and continuous data protection.
Lead Knowledge Graph and GraphRAG initiatives to build graph-powered chatbots and recommendation engines. Develop solutions for entity resolution and document intelligence using LLMs and Neo4j.
Internal AI Product Engineer (f/m/x) - remote 19 APPLICANTS
refurbed
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Full Time
·
2 Weeks Ago
refurbed
Lead the design and delivery of AI-powered internal tools and backend services to transform the company into an AI-native organization. Partner with leadership to define the AI product roadmap and drive cross-functional adoption of automation tools.
Head of Internal Technology & AI (f/m/x) - remote 56 APPLICANTS
refurbed
·
Full Time
·
2 Weeks Ago
refurbed
Lead the company's AI and technology transformation by defining the strategy, roadmap, and governance for AI adoption. Manage the internal technology backbone, including corporate IT operations and the development of internal AI tooling and automations.
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