The specialist will analyze post-launch conversation data to optimize AI voice and chat solutions for better intent recognition and user experience. They will collaborate with cross-functional teams to deploy updates and monitor key performance metrics for 18-20 customers.
Remote Software Development Jobs (49,571)
Job category = Software Development
Provide technical product expertise to potential customers to enhance their security posture and provide first impressions of the platform. Collaborate with Sales, Marketing, and Engineering teams to voice customer needs and identify product improvements.
Identify vulnerabilities and provide expert remediation consulting for global product development teams. Leverage AI and security automation to ensure the delivery of secure and resilient products.
![pan pan GmbH is hiring for remote Sales Manager / Business Developer [human]](/assets/b857a85d-2412-4fce-a2fc-1164cfa4bb0d.png){kind=small}
The role focuses on converting the founder's LinkedIn reach into a qualified pipeline through strategic outreach and demand generation. Responsibilities include conducting discovery calls, qualifying leads, and ensuring a seamless hand-off to Account Managers.
Design and build scalable, secure software solutions according to architectural standards and requirements. Collaborate with product managers to implement roadmap features and drive technological decisions across R&D groups.
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Develop core features for an AI-powered travel platform while defining architectural best practices. Provide technical guidance, mentorship, and code reviews for junior engineers within a fast-moving domain team.
Develop the architecture and directory structure for Vue 3 applications and create a reusable library of generic SFC components. Build a new CRM application featuring scheduling tools, Kanban tasks, and client management.
Design, develop, and deploy chatbots and voice bots using Google Cloud Platform and Dialogflow CX, specifically integrating LLM playbook features. The role involves collaborating with stakeholders to integrate bot systems with backend APIs and databases while ensuring code maintainability.
Design, develop, and deploy chatbots and voice bots using Google Cloud Platform and Dialogflow CX, specifically integrating LLM playbook features. The role involves collaborating with stakeholders to integrate bot systems with backend APIs and databases while ensuring clean, maintainable code.
Design, develop, and deploy chatbots and voice bots using Google Cloud Platform and Dialogflow CX, specifically integrating LLM playbook features. The role involves collaborating with stakeholders to integrate bot systems with backend APIs and databases while ensuring clean, maintainable code.
Lead the design, development, and optimization of scalable, cloud-native backend services using Node.js. Oversee architecture decisions, mentor a high-performing engineering team, and ensure alignment between technical delivery and business strategy.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate multiple data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while maintaining and evolving SQL Server-based data warehouse environments.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while maintaining and evolving SQL Server-based data warehouse environments.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while maintaining and evolving SQL Server-based data warehouse environments.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while maintaining and evolving SQL Server-based data warehouse environments.
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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 and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while maintaining and evolving SQL Server-based data warehouse environments.
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.
KI-Developer - Vollzeit (m/w/d)
Everlast Consulting GmbH
·
Full Time
·
3 Weeks Ago
Everlast Consulting GmbH
Implement innovative AI solutions and intelligent assistants to revolutionize internal and client business processes. Develop and optimize smart automation systems to increase efficiency and support business development initiatives.
Finance Data & Migration Support (ERP – Business Central)
Callista Group AG
·
Full Time
·
3 Weeks Ago
Callista Group AG
The role focuses on the technical execution of financial data migration, cleansing, and validation for Microsoft Dynamics 365 Business Central implementations. It involves supporting finance teams during reconciliation cycles and documenting data preparation steps to ensure system scalability.
Design, develop, and maintain scalable backend services and RESTful APIs using Python frameworks. Implement data pipelines, optimize database interactions, and manage cloud deployments within the Azure ecosystem.
The role involves working directly with customers to onboard, integrate, and optimize AI solutions while building new features and MVPs. You will collaborate cross-functionally to design and iterate on AI/ML applications and manage third-party API integrations.
Lead the development of internal developer platforms, CI/CD workflows, and scalable infrastructure to improve engineering velocity. Architect and deliver end-to-end systems and tooling that enable teams to build, deploy, and operate software more efficiently.
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Technology Field Application Engineer – FPGA
Arrow Electronics
·
Full Time
·
3 Weeks Ago
Arrow Electronics
Guide customers' R&D in Sweden to implement innovative ideas using FPGA technologies and components. Responsible for growing FPGA market share through technical expertise, training courses, and strategic technical direction.
Lead the design and development of innovative ServiceNow solutions to support internal staff and external customers. Manage and mentor a technical team while ensuring platform alignment with business strategy and enterprise architecture.
Lead Software Engineer, Survey and CAD Applications (C++, 3D)
Topcon Positioning Systems
·
Full Time
·
3 Weeks Ago
Topcon Positioning Systems
Lead the development of field software for Windows, Linux, Android, and iOS to support GNSS and optical survey equipment. Manage delivery schedules, high-level design, and technical direction for Geomatics and CAD functionality.
Lead the development and evaluation of advanced search and generative AI systems, specifically focusing on RAG pipelines and retrieval strategies. Drive methodological rigor in evaluation frameworks for IR and GenAI to improve relevance and user outcomes.
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