Quiq Inc

Quiq Inc is a technology-focused company currently offering a job opening for a Software Engineer Intern.

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📍 United States

🔍 Software Development

  • 3+ years in application development of technical products.
  • Ideally, at least 1 year developing conversational experiences.
  • Design conversational UX for complex business use cases.
  • Prepare, index and search reference data for use in AI pipelines.
  • Apply zero and few-shot, classification and fact checking techniques.
  • Manage prompt pipelines, APIs, vector search, business rules and related state.
  • Instrument experiences for testing, reporting and optimization.
  • Apply simple Python functions and interact with simple APIs.
  • Build AI Assistants
  • Engage with Customers
  • Develop and Improve
  • Advise and Shape

PythonData MiningMachine LearningNumpyAlgorithmsAPI testingData scienceData StructuresREST APIPandasTensorflowData visualizationData modelingData analytics

Posted 7 days ago
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🔥 Head of Product Marketing
Posted about 1 month ago

🔍 CX

  • A strong background in product marketing, with experience working in the CX space, and enterprise marketing.
  • Proven success driving sales enablement programs for enterprise teams.
  • The ability to think strategically, and develop comprehensive industry informed go-to market plans.
  • Excellent written and verbal communication skills, with a track record of writing compelling content for executive and enterprise audiences.
  • Strong technical literacy with the ability to simplify complex concepts.
  • The ability to think creatively about new and stand-out ways to engage current customers to both upsell/cross sell and drive adoption.
  • Collaborate with the product, marketing, and sales team as the expert in translating our product solutions into compelling stories.
  • Create compelling, differentiated messaging and positioning, with a clear understanding of customer use cases/persona and the core capabilities of our platform.
  • Closely partner with product management to ensure we are delivering on end-to-end scenarios that meet customer needs and to execute well-received product/feature launches.
  • Keep up with the ever changing environment of AI for CX through industry news and events, analyst reports, and social conversations to educate key internal constituents and drive awareness/demand.
  • Deliver key messages and feedback to enable our SDR and marketing marketing teams to execute relevant digital and event-based campaigns and programs.
  • Develop strategy and training to support the full sales cycle, including product demos, sales training, technical content, competitive intelligence.
Posted about 1 month ago
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📍 United States

🔍 Software Development

  • Experience with dynamic languages such as Python, Node.js, Ruby or others
  • Solid foundation in Computer Science (BS/MS) or significant industry experience
  • Understanding and experience with REST, HTTP, and contract-based APIs
  • Database experience, with both NoSQL and relational databases
  • Minimum 2 years of experience as a software developer
  • Creating custom integrations and enhancements on our communications platform
  • Working with conversational AI designers building smart assistants
  • Integrating customer solutions into Quiq's web-based UI
  • Developing backend and frontend solutions to tailor our product to customer needs
  • Building AI-enabled solutions and integrations with customer systems

Backend DevelopmentNode.jsPythonSoftware DevelopmentSQLAgileArtificial IntelligenceFrontend DevelopmentGitMachine LearningRubyAPI testingREST APIServerlessNosqlCommunication SkillsCI/CDProblem SolvingRESTful APIsJSON

Posted about 2 months ago
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📍 United States, Europe

🔍 Customer experience and AI

  • Experience: 3+ years in application development of technical products. Ideally, at least 1 year developing conversational experiences.
  • Education: Degree in Computer Science, related field, or equivalent experience.
  • Process Design: Design conversational UX for complex business use cases.
  • Vector Databases: Prepare, index, and search reference data for use in AI pipelines.
  • Prompt Engineering: Apply zero and few-shot, classification and fact-checking techniques.
  • AI Orchestration: Manage prompt pipelines, APIs, vector search, business rules, and related state.
  • AI Observability: Instrument experiences for testing, reporting, and optimization.
  • Coding: Apply simple Python functions and interact with simple APIs.
  • Build AI Assistants: Partner with customers to create reliable AI solutions.
  • Engage with Customers: Understand their needs and define technical requirements.
  • Develop and Improve: Continuously enhance AI Assistants to meet and anticipate customer needs.
  • Advise and Shape: Guide customers' AI strategies and contribute to the product roadmap.

PythonArtificial IntelligenceMachine Learning

Posted 4 months ago
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