
Applied AI Engineer (UK)
Quiq
Full time
Software Development
United States
Hiring from: United States
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Company Description
Quiq is a fully-remote company headquartered in Bozeman, MT, with employees across the United States and Europe. Founded in 2015 by Mike Myer and Bill O’Neill, Quiq was created to make it easier for consumers to communicate with the brands they love via voice, email, or one of the dozens of digital channels Quiq supports, including WhatsApp and Apple Messages for Business. The Quiq team has deep roots in CX, hailing from companies like Kore.ai, Amelia, Zendesk, LivePerson, Oracle, and RightNow Technologies, and has been at the forefront of AI innovation from Conversational AI to Generative and now Agentic AI.
Your Role as an Applied AI Engineer
At Quiq, we aim to provide exceptional conversations, whether through humans or AI Assistants. Our Applied AI Engineering team focuses on automating conversations to deliver outstanding customer experiences using advanced language models. Our customers include some of the world's largest enterprises, and we're dedicated to helping them solve their toughest challenges.
As an Applied AI Engineer at Quiq, you'll work with customers to design, build, and deploy AI Assistants using our AI Studio toolkit. You'll use the latest tools and methods to automate and enhance customer interactions. Each day as an Applied AI Engineer brings new challenges. You'll blend theory with practical application, addressing critical business issues with cutting-edge technologies and innovative problem-solving.
Responsibilities
- 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.
- 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.
- Market competitive total compensation package
- 100% company paid family medical and 100% individual dental and vision insurance coverage
- Flexible, unlimited vacation policy
- Stock options
- Strong company culture
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