AI Jobs
Find the latest job opportunities in AI and tech
Find the latest job opportunities in AI and tech
Find the latest job opportunities in AI and tech
Quality Systems Analyst
AI-powered cardiology platform for detection and precision medicine, offering solutions for MedTech, Life Sciences, and preventative screening programs.
Benefits:
Hybrid work
Team events
Personal and professional growth
Private medical insurance
Learning budget
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Head of Customer Success & Partnerships (Temporary)
AI-powered cardiology platform for detection and precision medicine, offering solutions for MedTech, Life Sciences, and preventative screening programs.
Benefits:
Remote work
Team events
Personal and professional growth
Private medical insurance
Learning budget
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VP of Engineering
AI-powered cardiology platform for detection and precision medicine, offering solutions for MedTech, Life Sciences, and preventative screening programs.
Benefits:
Remote work
Team events
Personal and professional growth
Private medical insurance
Learning budget
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Senior DataOps Engineer
AI-powered cardiology platform for detection and precision medicine, offering solutions for MedTech, Life Sciences, and preventative screening programs.
Benefits:
Remote work
Team events
Personal and professional growth
Private medical insurance
Learning budget
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Head of Clinical Operations
AI-powered cardiology platform for detection and precision medicine, offering solutions for MedTech, Life Sciences, and preventative screening programs.
Benefits:
Hybrid work
Team events
Personal and professional growth
Private medical insurance
Learning budget
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DevOps & Platform Engineer
AI-powered cardiology platform for detection and precision medicine, offering solutions for MedTech, Life Sciences, and preventative screening programs.
Benefits:
Remote work
Team events
Personal and professional growth
Private medical insurance
Learning budget
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Backend Engineer (Java)
AI-powered entity resolution tool for unifying data across systems, offering features like Zingg ID and incremental updates. Integrates with major cloud platforms.
Education Requirements:
Preferred degree in Computer Science and/or Maths
Experience Requirements:
0-3 years of professional software development experience as a Back-end Java Engineer
Practical experience writing reasonably complex software in Java 8+/Scala
Demonstrated experience in solving complex product development problems
Other Requirements:
Passionate about performance, scalability, and extensibility
Willing to go the extra mile to build memorable experiences for customers
Strong foundation and previous development experience in data structures, software design, and distributed, and cloud architecture
Experience with Agile development, continuous integration, and DevOps culture
Open source experience
Working with Linux for code development
Skills: Docker
Exposure to Apache Spark and Snowframe APIs
Flair for design patterns, modular architecture, and software engineering best practices
Strong analytical and problem-solving skills
Ability to work independently and within a fast-paced team environment
Strong work ethic supported by solid time-management skills
Professional and team-oriented with strong communication skills
Fast and enthusiastic learner
Responsibilities:
Driving new features for Zingg open source and enterprise products
Build using Java-based Object Oriented Analysis and Design, Apache Spark, Snowpark, ML, LLMs, and other techniques
Design classes/modules and write clean, maintainable, robust, and scalable code that others can work on as well as be able to rapidly prototype and adjust in response to customer feedback
Troubleshoot, debug, and fix Zingg issues
Address user questions and feedback
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Backend Engineer - AI
Level AI uses generative AI to improve customer experience and contact center operations. It offers automated QA, real-time agent assistance, and actionable customer insights.
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FullStack Engineer - AI
Level AI uses generative AI to improve customer experience and contact center operations. It offers automated QA, real-time agent assistance, and actionable customer insights.
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Senior FullStack Engineer - AI
Level AI uses generative AI to improve customer experience and contact center operations. It offers automated QA, real-time agent assistance, and actionable customer insights.
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Software Engineer (ML Team)
Level AI uses generative AI to improve customer experience and contact center operations. It offers automated QA, real-time agent assistance, and actionable customer insights.
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Tech Support Engineer
Level AI uses generative AI to improve customer experience and contact center operations. It offers automated QA, real-time agent assistance, and actionable customer insights.
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Backend Engineer (0-1 Years) - Customer Engineering
Level AI uses generative AI to improve customer experience and contact center operations. It offers automated QA, real-time agent assistance, and actionable customer insights.
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Backend Engineer (Freshers 2023&2024 Batch)
Level AI uses generative AI to improve customer experience and contact center operations. It offers automated QA, real-time agent assistance, and actionable customer insights.
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Principal Engineer - CE
Level AI uses generative AI to improve customer experience and contact center operations. It offers automated QA, real-time agent assistance, and actionable customer insights.
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Principal Engineer - Data Platform
Level AI uses generative AI to improve customer experience and contact center operations. It offers automated QA, real-time agent assistance, and actionable customer insights.
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Senior Backend Engineer
Level AI uses generative AI to improve customer experience and contact center operations. It offers automated QA, real-time agent assistance, and actionable customer insights.
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Senior Backend Engineer - Screen Recording
Level AI uses generative AI to improve customer experience and contact center operations. It offers automated QA, real-time agent assistance, and actionable customer insights.
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Senior Backend Engineer - CX
Level AI uses generative AI to improve customer experience and contact center operations. It offers automated QA, real-time agent assistance, and actionable customer insights.
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Senior Frontend Engineer
Level AI uses generative AI to improve customer experience and contact center operations. It offers automated QA, real-time agent assistance, and actionable customer insights.
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