Jobgether

Product Engineer

Jobgether

Remote · Full Time

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Experience
Any
Salary
Openings
1
Posted
3 часа назад
Work mode
Work from home
Resume
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Job description

Overview

This opportunity is offered via a partner organization seeking a Product Engineer based in Ireland. The role focuses on developing innovative products combining artificial intelligence, biotechnology, and decentralized science sectors.

The successful candidate will turn emerging AI technologies into user-friendly, practical applications that enable complex biological and health data exploration. The position merges engineering execution with product management and quick experimental development to realize concepts into deployed minimum viable products (MVPs).

Collaborating closely with a technically skilled team advancing AI research, you will own the creation of user-facing components that highlight these systems.

This role suits adaptable full-stack engineers enthusiastic about navigating ambiguous challenges and delivering valuable solutions swiftly. It offers considerable autonomy, influence over product strategies, and a chance to contribute to technologies advancing personalized health and scientific innovation.

Key Responsibilities

  • Design, construct, and launch user-focused MVPs rapidly employing iterative validation to assess ideas and user benefits.
  • Create applications and product features that make AI-based tools accessible and practical for end-users.
  • Build integrations and connectors to interface with external data sources such as health platforms, electronic health records, and biological databases.
  • Convert intricate, uncertain AI results into clear, concise, and actionable user interfaces.
  • Prototype new product ideas, validate hypotheses with users, and iteratively refine solutions based on feedback.
  • Own application development, allowing core AI research teams to concentrate on system capabilities.
  • Manage the full product lifecycle, from initial concept and architecture decisions through to deployment and ongoing enhancements.
  • Address technical uncertainties by devising functional solutions amid evolving technologies and incomplete specifications.
  • Collaborate effectively with both technical and product teams to recognize opportunities and deliver impactful user experiences.

Candidate Requirements

  • Demonstrated track record of building and launching products actively used by customers or end users.
  • Expertise in full-stack engineering, especially strong frontend development and focus on user experience.
  • Proficiency in rapid prototyping, iterative development, and delivering production-quality applications.
  • Experience handling complex, inconsistent, or insufficiently documented APIs and external data integrations.
  • Strong product intuition with an emphasis on addressing user needs beyond solely technical challenges.
  • Adaptability to ambiguous work environments with shifting priorities and rapid iteration cycles.
  • Ability to simplify technical concepts into clear, user-intuitive interfaces.
  • Experience with interfaces related to AI or machine learning systems is advantageous.
  • Familiarity with healthcare APIs, health data platforms, fitness trackers, or personal analytics is a plus.
  • Interest in biology, health technology, artificial intelligence, or emerging scientific applications is desirable.
  • Background or skills in design, particularly strong UI/UX capabilities, add value.

Benefits

  • Fully remote working arrangement with the flexibility to operate from any location.
  • High degree of autonomy and ownership over products from initial concept through launch.
  • Exposure to work at the intersection of AI, biotechnology, and decentralized science.
  • Competitive compensation including potential token or equity participation.
  • Opportunity to develop innovative applications impacting scientific research and personal health.
  • A collaborative culture emphasizing experimentation, learning, and swift execution.
  • Access to cutting-edge AI technologies and evolving data ecosystems.

Work styles they’re looking for

Adaptability Problem Solving Collaboration Autonomy product focus

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