TL;DR
Software Engineer, UX (AI): Designing, developing, and refining experimental and stable front-end solutions, focusing on innovative user experiences for early-stage AI research, with an accent on prompt engineering to build cutting-edge, AI-driven workflows and tools. Focus on challenging briefs, setting a vision for user-centered AI development, and pushing the boundaries of user interaction at the forefront of AI innovation.
Location: Onsite in London, UK
Company
hirify.global is a team of scientists, engineers, and ML experts advancing state-of-the-art artificial intelligence for public benefit and scientific discovery.
What you will do
- Implement versatile front-end solutions to tackle tough problems and answer big questions in AI research.
- Engage in prompt engineering to create innovative AI-driven user experiences and design dynamic workflows.
- Design, develop, test, and iterate on stable but experimental front-end code for new user-facing features.
- Take ownership of the front-end implementation, including bug fixes and performance enhancements.
- Partner effectively with designers, researchers, and engineers across different teams to ensure successful project delivery.
Requirements
- Significant professional software development experience in Javascript and 2 or more other programming languages (e.g., Java, C/C++, Python, Go).
- Extensive experience with front-end technologies and modern web application development using libraries/frameworks (e.g., Angular, Svelte, React).
- Experience building prototypes for AI/ML systems, AI-native development tool-chains, and workflows.
- Understanding of the latest AI technologies and a strong perspective on building usable and innovative UIs, with the ability to deliver comprehensive prototypes.
- Bachelor's degree or equivalent practical experience.
Nice to have
- Highly proficient in web technologies such as JS/ES6, HTML5, CSS, REST, mobile web, and mobile applications.
- Strong sense of UI design and attuned to the fundamentals of user experience, including accessibility.
- Demonstrable experience with Google Cloud or similar cloud platforms.
- Ability to work effectively across different time zones and communicate clearly with a distributed team.
- Proven track record of independently driving the implementation of complex features from high-level direction.
Culture & Benefits
- Work across disciplines, answering difficult user questions, prototyping, and sharing new UX practices.
- Opportunity to tackle a wide range of ambiguous challenges in nebulous areas of AI research.
- Encouragement to challenge briefs, embrace new technologies, and set a vision for user-centered AI development.
- Commitment to diversity of experience, knowledge, backgrounds, and perspectives.
- Equal employment opportunity regardless of sex, race, religion, belief, or other protected bases, with accommodations for disabilities.
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