Senior Product Engineer, AI

Senior Product Engineer, AI at Fin. About the role Fin is on the lookout for experienced Senior Product Engineers to join its AI Group, focusing on the development of essential systems that drive the company's AI Customer Agent.

Key facts

• Location: Dublin, Ireland or London, England
• Engagement: Full-time, hybrid (minimum three days per week in office)
• Team: AI Group

What you'll do

• Design and implement the underlying systems that power Fin's key AI offerings, primarily utilizing the ML Python stack, while also contributing to the Rails application when necessary.
• Collaborate with Machine Learning Scientists to evolve proof-of-concept code into robust, scalable solutions ready for production.
• Work alongside product teams throughout the organization to define and enhance AI-driven features and improve customer experiences.
• Engage in all phases of the software development lifecycle, from initial brainstorming and prototyping to implementation and rigorous testing.
• Contribute to recruitment initiatives and provide mentorship to fellow engineers, supporting their professional development.
• Elevate technical standards regarding performance, reliability, and operational excellence both within the AI Group and across the company.
• Participate in code reviews and contribute to a culture of continuous improvement and knowledge sharing.
• Analyze user feedback and system performance metrics to inform future iterations and enhancements of AI products.

Requirements

• A minimum of 5 years of experience in delivering high-quality software products.
• While prior machine learning experience is not mandatory, a solid foundation in software engineering principles is essential, with opportunities to learn about ML on the job.
• Proven track record of making significant contributions in previous roles.
• Proficiency in at least one high-level programming language, such as Ruby, Python, or JavaScript.
• Strong technical background with a commitment to ongoing professional development and learning.
• A preference for making progress rather than striving for perfection in all aspects of work.
• An eagerness to advocate for effective outcomes and solutions.
• A Bachelor's degree in Computer Science, Mathematics, Statistics, or a related discipline is preferred.

Nice to have

• Experience in data analytics or a statistical role would be advantageous.
• Familiarity with cloud platforms or services related to machine learning deployment.
• Previous involvement in agile development methodologies.

Skills & tools

• Proficient in Python, particularly within the machine learning stack.
• Experience with Ruby on Rails for web application development.
• Knowledge of machine learning systems, including supervised models, unsupervised clustering, and transformer neural networks.

Practical notes

• Attractive salary package complemented by equity options in a rapidly growing company.
• Regular reviews of compensation to ensure competitiveness.
• Pension plan with employer matching contributions of up to 4%.
• Comprehensive health and dental coverage for you and your dependents.
• Life insurance benefits included.
• Flexible paid time off policy to support work-life balance.
• Paid maternity leave and 6 weeks of paid paternity leave for new parents.
• Daily lunches provided, along with snacks and a fully stocked kitchen to keep you energized.
• Cycle-to-Work Scheme available, featuring secure bike storage facilities.
• Standard provision of a MacBook, with Windows laptops available for specific roles.