Staff Product Engineer, AI
Build and ship AI-powered customer products by turning ML prototypes into robust, scalable production systems. The role requires staff-level software engineering expertise, 10+ years of product experience, strong programming fundamentals, and collaboration with scientists and product teams.
About the job
Responsibilities
- Build the systems that power Fin’s flagship AI products, primarily in a machine-learning Python technology stack and occasionally across the Rails application.
- Work alongside ML Scientists to bring proof-of-concept code into robust, scalable production systems.
- Partner with product teams to shape AI-powered product experiences.
- Contribute to ideation, prototyping, implementation, and testing across the software development lifecycle.
- Participate in hiring, mentoring, and career development for other engineers.
- Raise technical standards for performance, reliability, and operational excellence.
Requirements
- 10+ years of experience shipping high-quality products.
- Strong software engineering skills; prior ML experience is not required.
- Demonstrated significant impact in previous work.
- Strong technical fundamentals, willingness to learn, and commitment to professional development.
- Deep knowledge of a high-level programming language such as Ruby, Python, or JavaScript.
- Strong willingness to pursue good outcomes and a bias toward progress over perfection.
- BSc in Computer Science, Mathematics, Statistics, or a related discipline.
Nice-to-haves
- Previous experience in data analytics or statistics.
Compensation and Benefits
- Competitive salary and equity in a fast-growing startup.
- Lunch provided on weekdays, snacks, and a fully stocked kitchen.
- Regular compensation reviews.
- Pension scheme with contributions matched up to 4%.
- Life assurance and comprehensive health and dental insurance for employees and dependents.
- Flexible paid time off.
- Paid maternity leave and six weeks of paternity leave.
- Cycle-to-Work Scheme and secure bike storage.
- MacBook or other suitable equipment.
- Relocation support.
- Hybrid working policy requiring at least three days per week in the office.
Skills
Python, Ruby, JavaScript, Ruby on Rails, Machine Learning, Transformer Neural Networks, Data Analytics, Statistical Modeling, Software Testing, Scalable Systems
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