TL;DR
Senior Staff Engineer (AI): Building and optimizing AI-driven customer operations for a banking platform with an accent on automation-first solutions, proactive issue prevention, and scalable systems. Focus on designing robust architectures, leveraging LLMs and traditional ML for multifaceted optimization problems, and strengthening core infrastructure for consistent customer experiences.
Location: Remote within the UK or onsite in London or Cardiff. Relocation support to the UK is provided, and visa sponsorship is available.
Salary: £135,000 - £184,000 + Share Options
Company
hirify.global is a UK-based digital bank on a mission to make money work for everyone, offering personal, business, joint, and kids' bank accounts, credit cards, savings, investments, and pensions.
What you will do
- Provide technical leadership for automation-first customer problem detection and resolution, influencing company-wide initiatives.
- Be hands-on with code and infrastructure, solving deep technical challenges using software engineering and system building expertise.
- Build and strengthen infrastructure and tooling for consistent customer experiences at scale, understanding customer journeys deeply.
- Collaborate with product, data, and operational leaders to achieve organizational goals.
- Work on multi-faceted optimization problems at scale, leveraging technologies like LLMs and traditional machine learning.
- Lead architectural discussions for complex systems, fostering a culture of technical excellence and quality.
- Mentor, sponsor, and up-level engineers within the collective.
Requirements
- Significant professional experience in software engineering, demonstrated by writing, testing, and deploying robust backend services using strongly typed languages.
- Experience in solving human + tech problems at scale with AI / Co-pilot.
- A customer focus with a platform mindset, enabling scalable solutions across the company.
- Deep curiosity about systems, enjoying investigation of complex issues in modern distributed applications.
- Comfortable working in a fast-paced team that deals with ambiguity and evolving requirements.
- Quantitative mindset, caring about outcomes and making data-informed decisions.
Nice to have
- Track record of technical excellence, delivering resilient systems, ideally behind consumer products.
- Experience technically leading large teams to solve complex product challenges and manage trade-offs.
- Experience working on Backend Systems, Data-intensive systems, or real-world ML deployments.
- Desire to build and protect a product used by over 14 million people.
Culture & Benefits
- Flexible working hours, trusting employees to work effectively.
- £1,000 annual learning budget for books, training, and conferences.
- Macbooks provided; extra support for work-from-home setup for fully remote workers.
- Opportunity to relocate to the UK with visa sponsorship.
- Diverse and inclusive environment, with support for all people to grow.
Hiring process
- 4 key steps after an informal recruiter call: Initial Call, System Design Interview, Take home task or pair coding exercise, and Final interview (behavioral and leadership).
- Process takes around 3-4 weeks.
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