Software Engineer Specialist - AI and Consumer Products

What you'll do:

• Take full ownership of the GoConsumer full-stack codebase (React native/AWS/Amazon Bedrock).
• Establish engineering standards, testing frameworks, monitoring, and CI/CD pipelines. 
• Build a technical roadmap that aligns with product vision, compliance needs, and long-term scalability. 
• Own the integration of LLMs, fine-tuned models, vector databases, and personalisation engines. 
• Partner with ML engineers to implement retrieval pipelines, guardrails, and model-serving workflows. 
• Build evaluation (eval) pipelines for accuracy, safety, tone, hallucinations, and reasoning tests, enabling product managers to prioritise, iterate, and ship the right behaviour changes with clarity and confidence
• Ensure fast, reliable, cost-efficient model usage (token optimisation, caching, prompt engineering). 
• Implement safe execution layers for financial guidance — protecting consumers from data leakage and errors or unsafe outputs.
• Implement engagement systems such as streak engines, reward logic, missions, progress computation, and personalised challenge algorithms.
• Ensure all motivational systems are stateful, auditable, fair, and tamper-proof, especially for regulated industries.
• Build scalable rule engines that support rapid iteration by PMs and Designers.
• Architect and build reliable backend services, APIs, data pipelines, and integrations (open banking, payments, cards, lending, notifications). 
• Work with the Staff Designer to deliver high-fidelity, performant mobile experiences. 
• Maintain strict security and compliance standards for PII, financial data, and bank connections. 
• Lead QA automation, error handling, monitoring, and rapid iteration systems. 
• Implement feature flags, A/B testing, and real-time analytics instrumentation.
• Translate complex technical concepts into clear language for product and executive teams. 
• Mentor future engineers as the team grows and help hire the right engineering talent. 
• Establish engineering rituals: sprint reviews, tech debt management, reliability reviews, and roadmap planning. 
• Own operational excellence and ensure the product remains fast, safe, stable, and delightful.
• Enable the more technical product managers to build and deploy to the code base in a safe compliant manner e.g. small features/front-end fixes.

Who you are

• 8+ years of engineering experience, with strong mobile/web/backend foundations and at least some exposure to fintech, data-rich, or consumer apps. 
• 2+ years experience integrating LLMs or ML-driven systems into production (fine-tuning, RAG, evals, guardrails, observability). 
• Strong understanding of AI evals, including automated test suites, acceptance criteria, and safety/quality scoring. 
• Skilled in systems architecture, API design, database schema design, and secure data handling. 
• Experience building or scaling gamified products, behavioural systems, or loyalty engines is a plus. 
• Comfortable taking ownership of an early-stage codebase and turning it into a high-quality, scalable platform. 
• Not afraid to get hands-on: you write code, debug issues, ship features, and dive into infra when needed. 
• Excellent communicator with the ability to work in a fast-moving, ambiguous, highly collaborative environment. 
• Passionate about building technology that makes real improvements to people’s financial wellbeing.