Product Engineer

About Allica Bank

Allica is the UK’s fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech.

Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers.

Department Description

Growth is a critical function at Allica, sitting at the intersection of marketing, product, sales, and data. Our team is responsible for driving sustainable and scalable customer acquisition, engagement, and retention—ensuring our banking solutions reach and resonate with the right SMEs at the right time. Growth is both a science and an art. We blend commercial strategy with deep customer understanding, leveraging data to uncover new opportunities while ensuring every touchpoint aligns with Allica’s mission to empower established SMEs with the banking they deserve.

Role Description

The Product Engineer will be a founding member of our AI capability within the Growth Squad, responsible for applying advanced large language models (LLMs) to solve complex customer and operational challenges. This role will create significant value for Allica by building agentic AI systems that either eliminate manual effort or transform the customer experience — through intelligent automation, smarter interfaces, and proactive service.

Working closely with growth, data, product, and operations teams, this role will scope, design, and deploy real-world AI use cases across marketing, onboarding, and customer lifecycle journeys (including initiatives in advertising platforms and our CRM, HubSpot). You will bring deep expertise in LLMs, prompt engineering, agent frameworks, and systems thinking to build scalable, explainable, and impactful solutions.

This is a high-impact technical role with clear business outcomes. You’ll own the end-to-end delivery of AI solutions — from idea to production deployment and monitoring — and play a pivotal role in shaping how we scale Allica using AI. You will continuously fine-tune and optimize models for performance, manage their versioning, and establish robust evaluation and monitoring processes to ensure each solution remains reliable, efficient, and safe in production.

Principal Accountabilities

• LLM Application Development: Design and build agentic LLM systems that automate manual processes or transform customer interactions across key stages of the growth funnel.

• AI Solution Delivery: Lead the end-to-end development of AI tools and agents using frameworks like LangChain or Semantic Kernel, ensuring scalable and maintainable deployment, including fine-tuning models and optimizing performance to meet latency and cost constraints

• Model Deployment & Monitoring: Ensure robust deployment of AI models to production, including proper versioning and continuous monitoring, leveraging tools like MLflow, FastAPI, and Kubernetes (or other cloud-native services) to maintain high reliability and performance

• Workflow Automation & Experience Design: Identify high-impact use cases with operations, product, and lifecycle teams, creating AI-driven solutions that improve efficiency or elevate customer experience.

• Experimentation & Iteration: Rapidly prototype AI applications, run experiments to test impact, and iterate based on usage data and feedback.

• Cross-Functional Collaboration: Partner with growth, marketing, engineering, and data teams to prioritize AI initiatives, align on business goals, and integrate solutions into operational systems.

• AI Safety & Explainability: Apply best practices in responsible AI deployment, ensuring explainability, compliance, and ethical use of LLMs in production environments.

• Evaluation & Optimization: Design and implement rigorous evaluation frameworks (including custom pipelines) to test model performance, quality, an