Product Engineer

Stack

Responsibilities

• ▹Design and build agentic LLM systems that automate manual processes or transform customer interactions across key stages of the growth funnel
• ▹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
• ▹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
• ▹Identify high-impact use cases with operations, product, and lifecycle teams, creating AI-driven solutions that improve efficiency or elevate customer experience
• ▹Rapidly prototype AI applications, run experiments to test impact, and iterate based on usage data and feedback
• ▹Partner with growth, marketing, engineering, and data teams to prioritize AI initiatives, align on business goals, and integrate solutions into operational systems
• ▹Apply best practices in responsible AI deployment, ensuring explainability, compliance, and ethical use of LLMs in production environments
• ▹Design and implement rigorous evaluation frameworks (including custom pipelines) to test model performance, quality, and safety; compare vendor-provided models vs. open-source alternatives for overall quality, bias, and compliance
• ▹Drive innovation through continuous learning and experimentation, ensuring AI solutions align with Allica's long-term growth strategy and customer-centric values

Requirements

• ▹3+ years' professional software engineering experience in one or more programming languages (preferably Python and Kotlin)
• ▹Proven experience building and deploying LLM-powered tools or agents (e.g., using OpenAI, Claude, or open-source models)
• ▹Hands-on expertise in Python, LLM frameworks (LangChain, Semantic Kernel, etc.), prompt engineering, and orchestration
• ▹Knowledge of model deployment, versioning, and monitoring in production (e.g., using MLflow, FastAPI, Kubernetes, or similar cloud-native tools)
• ▹Experience integrating AI solutions into real-world systems (e.g., CRM platforms like HubSpot, advertising platforms, ticketing systems, or internal tools)
• ▹Experience fine-tuning and optimizing LLMs, including building efficient embeddings or vector memory stores, while managing latency and cost constraints
• ▹Understanding of privacy, bias, and safety considerations when applying LLMs in production
• ▹Strong understanding of vector databases, RAG (retrieval augmented generation), and agent workflows
• ▹Experience evaluating AI models for quality and fairness, including comparing vendor models vs. open-source alternatives and building custom evaluation pipelines
• ▹Comfortable with full-stack development (e.g., building web interfaces or APIs) to integrate AI solutions end-to-end

Nice to have

• ▹Exposure to business domains like growth, marketing automation, or customer service

Soft skills

What we offer

• ▹Full onboarding support and continued development opportunities
• ▹Options for flexible working
• ▹Regular social activities
• ▹Pension contributions
• ▹Discretionary bonus scheme
• ▹Private health cover
• ▹Life assurance
• ▹Family friendly policies including enhanced Maternity & Paternity leave

About the company

Allica Bank is the UK's fastest growing company and the fastest-growing financial technology (Fintech) firm ever. Its 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 the economy, yet have been largely neglected by both traditional high street banks and modern fintech providers. Growth is a critical function at Allica, sitting at the intersection of marketing, product, sales, and data. The team is responsible for driving sustainable and scalable customer acquisition, engagement, and retention — ensuring banking solutions reach and resonate with the right SMEs at the right time. Growth is both a science and an art, blending commercial strategy with deep customer understanding and data-driven insight.