Senior Artificial Intelligence Engineer

Requirements

• Application Development: Proven expertise in building, testing, and deploying modern full-stack web applications. Strong skills in front-end frameworks (e.g. React), application back-ends (e.g., python, serverless/containerised applications, APIs), and database storage.
• Product Ownership: A product-focused mindset with experience in taking applications from concept to production. Comfortable with full lifecycle ownership, including maintenance and on-call responsibilities.
• Cloud and Infrastructure: Experience with cloud platforms and familiarity with infrastructure concepts (e.g. CI/CD, containerisation, serverless) needed to build scalable and reliable applications.
• Collaboration and Communication: Excellent ability to work effectively in a cross-functional team, managing stakeholders and clearly translating complex technical ideas and user feedback into product features.
• Problem-solving and Initiative: Strong analytical and troubleshooting skills. Excited by the ambiguity of a new, experimental team and able to take ownership to drive initiatives forward.
• AI/ML Interest: A strong interest in and hands-on experience with AI/ML technologies, such as LLM-based applications, RAG, or agent frameworks. The role will require learning and developing this area of knowledge.
• Event-Driven Systems (Bonus): Knowledge of event-driven systems (e.g. Kafka) is a plus. Willingness to learn is a requirement.

What the job involves

You will be joining our AI and Machine Learning team, which for the past two years has been at the forefront of leveraging AI to transform our business. Our team is composed of talented platform engineers, data scientists and a Product Manager and we are now looking for a Senior AI Engineer to build the applications that our internal and external users will interact with. This is a strategic, hands-on role created to embed critical full-stack engineering skills directly within our AI/ML experts. Your mission is to bridge the gap between our AI systems and user-facing applications.

By adding your expertise, you will help make our team a more self-sufficient unit, capable of moving from concept to production with greater speed and efficiency. You will spearhead the development of flagship GenAI products, across multiple business areas and will own the full product lifecycle, from design and development to production support and maintenance.

• Design, build, and maintain modern, full-stack web applications, including front-end development, serverless or containerised back-ends, APIs, and database storage.
• Employ technologies specifically suited to GenAI applications (MCP, Knowledge Bases, Agent to Agent communication, Agent Catalogues, LLM output monitoring and evaluation systems etc.).
• Take ownership of and accelerate the development of flagship GenAI products, like our internal "Customer Profile," to reduce time-to-value and iterate rapidly based on user feedback.
• Collaborate directly with AI/ML engineers, data scientists, product engineers and product managers in a rapid experimentation and prototyping environment.
• Embrace and drive a culture of full lifecycle ownership, taking responsibility for your applications' design, development, ongoing production support, maintenance, and on-call duties.
• Help evolve our cross-functional operating model, establishing robust, repeatable processes and best practices for building end-to-end AI applications.
• Set standards and best practices for the implementation and development of production GenAI applications and share knowledge with the rest of our engineering organisation.
• Mentor junior team members and contribute to building an outcome driven innovation culture within Funding Circle.