Senior AI Engineer, AI Engineering

🕒 May 19

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Lendable

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Lendable is a loan management company that provides fast loans with fair rates. Customers can see their loan rates before applying without impacting their credit score and can receive money the same day. Lendable emphasizes transparency, safety, and customer satisfaction, with strong customer reviews and regulatory compliance under the FCA. The company offers loans ranging from £1,000 to £25,000 with flexible repayment terms and competitive APR rates.

📋 Description

• Build AI on top of our cloud closing agent pronto • Create connectors and integrations that make company data available to AI systems (Google Workspace, Slack, Jira, GitHub, Snowflake, Confluence and more) • Build and maintain knowledge base pipelines, MCP integrations and API connections that power AI tooling across the business • Work with security and data governance requirements to ensure integrations are safe and appropriate • Support internal teams to create their own AI-powered data sources, automated workflows and internal tools using rapid app builder tools • Build templates, guardrails and building blocks that make it easy for non-engineers to experiment safely • Contribute to our internal automation platform using tools like AWS Bedrock, n8n and custom-built solutions • Work closely with the PM and engineering lead to identify the highest-leverage opportunities • Ship quickly, measure outcomes (time saved, errors reduced, adoption) and iterate based on what you learn • Stay curious about emerging tools and techniques — and apply them where they'll genuinely make a difference to our engineering output

🎯 Requirements

• 4+ years of software engineering experience • Proven experience building AI tooling used by others in a commercial environment • Strong full-stack skills in TypeScript • Frontend skills with Next.js or React to build an interface for engineers • Knowledge of MCP (Model Context Protocol) • Experience shipping containerised software to Kubernetes • Comfortable working with LLMs, embeddings and AI application patterns • Experience designing and building API integrations • Self-starter who takes ownership end-to-end — from understanding the problem, through design and implementation, to monitoring and iteration • Motivated by impact — you want to see your work used and making a difference.

🏖️ Benefits

• Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites • Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls • Health coverage: support for your physical and mental wellbeing, including private health cover • Retirement & savings: long-term financial wellbeing through retirement savings plans • Employee referral programme: earn a competitive bonus when you refer successful new team members • Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations • Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations