At a Glance
- Tasks: Create AI integrations and empower teams to build innovative AI-powered tools.
- Company: Join a forward-thinking tech company focused on AI advancements.
- Benefits: Enjoy flexible working, health coverage, and social events with colleagues.
- Other info: Dynamic workplace with opportunities for personal and professional growth.
- Why this job: Make a real impact by shaping the future of AI in a collaborative environment.
- Qualifications: 4+ years in software engineering with strong full-stack and AI tooling experience.
The predicted salary is between 70000 - 90000 £ per year.
Responsibilities
- 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
- Enable others to build with AI by supporting 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
- Deliver measurable impact by working 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 will genuinely improve engineering output
Qualifications
- 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
Nice to have
- Experience with AWS Bedrock or other LLM provider APIs
- Experience with monitoring tools such as Datadog
- Experience with creating guardrails for products: SLOs, DORA metrics
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
Note: This listing describes responsibilities, qualifications and benefits; it does not include application steps beyond the advertised process.
Senior AI Engineer (AI Engineering) in City of Westminster employer: Lendable Ltd
As a Senior AI Engineer at our innovative company, you'll thrive in a dynamic work culture that prioritises collaboration and creativity. We offer flexible working arrangements, comprehensive health coverage, and opportunities for professional growth, all while fostering a supportive environment where your contributions directly impact the business. Join us to be part of a forward-thinking team that values curiosity and encourages experimentation with cutting-edge AI technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer (AI Engineering) in City of Westminster
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Lendable Ltd or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Lendable Ltd.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Lendable Ltd.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Lendable Ltd that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Engineer (AI Engineering) in City of Westminster
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Lendable Ltd.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Lendable Ltd and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Lendable Ltd
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Lendable Ltd uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
