At a Glance
- Tasks: Join us to build innovative AI solutions and tackle real-world challenges with cutting-edge technology.
- Company: Elsewhen, a friendly London-based consultancy working with top clients like Spotify and Google.
- Benefits: Enjoy flexible remote work, generous leave, health insurance, and a £2,000 learning budget.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make an impact in the AI field while collaborating with talented professionals in a dynamic environment.
- Qualifications: Experience in AI engineering, Python, and building LLM-based solutions is essential.
The predicted salary is between 60000 - 80000 £ per year.
Elsewhen, a London-based consultancy, designs and builds technology solutions for clients like Spotify, Google, Inmarsat, and Zego.
Over the past decade, we have built a workplace prioritising impact, drive, and friendliness.
We value outcomes over hours and agility over rigid processes.
- Hybrid setup: Ideally, we’re looking for someone London-based who can work onsite at our We Work one day a week (Wednesdays).
We also provide a We Work membership for occasional additional office access if needed.
• Join our team
We are looking for a talented Senior AI Engineer to join our fast growing team, helping to bring LLM capabilities into new and existing products.
You will dive into AI engineering, building LLM powered systems and exploring multi-agent architectures within a variety of organisations.
What You’ll Do
- Experiment with POCs to find solutions for real-world problems using Large Language Models.
- Collaborate on AI-driven projects, working alongside engineers, product managers and AI specialists while maintaining clear documentation
- Build and deploy Agentic LLM-based solutions with Lang Graph.
- Familiar with different multi agent system patterns
- Build and deploy LLM-based solutions using RAG
- Familiar with different types of databases: Relational, Graph etc
- Design and optimise APIs using Python and Fast API to serve AI solutions.
- Familiar with GCP ecosystem and Cloudrun
- Build and optimise data pipelines for vector search and knowledge retrieval using Vector databases and embedding models.
What We’re Looking For
- Professional AI engineering experience.
- Background in Software Engineering with Python.
- Solid understanding of the Python standard library and modern Python coding, testing, debugging and automation techniques
- Hands‑on experience building solutions using LLMs and Agentic architectures with ADK, Llama Index, or Lang Graph.
- Working with vector databases for embedding and indexing.
- Strong experience with cloud platforms
- Strong experience with API design and frameworks like Fast API or Flask
- Solid experience with relational databases and SQL
- Interest in expanding your knowledge into Gen AI and machine learning
- Excellent communication skills and the ability to work well in a collaborative team environment
Nice to have
- Strong experience with GCP
- Experience with Graph databases
- Experience in bringing data-intensive projects into production
- Experience with CI/CD pipelines
- Private Health Insurance: Comprehensive coverage for both physical and mental health.
- Flexible and Remote-First Work Environment: Choose how and where you work, with the option for weekly team meet‑ups in central London.
- Generous Leave Policy: 27 days of holiday plus bank holidays
- Family-friendly policies, including enhanced maternity, paternity and shared
- Learning and Development: Individual annual budget of £2,000 for learning and development, with dedicated learning days.
- Feel Better Fund: £500 to help set up your remote office.
- Social Events: Monthly and quarterly team events, an annual team trip, and half‑yearly social events.
- Gym Membership Contribution: Support for maintaining your physical health.
- Pension Contribution: Enhanced employer pension contribution of 6%.
- Bonus Opportunities: Potential to receive a discretionary (non-contractual) bonus based on business and personal achievements
Our Commitment to Diversity
Diverse thoughts, backgrounds, and perspectives create stronger teams and better technology.
We welcome everyone, regardless of culture, appearance, or perspective, fostering individuality.
We empower our team to challenge norms, grow ideas, and produce their best work.
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Generative AI Engineer in London employer: Elsewhen
Elsewhen is an exceptional employer that champions innovation and collaboration in the tech space, offering a fully remote work environment that prioritises impact and agility. With a strong focus on employee growth, team members are encouraged to experiment and develop cutting-edge AI solutions while working alongside industry leaders. The company fosters a diverse and inclusive culture, empowering individuals to challenge norms and contribute meaningfully to exciting projects for high-profile clients.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer in London
✨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 Elsewhen 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 Elsewhen.
✨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 Elsewhen.
✨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 Elsewhen 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 Generative AI Engineer in London
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 Elsewhen.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Elsewhen 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 Elsewhen
✨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 Elsewhen 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.
