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For Companies At a Glance
- Tasks: Join us to build innovative AI solutions and tackle real-world challenges with cutting-edge technology.
- Company: Elsewhen, a friendly consultancy working with top clients like Spotify and Google.
- Benefits: Enjoy flexible remote work, generous leave, and a £2,000 learning budget.
- Why this job: Make an impact in AI engineering while collaborating with talented professionals.
- Qualifications: Experience in AI engineering and strong Python skills are essential.
- Other info: Diverse and inclusive culture with excellent career growth opportunities.
The predicted salary is between 48000 - 84000 £ 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.
Work Environment
Hybrid setup: Ideally, we’re looking for someone London-based who can work onsite at our WeWork one day a week (Wednesdays). We also provide a WeWork 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 LangGraph.
- 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 FastAPI 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, LlamaIndex, or LangGraph.
- Working with vector databases for embedding and indexing.
- Strong experience with cloud platforms.
- Strong experience with API design and frameworks like FastAPI or Flask.
- Solid experience with relational databases and SQL.
- Interest in expanding your knowledge into GenAI 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.
Benefits
- 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 leave.
- 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.
Senior AI Engineer Engineering · London · employer: Elsewhen
Contact Detail:
Elsewhen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer Engineering · London ·
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meet-ups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and multi-agent systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI engineering and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our friendly and impactful team.
We think you need these skills to ace Senior AI Engineer Engineering · London ·
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior AI Engineer role. Highlight your professional AI engineering experience and any hands-on work with LLMs and Agentic architectures. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI engineering and how your background fits with our mission at Elsewhen. Don’t forget to mention your collaborative spirit and how you thrive in a friendly, agile environment like ours.
Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. Whether it's building LLM-powered systems or optimising APIs, we love seeing real-world applications of your skills. This helps us understand your hands-on experience better!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Elsewhen
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Large Language Models and multi-agent architectures. Be ready to discuss your hands-on experience with tools like LangGraph and any relevant projects you've worked on. This will show that you're not just familiar with the theory but can apply it in real-world scenarios.
✨Show Off Your Python Skills
Since the role requires solid Python experience, be prepared to talk about your coding practices, debugging techniques, and any automation you've implemented. You might even want to bring examples of your work or discuss specific challenges you've overcome using Python.
✨Collaboration is Key
This position involves working closely with engineers, product managers, and AI specialists. Highlight your teamwork skills and provide examples of how you've successfully collaborated on projects in the past. Communication is crucial, so demonstrate your ability to convey complex ideas clearly.
✨Get Familiar with GCP and APIs
Since strong experience with cloud platforms and API design is a must, make sure you can discuss your familiarity with GCP and frameworks like FastAPI. Be ready to explain how you've built and optimised APIs in previous roles, as well as any experience you have with vector databases.
