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- Tasks: Design, build, and deploy real-world AI systems for enterprise clients.
- Company: Fast-growing AI consultancy with a global presence and innovative projects.
- Benefits: Competitive salary, quarterly bonuses, training budget, and private medical insurance.
- Other info: Hybrid role with excellent career growth opportunities and supportive work environment.
- Why this job: Join a dynamic team and work on cutting-edge AI applications that make a real impact.
- Qualifications: Strong Python skills and experience in building production-grade AI applications.
The predicted salary is between 70000 - 130000 £ per year.
We’re working with a fast growing AI consultancy that has recently expanded through an international merger, bringing together teams across London and Europe as part of a global AI business of around 600 people. The consultancy is an OpenAI and Anthropic partner, specialising in deploying production AI systems for large enterprise organisations across sectors such as financial services, energy and healthcare.
The team in London is continuing to scale and we are looking for AI Engineers across multiple levels including Consultant, Senior, Lead and Principal to help design, build and deploy real world AI systems for enterprise clients. You will work on applied AI, building production grade applications powered by LLMs rather than focusing on research or model training. Projects typically involve designing agent based workflows, integrating LLMs with enterprise systems and delivering reliable AI systems that are used in live environments.
What we’re looking for:
- Engineers who have experience building real AI applications and are comfortable taking systems from concept through to production.
- Strong Software Engineering skills with Python.
- Experience building LLM applications in production environments.
- Experience implementing RAG pipelines.
- Familiarity with multi agent frameworks such as CrewAI, LangGraph, Autogen, MCP, a2a Anthropic agent etc.
- Experience deploying applications on cloud platforms such as AWS, Azure or GCP.
The role is hybrid (2/3 days in London office – Liverpool Street) and benefits include:
- Competitive base salary depending on level.
- Quarterly bonus.
- £2,000 annual training budget and dedicated training days.
- Private medical insurance.
- Life assurance and critical illness cover.
- Income protection.
- 25 days holiday plus bank holidays.
- Pension scheme.
- Cycle to Work scheme and season ticket loan.
- Access to mental wellbeing support and online GP services.
Please note: you must be eligible to work in the UK to be considered for this position.
Interested? If you think you fit the bill, get in touch by clicking the ‘apply now’ button or contact me directly:
- Email me at mo@mbnsolutions.com
- Call me on 02037736498
Remote engineer in City of London employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working at the consultancy you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLM applications. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on common AI engineering questions and scenarios. Practice explaining your past projects and how you tackled challenges – confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Remote engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your software engineering skills, especially with Python, and any relevant AI projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your experience aligns with our needs. Be specific about your experience with LLM applications and cloud platforms.
Showcase Your Projects: If you've built any AI applications or worked on relevant projects, make sure to include them in your application. We love seeing real-world examples of your work!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at MBN Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI applications, especially those involving LLMs. Be ready to discuss your experience with building production-grade applications and any specific projects you've worked on that relate to the job description.
✨Show Off Your Software Skills
Since strong software engineering skills in Python are a must, prepare to talk about your coding experience. Bring examples of your work, and if possible, be ready to solve a coding challenge during the interview to demonstrate your abilities.
✨Familiarise Yourself with Tools
Get to know the multi-agent frameworks mentioned in the job description, like CrewAI or LangGraph. Being able to discuss how you've used these tools or similar ones in past projects will show you're a great fit for the role.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's projects and future direction. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals and values.