Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 and mental wellbeing support.
- Why this job: Join a dynamic team and work on cutting-edge AI applications that make a difference.
- Qualifications: Strong Python skills and experience in building LLM 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:
- 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 C# 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 C# Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLM applications or cloud deployments. This will help you stand out when you apply through our website.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI engineering. Practice explaining your past projects and how you tackled challenges – confidence is key!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression. It shows you're genuinely interested and keeps you on their radar as they make decisions.
We think you need these skills to ace Remote C# 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 in Python and any experience with LLM applications. We want to see how you can contribute 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 and how your background makes you a great fit for this role. We love seeing enthusiasm and a clear understanding of what we do.
Showcase Relevant Projects: If you've worked on projects involving AI applications or cloud deployments, make sure to mention them! We’re interested in real-world examples that demonstrate your ability to take systems from concept to production.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates. Let’s get started on this journey together!
How to prepare for a job interview at MBN Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially C# and Python. Brush up on your experience with LLM applications and RAG pipelines, as these will likely come up during the interview.
✨Showcase Real-World Applications
Prepare to discuss specific projects where you've built AI applications from concept to production. Highlight your role in integrating LLMs with enterprise systems and any challenges you overcame along the way.
✨Familiarise Yourself with Multi-Agent Frameworks
Since familiarity with frameworks like CrewAI and LangGraph is a plus, do some research and be ready to talk about how you’ve used or could use these tools in your work. This shows you're proactive and engaged with the latest tech.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects and future direction in AI. This not only demonstrates your interest but also helps you gauge if the company aligns with your career goals.