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- Tasks: Build and deploy cutting-edge AI systems for major financial institutions.
- Company: Fast-growing AI company with top-tier investor backing.
- Benefits: Competitive salary, hands-on experience, and direct collaboration with founders.
- Other info: Opportunity for significant career growth and to work on innovative projects.
- Why this job: Own core AI infrastructure and make a real impact in a dynamic environment.
- Qualifications: 5+ years in software engineering with strong backend skills and AI application experience.
The predicted salary is between 36000 - 60000 £ per year.
I am working with a fast growing AI company building an enterprise grade AI workspace used by major financial institutions to produce and validate client ready work. The platform replaces complex manual workflows with automated AI systems that scale across global teams and has grown rapidly with backing from top tier investors.
This role is for engineers who want to build and ship production systems. You will own core parts of the AI agent infrastructure, including multi agent systems, RAG pipelines, and evaluation frameworks. The work is hands on and production focused, covering backend services, AI infrastructure, and delivery at scale.
What you will do:
- Build and deploy backend services and APIs, Python preferred using Django or FastAPI
- Productionise AI features including RAG, agent orchestration, and evals
- Create data pipelines for training, evaluation, and continuous improvement
- Ensure performance, reliability, and security across the stack
- Work closely with founders, engineers, and product teams
What we are looking for:
- Five plus years of software engineering experience
- Proven experience deploying AI applications into production
- Strong backend engineering skills and database fundamentals
- Experience with cloud infrastructure, Docker, Kubernetes, and CI CD
- Background workers, task queues, and Redis experience
- Familiarity with LLM evaluation, monitoring, and safety
- Degree from a Russell Group university or equivalent top tier academic background, or alternatively extensive engineering expertise with clear, relevant production experience
This is a demanding, in office environment with high ownership, shifting priorities, and strong technical standards. You will work directly with founders who have built and exited venture backed companies. If you are an Applied or Agentic AI Engineer looking for real ownership and the chance to build core systems from the ground up, this is worth a conversation.
Artificial Intelligence Engineer in England employer: Deeprec
Contact Detail:
Deeprec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in England
✨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 insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and backend services. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI systems. Practice common algorithms and system design questions to impress during the interview.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a better chance to stand out and be noticed by our hiring team.
We think you need these skills to ace Artificial Intelligence Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your backend engineering skills, cloud infrastructure experience, and any AI applications you've deployed. We want to see how you fit into our fast-paced environment!
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 aligns with our mission. Don’t forget to mention specific projects or technologies you've worked with that relate to the role.
Showcase Your Projects: If you've got a portfolio or GitHub with relevant projects, share it! We love seeing real examples of your work, especially anything related to backend services, AI features, or data pipelines. It gives us a taste of what you can bring to the table.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Deeprec
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Django, and FastAPI. Brush up on your knowledge of cloud infrastructure, Docker, and Kubernetes, as these are crucial for the role.
✨Showcase Your Experience
Prepare to discuss specific projects where you've deployed AI applications into production. Highlight your backend engineering skills and any experience with multi-agent systems or RAG pipelines. Real-world examples will make your expertise stand out.
✨Understand the Company’s Vision
Research the company’s mission and recent developments in the AI space. Being able to articulate how your skills align with their goals will demonstrate your genuine interest and help you connect with the interviewers.
✨Prepare Questions
Have a list of insightful questions ready about the team dynamics, project timelines, and the company culture. This shows that you’re not just interested in the role but also in how you can contribute to the team’s success.