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- Tasks: Design and build scalable backend systems using Python and AI technologies.
- Company: Early-stage AI product company in London with a focus on innovation.
- Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
- Why this job: Lead impactful projects and shape the future of AI-driven solutions.
- Qualifications: 4-8 years of software engineering experience with strong Python skills.
- Other info: Join a small, collaborative team with high ownership and growth potential.
The predicted salary is between 70000 - 90000 £ per year.
We’re working with an early-stage AI product company in London building software that automates real-world operational workflows using Python and applied AI. This is a hands-on engineering role focused on designing and building backend systems, APIs, and data-driven workflows that power AI features used in production. You’ll work closely with product and design to take ideas from concept to live features, integrating LLM capabilities into practical use cases. The role is around 80 percent coding and 20 percent leadership. Alongside building systems, you’ll mentor engineers, contribute to code reviews, and help shape technical decisions as the team grows.
You’ll be responsible for:
- Designing and building scalable backend services using Python
- Developing APIs that support core product functionality
- Integrating LLM and AI-driven features into workflows
- Improving system performance, reliability, and maintainability
- Collaborating cross-functionally to deliver features end to end
Key requirements:
- 4 to 8 years software engineering experience
- Strong Python backend skills, APIs, and frameworks such as FastAPI, Flask, or Django
- Experience building production systems in a startup or fast-paced environment
- Familiarity with cloud platforms such as AWS, GCP, or Azure
- Exposure to AI, LLMs, or RAG is beneficial
You’ll join a small, product-focused team with high ownership and the opportunity to influence both engineering direction and product development.
Lead Python Engineer in City of London employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Python Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 Python projects, especially those involving backend systems and APIs. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on coding challenges and system design questions. Practice makes perfect, so consider mock interviews with friends or use platforms that offer coding exercises.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented engineers like you. Plus, applying directly can sometimes give you a better chance of getting noticed by the hiring team.
We think you need these skills to ace Lead Python Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and experience with backend systems. We want to see how your past roles align with the responsibilities of designing scalable services and developing APIs.
Showcase Your Projects: Include any relevant projects that demonstrate your ability to integrate AI features or work with cloud platforms. We love seeing practical examples of your work, especially if they relate to real-world applications.
Be Clear and Concise: When writing your cover letter, get straight to the point. We appreciate clarity and directness, so explain why you’re a great fit for the role without fluff. Highlight your leadership experience and coding prowess!
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 don’t miss out on any important updates from our team.
How to prepare for a job interview at DeepRec.ai
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with frameworks like FastAPI, Flask, or Django. Be ready to discuss your past projects and how you've used these technologies to build scalable backend services.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some coding challenges during the interview. Practice common algorithms and data structures, and think about how you can apply them to real-world scenarios, especially in relation to AI and LLM integration.
✨Demonstrate Leadership Experience
Since this role involves mentoring and shaping technical decisions, be prepared to share examples of how you've led teams or contributed to code reviews. Highlight any experiences where you've influenced engineering direction in previous roles.
✨Understand the Company’s Product Vision
Research the company and its AI product thoroughly. Be ready to discuss how you can contribute to their mission of automating operational workflows and how your experience aligns with their goals. This shows your genuine interest and helps you stand out.