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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 team with high ownership and influence on product development.
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 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 London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, 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 Python projects, especially those involving APIs and AI features. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on coding challenges and system design questions. Practice makes perfect, so get comfortable with whiteboard coding or online platforms that simulate real interview scenarios.
✨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 hiring managers.
We think you need these skills to ace Lead Python Engineer in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your strong Python backend skills in your application. We want to see how you've used frameworks like FastAPI, Flask, or Django in your past projects. Don’t just list them; give us examples of how you’ve built scalable systems!
Talk About Your Experience: We’re looking for someone with 4 to 8 years of software engineering experience, so be sure to detail your journey. Share specific projects where you’ve developed APIs or integrated AI features, especially in a fast-paced environment. This helps us understand your hands-on experience.
Be a Team Player: Since this role involves collaboration, let us know how you’ve worked cross-functionally in the past. Mention any experiences where you’ve taken ideas from concept to live features, and how you’ve mentored others along the way. We love seeing teamwork in action!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team at StudySmarter!
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 operational workflows.
✨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 workflows and integrating LLM capabilities. Showing genuine interest in their goals will set you apart.