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- Tasks: Join a dynamic team to develop AI features and enhance platform efficiency.
- Company: Leading InsurTech company focused on innovative AI solutions.
- Benefits: Competitive salary up to £95k, great benefits, and hybrid working.
- Why this job: Make an impact in AI development while collaborating with talented professionals.
- Qualifications: 4+ years in Python development and experience with Flask or FastAPI.
- Other info: Work in Central London with opportunities for career growth.
The predicted salary is between 72000 - 108000 £ per year.
I'm partnered with a leading InsurTech company, who are growing their AI function, and are looking for a highly skilled Python Developer, with AI capabilities to join their team. Working in a cross-functional team, you'll be adding new AI features to their platform, ensuring services are scalable, reliable and efficient, whilst contributing to architectural decisions as well as designing and building services that orchestrate AI Agents, using tools such as LangChain.
Key skills and experience:
- 4+ years within Python Development
- Experience building RestAPIs in frameworks such as Flask or FastAPI
- Strong understanding of cloud environments (AWS or Azure)
- Microservices experience
- AI tools such as LangChain for Agent Orchestration
- Databricks experience is a plus, but not essential
Salary: Pays up to £95k + great benefits package
Hybrid working: 3-days a week in Central London
Visa sponsorship: Unavailable and you must be UK based to be considered
AI Software Engineer in London employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the InsurTech space or related fields. Attend meetups, webinars, or tech events where you can chat with industry folks and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving AI and cloud environments. 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 your Python and AI knowledge. Practice coding challenges and be ready to discuss your experience with frameworks like Flask and FastAPI. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Software Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Flask, FastAPI, and any AI tools like LangChain. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool projects involving microservices or cloud environments, make sure to mention them! We’re keen to see practical examples of your work, especially if they relate to AI features or orchestration.
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’s super easy – just follow the prompts!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Flask, FastAPI, and the cloud environments like AWS or Azure. Brush up on your knowledge of AI tools such as LangChain, as you’ll likely be asked to discuss how you’ve used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to building scalable and efficient services. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions.
✨Understand the Company’s Vision
Research the InsurTech company and understand their mission and how they leverage AI in their products. This will help you align your answers with their goals and demonstrate your genuine interest in being part of their team.
✨Ask Insightful Questions
Prepare thoughtful questions about their AI function and the architectural decisions they’re making. This shows that you’re not just interested in the role but also in how you can contribute to their success and growth.