At a Glance
- Tasks: Lead the development of scalable AI-driven backend systems for property management.
- Company: Fast-scaling AI startup revolutionising property management with innovative technology.
- Benefits: Equity options, competitive salary, and a chance to shape the future of AI.
- Other info: Dynamic startup culture with opportunities for mentorship and career growth.
- Why this job: Join a high-impact role at the forefront of AI, making a real difference in property management.
- Qualifications: 7+ years in software engineering, strong Python skills, and leadership experience.
The predicted salary is between 80000 - 100000 £ per year.
Service-as-a-Software startup automating property management workflows via autonomous AI agents.
As a Lead AI/Python Engineer, you will architect scalable backend systems for an AI assistant capable of handling 80% of property management administration. You'll bridge the gap between cutting‑edge AI research and production deployment, mentoring a high‑performing team while shaping the technical strategy for a platform redefining a regulation‑driven UK market.
Location: London, UK
Why this role is remarkable:
- Rare opportunity to join a fast‑scaling AI startup in a high‑impact leadership role with a clear path to partnership and significant equity.
- Work at the forefront of AI deployment, moving beyond prototypes to build production‑grade systems using state‑of‑the‑art models like Unsloth and vLLM.
- Impact a massive real‑world market by automating complex compliance and tenant support workflows for the UK's property management and lettings industry.
What You Will Do:
- Architect and build scalable Python‑based backend systems and APIs using FastAPI, Flask, or Django within a microservices environment.
- Drive innovation in AI integration, overseeing the fine‑tuning of models and deploying them into production environments using Huggingface and Ollama.
- Mentor junior engineers and foster a high‑performing engineering culture while collaborating with Product and Design teams to translate business needs into technical solutions.
The ideal candidate:
- 7+ years of hands‑on software engineering experience with deep expertise in Python and experience building SaaS or automation platforms.
- Holds a First‑class or strong degree in Computer Science or Engineering from a top‑tier university, demonstrating exceptional problem‑solving skills.
- Proven ability to lead cross‑functional engineering teams and a desire to take ownership in a fast‑paced, office‑based startup environment in Victoria.
Lead AI/Python Engineer (+ Equity) at AI-driven Property Management SaaS employer: Jack & Jill
Join a dynamic AI-driven property management SaaS startup in London, where innovation meets opportunity. As a Lead AI/Python Engineer, you'll not only shape the future of property management but also enjoy a collaborative work culture that prioritises mentorship and professional growth. With significant equity on offer and a clear path to partnership, this role provides a unique chance to make a real impact in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI/Python Engineer (+ Equity) at AI-driven Property Management SaaS
✨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 projects, especially those related to AI and Python. This is your chance to demonstrate your expertise and passion for the field, making you stand out to hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and coding challenges. Practice explaining your thought process clearly, as communication is key when working in a team and mentoring others.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it shows your genuine interest in joining our team and being part of something innovative.
We think you need these skills to ace Lead AI/Python Engineer (+ Equity) at AI-driven Property Management SaaS
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead AI/Python Engineer role. Highlight your Python expertise and any experience with SaaS or automation platforms to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and property management. Share specific examples of how you've led teams or projects, and how you can contribute to our mission at StudySmarter.
Showcase Your Projects:If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing real-world applications of your skills, especially in AI integration and backend systems.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the frameworks mentioned, like FastAPI, Flask, or Django. Brush up on your experience with microservices and be ready to discuss how you've architected scalable systems in the past.
✨Showcase Your AI Knowledge
Since this role involves AI integration, be prepared to talk about your experience with AI models, especially those like Huggingface and Ollama. Share specific examples of how you've fine-tuned models and deployed them into production.
✨Demonstrate Leadership Skills
As a Lead Engineer, you'll need to mentor junior engineers. Think of examples where you've led teams or projects, and be ready to discuss how you foster a high-performing culture and collaborate with cross-functional teams.
✨Align with Company Vision
Understand the company's mission in automating property management workflows. Be ready to discuss how your skills and experiences align with their goals, and express your enthusiasm for impacting the UK property management market.
