At a Glance
- Tasks: Architect scalable backend systems for an AI assistant in property management.
- Company: Fast-scaling AI-driven SaaS startup revolutionising property management.
- Benefits: Competitive salary, equity options, and a clear path to partnership.
- Other info: Mentor junior engineers and shape the future of property management.
- Why this job: Join a high-impact role at the forefront of AI technology.
- Qualifications: 7+ years in software engineering with strong Python skills.
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 in London employer: Jack & Jill
Join a dynamic AI-driven property management SaaS startup in London, where innovation meets impact. As a Lead AI/Python Engineer, you'll enjoy a collaborative work culture that prioritises mentorship and professional growth, alongside the unique opportunity to gain equity in a fast-scaling company. With a focus on cutting-edge technology and real-world applications, this role offers a meaningful chance to shape the future of property management while advancing your career in a vibrant city.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI/Python Engineer (+ Equity) at AI-driven Property Management SaaS in 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 projects, especially those related to AI and Python. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Lead AI/Python Engineer (+ Equity) at AI-driven Property Management SaaS in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead AI/Python Engineer role. Highlight your experience with Python and any relevant projects that showcase your skills in building scalable systems. We want to see how you can bridge the gap between AI research and production!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and property management. Share specific examples of how you've led teams or driven innovation in past roles. We love seeing your personality come through!
Showcase Your Technical Skills:In your application, don't forget to mention your expertise with frameworks like FastAPI, Flask, or Django. If you've worked with AI models or have experience in SaaS platforms, make sure to highlight that too. We’re looking for someone who can hit the ground running!
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. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, FastAPI, Flask, and Django. Brush up on your knowledge of microservices and AI integration, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior engineers and leading a team, be prepared to discuss your previous leadership experiences. Share specific examples of how you've fostered a high-performing culture and driven innovation in past projects.
✨Understand the Business Impact
This position is all about automating property management workflows. Familiarise yourself with the challenges in the UK property market and think about how your technical solutions can address these issues. Showing that you understand the business side will set you apart.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, team dynamics, and future goals. This not only shows your interest but also helps you gauge if the company aligns with your career aspirations.
