Python AI Engineer - PropTech - London (onsite)

Transparent Technology
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 130K

Job location

Charing Cross, United Kingdom

Tech stack

API
Artificial Intelligence
Application Integration Architecture
Software as a Service
Cloud Computing
Software Quality
Continuous Integration
Django
Python
Automation of Marketing
Node.js
Software Engineering
Flask
Backend
FastAPI
Build Management
Containerization
Kubernetes
Virtual Agents
Data Pipelines
Docker
Microservices

Job description

Lead Python Engineer | AI, Python, FastAPI, Django, Microservices, APIs, Cloud | London | up to £130k + Equity

Build AI-powered systems that automate real-world workflows at scale.

This is an opportunity to join a fast-growing AI startup building an AI-driven platform automating up to 80% of property management workflows, transforming how compliance, maintenance, and tenant communication are handled across the UK property sector.

As a Lead Python Engineer, you'll design and build scalable backend systems, APIs, and AI-driven applications, working at the intersection of software engineering, automation, and AI integration. You'll play a key role in developing systems that directly impact end users, while helping shape engineering practices and mentoring other developers in a high-growth environment.

You'll be responsible for architecting and building Python-based systems (FastAPI, Django, Flask), developing and optimising data pipelines, and ensuring systems are scalable, secure, and performant. You'll collaborate closely with product, AI, and design teams to translate business requirements into technical solutions, while contributing to technical strategy, system design, and code quality.

We're looking for engineers with strong experience in Python development, building production-grade systems, APIs, and microservices, with familiarity in cloud platforms, CI/CD, and modern software engineering practices. Experience working on AI systems, automation platforms, or SaaS products is highly desirable, along with exposure to Node.js, containerisation (Docker/Kubernetes), and scalable architectures.

Requirements

You may already be operating at a senior level or stepping into leadership, but you'll bring strong problem-solving skills, a collaborative mindset, and the ability to work in fast-paced environments where you can take ownership and drive impact.

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