Software Architect, Plentific
Artificial intelligence
3+ days a week in office
Simpler, smarter property maintenance & management
Be an early applicant
Simpler, smarter property maintenance & management
101-200 employees
Be an early applicant
3+ days a week in office
101-200 employees
Company mission
To help communities flourish with better, safer homes & access to better business opportunities.
Role
Who you are
- Strong Python development background (5+ years preferred), with solid experience in FastAPI or Django and Django REST Framework
- Proven track record of building and deploying AI/ML-powered applications in production environments
- Proficiency with async and streaming APIs, enabling efficient real-time data processing and low-latency AI service delivery in microservices (FastAPI, Django, Flask, or similar)
- Strong understanding of context engineering practices, optimising prompts, memory, and retrieval strategies for LLM-based systems
- Hands-on experience with AI-assisted development tools such as Cursor, Claude Code, Codex, and GitHub Copilot, focusing on AI specification-driven approaches for technical analysis, code generation, and code review
- Hands-on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM orchestration tools (PydanticAI, LangChain, LangGraph, or similar)
- Experience deploying ML models using containerised solutions (Docker, Kubernetes) and frameworks like BentoML or equivalent
- Familiarity with vector databases and retrieval pipelines for RAG architectures
- Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tooling (MLflow, Kubeflow, or similar)
- Familiarity with voice-to-text, IVR, and/or computer vision systems is a plus
- Strong understanding of software engineering best practices—testing, CI/CD, version control, code reviews
- Excellent problem-solving skills and ability to collaborate in cross-functional teams
What the job involves
- As an AI Applied Engineer, you will design, build, and deploy AI-powered features and automation tools that transform how our users interact with our platform and improve internal operational efficiency
- You’ll work across the stack to integrate AI capabilities—such as intelligent assistants, AI agents, and predictive systems—directly into our Python-based applications, experimenting with new frameworks and deployment solutions along the way
- Your day-to-day will focus on building real, production-grade AI systems that deliver measurable value—whether that’s automating property management workflows, creating decision-support tools for our teams, or embedding natural language and vision capabilities into our products
- You’ll collaborate closely with product managers, data scientists, and other engineers, taking AI solutions from concept to scalable production deployment
- You’ll have the freedom to explore cutting-edge tools like FastAPI, PydanticAI, LLM orchestration frameworks, while ensuring solutions are robust, maintainable, and secure
- Develop and deploy AI-powered features and services in our Python-based stack (FastAPI and Django, DRF) and explore new frameworks (e.g. BentoML) for performance and scalability
- Build and integrate intelligent automation systems, AI agents, and decision-support tools into core product workflows
- Implement and optimise LLM-based systems, RAG pipelines, and AI agent architectures for complex property management workflows
- Work with cross-functional teams to gather requirements, define AI use cases, and iterate quickly on prototypes
- Integrate complementary AI capabilities—such as voice processing, computer vision, and NLP—into customer-facing and internal tools
- Ensure all AI applications and models adhere to security best practices, including input validation, secure handling of sensitive data (PII/confidential property information), and protection against prompt injection and other AI-specific vulnerabilities
- Collaborate with MLOps and platform engineers to ensure models are deployed, monitored, and iterated in production environments
- Maintain clear documentation for AI systems, APIs, and workflows
- Stay on top of emerging AI frameworks and deployment tools, bringing forward innovative ideas for application
Application process
- Initial Interview with Talent
- Live coding exercise
- Take home systems design
- Presentation and interview with VP of Engineering and CTO
Salary benchmarks
Our take
Plentific stands out as a technology-driven property management platform that enhances the digital experience offered by landlords to their tenants. Its platform reduces operational costs associated with repair and maintenance services and eliminates manual tasks by digitising processes. The company effectively links landlords with a growing network of vetted local tradespeople.
Initially targeting housing associations, local authorities, and large-scale landlords in the UK and Germany, Plentific addresses the pressing need for safe, affordable, and high-quality accommodation amid tightening budgets. The platform's reach is gradually expanding into additional sectors such as student housing, private landlords, and industries like sports, fitness, and hospitality.
In a market with a few competitors offering similar services, Plentific aims to differentiate itself by positioning its management platform as the premier distribution channel for tradespeople services. In 2026, it launched a real-time field service management tool to keep in line with evolving UK property law. It's smart moves like this which will keep Plentific ahead of the competition.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Aug 2021
$100m
SERIES C
Nov 2019
$34.1m
SERIES B
Total funding: $146m
Company benefits
- Paid time off
- Life Insurance
- EAP Program
- Referral bonus scheme
- Learning and development fund
- Company volunteering day
- Flexible working environment
- Insurance package
- Regular gatherings and socials
- Tech scheme
- Pension scheme
- Season ticket loan
- Electric vehicle scheme
- Cycle to work scheme
Company values
- We're Human - We’re diverse and embracing of all cultures. We champion each other's success. We’re open and honest in our communications
- We're Together - We’re humble, we listen to and respect our teammates. We challenge each other, but when a decision is made, we all get behind it and deliver
- We're Exceptional - We bring our A-game. We aim to be the best at what we do. We step outside our boundary. If we recognise something needs to be done, we do it
- We're Pragmatic - We’re proactive and considerate in our approach. We value our others’ time, as well as our own. We’re positive in our thought process but honest about our limitations
- We're Client-centric - We are focussed on delivering the best outcome for our customers. We believe the impossible is possible, through dedication and focus
Company HQ
City of London, London, UK
Articles
Leadership
Cem Savas
(Co-Founder & CEO)Previously worked in investment banking at HSBC and Nomura.
Emre Kazan
(Co-Founder & CPTO)Has a PhD from Cambridge, worked in finance and banking at EY, Morgan Stanley and Nomura
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