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For Companies At a Glance
- Tasks: Lead the design and implementation of AI data pipelines and systems.
- Company: Join a cutting-edge proptech company revolutionising AI and data in property and finance.
- Benefits: Enjoy flexible hybrid work, competitive salary, and equity options.
- Why this job: Make a real impact with innovative AI solutions in a dynamic, supportive culture.
- Qualifications: Proven experience in data pipelines, web crawling, and AI development required.
- Other info: Mentorship opportunities available for aspiring engineers and data scientists.
The predicted salary is between 64000 - 76000 £ per year.
Location: London or Cardiff, UK (Hybrid/Flexible)Salary: £80,000 – £90,000 DOE (Plus equity options)
About Us
We are a proptech company at the forefront of AI and data innovation, partnering with leading insurance firms and major banks to deliver intelligent, scalable solutions for the property sector. Our work blends deep technical expertise with the reliability, security, and compliance required by highly regulated industries.
We design and build systems that collect, integrate, and process hundreds of data sources — from live APIs and large-scale web crawls to internal datasets — and connect them to cutting-edge AI models, including fine-tuned LLMs and retrieval-augmented generation (RAG) pipelines. Our solutions enable smarter property decisions, faster operations, and better customer outcomes for both the financial services and property sectors.
Key Responsibilities
Data Acquisition & Integration
- Design, implement, and operate pipelines ingesting and normalising data from APIs, databases, web crawlers, and file imports.
- Architect secure, scalable web crawling and data ingestion systems suitable for regulated environments.
AI Development & RAG Implementation
- Prepare, clean, and structure datasets for fine-tuning LLMs and retrieval-based workflows.
- Design, implement, and optimise RAG pipelines using vector databases, embeddings, and semantic search to connect real-time and historical data to LLMs.
- Deploy, evaluate, and refine AI agents using GPU-enabled cloud infrastructure.
- Build and maintain prompt engineering and evaluation frameworks for enterprise-grade AI applications.
- Lead the end-to-end architecture for AI data ingestion, processing, and retrieval workflows with a focus on security, compliance, and scalability.
- Mentor engineers and data scientists, promoting best practices for AI in regulated industries.
Insights & Automation
- Automate extraction of technical and business insights from large datasets for property and financial services use cases.
- Optimise performance and cost-efficiency of compute and retrieval operations.
Required Skills & Experience
- Proven experience designing and maintaining complex data pipelines from multiple sources.
- Strong expertise in large-scale web crawling & scraping.
- Proficiency in Python and one or more of: Node.js, Go, Java.
- Deep experience in RAG — from embeddings and vector database design to semantic search optimisation and retrieval integration with LLMs.
- Experience with LLM fine-tuning and evaluation.
- Hands-on experience with GPU cloud platforms for model training and inference.
- Understanding of data security, privacy, and compliance in regulated industries.
- Database knowledge across SQL, NoSQL, and document stores.
- Familiarity with ETL/ELT frameworks and distributed data processing.
- Ability to lead complex technical projects and mentor other engineers.
Nice-to-Have Skills
- Experience with LangChain, LlamaIndex, or other RAG orchestration frameworks.
- Familiarity with model evaluation tools.
- Background in proptech, insurance, or financial services data ecosystems.
- Exposure to MLOps pipelines for continuous AI delivery in enterprise environments.
What We Offer
- Flexible, hybrid working arrangements.
- Opportunity to deliver high-impact AI solutions for the property and financial services sectors.
- Culture of innovation combined with enterprise-grade quality and governance.
Apply to careers@planna.co with your CV and a short description of your most impactful RAG or AI pipeline project.
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Lead AI Data Engineer employer: Planna Ltd.
Contact Detail:
Planna Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Data Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data engineering, especially focusing on RAG pipelines and LLMs. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the proptech and financial services sectors. Attend relevant meetups or webinars to connect with industry experts who can provide insights and potentially refer you to opportunities at StudySmarter.
✨Tip Number 3
Prepare to discuss your previous projects in detail, particularly those involving complex data pipelines and AI implementations. Be ready to explain your thought process, challenges faced, and how you overcame them.
✨Tip Number 4
Showcase your leadership skills by discussing any mentoring experiences you've had. Highlight how you've guided others in best practices for AI and data engineering, as this aligns with our focus on team collaboration and growth.
We think you need these skills to ace Lead AI Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines, web crawling, and AI development. Use specific examples that demonstrate your expertise in RAG and LLMs, as these are crucial for the role.
Craft a Compelling Project Description: In your application, include a short description of your most impactful RAG or AI pipeline project. Focus on the challenges you faced, the solutions you implemented, and the outcomes achieved to showcase your problem-solving skills.
Highlight Relevant Skills: Clearly list your technical skills relevant to the job, such as proficiency in Python, experience with GPU cloud platforms, and knowledge of data security and compliance. This will help the hiring team see your fit for the role at a glance.
Showcase Leadership Experience: If you have experience mentoring engineers or leading projects, make sure to mention this in your application. Highlighting your leadership skills can set you apart, especially since the role involves mentoring others in best practices.
How to prepare for a job interview at Planna Ltd.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data pipelines, web crawling, and AI development. Highlight specific projects where you've designed or maintained complex systems, especially those involving LLMs and RAG implementations.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Be ready to explain how you approach problem-solving, particularly in regulated environments. Use examples from your past work to illustrate your thought process and solutions.
✨Emphasise Security and Compliance Knowledge
Given the nature of the company, it's crucial to demonstrate your understanding of data security, privacy, and compliance. Prepare to discuss how you've ensured these aspects in previous projects, especially when dealing with sensitive data.
✨Prepare for Leadership Questions
As a Lead AI Data Engineer, you'll be expected to mentor others. Be ready to share your experiences in leading teams, promoting best practices, and how you've contributed to the professional growth of your colleagues.
