Backend Software Engineer — Applied ML & LLM Systems

Навыки

• API (интеграции)
• CI/CD
• C++
• CRM-системы
• C#
• Django
• FastAPI

О компании и продукте

• Dwelly is building the AI operating system for residential lettings. Its growing network of agencies provides its AI with real-world data, continuous feedback, and control over complete workflows, making exceptional service the standard for landlords and tenants. Today, Dwelly operates more than 15,000 properties and $470 million in GMV, making it one of the UK’s ten largest lettings operators. The company has raised $263 million.
• We’re a fast-growing, product-focused company, backed by top-tier investors and led by a team with deep experience in real estate, technology, and operations.
• We are looking for a Backend Engineer with strong applied ML experience to build production systems that extract, enrich, summarise and structure information from emails, documents and other unstructured data.
• This is not a pure data science or research role. It is a production engineering role focused on building reliable Python backend services around NLP, retrieval and LLM-powered workflows.

Задачи

• Build systems that extract structured data from emails, documents and other unstructured sources
• Enrich migrated client, landlord, tenant and property records with useful information from communication history
• Develop solutions that summarise a client’s full email history and surface the most relevant context inside Dwelly
• Build production NLP / ML-backed backend services that work reliably on messy real-world data
• Improve retrieval and ranking systems using approaches such as RAG, BM25, embeddings, hybrid search and reranking
• Define quality metrics, evaluation datasets and feedback loops for extraction, summarisation and retrieval systems
• Build Python backend services and APIs using frameworks such as FastAPI, Django, Flask or similar
• Integrate ML and LLM workflows into production systems with clear error handling, observability and maintainability
• Work closely with engineering, product and operations teams to turn real business problems into scalable automation systems

Требования

• Strong Python backend engineering experience
• Experience with API frameworks such as FastAPI, Django, Flask or similar
• Production experience with NLP, ML, information extraction, retrieval, ranking or summarisation systems
• Ability to take research ideas or prototypes into production
• Strong understanding of evaluation, metrics and quality measurement for ML / LLM systems
• Practical experience with retrieval systems such as RAG, BM25, embeddings, hybrid search or reranking
• Comfortable working with messy, ambiguous or incomplete real-world data
• Ability to build reliable services around ML workflows, including monitoring, testing and failure handling
• Good understanding of LLM limitations, hallucination risks and safe user-facing AI
• Strong ownership mindset and ability to work independently in ambiguous product areas

Будет плюсом

• Experience building AI or LLM agents
• Experience with document understanding, email parsing, entity extraction or CRM enrichment
• Experience with LLM evaluation, prompt/version management or human-in-the-loop review workflows
• Experience with vector databases or search infrastructure
• DevOps or CI/CD experience for deploying ML-backed services
• Experience testing ML systems on complex production datasets
• Experience with typed programming languages such as TypeScript, Java, C#, C++, Kotlin, Scala or similar
• What Success Looks Like
• Useful information can be extracted from emails and documents with measurable quality
• Client communication histories can be summarised safely, clearly and with relevant context
• Retrieval and ranking systems improve over time through evaluation and feedback
• ML and LLM workflows are reliable, observable and production-ready
• Operations and product teams can trust the outputs and understand when human review is needed
• Unstructured data from acquired agencies becomes usable inside Dwelly faster and with less manual work

Условия

• Fully remote role
• Competitive compensation based on experience and impact
• Opportunity to work on high-leverage automation systems at the intersection of backend engineering, applied ML, data and real operational workflows
• Competitive salary with the potential for equity options based on performance, recognising exceptional contributions to our integration success
• What is it like being a Dwell-er?
• Feel free to check out Dwelly Core Principles . That’s about what we believe in, how we operate and make decisions
• What we offer is not a fancy office or a static workplace
• Instead, this is about solving one of the world’s most complex problems in the largest consumer industry in the world: residential rentals
• More than 30% of households live in rental homes — over 5 million in the UK and more than 100 million across the EU and US
• Our mission is to improve that experience through technology, automation and operational excellence
• This is about disrupting one of the largest and most antiquated industries in the world with one of the strongest operational and technical teams in the UK and Europe
• We work hard, and we aim for extremely ambitious results
• We want people to be proud of what they’ve built and to one day look back and say: “Hell yeah, that was me that did it.”

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