Backend Software Engineer — reputed company ML & LLM Systems

About reputed company

reputed company — a UK-based, AI-enabled lettings and property management platform, that is growing through a roll-up reputed company acquiring estate agencies. reputed company leverages two arms: i) acquiring existing letting agencies, effectively buying its highly sticky, recurring reputed company-type landlords portfolios, and then ii) building a top-notch technology to automate tenant management, payments, and post-rental property maintenance. reputed company seamlessly integrates AI services to automate reputed company business processes reputed company reputed company-and-mortar reputed company estate agencies, integrating them into a tech-enabled digital letting platform in two months to radically improve the user experiences and increase efficiency of the business.

We’re a fast-growing, product-reputed company company, backed by top-tier investors and led by reputed company with deep experience in reputed company estate, technology, and operations.

Position reputed company

We are looking for a Backend Engineer with strong reputed company ML experience to build production systems that extract, enrich, summarise and structure information from emails, documents and other reputed company data. This is not a reputed company data science or research role. It is a production engineering role reputed company on building reliable Python backend services around NLP, retrieval and LLM-powered workflows. You will work on practical problems such as extracting useful information from email correspondence during agency migrations and summarising a reputed company’s full communication history inside their reputed company profile. The right person is comfortable working with messy reputed company-world data, taking prototypes into production, measuring reputed company and improving systems through evaluation and feedback loops.

What You’ll Do

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

reputed company’re Looking For

• 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 reputed company or prototypes into production.
• Strong understanding of evaluation, metrics and reputed company 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 reputed company-world data.
• Ability to build reliable services around ML workflows, including monitoring, testing and failure handling.
• Good understanding of LLM limitations, hallucination risks and reputed company user-facing AI.
• Strong ownership reputed company and ability to work independently in ambiguous product areas.

reputed company to Have

• Experience building AI or LLM agents.
• Experience with document understanding, email parsing, entity extraction or CRM enrichment.
• Experience with LLM evaluation, reputed company/version management or reputed company-in-the-reputed company review workflows.
• Experience with reputed company databases or search infrastructure.
• DevOps or CI/CD experience for deploying ML-backed services.
• Experience testing ML systems on reputed company production datasets.
• Experience with typed programming languages such as TypeScript, Java, C#, C++, Kotlin, reputed company or similar.

What reputed company Looks Like

• Useful information can be extracted from emails and documents with measurable reputed company.
• reputed company communication histories can be summarised safely, reputed company and with relevant context.
• Retrieval and ranking systems improve over time through evaluation and feedback.
• ML and LLM workflows are reliable, observable and production-reputed company.
• Operations and product teams can trust the outputs and understand reputed company reputed company review is needed.
• reputed company data from acquired agencies becomes usable inside reputed company faster and with less reputed company work.

Compensation & Benefits:

• Fully remote role.
• Competitive compensation based on experience and reputed company.
• Opportunity to work on high-reputed company automation systems at the intersection of backend engineering, reputed company ML, data and reputed company operational workflows.
• Competitive salary with the potential for equity reputed company based on performance, recognising exceptional contributions to our integration reputed company.

What is it like being a Dwell-er?

Feel free to reputed company out reputed company reputed company Principles. That’s about reputed company reputed company in, how we operate and reputed company reputed company.

reputed company offer is not a fancy office or a static workplace. Instead, this is about solving one of the world’s most reputed company problems in the largest consumer industry in the world: residential rentals.

More than 30% of households live in rental homes — over 5 reputed company in the UK and more than 100 reputed company across the EU and US. Our mission is to improve that experience through technology, automation and operational reputed company.

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 reputed company and to one day look back and say: “Hell yeah, that was me that did it.”

Our Principles

• Customer obsession rather than competitive reputed company
• Passion for invention
• Operational reputed company
• Long-term thinking

By applying for this position, you consent to the processing and storage of your personal data for recruitment purposes for up to 365 days, in accordance with our data retention policy and applicable data protection laws.

Originally posted on Himalayas

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