Software Engineer

About Dwelly

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.

Position Summary

We’re looking for a Staff Software Engineer to join one of our core domain teams — Tenant Find, Property Management, or Payments. This is a high-impact role at the intersection of business, product, architecture, and hands-on execution. You will be expected to understand how the domain works in practice, identify the highest-leverage opportunities for automation, shape the solution, and drive it through to production. You will work in a small, high-ownership team where exceptional engineers can have disproportionate impact. This role requires advanced day-to-day use of AI and LLMs as part of exploring problems, evaluating solution paths, accelerating implementation, and designing automation systems.

We’re hiring remotely across the UK, Ireland, and European time zones. Candidates should be based within these regions/time zones to enable effective collaboration with the wider team.

Key Responsibilities

1. Deep domain understanding
   Gain a deep understanding of your assigned domain (Tenant Find, Property Management, or Payments) and identify the highest-leverage opportunities for automation. Understand real operational workflows, including legacy processes, manual work, local exceptions, and agency-specific variations. Determine what should be standardized and what should remain flexible while designing robust, scalable solutions.
2. Automation and AI-driven systems
   Design, implement, and maintain systems that automate manual processes across acquired agencies. Apply advanced AI and agentic techniques pragmatically to improve decision quality, operational efficiency, and team leverage. Ensure automation reduces operational load, improves reliability, and enhances business margins.
3. Product and architectural collaboration
   Partner closely with product managers to frame problems, define solutions, and prioritize initiatives. Make architectural decisions grounded in operational reality rather than abstract models. Contribute to moving the system and the people around it toward better outcomes, balancing flexibility, scalability, and reliability.