Software Engineer – Agentic AI / Real Estate

Generative Group; Greater London; Hybrid; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Equity

Annual bonus

Private health insurance

Gym membership

Free meals in office

Job summary

Generative Group in London is seeking a Software Engineer to build and operate production systems that power real-world property workflows. You will contribute across service design, implementation, testing, deployment, observability and ongoing improvement.

You will design clear service boundaries, build reliable APIs and event-driven integrations, work with queues and safe retries, model data, ensure secure live systems, write tests and own code from concept to production.

Qualifications

• Production backend engineering experience and a degree in Computer Science or a relevant technical field.
• Fluency in a robust backend language and framework, with the ability to ramp up quickly in TypeScript.
• Strong understanding of system design, APIs, concurrency, authentication, data modelling, transactions and failure handling.
• Experience with testing, live schema changes, event-driven systems and shared codebases.
• A detail-oriented, clear, collaborative, adaptable and ownership-driven approach.
• Ability to use AI-assisted development responsibly while understanding and owning all shipped code.

Responsibilities

• Design clear service boundaries and build reliable APIs and event-driven integrations.
• Work with queues, safe retries and data modelling for robust live systems.
• Write tests alongside code and own features from concept through production.
• Collaborate with engineers and communicate trade-offs to technical and non-technical colleagues.

Skills

Backend engineering

TypeScript

System design

APIs

Event-driven

Testing

Deployment

Education

Bachelor's degree in Computer Science or relevant field

Tools

Node.js

AWS

Docker

PostgreSQL

Git

Job description

About the company

Our client is building an agentic AI platform for the rental property market, with the ambition of making homes and rental operations increasingly autonomous. Its software manages property-related activities end to end, including financial processes, scheduling, bookings, access and operational logistics.

The company is a small, engineering-led team experiencing rapid growth and tackling complex technical challenges across backend services, AI, data, cloud infrastructure and event-driven systems. Its culture values ownership, first-principles thinking, technical excellence, clear communication, collaboration, adaptability, continuous learning and meticulous attention to detail.

What the job entails

As a Software Engineer, you will build and operate production systems supporting real users and important property and financial workflows. You will contribute across service design, implementation, testing, deployment, observability and ongoing improvement.

Your responsibilities will include designing clear service boundaries, building reliable APIs and event-driven integrations, working with queues and safe retries, modelling data, managing transactions and evolving live systems securely. You will write tests alongside your code, work within a shared trunk-based development process and take ownership from initial concept through to production.

You will collaborate closely with other engineers and communicate technical trade-offs clearly to both technical and non-technical colleagues. The role offers exposure to AI agents, money movement, operational logistics, cloud infrastructure and distributed systems in a fast-moving environment.

Key requirements / What we look for

• Production backend engineering experience and a degree in Computer Science or a relevant technical field.

• Fluency in a robust backend language and framework, with the ability to ramp up quickly in TypeScript.

• Strong understanding of system design, APIs, concurrency, authentication, data modelling, transactions and failure handling.

• Experience with testing, live schema changes, event-driven systems and shared codebases.

• A detail-oriented, clear, collaborative, adaptable and ownership-driven approach.

• Ability to use AI-assisted development responsibly while understanding and owning all shipped code.

Compensation & Benefits

• Meaningful equity and an annual bonus.

• Private health insurance and paid gym membership.

• Three meals per day in the office.

• Hybrid working arrangement in London.