Full‑Stack Software Engineer (AI‑Powered Search)

About the role

We're looking for a Software Engineer to join the team building PF Scout, Property Finder's conversational property‑search experience. Scout sits at the intersection of search, AI, and the core property marketplace, helping millions of seekers turn natural‑language intent into relevant homes and recommendations.

Key responsibilities

• Build and ship end‑to‑end features for PF Scout across TypeScript/Node.js backend services and React‑based frontend experiences.
• Own features from design through production: implementation, testing, deployment, observability, and iteration based on real user behaviour.
• Work on search and data‑intensive problems involving retrieval, ranking, aggregation, caching, and large property datasets.
• Build and evolve AI‑powered product experiences involving LLMs, tool calling, streaming, conversational state, and fallbacks.
• Collaborate closely with product managers, designers, data teams, and other engineers to turn ambiguous customer problems into simple, reliable solutions.

Required profile

• 4+ years of software engineering experience building production, consumer‑facing applications.
• Strong proficiency in TypeScript, especially Node.js backend development using frameworks such as Express.js or NestJS.
• Experience building modern frontend applications using React, Next.js, or comparable React‑based stacks.
• Hands‑on experience with at least one search, analytics, or data‑intensive system (e.g., OpenSearch/Elasticsearch, ClickHouse, PostgreSQL, Redis) and ability to debug and improve query performance.
• Experience owning software in production – understanding service behaviour, diagnosing issues, and improving reliability and performance.
• Good understanding of software engineering fundamentals including testing, maintainability, code quality, and pragmatic system design.

Required skills

• TypeScript
• Node.js
• Express.js
• NestJS
• React
• Next.js
• OpenSearch / Elasticsearch
• ClickHouse
• PostgreSQL
• Redis