We are looking for a Senior Software Engineer to build data-intensive and AI-powered capabilities for a search and digital intelligence platform.

This role sits at the intersection of backend engineering, data engineering, search technologies and applied AI. You will work with large and diverse datasets, build reliable data pipelines and services, and develop AI-powered capabilities that turn complex data into useful insights and actions.

What You'll Work On

Design and build scalable backend services for data-intensive applications Build and maintain pipelines for ingesting, processing, cleaning and normalising large datasets Develop systems for analysing and retrieving information across structured and unstructured data Build AI-powered features and agentic workflows using modern LLM technologies Integrate with external APIs, data providers and third-party platforms Design data models and storage architectures that support large-scale historical and analytical workloads Improve system reliability, observability and performance as data volume grows Work closely with product and domain specialists to translate real-world workflows into scalable software solutions Evaluate new technologies and approaches in search, AI and data engineering

What We're Looking For

Strong engineering fundamentals Strong backend engineering experience, preferably with Python or similar languages Experience designing and operating production systems Strong understanding of APIs, databases, distributed systems and asynchronous processing Experience working with large datasets and data pipelines Comfortable with data cleaning, transformation, deduplication and aggregation

Applied AI experience Hands-on experience building production applications using LLMs Experience with areas such as tool calling, structured outputs, RAG, AI agents or multi-step AI workflows Understanding of how to evaluate, monitor and improve AI-powered systems Able to distinguish between a prototype that works and a production system that can be trusted

Search & information systems Experience in one or more of the following would be highly valuable: Search engines or information retrieval Web crawling or large-scale web data processing Elasticsearch / OpenSearch or similar technologies Search ranking, relevance or query analysis Search-related APIs and datasets Technical SEO or search analytics Nice to Have Experience working with digital marketing or search-related products Familiarity with SEO and modern search behaviour Experience with cloud data warehouses or analytical databases such as BigQuery, ClickHouse, Snowflake or similar Experience building data products, analytics platforms or intelligence tools Experience designing systems involving multiple AI agents, tools or workflows Interest in how AI is changing the way people discover and retrieve information

What Success Looks Like You are someone who can take an ambiguous data or intelligence problem, understand the underlying business requirement, and design a robust technical solution.

You should be comfortable moving between system architecture, data pipelines, backend development and applied AI, rather than specialising exclusively in one layer.

We value engineers who question assumptions, investigate problems deeply, take ownership of outcomes and can make pragmatic engineering decisions without over-engineering.

We are looking for someone capable of owning significant technical areas independently and helping shape engineering decisions as the platform evolves.