Practice AI-native development: use approved GenAI coding assistants and agents to explore requirements, design solutions, generate code and tests, write documentation, and troubleshoot issues.
Partner with Operations and Policy teams to design intelligent human-in-the-loop review interfaces, leveraging generative AI assistants to speed up analyst workflows and reduce manual cognitive load.
We're looking top tier software engineers as part of a high-leverage team that ships across the entire search and retrieval stack: crawling, parsing, ML systems performance, retrieval algorithms, and new product surfaces. Past output from this team includes shipping entirely new product lines from scratch, cutting ML inference latency multiple times over, and making core infrastructure several times faster. You'll move between problem areas as the business needs it, with real end-to-end ownership from day one.
Collaborate with data scientists, AI engineers and solution architects to conceptualise solutions, support prototyping and ensure alignment with business requirements.
Support day-to-day delivery of the pilot-team programme, coordinating pilot teams and champions through submissions, approvals, workshops and showcases.
Integrate AI and automation services: Support the integration of AI models, LLM services, AI agents, and automation tools with existing enterprise applications.