• Scale infrastructure using repeatable, environment-aware patterns for safe staging, preview, and production rollouts. • Enhance reliability by defining service health metrics, improving alerting, and leading incident response + postmortems. • Strengthen access hygiene by championing least-privilege defaults, secret rotation, and cleaner permission boundaries. • Improve observability by building actionable dashboards and alarms, and creating light daily/weekly system health signals to keep the team oriented. • Improve release safety through progressive delivery and automated post-deploy checks. • Boost developer velocity by optimizing CI/CD workflows and documentation. • Support communications by incorporating a lightweight status/incident update path customers can trust. • Lead foundational projects as our analytics and batch workloads grow – setting standards for scalability and foundational developer resources.

• Architect and build high-performance AI agent infrastructure from the ground up • Design and implement on-chain coordination systems (funding mechanisms, governance, research incentives, token flows) • Build fault-tolerant backend services for agent orchestration, data pipelines, and integration with external systems (cloud labs, bio-databases, CROs) • Optimise system performance, throughput, and reliability under real-world research workloads • Lead technical decisions around system design, data models, and scaling strategy • Collaborate closely with product and science teams to translate research requirements into production systems • Establish best practices for code quality, testing, observability, and incident response • Mentor other engineers as the team grows

• As a Forward Deployed Engineer, you will help build, implement, and deploy agentic platforms within client environments. • Your role will focus on building and deploying scalable AI-driven solutions, enabling organisations to operationalise LLM-powered agents across products, processes, and teams. • You will work closely with client stakeholders, technical leaders, and delivery teams to build, and roll out agentic capabilities that integrate seamlessly with existing enterprise systems and frameworks.

• Research and implement anti-bot evasion techniques. • Reverse engineer bot detection systems. Understand how they work, then bypass them. • Work with browser fingerprinting: canvas, WebGL, audio, fonts, navigator properties, and more. • Debug TLS fingerprinting (JA3, JA4, HTTP/2 fingerprints). • Optimize Playwright/Puppeteer configurations for stealth. • Analyze network traffic to understand detection mechanisms. • Build internal tools for testing and validating evasion techniques. • Stay ahead of the latest developments in bot detection. • Document findings and share knowledge with the team.