• Ship modernization work at a pace that surprises people. • Use AI agents (Cursor, Claude Code, Codex) to blow through framework upgrades, refactors, API extraction, test scaffolding, and documentation - while catching hallucinations and preventing regressions before they hit a PR. • Build reusable playbooks the team can actually follow: prompt templates, repo-level agent instructions, migration checklists, review heuristics, and clear "definition of done" standards for AI-assisted changes. • Modernize a real .NET + SQL Server stack into something you'd be proud of. • Own it like it's yours - especially because this is healthcare. Build with security and privacy as defaults, not afterthoughts. Put real quality guardrails in place: automated tests that actually catch things, CI that blocks bad changes, structured logging, observability that tells you what's happening before users do. • Work with real humans to ship things that matter. Partner with analysts, stakeholders, and other engineers to turn business problems into working software - not just technically correct software, but software that actually solves the problem.

• Collaborating within your squad to build and iterate on commerce features that drive measurable business impact across self‑serve and enterprise customers. • Contributing to platform scaling initiatives while improving reliability and performance in user critical flows. • Meeting regularly with Product and Design to fine tune requirements, define MVPs, and instrument experiments that validate value quickly. • Attending agile ceremonies to help your team plan out their work and get it done with predictable delivery. • Working across squads to improve engineering practices and evolve shared monorepo tooling and service boundaries. • Reviewing implementation plans and pull requests from your peers with a focus on simplicity, maintainability, and incremental delivery. • Contributing to a high trust, professional casual culture grounded in respect and ownership. • Using AI assistants thoughtfully to scaffold code, generate tests, draft documentation, analyze logs, and accelerate experiments. Choosing when not to use AI based on risk, privacy, and correctness considerations.

• Design, develop, and support clinical trial software with emphasis on patient safety and integrity of clinical study data • Review product requirements and verify that all requirements can be implemented • Assist with the creation of technical design and implementation documentation • Design and code software applications and fix defects • Provide unit testing coverage for delivered code • Work with others to ensure timely delivery of high-quality code • Manage software deployment into all environments and complete all required documentation • Assist support team with troubleshooting and resolution of production issues • Perform other related duties as required

• Building, shipping, and supporting AI-powered tools and automations for 923 AI Automation clients. • The role sits at the intersection of product thinking and AI engineering — closer to “product manager who builds confidently with modern AI development tools” than “AI research engineer.” • You'll work with tools like Claude Code, the Anthropic API, and AI-augmented low-code platforms to deliver real systems to real clients, end-to-end. • You'll probably enjoy this role if you: - Like framing complex, ambiguous problems and working through them to clear solutions - Enjoy ideating, building, and seeing things ship — then explaining clearly how and why they work - Prefer direct interaction with a mentor over distant management - Want autonomy and trust, not oversight for its own sake - Want to understand why you're building something, not just what to build - Are energised by seeing the whole picture — how a project connects to a client's business, a team's operations, and an emerging practice • You'll probably find this role frustrating if you: - Prefer to work deep in code with minimal client or stakeholder contact — the role sits in the middle of client delivery, not behind it - Are looking for a role with highly structured processes, detailed specifications, and predictable work — this department is actively shaping its own way of working, and the person in this seat will be part of that shaping • This is the intersection of product thinking and AI engineering.