Senior AI Engineer

<p><strong>Here’s a summary of the role:</strong>  </p> <div> <p>You are a seasoned AI engineer ready to <strong>design, ship, and own production‑grade agentic systems</strong> that solve real enterprise problems. At Diligent, you’ll take technical ownership of <strong>Compliance in a Box (CiaB)</strong> — a flagship AI platform reshaping how organisations manage governance, risk, and compliance at scale.</p> <p>You’ll architect and evolve the <strong>AI reasoning layer and agent orchestration framework</strong> at the heart of the product, shaping how multiple intelligent agents collaborate, reason, and operate safely in high‑stakes, regulated environments. This is hands‑on, deeply technical work — from system design to prompt strategy to evaluation — not research theatre.</p> <p>Partnering closely with product, security, and platform teams, you’ll make high‑impact decisions, move quickly, and see your work land in production fast. If you’re motivated by <strong>ownership, technical depth, and building AI systems that actually matter</strong>, this is your chance to set the standard for enterprise‑ready agentic AI.</p> </div> <p><strong>Here’s a breakdown of what you’ll do (not all of it, just the important stuff):</strong></p> <ul> <li>Build and maintain the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework) — the technical core of our Compliance in a Box product</li> <li>Design and implement a <strong>7-agent architecture</strong>: OnboardingAgent, ScopeAgent, StandardsMapper, RiskQuantifier, PolicyAnalyzer, InfrastructureAuditor, and ComplianceMonitor</li> <li>Implement Human-in-the-Loop (HITL) gates across agent workflows, and tune prompts and confidence scoring for Bedrock-hosted models</li> <li>Own the agent evaluation framework — measuring quality, latency, and reliability to keep CiaB performant and production-ready</li> <li>Collaborate with cross-functional teams to deliver CiaB feature-complete by Week 7 — your work ships fast and your impact is visible from day one</li> </ul> <p><strong>These are the essentials you’ll need to get an interview:</strong></p> <ul> <li>A degree in Computer Science, Software Engineering, or a related IT discipline</li> <li>Demonstrable understanding of AI/ML concepts, including LLMs and agent-based systems</li> <li>Ability to write clean, well-tested code — Python preferred</li> <li>Strong experience of shipping real AI products - not chatbots!</li> <li>Strong communication skills and a collaborative mindset</li> </ul> <p><strong>It would be great if you had these to, but we’ll support you if you don’t:</strong></p> <ul&gt