Staff AI Software Engineer

🕒 vor 2 Monaten

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Drata

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

Gegründet 2020

🔒 Cybersecurity

📋 Compliance

☁️ SaaS

💰 €100.000.000 Series B im 2021-11

Cybersecurity • Compliance • SaaS

Drata ist eine KI-native Plattform für Vertrauensmanagement und kontinuierliche Compliance, die Governance-, Risiko- und Compliance-(GRC)-Prozesse für Unternehmen automatisiert. Sie zentralisiert die Beweissammlung, die Überwachung von Kontrollen, die Verfolgung von Anbieter- und internen Risiken sowie die KI-gesteuerte Automatisierung von Fragebögen, um Audits, Sicherheitsprüfungen und Verkaufszyklen zu beschleunigen. Drata integriert sich in viele Systeme, unterstützt mehrere Compliance-Rahmenwerke (SOC 2, ISO 27001, HIPAA, GDPR, NIST, FedRAMP, usw. ) und richtet sich an Startups bis hin zu großen Unternehmen, die sicher skalieren und Vertrauen nachweisen möchten.

Beschreibung

• Design and own production AI systems end-to-end (LLM pipelines, RAG, reranking, vector stores, orchestration) • Make thoughtful build/don’t-build decisions based on real data • Evolve our AI stack over time, from model infrastructure to workflow orchestration to evaluation tooling • Design evaluation systems that measure retrieval quality, reasoning accuracy, end-to-end performance • Build tooling that helps the team iterate confidently and catch regressions early • Define how we measure success across the platform • Analyze production outputs to identify failure patterns and root causes • Turn complex findings into clear technical recommendations • Know when to push forward and when to pause based on data • Be the go-to technical voice for AI architecture decisions • Influence standards for how LLM systems are built, tested, deployed, and monitored • Mentor senior engineers through design reviews and hands-on collaboration • Partner with product and compliance teams to translate domain complexity into clean technical solutions • Ship systems optimized for latency, cost, reliability, and auditability • Embed safety guardrails, confidence thresholds, and human-in-the-loop workflows • Ensure outputs are traceable and explainable

🎯 Anforderungen

• 10+ years of software engineering experience, including 3+ years working directly on ML/AI systems • Real ownership of production LLM systems • Deep experience with RAG, embeddings, reranking, vector databases (Pinecone, FAISS, Chroma, etc.), and agentic workflows • Experience designing evaluation frameworks and using quantitative analysis to improve system performance • Strong Python skills (TypeScript is a plus) • A track record of making architectural decisions that shape team direction • Experience operating AI systems in production - observability, reliability, cost tradeoffs • The ability to break down ambiguous, high-stakes problems into structured investigations • Clear communication skills and comfort working cross-functionally

🏖️ Vorteile

• Up to 100% employer-paid premiums for medical, dental, and vision coverage for employees and their dependents • Comprehensive wellness benefits and healthcare concierge services • 401(k) plan with company-paid life and disability insurance • Tax-advantaged spending accounts and discounted voluntary offerings • Paid Parental Leave policy after six months of employment • Access to Kindbody fertility and family-building benefits • Generous annual stipends for professional and personal development • Flexible vacation policy and paid holidays