Staff AI Software Engineer

🕒 il y a 2 mois

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Drata

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2020

🔒 Cybersecurity

📋 Conformité

☁️ SaaS

💰 €100 000 000 Series B en 2021-11

Cybersecurity • Compliance • SaaS

Drata est une plateforme de gestion de la confiance et de conformité continue, native de l'intelligence artificielle, qui automatise les processus de gouvernance, de risque et de conformité (GRC) pour les entreprises. Elle centralise la collecte des preuves, la surveillance des contrôles, le suivi des risques internes et des fournisseurs, et l'automatisation des questionnaires pilotée par l'IA pour accélérer les audits, les examens de sécurité et les cycles de vente. Drata s'intègre à de nombreux systèmes, prend en charge plusieurs cadres de conformité (SOC 2, ISO 27001, HIPAA, RGPD, NIST, FedRAMP, etc. ), et cible les startups ainsi que les grandes entreprises cherchant à évoluer en toute sécurité et à prouver leur fiabilité.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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