Staff AI Software Engineer

🕒 Março 28

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Drata

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2020

🔒 Cibersegurança

📋 Conformidade

☁️ SaaS

💰 $100.000.000 Series B em 2021-11

Cybersecurity • Compliance • SaaS

A Drata é uma plataforma de automação de segurança e conformidade que monitora e coleta continuamente evidências dos controles de segurança de uma empresa, otimizando fluxos de trabalho para garantir prontidão para auditorias. A plataforma oferece soluções para startups, empresas em crescimento e grandes corporações escalarem e aprimorarem seus programas de conformidade. Abrange uma variedade de estruturas, incluindo SOC 2, ISO 27001, HIPAA, GDPR e FedRAMP. A Drata oferece integrações com vários sistemas e promove automação e personalização na gestão de processos de conformidade, ajudando empresas a manterem a conformidade sem esforço através de automação adaptativa e integrações profundas com ecossistemas de TI existentes.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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