Principal Engineer, AI

🕒 Junho 5

🔔 Pennsylvania – Remoto

🔔 Pennsylvania – Remote

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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Anaplan

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2006

💼 Consultoria

📦 Logística

🏥 Saúde

💰 Secondary Market em 2018-03

Consulting • Logistics • Healthcare

A Anaplan é um fornecedor líder de soluções de planejamento conectado e modelagem de negócios. A plataforma permite que as organizações transformem seus processos de tomada de decisão usando planejamento inteligente, gestão de dados e insights preditivos. A Anaplan atende a uma ampla gama de indústrias, incluindo bens de consumo, serviços financeiros e manufatura, oferecendo soluções personalizadas que aumentam a produtividade e impulsionam a transformação digital. Reconhecida pelo Gartner, Forrester e IDC, a Anaplan é um parceiro de confiança para empresas que buscam melhorar a colaboração e ganhar uma vantagem competitiva por meio de ferramentas de planejamento ágeis e abrangentes.

Descrição

• Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments. • Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments. • Integrate and optimize LLMs for specific business planning use cases, including prompt engineering and RAG implementation. • Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language • Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics • Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations • Optimize model inference pipelines for performance, cost, and scalability in production environments • Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behavior. • Collaborate with data scientists to productionise ML models and forecasting algorithms

🎯 Requisitos

• Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. • End-to-end exposure in model lifecycle development, including extensive experience in training and deploying ML models in production environments. • Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. • Experience in fine-tuning LLMs for domain-specific enterprise applications. • Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments. • Experience with agentic frameworks and autonomous agent architectures. • Proficiency in Python and modern software development practices (testing, code review, CI/CD). • Proven track record of delivering complex technical projects on time with high quality.

🏖️ Benefícios

• DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. • Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper.