Senior AI Engineer

Vaga não está no LinkedIn

🕒 Setembro 26, 2025

🏄 California, New York, +1 estados a mais – Remoto

🏄 California – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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DataRobot

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2012

🤖 Inteligência Artificial

🏢 Corporativo

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

A DataRobot é uma provedora líder em aplicações e plataformas de IA projetadas para se integrar aos processos fundamentais dos negócios. Suas soluções permitem que as equipes desenvolvam, entreguem e administrem IA generativa e preditiva em grande escala. As aplicações de IA da DataRobot são feitas sob medida para impulsionar a inovação e o impacto em diversos setores, incluindo energia, serviços financeiros, saúde, manufatura e setor público. A empresa foca em maximizar o impacto nos negócios enquanto minimiza riscos com recursos de governança integrados e ferramentas colaborativas para equipes de IA.

Descrição

• Partner with Customers: Collaborate closely with customer stakeholders to understand business goals, identify high-impact use cases, and define technical requirements for AI solutions • Build & Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools, including agentic AI, generative AI (chatbots, RAG), and predictive ML models • Develop agents using frameworks such as Langgraph, CrewAI, Llama Index and deploy at scale • Serve as a Technical Expert: Act as subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives • Deliver Value: Ensure solutions are robust, scalable, and directly contribute to customers' business objectives • Communicate & Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives

🎯 Requisitos

• Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role • Proven track record of deploying AI solutions or applications into production • Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy) • Practical experience with Generative AI technologies, including Large Language Models (LLMs) and vector databases • Solid understanding of the end-to-end agentic AI lifecycle and experience with frameworks like Langgraph or CrewAI • Experience building custom GenAI chatbots and Retrieval-Augmented Generation (RAG) systems • Experience developing predictive ML models for forecasting, churn prediction, fraud detection • Experience developing and deploying applications and building REST APIs (e.g., Flask, FastAPI) • Proficiency with containerization using Docker and experience with Kubernetes (K8s) • Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints • Hands-on experience with a major cloud platform (AWS, Azure, or GCP) • Familiarity with the DataRobot AI Platform is a strong plus • Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance • Experience in a client-facing or consulting role with exceptional verbal and written communication skills • Comfortable leading technical discussions and presenting to diverse audiences • Master’s Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field

🏖️ Benefícios

• Medical, Dental & Vision Insurance • Flexible Time Off Program • Paid Holidays • Paid Parental Leave • Global Employee Assistance Program (EAP) • Competitive pay and benefits