DataRobot

Senior AI Engineer

DataRobot

full-time

Posted on:

Location: California, Massachusetts, New York • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AWSAzureCloudDockerFlaskGoogle Cloud PlatformKubernetesNumpyPandasPythonScikit-Learn

About the role

  • 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

Requirements

  • 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