Senior AI Engineer

Job not on LinkedIn

🕒 September 26, 2025

🏄 California, New York, +1 more states – Remote

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

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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DataRobot

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

DataRobot is a company that provides an AI platform and applications designed to integrate into core business processes. The company offers Enterprise AI Suite, AI Apps, and AI Platform services, which include Generative AI, Predictive AI, AI Governance, and AI Observability. DataRobot aims to help businesses develop, deliver, and govern AI solutions at scale, supporting industries such as energy, financial services, healthcare, manufacturing, and the public sector. With a focus on maximizing business impact and minimizing risk, DataRobot provides solutions that expedite deployment and secure numerous predictions each day.

📋 Description

• 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

🏖️ Benefits

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