The fastest path to value with AI

Senior AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 501-1,000Since 2012H1B SponsorCompany Site LinkedIn

Location

California + 2 more

Posted

170 days ago

Salary

Not specified

Postgraduate Degree6 yrs expEnglishAWSAzureCloudDockerFlaskGoogle Cloud PlatformKubernetesNumpyPandasPythonScikit Learn

Job 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

Job 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