AWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchTensorflowAIMachine LearningGenerative AILarge Language ModelsLangChainTensorFlowNumPyAmazon Web ServicesGCPGoogle CloudAgileCommunication
About this role
Role Overview
Design, develop, and deploy AI solutions leveraging Large Language Models (LLMs)
Build Proof of Concepts (PoCs) and evolve them into scalable MVPs and production-grade solutions
Collaborate closely with product, engineering, and data teams
Integrate AI capabilities into enterprise systems
Ensure scalability through cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
Requirements
Proven experience as an AI Engineer or Machine Learning Engineer in production environments
Strong expertise in Python (3.10+) and software engineering best practices
Hands-on experience with LLMs (GPT-like models) and Generative AI solutions
Solid experience with PyTorch (2.x) or TensorFlow (2.x)
Experience with AI orchestration frameworks such as LangChain
Strong knowledge of data manipulation tools (NumPy, pandas, Matplotlib)
Experience delivering PoCs and scaling them into production-ready MVPs
Familiarity with cloud environments (AWS, Azure, or GCP)
Strong ability to translate business requirements into technical solutions
Experience working in Agile and cross-functional teams