AI Engineer

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Description

, LLMs, vision, speech, language APIs) from Azure, AWS, and GCP Develop, optimize, and test prompts for LLMs and generative AI Prepare, preprocess, and validate data for use with platform AI services Deploy and monitor AI-powered solutions using cloud-native tools Collaborate with architects and platform engineers to deliver AI solutions Document solution configurations, code, and operational procedures Troubleshoot and resolve issues in AI solutions Education – Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent professional experience) Cloud platform certifications (Azure AI Fundamentals, AWS Certified AI Practitioner) are beneficial Related Work Experience 2-5 years of software development experience 1+ year of experience integrating cloud APIs or services Experience with Python and REST APIs Familiarity with at least one cloud platform (Azure, AWS, or GCP) Knowledge Comprehensive knowledge of Azure AI services (Azure OpenAI, Cognitive Services, Speech, Vision) Comprehensive knowledge of AWS AI services (Bedrock, SageMaker endpoints, Rekognition) Comprehensive knowledge of GCP AI services (Vertex AI, Cloud AI APIs) Advanced knowledge of prompt engineering techniques and optimization Knowledge of data preprocessing and validation Understanding of API design and integration patterns Basic knowledge of cloud security and compliance Skills – Collaboration: Works effectively with architects, platform engineers, and business users Problem Solving: Breaks down AI requirements into manageable configurations Communication: Clearly documents solutions and technical decisions Continuous Learning: Stays current with platform AI capabilities and latest practices

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