AI Engineer

• Independently integrate and configure AI services (e.g., 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, Sage

Maker 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