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, 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