Build, configure, and optimize AI agents across Glean, Copilot, and AWS Bedrock.
Implement RAG patterns, prompt engineering, and structured output workflows where required.
Integrate enterprise data sources (SharePoint, Dynamics, Confluence, ADO, Fabric) into AI solutions.
Develop and maintain reusable components, APIs, and automation modules for AI-driven use cases.
Write clean, maintainable code using modern programming languages (Python, TypeScript/JavaScript, C#, or similar).
Design and develop microservices, APIs, and serverless functions to support AI and automation workflows.
Build automations using enterprise tools (e.g., Power Automate, custom APIs, scripting).
Follow engineering best practices including CI/CD, version control, unit testing, and documentation.
Implement and maintain integrations between AI platforms and enterprise systems.

Bachelor’s degree in computer science, Engineering, Information Systems, or related field.
3–5 years of experience in software engineering, automation development, or AI engineering.
Hands-on experience with at least two enterprise AI platforms: Glean AI , Microsoft Copilot , AWS Bedrock , or equivalent LLM frameworks.
Strong programming skills in one or more modern languages (Python, JavaScript/TypeScript, C#, Java, Go, etc.).
Experience building APIs, integrating data sources, and working with cloud services (Azure, AWS).
Familiarity with version control (Git), CI/CD pipelines, and modern DevOps practices.
Ability to analyze complex technical problems and deliver high-quality solutions.

AI Engineer – Automation

Key skills