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
1–3 years of experience in software engineering, automation development, or AI engineering
Hands-on experience with at least two enterprise AI platforms (Preferred): 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

Junior AI and Automation Engineer

Key skills