Develop AI agents and copilots using Gemini API and Copilot Studio.
Connect AI agents with data sources and tools via REST APIs.
Implement Retrieval-Augmented Generation (RAG) pipelines for context-aware results.
Prompt Engineering: Craft, test, and iterate prompts to guide agent behavior safely.
Full lifecycle development from concept to deployment and maintenance.
Collaborate with engineers and product managers to translate requirements into capabilities.

🎯 Requirements

Bachelor's degree in CS, Software Engineering, or related field.
2-4 years of professional software development experience.
Strong Python skills and solid OOP understanding.
At least 1 year of hands-on experience with LLMs.
Solid understanding of LLM concepts: prompt engineering, embeddings, function calls.
Experience consuming and interacting with REST APIs.

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