Publicada el 11 junio
Misión del puesto
work schedule
other
environmental conditions
office
position overview
our collaborative environment encourages hard‑working individuals to innovate and succeed.
key responsibilities
- api integration: develop and manage integrations with third‑party systems using copilot studio and power automate.
- azure & power platform product utilization: develop, deploy, and maintain solutions using microsoft technologies such as power automate, azure functions, azure ai foundry, azure openai, azure bot framework, azure logic apps, and cognitive services to build a robust chatbot solution.
- data storage architecture: design, connect, and manage diverse data sources such as relational databases, vector databases, document repositories, and sharepoint to support ai solutions.
- ai and llm utilization: leverage large language models to optimize microsoft copilot’s functionality for natural language understanding and task execution.
- ux/ui design: use markdown, html, and css to customize the look and feel of chatbot messages and chatbot user interface.
- collaboration: work closely with hr partners, end-users, and other developers to define requirements and deliver solutions aligned with business needs.
required skills and qualifications
- experience in developing solutions with microsoft copilot, power platform, azure ai foundry, azure functions, azure logic apps.
- strong knowledge of api development, integration, and management.
- experience integrating systems using restful apis, soap, and openauth.
- proficiency in programming and scripting languages such as c#, python, javascript, or powershell.
- strong understanding of data repositories, search, and indexing.
- excellent communication and teamwork skills.
preferred qualifications
- experience with microsoft copilot, power platform, azure ai foundry, azure functions, azure logic, or the microsoft bot framework.
- familiarity with generative ai workflows and tools .
- experience working in a development team using the agile methodology .
- microsoft azure certifications such as azure data fundamentals, azure ai fundamentals, azure ai engineer, azure data engineer, azure administrator, azure developer, or azure solutions architect.
- knowledge of devops practices and ci/cd pipelines.
- background in crafting conversational ai or virtual assistants.
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