About the job LLM Engineer (Microsoft Copilot Studio Specialist)
Job Title: LLM Engineer (Microsoft Copilot Studio Specialist)
Location: Remote – Latin America Preferred
Type of Contract: Full-Time | Remote | Contractor
Salary Range: Market Rates
Language Requirements: English (Professional/Fluent)
We are seeking a skilled LLM Engineer (Microsoft Copilot Studio Specialist) with strong experience in Generative AI and the Microsoft Power Platform to join our growing team. You will play a key role in designing, building, and deploying enterprise-grade AI assistants using Microsoft Copilot Studio and Azure AI services. Your work will directly impact how the organization automates workflows, interacts with data, and delivers AI-driven insights across the business.
Key Responsibilities
- Design, build, and deploy end-to-end conversational agents using Microsoft Copilot Studio, including multi-turn conversations, topic orchestration, and entity extraction.
- Architect and implement Retrieval-Augmented Generation (RAG) solutions grounded in enterprise data sources such as SharePoint, Dataverse, and SQL while enforcing security and access controls.
- Integrate Copilots with internal and external systems using Power Automate, APIs, and connectors to enable action-based AI workflows.
- Develop, test, and optimize system and user prompts to ensure accurate, safe, and context-aware LLM responses.
- Monitor, evaluate, and improve Copilot performance using analytics, user feedback, and structured testing to reduce hallucinations and failure modes.
- Build and manage Power Platform plugins, AI prompts, and extensions across the Microsoft 365 ecosystem.
Must-Have Qualifications
- 3+ years of experience in AI engineering or software engineering, with hands-on experience working with LLM-based solutions.
- Strong proficiency with Microsoft Copilot Studio, Power Automate, and Dataverse.
- Experience using Azure OpenAI Service, including model deployment, API usage, and governance.
- Solid understanding of LLM concepts, prompt engineering, token management, and Responsible AI principles.
- Proficiency in Python or JavaScript for custom logic, integrations, and API development.
- Experience working with vector databases, embeddings, or AI search/indexing strategies.
- Ability to translate ambiguous business requirements into structured AI-powered workflows.
Preferred Qualifications
- Microsoft certifications such as PL-200, PL-100, or AI-102.
- Experience with Azure AI Studio for model evaluation, tuning, or experimentation.
- Familiarity with Microsoft 365 Copilot extensibility and enterprise deployment patterns.
- Background in integrating AI solutions within regulated or security-conscious environments.