Power Automate

Company Overview

The details regarding the company are not specified.

Job Summary

We are seeking a hands-on automation engineer with deep expertise in Power Automate (Cloud & Desktop) and familiarity with Generative Artificial Intelligence (GenAI) frameworks and backend integration. The ideal candidate will be responsible for building intelligent workflows, integrating GenAI APIs, and deploying scalable services using Microsoft Azure.

Responsibilities

• Design and develop automation workflows using Power Automate (Cloud + Desktop).
• Integrate GenAI APIs (such as OpenAI and Gemini) into business processes via FastAPI.
• Build backend services using FastAPI and Python to support automation logic.
• Implement Retrieval-Augmented Generation (RAG) pipelines utilizing Vector Databases (FAISS, Pinecone) and LangChain.
• Apply Object-Oriented Programming (OOP) principles to structure reusable and testable code.
• Deploy and orchestrate services using Azure Functions, Blob Storage, Key Vault, and Cognitive Services.
• Collaborate with cross-functional teams to deliver secure, scalable, and compliant solutions.

Qualifications

• Power Automate: Strong hands-on expertise in both Cloud and Desktop versions.
• GenAI Suite: Familiarity with APIs such as OpenAI and Gemini.
• FastAPI: Proficiency in REST API development and integration.
• Vector Databases: Experience with FAISS, Pinecone, and Chroma.
• Azure Services: Knowledge of Azure Functions, Blob Storage, Key Vault, and Cognitive APIs.
• Python: Used for backend logic and GenAI integration.
• Object-Oriented Programming (OOP): Applied in backend and service design concepts.

Preferred Skills

• Experience in automation within the healthcare or insurance sectors.
• Exposure to Robotic Process Automation (RPA) tools (e.g., UIPath, Automation Anywhere).
• Familiarity with prompt engineering and Large Language Model (LLM) fine-tuning.
• Knowledge of Continuous Integration/Continuous Deployment (CI/CD) pipelines and containerization technologies (Docker, Kubernetes).

Experience

Specific years of experience and types of relevant experience are not provided but a background in automation engineering is implied.

Environment

Details regarding the typical work setting, location (remote, in-office, hybrid), and any physical or environmental conditions are not specified.

Salary

The estimated salary range is not provided.

Growth Opportunities

Potential career advancement opportunities within the company are not specified.

Benefits

Details regarding offered benefits, such as insurance, paid leave, and work policies, are not specified.