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Manager - Python
Fractal
Mumbai, IND
Full-time
Senior · 4+ years experience
Onsite
Discovered 3 weeks ago
PythonPower PlatformPower BIPowerAppsREST APIsPower BI APIs
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PythonPower PlatformPower BIPowerAppsREST APIsPower BI APIs
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Location
- – Mumbai
Responsibilities
- Understand business requirements and translate them into automated flows/scripts, including AI-augmented workflows where LLMs add reasoning, summarization, or decision-making capability.
- Create Power Automate flows based on various triggers.
- Integrate with other apps (model-driven, canvas apps).
- Create and trigger Adaptive Cards via MS Teams/Outlook using Power Automate & Power BI APIs.
- Record/retrieve data in a DB/SharePoint List using PowerApps & Power Automate.
- Work with multiple data formats — establish connections with SharePoint, REST APIs, DBs, Dataflows, and vector/embedding stores.
- Design and implement RAG (Retrieval-Augmented Generation) pipelines — document ingestion, chunking, embedding generation, vector search, and grounded response generation.
- Integrate with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI, etc.) for tasks like summarization, classification, extraction, and conversational interfaces.
- Design and build agentic workflows — multi-step, tool-using automations where an LLM plans and orchestrates actions (e.g., using frameworks like LangChain, LangGraph, Semantic Kernel, or custom orchestration in Python).
- Understand Power BI dataflows and identify data limitations, proposing solutions accordingly.
- Build applications/flows using Python to automate processes, including AI-driven ones.
- Coordinate with development teams to build RESTful web services, including endpoints that wrap or serve LLM-based functionality.
- Write unit test cases for developed code, including evaluation/validation approaches for LLM-based outputs (accuracy, hallucination checks, groundedness).
- Participate in UAT; diagnose and troubleshoot bugs, integration issues, and AI-output quality issues.
- Write reusable, effective, and scalable Python code, including for prompt engineering, chaining, and orchestration logic.
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