Manager - Python
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What you'll do
- 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.
What they're looking for
- Bachelor's degree in computer science, information technology, or a related field.
- 4-5 years of experience as an Automation Consultant or in a similar role.
- Expert-level proficiency in Python.
- Hands-on experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI, or similar) and prompt engineering fundamentals.
- Practical understanding of RAG architectures — embeddings, vector databases (e.g., Pinecone, FAISS, Chroma, Azure AI Search), and retrieval strategies.
- Exposure to building or working with agentic frameworks (LangChain, LangGraph, AutoGen, Semantic Kernel, or custom agent orchestration) is a strong plus.
- Familiarity with common databases (RDBMS such as MySQL & NoSQL such as MongoDB); exposure to vector stores is a bonus.
- Knowledge of object-oriented programming techniques.
- Ability to develop functional databases, applications, and servers to support back-end services.
- Understanding of performance optimization and multithreading concepts (relevant to async LLM calls and batch processing).
- Background in containerization tools like Docker is appreciated.
- Strong problem-solving skills and familiarity with code versioning tools such as GitHub.
Nice to have
- Exposure to building or working with agentic frameworks (LangChain, LangGraph, AutoGen, Semantic Kernel, or custom agent orchestration) is a strong plus.
- Background in containerization tools like Docker is appreciated.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
We're looking for an Automation Specialist with 4-5 years of experience to join the Operational Excellence team. In this role, you will design, develop, and implement automation solutions using Python, Power Platform, and increasingly, AI/LLM-driven workflows. You'll collaborate with cross-functional teams to understand business requirements and deliver scalable solutions — including intelligent, agentic automations — that help the organization operate more efficiently.
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.
Architect and build applications, coordinating with teams responsible for other layers of the product/AI infrastructure.
Write well-documented, clean code — including documentation of prompts, chains, and agent logic for maintainability.
Requirements:
Bachelor's degree in computer science, information technology, or a related field.
4-5 years of experience as an Automation Consultant or in a similar role.
Expert-level proficiency in Python.
Hands-on experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI, or similar) and prompt engineering fundamentals.
Practical understanding of RAG architectures — embeddings, vector databases (e.g., Pinecone, FAISS, Chroma, Azure AI Search), and retrieval strategies.
Exposure to building or working with agentic frameworks (LangChain, LangGraph, AutoGen, Semantic Kernel, or custom agent orchestration) is a strong plus.
Familiarity with common databases (RDBMS such as MySQL & NoSQL such as MongoDB); exposure to vector stores is a bonus.
Knowledge of object-oriented programming techniques.
Ability to develop functional databases, applications, and servers to support back-end services.
Understanding of performance optimization and multithreading concepts (relevant to async LLM calls and batch processing).
Background in containerization tools like Docker is appreciated.
Strong problem-solving skills and familiarity with code versioning tools such as GitHub.
Understanding of REST concepts and building/interacting with REST APIs.
Strong knowledge of Power Automate and creating PowerApps.
Knowledge and understanding of Power BI APIs, Dataflows & Power Query Editor.
Excellent communication and interpersonal skills.
Ability to work independently and as part of a team.
Strong attention to detail.
Must-have skills:
Python, LLM APIs (OpenAI/Anthropic/Azure OpenAI), RAG pipeline design, Power Automate, PowerApps, REST APIs, Power BI API, SQL, Dataflow, Power Query Editor.
Nice-to-have:
Agentic framework experience (LangChain/LangGraph/AutoGen), vector databases, Docker.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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