Manager - Python

Fractal Analytics; Mumbai City; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Fractal Analytics, Mumbai, is seeking an Automation Consultant to translate business requirements into automated AI-augmented workflows using Power Automate, Python, and LLM APIs.

You will design RAG pipelines, integrate with REST APIs, build agentic workflows, and collaborate with data teams to deliver scalable back-end services and AI-enabled analytics.

Qualifications

• Bachelor's degree in CS/IT or related field.
• 4-5 years of experience as an Automation Consultant or similar.
• Expert-level proficiency in Python.
• Hands-on with LLM APIs and prompt engineering.
• Understanding of RAG architectures—embeddings, vector databases, and retrieval strategies.
• Exposure to agentic frameworks (LangChain/LangGraph/AutoGen).
• Familiarity with MySQL and MongoDB; vector stores a bonus.
• Knowledge of OOP and REST APIs; back-end services.

Responsibilities

• Translate business requirements into automated flows/scripts, including AI-augmented workflows.
• Create Power Automate flows and integrate with apps (model-driven, canvas apps).
• Build and trigger Adaptive Cards via MS Teams/Outlook using APIs.
• Record/retrieve data in a DB/SharePoint List using PowerApps & Power Automate.
• Design and implement RAG pipelines and integrate with LLM APIs.
• Develop agentic workflows with LangChain/LangGraph or similar.
• Write unit tests and perform UAT for AI outputs; ensure quality.

Skills

Python

LLM APIs

Power Automate

PowerApps

REST APIs

Power BI API

SQL

Dataflow

Power Query Editor

Multithreading

Docker

Agentic frameworks

Education

Bachelor’s degree in computer science/IT or related field

Tools

Docker

Job description

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.

Job Description

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!