Manager - Python

Posted 4 Days Ago
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Mumbai, Maharashtra, IND
In-Office
Senior level
Artificial Intelligence • Consulting
The Role
Design, develop, and implement automation and AI/LLM-driven workflows using Python and Power Platform. Build RAG pipelines, integrate LLM APIs, create Power Automate/PowerApps flows, implement agentic workflows, coordinate RESTful services, write tests and documentation, and troubleshoot integrations and AI output quality.
Summary Generated by Built In

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

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!

Not the right fit?  Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Skills Required

  • Bachelor's degree in Computer Science, Information Technology, or related field
  • 4-5 years of experience as an Automation Consultant or similar role
  • Expert-level proficiency in Python
  • Hands-on experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI, or similar)
  • Practical understanding of RAG architectures, embeddings, and vector databases (Pinecone, FAISS, Chroma, Azure AI Search)
  • Experience building Power Automate flows and PowerApps
  • Experience with Power BI APIs, Dataflows, and Power Query Editor
  • Experience designing integrations with REST APIs and building RESTful endpoints
  • Familiarity with relational and NoSQL databases (SQL, MySQL, MongoDB)
  • Knowledge of object-oriented programming and ability to architect backend services
  • Understanding of performance optimization, async/multithreading for batch and LLM calls
  • Experience writing unit tests and evaluation/validation approaches for LLM outputs (accuracy, hallucination checks)
  • Familiarity with GitHub (version control) and strong problem-solving skills
  • Experience documenting prompts, chains, and agent logic for maintainability
  • Exposure to agentic frameworks (LangChain, LangGraph, AutoGen, Semantic Kernel) or custom orchestration
  • Exposure to vector stores and embedding pipelines (if not already covered under RAG)
  • Background in containerization tools like Docker

Fractal Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.

  • Healthcare Strength Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
  • Leave & Time Off Breadth Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
  • Flexible Benefits Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.

Fractal Insights

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The Company
HQ: New York, NY
5,262 Employees

What We Do

Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.

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