JLL supports the Whole You, personally and professionally.

About JLL

We’re JLL. We’re a professional services and investment management firm specializing in real estate. We help organizations around the world achieve their ambitions by owning, occupying and investing in real estate.

If you’re looking to step up your career, JLL is the perfect professional home. At JLL, you’ll have a chance to innovate with the world’s leading businesses, put that expertise into action on landmark projects, and work on game-changing real estate initiatives. You’ll also make long-lasting professional connections through sharing different perspectives, and you’ll be inspired by the best. We’re focused on opportunity and want to help you make the most of yours. Achieve your ambitions - join us at JLL!

Core Technical RequirementsPython DevelopmentStrong proficiency in Python 3.x with 4+ years hands-on experience

Deep understanding of OOP principles, error handling, and code modularity

Knowledge of virtual environments and dependency management (pip, requirements.txt)

Selenium & Web AutomationExpert-level Selenium WebDriver experience for browser automation

Handling agile content, iframes, pop-ups, alerts, and AJAX calls

Experience with explicit/implicit waits and element locators (XPath, CSS selectors)

Knowledge of headless browser operations and handling CAPTCHAs Familiarity with additional tools : Beautiful Soup, Scrapy, Requests library Data Processing & File HandlingExcel manipulation : openpyxl, pandas, xlwings, xlrd/xlsxwriter PDF processing : PyPDF2, pdfplumber, tabula-py, camelot OCR implementation : Tesseract, pytesseract, EasyOCR, or cloud OCR APIs

Data transformation and cleansing with pandas and numpy

VBA & Excel MacrosWorking knowledge of VBA for Excel automation; ability to read,



modify, and maintain existing macros Experience with the Excel object model : Workbooks, Worksheets, Ranges, PivotTables

Integration between Python and Excel macros using xlwings or win32com (pywin32)

Sound judgment on when to use VBA vs. Python for a given automation task

Knowledge of macro security, digital signatures, and programmatic macro enablement

Experience with Excel events, user forms, and custom functions (UDFs)

Applied Gen AI & Prompt EngineeringExpert-level prompt engineering for business automation use cases: data extraction, document classification, content generation, entity recognition, and decision/validation logic Prompt optimization techniques : few-shot learning, chain-of-thought prompting, role-based prompting, context management

Understanding of hallucination handling and output-validation strategies for production use

Ability to design prompts that reliably produce structured outputs (JSON, CSV)

Knowledge of temperature, token limits, and parameter tuning

Experience building reusable prompt templates with dynamic variable insertion

Working experience with RESTful APIs — authentication, request/response handling, error management, rate limiting — including LLM provider APIs (OpenAI, Anthropic, Azure OpenAI)

Agentic AI DevelopmentThis is the newest and fastest-growing part of the role:



moving beyond single-turn prompting to building autonomous and semi-autonomous agents that plan, act, and collaborate to complete multi-step business workflows. Agent frameworks : hands-on experience with at least one of LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel Multi-agent orchestration : designing planner-executor, supervisor-worker, and reflection/critique patterns; coordinating specialist agents toward a shared goal Tool / function calling : defining and exposing tools (APIs, scripts, database calls) that an agent can invoke, and validating tool outputs before they drive downstream actions Model Context Protocol (MCP) or equivalent : connecting agents to enterprise systems and data sources through standardized tool/connector interfaces Retrieval-Augmented Generation (RAG) : chunking and embedding strategies, vector databases (e.g., FAISS, Chroma, Pinecone, Azure AI Search), and retrieval quality tuning Agent memory & state management : short-term (conversation/task) and long-term memory design; session and workflow state persistence Guardrails & human-in-the-loop design : building approval checkpoints, escalation paths, and safety rails so agents fail safely and stay within defined authority Agent evaluation & observability : tracing and debugging agent runs (e.g., LangSmith, Langfuse), monitoring token cost, latency, and success/failure rates Autonomy calibration : judgment on when a workflow should be fully autonomous vs. human-supervised, and how to design for graceful degradation when the agent is uncertain Cloud agent platforms (preferred) : hands-on experience with AWS Bedrock AgentCore (or an equivalent managed agent runtime/orchestration service) is a strong plus

Professional CompetenciesIndependent Work CapabilityProven track record of

📌 Manager, Intelligent Automation (Hyderabad)
🏢 JLL
📍 Hyderabad