Job Title Engineer II, RPA & Intelligent Automation

Team Intelligent Automation / Automation & AI Platform

Experience Minimum 4 years

Location Remote-Eligible

Shift timings : 5PM to 2AM

About the Role

Ensemble Health Partners is one of the fastest-growing revenue cycle management companies in healthcare. Our Automation & AI Platform team is building the next generation of intelligent automation: moving beyond traditional rule-based bots into agentic, AI-driven automation and Computer Use Agents (CUA) that can see, reason about, and operate real applications the way a person does.

We are looking for an Engineer II who lives and breathes Python and wants to build production automation at the intersection of RPA and applied AI. You will design and ship automations across web, Citrix, and document-heavy workflows, then push them further with LLMs, OCR, and agentic techniques so they handle the messy, unstructured cases that classic RPA cannot.

We care about how you reason about brittle real-world systems, write clean Python, and learn quickly. Our stack spans Python, Playwright, Azure, Docker, and a fast-growing agentic / CUA layer built on Azure OpenAI and open-source LLMs. Strong engineers pick up the parts they havent seen fast.

What You Will Do

- Design, build, test, and maintain production automations in Python across web, Citrix, and API-driven workflows.
- Automate applications end to end: web automation (Playwright or Selenium), Citrix and virtual-desktop automation, and OCR or document-based automation.
- Build agentic and Computer Use Agent (CUA) automations that combine LLMs with UI control to handle tasks that rule-based bots cannot.
- Apply document processing and intelligent data extraction,



blending OCR with LLMs to turn unstructured inputs into structured, usable data.
- Integrate REST and SOAP APIs (auth, pagination, retries, error handling), preferring API-driven steps over fragile UI wherever an API exists.
- Handle unattended-execution concerns: secure secret handling, MFA such as TOTP, scheduling, structured logging, and graceful recovery.
- Package automations as Docker containers, run them on Azure, and ship through Azure DevOps Git with PR review and CI/CD pipelines.
- Write and optimize advanced SQL against SQL Server for data-driven automations and reporting.
- Contribute to our shared automation platform, building reusable workers, connectors, and workflow components.
- Instrument what you build with structured logging, metrics, and Application Insights, and help triage and resolve production issues.

What We’re Looking For Minimum 4 years of qualified experience building and running production automations or software, with Python at the center of your work.

Must-Have Skills

- Python (required): strong core Python (data structures, OOP, exception handling), clean modular code, virtual environments and dependency management (pip / poetry / uv), HTTP and API work (requests / httpx), parsing JSON, CSV, and Excel data, logging, and writing tests.
- Hands-on RPA delivery: production automations built in Python.



Prior Power Automate / Power Automate Desktop experience is valued, and experience with any other RPA tool (UiPath, Automation Anywhere, Blue Prism) is welcome, but Python is mandatory.
- Web, Citrix, and OCR automation: Playwright or Selenium for web, image / vision techniques for Citrix and virtual desktops, and OCR for documents.
- REST API integration: consuming third-party APIs with auth flows, pagination, retries, and error handling.
- Advanced SQL: SQL Server / T-SQL, complex joins, window functions, stored procedures, and query tuning.
- Azure fundamentals, hands-on with: Service Bus, Key Vault, Function Apps, Application Insights, Automation Runbooks, and Azure AI Foundry.
- Docker: containerizing automations and running them reliably.
- Git and CI/CD: Azure DevOps pipelines, PR workflow, and branching.
- Unattended-run fundamentals: secrets, MFA / TOTP, scheduling, and logging.

Preferred / Stand-Out
- Agentic automation and Computer Use Agent (CUA) experience: combining LLMs with UI control to build adaptive automations.
- AI / LLM engineering: Azure OpenAI, prompt design, and handling non-deterministic output.
- Open-source LLM experience: self-hosting or serving models (for example vLLM) and integrating them into automation.
- Document processing at scale: intelligent extraction from PDFs and scanned documents using OCR and LLMs.
- FastAPI + Pydantic: building small services and APIs that sit behind automations.
- Model Context Protocol (MCP) or comparable tool / adapter abstractions.
- Healthcare / regulated-data domain: familiarity with HIPAA constraints or Epic / FHIR integration.

📌 RPA Engineer (Hyderabad)
🏢 Ensemble Health Partners
📍 Hyderabad