Job description

Job Title: Engineer II, Software

Experience: 3 - 5 Years

Job Location: Hyderabad(hybrid)

Shift Timings: 5 pm to 2 am IST

Company Overview

Ensemble Health Partners India, we're at the forefront of innovation, leveraging cutting-edge technology to drive meaningful impact in the Revenue Cycle Management landscape. Our future-forward technology combines advanced AI-driven analytics with tightly integrated data ingestion, workflow automation and business intelligence solutions on a modern cloud architecture. These AI-powered solutions are actively running in production, continuously optimizing processes and delivering data-driven insights at scale. We have the second-largest share in the RCM space in the US Market with 10000+ professionals working in the organization. With 10 Technology Patents in our name, we believe the best results come from a combination of skilled and experienced team, proven and repeatable processes, and modern and flexible technologies. As a leading player in the industry, we offer an environment that fosters growth, creativity, and collaboration, where your expertise will be valued, and your contributions will make a difference.

Position Overview

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 professional 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.

Benefits

Health Benefits and Insurance Coverage for family and parents. Accidental Insurance for the associate.
Compliant with all Labor Laws- Maternity benefits, Paternity Leaves.
Company Swags- Welcome Packages, Work Anniversary Kits
Exclusive Referral Policy
Professional Development Program and Reimbursements.
Remote work – flexibility to work from home.

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