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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Engineer, Software - **Company:** Ensemble Health Partners - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $100,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Software as a Service, Cloud Computing, Code Review, Computer Literacy, Continuous Integration, Data Structures, Data Stores, Relational Databases, Software Debugging, Programming Tools, Distributed Systems, Python (Programming Language), PostgreSQL, Machine Learning, Enterprise Messaging Systems, Open Source Technology, Redis, OpenAI, Cloud Services, Robotic Automation Software, Selenium, Software Engineering, TypeScript, Datadog, Enterprise Software Applications, Microsoft Power Automate, Fast Healthcare Interoperability Resources, Large Language Models, Model Validation, Rate Limiting, Fastapi, Event Driven Architecture, AI Platforms, Uipath, Kubernetes, Infrastructure Automation Frameworks, Low Latency, Playwright, Health Level Seven International, Restful APIs, Docker, Databricks - **Published:** October 27, 2026 - **Apply:** https://ensemblehp.wd5.myworkdayjobs.com/EnsembleHealthPartnersCareers/job/Senior-Engineer--Software_R053631 ## About the Role * Five or more years of hands-on software engineering experience building and operating production SaaS applications, platforms, or distributed systems. * Strong fundamentals in software design, REST APIs, data structures, distributed systems, asynchronous processing, and event-driven architectures. * Strong proficiency in Python and experience with one or more additional modern languages such as Java, TypeScript/JavaScript or C#/.NET. * Experience owning production systems end to end, including architecture, implementation, testing, deployment, observability, reliability, and production support. * Experience with modern cloud platforms and engineering practices, including Azure or AWS, Docker, Kubernetes or container orchestration, CI/CD, Infrastructure as Code, relational databases, and observability tooling. * Experience designing reusable platform capabilities, APIs, SDKs, internal developer tooling, or services consumed by other teams. * Experience identifying and solving production performance, reliability, or scale problems. * A product mindset and a desire to understand users, outcomes, and operational context rather than simply implementing requirements. * Strong written and verbal communication skills and the ability to explain technical tradeoffs clearly. * Experience mentoring or providing technical guidance to other engineers. Great to Have * Hands-on experience integrating LLMs or AI models into production software, including model APIs, structured outputs, tool use, retrieval, agents, evaluation, or inference infrastructure. * Experience with browser automation, computer-use automation, RPA, Playwright, Stagehand, Selenium, UiPath, Power Automate, or similar technologies. * Experience building systems where deterministic software and AI capabilities work together to automate complex workflows safely and reliably. * Experience with production AI concerns such as evaluation, grounding, model selection, latency, cost management, rate limiting, observability, guardrails, and human-in-the-loop workflows. * Experience with FastAPI, PostgreSQL, Redis, Databricks, Azure AI Foundry, Azure OpenAI, AWS Bedrock, SageMaker, or comparable technologies. * Experience building systems in healthcare, fintech, or another regulated environment. * Familiarity with healthcare integration standards or platforms such as FHIR, HL7, Epic, or payer systems. * This position pays between $100,000-150,000 based on experience * Must be inquisitive and demonstrate openness to innovation including AI to explore better processes and ways to alleviate friction and improve patient and client experiences. * This is a remote position; however, candidates must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require., This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the role's range. ## Description The Intelligent Automation Platform team turns that advantage into software. We build Task Agents that execute revenue cycle work at massive scale - across payer portals, client host systems, remote desktops, and enterprise applications where APIs are often unavailable. Because we know the workflows and outcomes in detail, we can choose the most efficient path to each result: a direct API where one exists, AI-enhanced computer use where it doesn't. The hard part is doing this where errors are expensive, every action must be auditable, and the system has to keep working when a portal changes overnight. We pair computer-use automation, AI-assisted authoring, and self-healing with deterministic execution, rigorous observability, and appropriate human oversight. This is a hands-on platform engineering role. You will evolve the platform, build reusable capabilities and production Task Agents, solve reliability and scale problems, and partner with product and operations teams to turn complex manual workflows into durable products. We hire across multiple levels and are looking for engineers who want to work at the intersection of distributed systems, automation, cloud infrastructure, and applied AI - and who want their work to show up as better outcomes for hospitals and patients. You Will * Design, build, deploy, operate, and continuously improve production platform capabilities and Task Agents end to end. * Build reusable services, APIs, SDKs, automation components, and platform abstractions rather than solving each workflow as a one-off implementation. * Develop Task Agents that work across APIs, browser interfaces, computer-use workflows, data stores, messaging systems, and enterprise applications. * Evolve platform capabilities for authoring, deterministic execution, AI-assisted self-healing, testing, orchestration, observability, auditability, and operational control. * Apply AI and LLM capabilities where they meaningfully improve Task Agent development, recovery, reasoning, or user experience while maintaining reliable and observable production execution. * Design systems that operate reliably at scale, diagnosing bottlenecks and improving performance, availability, cost, and operational efficiency. * Own software beyond implementation, including automated testing, CI/CD, monitoring, incident response, debugging, and lifecycle improvement. * Work with users and product partners to understand workflow problems, prototype solutions, measure outcomes, and iterate from production feedback. * Evaluate open-source technologies, cloud services, AI models, and commercial products and make pragmatic build-versus-buy decisions. * Mentor engineers through design discussions, code reviews, debugging, and hands-on technical collaboration.