Engineer, Backend Integration, AI Transformation

Job not on LinkedIn

🔥 0 minutes ago

🎸 Tennessee – Remote

🎸 Tennessee – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

💻 Solutions Engineer

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Lifepoint Health®

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

🧬 Biotechnology

💊 Pharmaceuticals

Healthcare • Biotechnology • Pharmaceuticals

Lifepoint Health® is a diversified healthcare delivery network that serves patients, clinicians, communities, and partners across the healthcare continuum. With a presence that extends from coast to coast, Lifepoint operates community hospitals, rehabilitation and behavioral health hospitals, and additional care sites. The company is dedicated to improving community health through high-quality care, patient safety, clinical excellence, and innovative partnerships aimed at enhancing healthcare quality and access.

📋 Description

• Design, build, and maintain RESTful and event-driven APIs that expose enterprise system capabilities to AI agents and agentic workflows in a secure and controlled manner. • Develop and maintain Model Context Protocol (MCP) server implementations that provide AI agents with structured, secure, and auditable access to enterprise tools, data sources, and services. • Build and manage integrations with key enterprise platforms including ServiceNow (workflow triggers, CMDB queries, ticket management), Okta (identity and access queries, group management), and ERP/financial systems. • Implement security controls for all integration endpoints: OAuth 2.0 / OIDC authentication, API gateway policies, rate limiting, input sanitization, payload validation, and comprehensive audit logging. • Collaborate with Agentic AI Engineers to define MCP tool specifications and ensure agents can reliably invoke enterprise actions with appropriate authorization checks and operational guardrails. • Maintain comprehensive API documentation and an integration catalog so the team can build on existing ‘paved paths’ rather than re-implementing integrations from scratch. • Monitor integration health, SLA adherence, and error rates; implement alerting and graceful degradation patterns so agent failures are isolated and recoverable. • Work with the AI governance team to ensure integration designs comply with data classification policies, access control requirements, and applicable regulatory standards. • Evaluate and onboard new enterprise system integrations as the team’s scope of automation expands to additional business units and platforms. • Contribute to the team’s security review process for agent tool definitions, ensuring tool permissions follow the principle of least privilege.

🎯 Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field preferred. Equivalent practical experience will be considered. • 2–4 years of backend software development or systems integration experience. • Experience with enterprise platform APIs (ServiceNow, Okta, Microsoft 365, or ERP systems) is a strong plus. • Proficiency in at least one backend language — Python strongly preferred; Node.js or Java acceptable. • Strong understanding of REST API design principles, authentication and authorization patterns (OAuth 2.0, OIDC, API keys, JWT), and API gateway configuration. • Experience consuming and integrating with enterprise platform APIs (ServiceNow, Okta, Microsoft Graph, SAP, or similar). • Knowledge of Model Context Protocol (MCP) or ability and enthusiasm to rapidly learn and implement MCP server patterns — a key skill for this team. • Security-first development mindset: input validation and sanitization, secure credential handling and rotation, least-privilege API scoping, audit logging, and OWASP API Security Top 10 awareness. • Familiarity with Azure API Management, Azure Functions, Azure Service Bus, or similar Azure integration and serverless platform services. • Understanding of event-driven architecture, webhook patterns, and asynchronous integration approaches. • Experience with version control (Git), code review practices, and collaborative development workflows. • Ability to write clear, accurate API documentation and integration specifications that other engineers can build on. • Genuine curiosity about AI agents and automation — understanding of how MCP tools are invoked by LLMs is a significant plus.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options