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# Senior Software Engineer, Agentic Systems

- **Company:** Carelink Inc
- **Location:** Hoboken, NJ, United States
- **Experience:** Expert
- **Salary:** $130,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Data Stores, Distributed Systems, Python (Programming Language), NoSQL, Redis, Service-Oriented Architecture, Software Engineering, SQL Databases, TypeScript, Web Application Frameworks, Real Time Systems, Flask (Web Framework), Concurrency, Caching, Backend, Agentic-AI, Fastapi, Build Management, Health Level Seven International, Apache Kafka
- **Published:** October 9, 2026
- **Apply:** https://www.disabledperson.com/jobs/75940629-senior-software-engineer-agentic-systems

## About the Role

* 5+ years of experience in software engineering with strong backend focus
 * Proficiency in Python or TypeScript and deep knowledge of backend fundamentals: APIs, data stores, concurrency, distributed systems
 * Experience with web frameworks and service-oriented architectures (FastAPI, Flask, or equivalent) and designing clean, versioned APIs
 * Familiarity with caching, messaging, and database technologies (Redis, Kafka, SQL/NoSQL, vector databases) and how to use them for performance and reliability
 * Experience building for cloud infrastructure (Azure, AWS, or GCP)

## Description

We're building a world where medication delays are impossible. From the moment a prescription is written, the path to therapy start is clear, fast, and predictable. Asepha is the context graph for the therapy-start journey, connecting the fragmented steps that slow down medication access: intake, coordination, utilization management, and clinical services.

Role and Responsibilities:

 * Design and build autonomous agents that handle complex, multi-step pharmaceutical workflows end-to-end
 * Architect communication systems that coordinate across organizational boundaries
 * Build robust orchestration layers for long-running tasks with graceful failure handling and human-in-the-loop escalation
 * Develop frameworks that let agents interact with external pharmacy systems, databases, and APIs
 * Implement evaluation and observability infrastructure to monitor agent behavior in production
 * Integrate with healthcare data standards and legacy pharmacy systems
 * Scale systems to handle real-time processing across multiple pharmacy networks