You will own the end-to-end technical solution, designing the HIPAA-compliant AWS architecture and EDI integrations while mentoring a small team of engineers. You will also interface directly with client-side stakeholders to manage scope, risk, and technical documentation.
You will build the backend and integrations for a HIPAA-compliant platform, including a real-time eligibility check engine and encrypted data stores. You will work closely with a solutions architect to implement infrastructure-as-code and manage third-party clearinghouse integrations.
You will build a HIPAA-compliant operations dashboard and an intake/consent module for a healthcare platform. Additionally, you will develop resilient browser automation to interface with legacy EHR systems that lack APIs.
Own the cloud-native AWS architecture for a new MCP project and lead a technical team of engineers and AI specialists. Act as the primary technical point of contact for the client while remaining hands-on with coding and PR reviews.
Own the full-cycle recruiting process for senior technical roles, including sourcing, screening, and pipeline management in Airtable. Partner with technical leads to design scoring rubrics and manage the flow from assessment to client presentation.
Design and implement the backend infrastructure for Model Context Protocol (MCP) server components to enable tool-use and agent orchestration. Collaborate with a technical lead to integrate these AI layers into an existing Java and SQL Server production stack.
Own the security posture of the Model Context Protocol (MCP) infrastructure, focusing on authentication, secrets management, and AI guardrails. Additionally, manage and remediate the broader application security backlog for the client's software systems.
Maintain and optimize agentic AI infrastructure using LangChain and MCP protocol. Own the deployment pipelines, observability, and production stability for LLM-based systems.
