We’re looking for highly skilled AI engineers to design and build high-scale, cloud-based data processing pipelines that ingest, transform, and analyze massive volumes of healthcare data with low latency, powering business insights and analytics across EHR and RCM systems.
You will leverage LLMs, AI agents, and modern data platforms to solve problems like clinical decision support, revenue optimization, and workflow automation while using AI-assisted development tools to accelerate delivery.
Internal Responsibilities
Responsibilities
As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.
Key Responsibilities
- Design and develop scalable data pipelines and AI-driven workflows.
- Build LLM/agent-based solutions for business use cases (revenue leakage, readmissions, automation).
- Own end-to-end features from data ingestion through transformation and on to insights.
- Optimize systems for performance, scale, and low latency.
- Mentor junior engineers and contribute to design decisions.
Mandatory Qualifications:
BS/MS in in Computer Science or equivalent.
8+ years of relevant software engineering experience.
Strong software engineering skills in Python/Java.
Strong knowledge of SQL.
Deep expertise in data engineering: ETL, data transformation, data modeling (Spark,
SQL)
Experience building high-scale distributed data systems.
Cloud experience (OCI/AWS/Azure).
Experience with creating major new functionality in a software system all the way from
design, through development and testing to production deployment.
that are part of a larger system.
Experience with LLMs, prompt engineering, and agent frameworks.
Experience with blending hands-on coding with smart adoption of AI-driven solutions to
rapidly prototype, test, iterate, and deliver reliable code.
productivity.
Preferred Qualifications:
Experience with agentic architectures or GenAI platforms.
Background in healthcare or digital health systems.
Understanding of EHR systems and RCM workflows.
Familiarity with healthcare coding standards (ICD/CPT).
External Responsibilities
Responsibilities
As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.
Key Responsibilities
- Design and develop scalable data pipelines and AI-driven workflows.
- Build LLM/agent-based solutions for business use cases (revenue leakage, readmissions, automation).
- Own end-to-end features from data ingestion through transformation and on to insights.
- Optimize systems for performance, scale, and low latency.
- Mentor junior engineers and contribute to design decisions.
Mandatory Qualifications:
BS/MS in in Computer Science or equivalent.
8+ years of relevant software engineering experience.
Strong software engineering skills in Python/Java.
Strong knowledge of SQL.
Deep expertise in data engineering: ETL, data transformation, data modeling (Spark,
SQL)
Experience building high-scale distributed data systems.
Cloud experience (OCI/AWS/Azure).
Experience with creating major new functionality in a software system all the way from
design, through development and testing to production deployment.
that are part of a larger system.
Experience with LLMs, prompt engineering, and agent frameworks.
Experience with blending hands-on coding with smart adoption of AI-driven solutions to
rapidly prototype, test, iterate, and deliver reliable code.
productivity.
Preferred Qualifications:
Experience with agentic architectures or GenAI platforms.
Background in healthcare or digital health systems.
Understanding of EHR systems and RCM workflows.
Familiarity with healthcare coding standards (ICD/CPT).
