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.
• Deep expertise in data engineering: ETL, data transformation, data modeling (Spark, SQL)
- Experience building high-scale distributed data systems.
• Cloud experience (OCI/AWS/Azure).
• Demonstrated competence as a Technical Lead / System Design of a non-trivial SaaS/IaaS project spanning multiple functional areas.
- Demonstrated competence in taking ambiguous functional and/or product requirements and partitioning them based on functional alignment.
- Experience with working with technical partners to translate ambiguous requirements into actionable technical requirements and per-component designs.
- Experience with owning all aspects of the development, characterization and deployment of features spanning multiple components.
• 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.
- Experience using the ChatGPT, Claude or similar models on a routine basis to improve 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)
