Senior ML Engineer - Remote AI for Payment Integrity

The Rawlings Group; United States; Remote; USD 180,000 - 250,000; Full time

Benefits offered by this job

Work from anywhere in the US

Top medical/dental/vision

FSA/HSA

Tuition reimbursement

401(k) with company match

Unlimited PTO

Health and wellness perks

Job summary

Machinify is a leading healthcare intelligence company delivering AI-powered solutions across the payment continuum. We are hiring a Staff ML Engineer to design and build large-scale AI systems for Payment Integrity and Audit workloads from coast to coast in the United States.

You will lead document processing pipelines, develop agentic workflows, and advance multi-modal LLM applications while collaborating with data science and product teams to achieve high reliability and explainability.

Qualifications

• Bachelor's or Master's degree in Computer Science or a related field (or equivalent practical experience).
• Track record of building and shipping enterprise-grade AI/ML systems in production.
• Strong testing and code quality discipline, with experience contributing to and improving enterprise-grade systems.
• Experience with big-data tools and distributed systems frameworks (e.g., Spark, Flink, Kafka, Airflow, Ray) is a strong plus.

Responsibilities

• Lead development of document processing pipelines capable of annually handling hundreds of millions of documents, including medical records, claims, and benefits data.
• Design and implement agentic workflows that review and validate millions of healthcare claims per year, ensuring accuracy and payment integrity.
• Evolve our agentic ecosystem by driving innovation in prompt development lifecycle, optimal utilization of various flavors of multi-modal (text + vision) LLMs, context extraction, RAG, workflow orchestration frameworks, observability and logging, and explainability of LLM outputs.
• Collaborate across teams (Data Science, Data Engineering, and Product) to deliver robust, end-to-end AI-powered systems that automate complex workflows.
• Address critical infrastructure needs by tracking and reducing tech debt while strengthening system reliability and scalability.
• Mentor and guide engineers on best practices in designing production-grade AI systems, helping set technical direction for the team.

Skills

Java

Python

Scala

Distributed systems

AI/ML workflows

Prometheus

Grafana

Data structures

Async programming

System design

Automation

Education

Bachelor's or Master's in CS

Tools

Spark

Flink

Kafka

Airflow

Ray

LLM tooling

Job description

Machinify is a leading healthcare intelligence company delivering AI-powered solutions across the payment continuum. We are hiring a Staff ML Engineer to design and build large-scale AI systems for Payment Integrity and Audit workloads from coast to coast in the United States.

You will lead document processing pipelines, develop agentic workflows, and advance multi-modal LLM applications while collaborating with data science and product teams to achieve high reliability and explainability.