engineering
Posted Feb 24Staff Software Engineer | Agentic Workflows
at Machinify
United StatesRemote
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. •
- 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. What You’ll Bring •
- Track record of building and shipping enterprise-grade AI/ML systems in production. •
Requirements
- Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise.
- As a Staff Software Engineer at Machinify, you will lead the design and development of large-scale systems that bring cutting-edge AI into production to transform Payment Integrity and Audit solutions. You will: •
- experience , including at least 2 years building agentic systems or AI-driven workflows in an enterprise setting. •
- Strong programming expertise in Java and Python , with additional
- experience in Scala a significant plus. •
- Proven ability to productionize AI/ML techniques (e.g., LLM prompt engineering, RAG, workflow automation, and agents) with a focus on reliability, observability, and explainability. •
- Knowledge of monitoring and observability tools (Prometheus, Grafana or similar) and passion for tracking metrics. •
- Strong CS fundamentals, including data structures, asynchronous programming, and system design. •
- experience working closely with data scientists and cross-functional teams to translate
- A passion for pushing the boundaries of AI to deliver better-than-human-level accuracy and efficiency at scale. Technical Requirements •