Machinifyinc~3mo ago

Staff Software Engineer | Agentic Workflows

United StatesRemotelead

OtherSoftware EngineerSoftware Engineering

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Quick Summary

Overview

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country.

Technical Tools

airflowgrafanajavakafkaprometheuspythonscaladistributed-systemsfintechsystem-design

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. 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. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.

Responsibilities

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deep software engineering experience, with meaningful experience building agentic systems or AI-driven workflows in an enterprise setting.
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Strong programming expertise in Java and Python, with additional experience in Scala a significant plus.
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Experience designing and scaling large-scale, distributed systems and pipelines, ideally processing unstructured data such as documents or healthcare records.
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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.
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Knowledge of monitoring and observability tools (Prometheus, Grafana or similar) and passion for tracking metrics.
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Strong CS fundamentals, including data structures, asynchronous programming, and system design.
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Demonstrated success in reducing manual processes through automation, ideally in healthcare, fintech, or other regulated domains.
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Collaborative mindset with experience working closely with data scientists and cross-functional teams to translate requirements into technical designs and production systems.
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A passion for pushing the boundaries of AI to deliver better-than-human-level accuracy and efficiency at scale.

Requirements

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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.