Machinify, Inc.
Software Engineer - GenAI & Agentic Workflows
Machinify, Inc., Palo Alto, California, United States, 94306
Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify's revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.
What You'll Do As a Senior/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:
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. What You'll Bring
6+ years of software engineering 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. Experience designing and scaling
large-scale, distributed systems
and pipelines, ideally processing unstructured data such as documents or healthcare records. 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. Demonstrated success in reducing manual processes through automation, ideally in healthcare, fintech, or other regulated domains. Collaborative mindset with experience working closely with
data scientists and cross-functional teams
to translate requirements into technical designs and production systems. A passion for pushing the boundaries of AI to deliver better-than-human-level accuracy and efficiency at scale. Technical Requirements
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.
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.
See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/
What You'll Do As a Senior/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:
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. What You'll Bring
6+ years of software engineering 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. Experience designing and scaling
large-scale, distributed systems
and pipelines, ideally processing unstructured data such as documents or healthcare records. 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. Demonstrated success in reducing manual processes through automation, ideally in healthcare, fintech, or other regulated domains. Collaborative mindset with experience working closely with
data scientists and cross-functional teams
to translate requirements into technical designs and production systems. A passion for pushing the boundaries of AI to deliver better-than-human-level accuracy and efficiency at scale. Technical Requirements
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.
Equal Employment Opportunity at Machinify
Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.
See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/