Staff Software Engineer | Agentic Workflows
Machinify · United States
- Hybrid
- Full-time
- $250,000 / year
- United States
Job highlights
- Lead large-scale AI systems for healthcare payment integrity.
- Develop document processing and claims validation workflows.
- Innovate with LLMs, RAG, and agentic ecosystem.
- Collaborate with data science and product teams.
- Mentor engineers and reduce technical debt.
About the role
Staff Software Engineer | Agentic Workflows
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.
What You’ll Do
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:
- 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.
What We Offer
- Work from anywhere in the US! Machinify is digital-first.
- Top Medical/Dental/Vision offerings
- FSA/HSA
- Tuition reimbursement
- Competitive salary, 401(k) with company match
- Unlimited PTO
- Additional health and wellness benefits and perks
- Flexible and trusting environment where you’ll feel empowered to do your best work
The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels and the base salary can range from $180k-$250k+ based on your assessed level. Compensation also includes meaningful equity, healthcare, unlimited PTO, and more.
Equal Employment Opportunity at Machinify
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/
Key skills/competency
- Staff Software Engineer
- Agentic Workflows
- AI/ML Productionization
- LLM Prompt Engineering
- RAG
- Workflow Orchestration
- Distributed Systems
- Java
- Python
- Healthcare Claims Processing
Skills & topics
- Staff Software Engineer
- Agentic Workflows
- AI
- Machine Learning
- LLM
- RAG
- Python
- Java
- Distributed Systems
- Healthcare Technology
- Software Engineering
- Payment Integrity
- Workflow Automation
- Scala
- Spark
- Flink
- Kafka
- Airflow
- Ray
- Prometheus
- Grafana
How to get hired
- Tailor your resume: Highlight experience with agentic systems, AI/ML productionization, Java, Python, and distributed systems, especially within regulated industries.
- Showcase impactful projects: Detail your experience in designing and scaling large-scale pipelines and automating manual processes.
- Emphasize collaboration: Provide examples of successful cross-functional teamwork with data scientists and product managers.
- Demonstrate AI passion: Express your enthusiasm for pushing AI boundaries and achieving better-than-human accuracy.
- Prepare for technical interviews: Be ready to discuss system design, data structures, asynchronous programming, and AI/ML concepts.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key technologies Machinify uses for their Agentic Workflows?
- Machinify focuses on leveraging multi-modal LLMs, RAG, workflow orchestration frameworks, and robust observability and logging tools for their agentic workflows. Strong programming skills in Java and Python are essential, with Scala being a plus. Experience with big data tools like Spark, Flink, Kafka, Airflow, and Ray is also highly beneficial.
- What kind of experience is required for the Staff Software Engineer role at Machinify?
- The role requires 6+ years of software engineering experience, including at least 2 years building agentic systems or AI-driven workflows in an enterprise setting. A Bachelor's or Master's degree in Computer Science or equivalent practical experience is needed, along with a proven track record of productionizing AI/ML systems.
- Can I work remotely for this Staff Software Engineer position at Machinify?
- Yes, Machinify is a digital-first company and offers a 'work from anywhere in the US' policy for this role, indicating a remote work arrangement.
- What is the typical salary range for a Staff Software Engineer at Machinify?
- The base salary for this position can range from $180k to $250k+, depending on the candidate's assessed level, experience, skills, and certifications. Compensation also includes meaningful equity and other benefits.
- What are the main responsibilities of a Staff Software Engineer focused on Agentic Workflows at Machinify?
- Key responsibilities include leading the design and development of large-scale AI systems for Payment Integrity, developing document processing pipelines, implementing agentic workflows for claims validation, innovating in LLM prompt development, and collaborating with cross-functional teams.
- Does Machinify encourage learning and development for its engineers?
- Yes, Machinify offers tuition reimbursement and fosters a flexible and trusting environment where engineers are empowered to do their best work, suggesting a strong commitment to professional growth.
- What makes Machinify a unique company to work for as a Staff Software Engineer?
- Machinify is a leader in healthcare intelligence, utilizing cutting-edge AI to transform payment integrity. The opportunity to work on large-scale, impactful systems with a remote-first culture and a focus on innovation makes it a compelling choice for engineers.
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