> Markdown version of [/jobs/ext/1759318-staff-software-engineer-agentic-workflows](https://www.wearedevelopers.com/jobs/ext/1759318-staff-software-engineer-agentic-workflows). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer | Agentic Workflows - **Company:** Machinify, Inc. - **Location:** Palo Alto, United States (Remote available) - **Salary:** $180,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Big Data, Software Quality, Computer Programming, Information Engineering, Data Structures, Distributed Systems, Monitoring of Systems, Machine Learning, Prometheus, Software Engineering, Unstructured Data, Data Logging, Large Language Models, Grafana, Prompt Engineering, Apache Spark, Reliability of Systems, Information Technology, Apache Flink, Apache Kafka, Machine Learning Operations, Asynchronous Programming - **Published:** July 31, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p8u9aepskk ## About the Role * deep software engineering experience, with meaningful experience 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. ## Description 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Leading efficiency, empathy, and the human experience with AI](https://www.wearedevelopers.com/videos/1699-leading-efficiency-empathy-and-the-human-experience-with-ai) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [All your telemetry data from any source in one place](https://www.wearedevelopers.com/videos/57-all-your-telemetry-data-from-any-source-in-one-place) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)