> Markdown version of [/jobs/ext/2312163-software-architect](https://www.wearedevelopers.com/jobs/ext/2312163-software-architect). 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). --- # Software Architect - **Company:** Machinify, Inc. - **Location:** La Grange, KY, United States - **Experience:** Expert - **Salary:** $230,000.0 - $280,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Architectural Patterns, Information Engineering, Data Structures, Software Design Documents, Distributed Systems, Python (Programming Language), Prometheus, Software Engineering, Systems Architecture, Unstructured Data, Datadog, Large Language Models, Grafana, Apache Spark, Technical Debt, Information Technology, Apache Flink, Production Code, Apache Kafka, Machine Learning Operations, Asynchronous Programming, Api Design - **Published:** August 30, 2026 - **Apply:** https://www.juju.com/job/00000000gpt2zn ## About the Role 10+ years of software engineering experience with a proven track record of owning system architecture at scale Experience with Python & Scala/Java - deep experience designing Python-based frameworks and writing idiomatic, well-structured APIs in Python and Scala/Java. Demonstrated ability to design effective abstractions: knowing when to generalize, when to keep things concrete, and where to draw boundaries in complex systems Experience architecting agentic or multi-step reasoning systems that integrate LLMs into production workflows - framework-agnostic design thinking is valued over familiarity with any specific tool Strong background in designing large-scale systems that process unstructured data such as documents, medical records, and images Deep understanding of API design principles and building platforms that other engineers build upon Proven ability to productionize AI/ML systems with a focus on reliability, observability, and maintainability Strong experience with designing with system performance and scaling trade-offs in mind Strong CS fundamentals - data structures, distributed systems, asynchronous programming Bachelor's or Master's degree in Computer Science, or equivalent experience Nice to Have Experience with Spark, Flink, Kafka, Airflow, or Ray Knowledge of Prometheus, Grafana, and observability tooling Background in healthcare, fintech, or other regulated industries Cross-functional collaboration experience with data scientists and ML engineers ## Description We are seeking a Software Architect to own the design and implementation of our intelligent document processing and agentic evaluation framework. This is a hands-on, Senior Staff-level technical leadership role responsible for setting the architectural direction for how our platform ingests, understands, and reasons over complex healthcare documents at scale. This role requires both architectural vision and strong implementation skills. You will design the APIs, abstractions, and frameworks that power agentic case analysis - and build them alongside a team of experienced engineers. The ideal candidate brings deep expertise in system design, has strong convictions about where abstraction boundaries belong, and writes Python that sets the standard for the team. What You'll Do Own the architecture of Machinify's intelligent document processing platform and agentic evaluation framework - from API design to implementation Design abstractions and interfaces that enable agentic workflows to reason over medical records, claims data, and unstructured healthcare documents Define the boundaries between orchestration, retrieval, LLM interaction, and domain logic - creating a framework that is principled yet pragmatic. Ensure the system scales. Write performant production code - this is a hands-on role where you lead through implementation, not solely through design documents. Make foundational technology decisions around prompt architecture, multi-modal LLM integration, RAG patterns, and workflow orchestration Drive reliability and observability into AI systems that must operate at healthcare-grade standards Collaborate closely with Data Science, Data Engineering, and Product teams to translate complex domain requirements into clean system design Reduce technical debt and establish architectural patterns that scale with the platform Mentor engineers on system design, API design, and building production-grade AI systems ## Related Videos - [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) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)