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Machinify

Software Architect

Machinify

Software Architect designing and implementing intelligent document processing systems at Machinify. Leading architectural decisions and collaborating with engineering and product teams for healthcare technology.

Posted 4/17/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $230,000 - $280,000 per yearWebsite

Tech Stack

Tools & technologies
Distributed SystemsJavaPythonScala

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • 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

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Hard Skills & Tools
PythonScalaJavaAPI designsystem architectureAI/ML systemsunstructured data processingperformance optimizationasynchronous programmingdata structures
Soft Skills
mentoringcollaborationdesign thinkingproblem-solvingcommunication
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Computer Science