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

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

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

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