Machinify, Inc.

Software Engineer, GenAI, ML

Machinify, Inc.

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Job Level

Mid-LevelSenior

Tech Stack

JavaPythonScala

About the role

  • Build systems that accelerate and scale the use of AI/ML innovations in Machinify’s production platforms, focusing on Payment Integrity and Audit solutions.
  • Work closely with data scientists on ensuring that state-of-the art AI systems, including LLM prompt engineering, RAG, agents, and other techniques can scale flexibly in Machinify services.
  • Build systems that enable high velocity and robust end-to-end data science experimentation cycles.
  • Drive projects aimed at significantly reducing manual audit review times and automating complex review types. Build upon our existing cutting-edge NLP and traditional ML approaches to achieve and exceed human-caliber interpretation of both claim data and medical records.
  • Deeply collaborate with Data Science, Data Engineering in order to deliver results through end-to-end solutions.
  • Explore and implement advanced AI approaches like AI agents to automate workflows and support increasingly complex use cases.

Requirements

  • Expertise in machine learning and AI/ML, with a strong background in implementing state-of-the-art AI/ML solutions into production environments.
  • Strong Python or Java/Scala experience
  • Production experience with big-data technologies and systems for handling sophisticated agentic workflows.
  • Proven track record in reducing manual processes through automation, especially in areas requiring domain-specific expertise like healthcare payer rules and medical staff review.
  • Strong collaboration skills to work effectively with data scientists and other engineers in a cross-functional team environment. Ability to synthesize requirements into deep technical design through collaboration across Data Science, Data Engineering, and Engineering teams.
  • A passion for pushing the boundaries of AI to achieve higher accuracy and efficiency than human counterparts.
  • Bachelors of Science in CS or related field.
  • 3+ years building and shipping production AI/ML solutions and co-working with Data Scientists
  • Experience with Python AND Java/Scala or similar languages.
  • Strong CS foundation (data structures, asynchronous programming)
  • Strong test writing discipline
  • Experience with reading and understanding complex enterprise-grade code and quickly contributing to it, and suggesting improvements.
  • Sponsorship available for US employment visas (We sponsor!)