Software Engineer | GenAI, ML

Palo Alto, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, AI, AI & Machine Learning, SoftwareIndustries

Requirements

Candidates must possess a Bachelor of Science in Computer Science or a related field, with at least 3 years of experience building and shipping production AI/ML solutions and collaborating with Data Scientists. Proficiency in Python and Java/Scala or similar languages is required, along with a strong computer science foundation including data structures and asynchronous programming. A strong test-writing discipline and the ability to understand and contribute to complex enterprise-grade code are also necessary. Experience with big-data technologies and systems for sophisticated agentic workflows is essential.

Responsibilities

The Software Engineer will build systems to accelerate and scale AI/ML innovations in production platforms, focusing on Payment Integrity and Audit solutions. This includes working with data scientists on state-of-the-art AI systems like LLM prompt engineering, RAG, and agents, ensuring they can scale flexibly. Responsibilities also involve building systems for high-velocity data science experimentation, driving projects to reduce manual audit review times and automate complex reviews, and building upon NLP and traditional ML approaches. The engineer will collaborate deeply with Data Science and Data Engineering to deliver end-to-end solutions and explore/implement advanced AI approaches like AI agents to automate workflows and support complex use cases.

Skills

Machine Learning

AI/ML

LLM prompt engineering

RAG

Agents

Python

Java

Scala

Big Data Technologies

NLP

Automation

Data Science Experimentation

Data Engineering

Machinify

AI-driven solutions for healthcare administration

About Machinify

Machinify provides AI-driven solutions to improve decision-making in the healthcare industry. Its platform helps health plans, payers, and providers optimize their operations, particularly in areas like claims processing and utilization management. The applications offered by Machinify can be quickly deployed, allowing clients to see immediate returns on investment. This focus on rapid implementation sets Machinify apart from competitors, as healthcare organizations increasingly seek cost efficiency and better patient outcomes. The company's goal is to enhance operational efficiency and help clients manage healthcare expenditures more effectively.

Palo Alto, CaliforniaHeadquarters

2016Year Founded

$15.2MTotal Funding

SERIES_ACompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees