ML Engineer II – AI, Automation & RAG Workflows

Allvue Systems, LLC; New York (NY); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health Coverage options

Udemy enterprise membership

401K with company match

Competitive pay and year-end bonus

Flexible PTO

Charitable Donation matching

Team building activities

Job summary

AllvueSystems in New York seeks a Machine Learning Engineer II to advance AI-enabled automations across legal workflows. You will partner with stakeholders to translate pain points into practical prototypes, build scalable AI solutions, and support adoption with clear documentation and playbooks.

Bring 2+ years in software/AI environments, strong Python, API integration, and experience with LLM-driven workflows. A Bachelor’s degree is required.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Minimum 2 years in software/AI environments.
• Experience translating real-world business problems into technical solutions.

Responsibilities

• Partner with stakeholders to understand workflows and automation opportunities.
• Design and build AI and automation solutions for defined business workflows.
• Prototype quickly, test with users, and iterate based on feedback.
• Support integrations with systems via APIs (e.g., M365, intake tools, repositories).
• Apply AI and RAG to document-centric use cases while ensuring governance and security.

Skills

Python

APIs

LLM apps

RAG

Embeddings

Retool

Zapier

UiPath

AWS

Snowflake

Education

Bachelor's degree in CS/Engineering

Tools

Retool

Zapier

UiPath

AWS

Snowflake

Job description

AllvueSystems in New York seeks a Machine Learning Engineer II to advance AI-enabled automations across legal workflows. You will partner with stakeholders to translate pain points into practical prototypes, build scalable AI solutions, and support adoption with clear documentation and playbooks.

Bring 2+ years in software/AI environments, strong Python, API integration, and experience with LLM-driven workflows. A Bachelor’s degree is required.