Senior AI/ML Engineer — Secure Cloud & LLM Systems (Remote)

YO AI Labs; Town of Texas (WI); On-site; USD 120,000 - 170,000; Full time

Job summary

YO AI Labs is seeking an experienced AI/ML Engineer to design and deploy secure, scalable AI systems for mission-critical initiatives. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to deliver production-grade applications.

The role covers development of ETL pipelines, metadata catalogs, and ontologies, plus REST API and SDK integrations. You will join cross-functional teams to ensure security, reliability, and scalable architecture across cloud

Qualifications

• Experience building production-grade AI solutions with secure coding practices.
• Proficient in Python and REST APIs for SDK integrations.
• Excellent written and verbal communication skills.

Responsibilities

• Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
• Develop and orchestrate multi-agent systems using LangGraph and LangChain.
• Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
• Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
• Develop and maintain REST APIs and SDK integrations.
• Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
• Follow modern secure coding, DevOps, and CI/CD practices.
• Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.

Skills

Python

LLMs

RAG

Prompt engineering

LangGraph

LangChain

REST APIs

Distributed systems

CI/CD

Security best practices

Communication skills

Tools

LangGraph

LangChain

AWS GovCloud

Google GovCloud

Azure IL5+

Vertex AI

AWS Bedrock

Cloud platforms

Job description

YO AI Labs is seeking an experienced AI/ML Engineer to design and deploy secure, scalable AI systems for mission-critical initiatives. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to deliver production-grade applications.

The role covers development of ETL pipelines, metadata catalogs, and ontologies, plus REST API and SDK integrations. You will join cross-functional teams to ensure security, reliability, and scalable architecture across cloud