Remote AI/ML Engineer - GovCloud & LLMs

YO AI Labs; Los Angeles (CA); Remote; USD 140,000 - 190,000; Full time

Job summary

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

Design, implement, and orchestrate AI workflows across compliant cloud environments, develop REST APIs and SDK integrations, and collaborate with product, security, and engineering teams to deliver robust,

Qualifications

• Proficient in Python for AI/ML development, including REST APIs and SDK integrations.

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

Multi-agent orchestration

REST APIs

CI/CD

Tools

LangGraph

LangChain

AWS GovCloud

Google GovCloud

Azure IL5+

Vertex AI

AWS Bedrock

Job description

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

Design, implement, and orchestrate AI workflows across compliant cloud environments, develop REST APIs and SDK integrations, and collaborate with product, security, and engineering teams to deliver robust,