Remote AI/ML Engineer: Secure Cloud AI & LLMs

YO AI Labs; Boston (MA); Remote; USD 120,000 - 160,000; Full time

Job summary

YO AI Labs is seeking an experienced AI/ML Engineer to design, deploy, and scale secure AI solutions. You will work with LLMs, RAG, prompt engineering, and multi-agent systems across cloud platforms.

Responsibilities include building data pipelines, REST APIs, and SDK integrations while collaborating with product and security teams to ensure robust, compliant deployments. This remote role supports enterprise-grade AI initiatives.

Qualifications

• Proficient in Python for AI/ML development including REST APIs
• Hands-on production experience with LLMs, RAG, and prompt engineering
• Experience with multi-agent orchestration and related toolsets
• Strong knowledge of cloud AI services (GovClouds, Vertex AI, Bedrock)
• Experience building data pipelines, ETL processes, metadata catalogs, and ontologies
• Understanding of secure coding and CI/CD practices
• 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 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 to stakeholders

Skills

Python

LLMs

RAG

Prompt engineering

Multi-agent orchestration

Cloud services

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 design, deploy, and scale secure AI solutions. You will work with LLMs, RAG, prompt engineering, and multi-agent systems across cloud platforms.

Responsibilities include building data pipelines, REST APIs, and SDK integrations while collaborating with product and security teams to ensure robust, compliant deployments. This remote role supports enterprise-grade AI initiatives.