Remote AI/ML Engineer for Secure Cloud AI & LLMs

YO AI Labs; Washington (District of Columbia); Remote; USD 180,000 - 230,000; 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 deliver production-grade applications.

You will design end-to-end data pipelines, governance catalogs, and APIs, while collaborating with product, security, and engineering teams to ensure robust, compliant solutions across secure cloud environments like AWS

Qualifications

• Strong Python proficiency for AI/ML development.
• Hands-on production experience with LLMs, RAG, and prompt engineering.
• Experience with multi-agent orchestration and related tools like LangGraph and LangChain.
• Knowledge of cloud AI services (GovCloud, 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.

Responsibilities

• Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
• Develop and orchestrate multi-agent systems.
• Deploy AI solutions across secure cloud environments.
• Build robust ETL and data pipelines, metadata catalogs, and ontologies.
• Develop and maintain REST APIs and SDK integrations.
• Collaborate with product, security, and engineering teams.
• Follow 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

LangGraph

LangChain

Secure coding

CI/CD

REST APIs

Tools

AWS GovCloud

Google GovCloud

Azure IL5+

Vertex AI

AWS Bedrock

LangGraph

LangChain

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 deliver production-grade applications.

You will design end-to-end data pipelines, governance catalogs, and APIs, while collaborating with product, security, and engineering teams to ensure robust, compliant solutions across secure cloud environments like AWS