Remote AI/ML Engineer for Secure LLM & Multi-Agent Systems

YO AI Labs; Texas; Remote; USD 120,000 - 180,000; Full time

Job summary

YO AI Labs seeks an experienced AI/ML Engineer to design, deploy, and scale secure 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 ML applications.

You will build robust data pipelines, metadata catalogs, ontologies, and REST APIs, while collaborating with product, security, and engineering teams to ensure secure, scalable delivery.

Qualifications

• Strong Python proficiency for AI/ML development.
• Hands-on production experience with LLMs, RAG, and prompt engineering.
• Experience with multi-agent orchestration and LangGraph/LangChain.
• Knowledge of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, Bedrock).
• Experience building data pipelines, ETL, metadata catalogs, and ontologies.
• Understanding of secure coding and CI/CD practices.

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 (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, Bedrock).
• Build robust ETL/data pipelines, metadata catalogs, and ontologies for training and inference.
• Develop and maintain REST APIs and SDK integrations.
• Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
• Follow secure coding, DevOps, and CI/CD practices.
• Document technical decisions and communicate complex concepts to stakeholders.

Skills

Python

LLMs

RAG

LangGraph

LangChain

Cloud AI services

Data pipelines

ETL

REST APIs

SDK integrations

Secure coding

DevOps

CI/CD

Communication

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

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

Key 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.

Required Skills & Qualifications

• Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
• Hands-on production experience with LLMs, RAG, and prompt engineering.
• Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
• Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
• Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
• Strong understanding of secure coding and CI/CD practices.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
• Knowledge of MCP, metadata catalog platforms, and advanced API development.
• Experience working in government, regulated, or security-sensitive cloud environments.
• Familiarity with relevant compliance and security standards.