Production AI/ML Engineer: LLMs, RAG & Secure Cloud

24-Mag Llc; Washington, Northern (District of Columbia, KY); Hybrid; USD 96,000 - 276,000; Full time

Benefits offered by this job

Hybrid work arrangement

Competitive hourly rate

Job summary

24-Mag LLC is seeking an experienced AI/ML Engineer in a full-time hybrid role to design and deploy production-grade AI systems using LLMs, RAG, and agentic workflows for highly regulated environments. You will build data pipelines, secure cloud infrastructure, APIs, and CI/CD, working with LangGraph, LangChain, AWS GovCloud, Vertex AI, and other platforms.

Candidates should have strong Python skills, hands-on production experience, and ability to collaborate with security and product teams on

Qualifications

• Hands-on engineering experience building production AI/ML systems using LLMs, RAG, and prompt engineering.
• Strong systems thinking with production-grade design, security-sensitive deployment, and regulatory awareness.
• Experience integrating REST APIs, data pipelines, and secure cloud infrastructure.

Responsibilities

• Design, implement, and optimise production-grade AI systems.
• Build applications using LLMs, RAG, and prompt engineering.
• Develop and orchestrate multi-agent workflows and tool-use patterns.
• Deploy AI solutions within secure cloud environments and CI/CD pipelines.
• Collaborate with security, product, and data teams to ensure reliability and compliance.

Skills

Python

LLMs & RAG

Multi-agent orchestration

REST APIs

CI/CD

Cloud deployment

Tools

LangGraph

LangChain

AWS GovCloud

Vertex AI

AWS Bedrock

Google GovCloud

Azure IL5+

Job description

24-Mag LLC is seeking an experienced AI/ML Engineer in a full-time hybrid role to design and deploy production-grade AI systems using LLMs, RAG, and agentic workflows for highly regulated environments. You will build data pipelines, secure cloud infrastructure, APIs, and CI/CD, working with LangGraph, LangChain, AWS GovCloud, Vertex AI, and other platforms.

Candidates should have strong Python skills, hands-on production experience, and ability to collaborate with security and product teams on