Senior AI/ML Engineer - GovCloud & LLM Specialist

YO AI Labs; Maryland; Remote; USD 120,000 - 180,000; 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 machine learning applications.

You will collaborate with product, security, and engineering teams, implement robust data pipelines, APIs, and tools, and follow modern DevOps and secure coding practices to enable reliable, auditable AI

Qualifications

• Experience with Python for AI/ML development, including REST APIs.
• Hands-on production experience with LLMs, RAG, and prompt engineering.
• Experience with multi-agent orchestration, LangGraph, and LangChain.
• Knowledge of cloud AI services (GovCloud, Vertex AI, Bedrock).

Responsibilities

• Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
• Develop and orchestrate multi-agent systems with LangGraph and LangChain.
• Deploy AI solutions across secure cloud environments (GovClouds, Vertex AI, Bedrock).
• Build robust ETL pipelines, 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 decisions and communicate complex concepts to stakeholders.

Skills

Python

LLMs

RAG

Prompt engineering

Multi-agent orchestration

LangGraph

LangChain

REST APIs

SDK integrations

CI/CD

Secure coding

Cloud platforms

Data pipelines

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 deliver production-grade machine learning applications.

You will collaborate with product, security, and engineering teams, implement robust data pipelines, APIs, and tools, and follow modern DevOps and secure coding practices to enable reliable, auditable AI