AI/ML Engineer - Remote
YO AI Labs View all jobs
Miami, FL, United States
about 2 months ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Cloud Computing
Cloud Computing Security
Continuous Integration
Extract Transform Load (ETL)
DevOps
Python (Programming Language)
Machine Learning
Metadata
Secure Coding
+10 more
AI Infrastructure
Cloud Platform System
Large Language Models
Multi-Agent Systems
Prompt Engineering
Build Management
AI Platforms
Api Design
Restful APIs
Data Pipelines
Job description
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.
Requirements
- 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.
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