AI/ML Engineer - Remote
YO AI Labs
Los Angeles, CA
- Remote job
Job Description
Job Description
AI/ML Engineer
Job Type: Full-Time
Location: Remote
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.
- 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.
- 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.
Vacancy posted 10 days ago
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