AI/ML Engineer - Remote

YO AI Labs View all jobs

New York, NY, United States

6 days ago

Apply on www.careerjet.com

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Role details

Contract type

Contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$92,300.0 - $166,850.0

Working hours

Regular working hours

Job source

www.careerjet.com

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.
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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.