AI/ML Engineer - Remote
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Salary
$400k – $700k per year
Location
In office (Boston)
Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Sep 27, 2026. YO AI Labs scores A on the Alion truth index.
Overview
Company
Impact
Profile match
YO AI Labs is an artificial intelligence platform specializing in AI model training, evaluation, and data annotation services. Headquartered in San Francisco, California, United States, the company connects domain experts and remote specialists across the globe to review, test, and benchmark generative AI model outputs. Through its decentralized workforce solutions and structured evaluation workflows, it enables frontier technology developers to enhance the accuracy, safety, and reliability of next-generation artificial intelligence systems.
AI/ML Engineer
Job Type: Full-Time
Location: Remote
Job Summary
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.
Required Skills & Qualifications
- 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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