Mental Health Expert

YO AI Labs is seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives and contribute to proprietary AI infrastructure. The role develops production-grade machine learning applications using LLMs, RAG, multi-agent systems, and cloud AI platforms.

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

Preferred

• 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
• Enterprise AI platforms
• Anthropic for Gov
• OpenAI Enterprise
• Gemini Enterprise
• Grok Enterprise
• MCP
• Metadata catalog platforms
• Advanced API development
• Government cloud environments
• Regulated cloud environments
• Security-sensitive cloud environments
• Compliance standards
• Security standards

Benefits

• Remote work arrangement

Company

• AI data annotation and training services for AI models
• Shi'bat Al Wutah, Abu Dhabi Emirate, AE
• https://yoailabs.com/
• Founded in 2024
• 201-500 employees

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
• 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

Required skills

• AWS Bedrock, AWS GovCloud, Azure IL5+, ETL, Google GovCloud, LangChain, LangGraph, Large Language Models (LLMs), Prompt Engineering, Python, Retrieval-Augmented Generation (RAG), Vertex AI

Preferred skills

• Familiarity with relevant compliance and security standards

Experience

• Mid level