Jobs at YO AI Labs

Job Description Job Description 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. Remote Skills: Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Data Management, Database Extract Transform and Load (ETL), DevOps, Government, MCP - Microsoft Certified Professional, Machine Learning, Metadata, Microsoft Windows Azure, Ontology, Presentation/Verbal Skills, Production Machining, Python Programming/Scripting Language, REST (Representational State Transfer), Regulatory Compliance, Secure Coding, Security Compliance, Software Engineering, Technical Writing, Writing Skills undefined: YO AI Labs

DevOps Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound. No prior AI experience is required—your DevOps expertise and engineering judgment are what matter most. Key Responsibilities • Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response. • Create working reference solutions with clear setup and validation steps. • Review AI-generated solutions, identify failures, and provide precise technical corrections. • Maintain high standards for correctness, reliability, and reproducibility. • Provide structured feedback to improve AI-generated DevOps workflows. Required Skills • Kubernetes • Terraform • CI/CD • Python • Linux • Docker • Git • Cloud Platforms • Infrastructure as Code Required Qualifications • 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering. • Strong coding skills in Python, Go, Bash, or TypeScript. • Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins. • Practical experience with Docker, Kubernetes, and at least one major cloud platform. • Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation. • Advanced Linux and Git skills. • Strong written and spoken English. • Availability of at least 20 hours per week. Preferred Qualifications • Experience with Prometheus, Grafana, Datadog, or OpenTelemetry. • Background in security, secrets management, or platform reliability. • Open-source contributions or technical writing experience. • Previous experience with AI training data or model evaluation.

DevOps Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound. No prior AI experience is required—your DevOps expertise and engineering judgment are what matter most. Key Responsibilities • Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response. • Create working reference solutions with clear setup and validation steps. • Review AI-generated solutions, identify failures, and provide precise technical corrections. • Maintain high standards for correctness, reliability, and reproducibility. • Provide structured feedback to improve AI-generated DevOps workflows. Required Skills • Kubernetes • Terraform • CI/CD • Python • Linux • Docker • Git • Cloud Platforms • Infrastructure as Code Required Qualifications • 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering. • Strong coding skills in Python, Go, Bash, or TypeScript. • Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins. • Practical experience with Docker, Kubernetes, and at least one major cloud platform. • Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation. • Advanced Linux and Git skills. • Strong written and spoken English. • Availability of at least 20 hours per week. Preferred Qualifications • Experience with Prometheus, Grafana, Datadog, or OpenTelemetry. • Background in security, secrets management, or platform reliability. • Open-source contributions or technical writing experience. • Previous experience with AI training data or model evaluation.

DevOps Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound. No prior AI experience is required—your DevOps expertise and engineering judgment are what matter most. Key Responsibilities • Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response. • Create working reference solutions with clear setup and validation steps. • Review AI-generated solutions, identify failures, and provide precise technical corrections. • Maintain high standards for correctness, reliability, and reproducibility. • Provide structured feedback to improve AI-generated DevOps workflows. Required Skills • Kubernetes • Terraform • CI/CD • Python • Linux • Docker • Git • Cloud Platforms • Infrastructure as Code Required Qualifications • 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering. • Strong coding skills in Python, Go, Bash, or TypeScript. • Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins. • Practical experience with Docker, Kubernetes, and at least one major cloud platform. • Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation. • Advanced Linux and Git skills. • Strong written and spoken English. • Availability of at least 20 hours per week. Preferred Qualifications • Experience with Prometheus, Grafana, Datadog, or OpenTelemetry. • Background in security, secrets management, or platform reliability. • Open-source contributions or technical writing experience. • Previous experience with AI training data or model evaluation.

DevOps Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound. No prior AI experience is required—your DevOps expertise and engineering judgment are what matter most. Key Responsibilities • Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response. • Create working reference solutions with clear setup and validation steps. • Review AI-generated solutions, identify failures, and provide precise technical corrections. • Maintain high standards for correctness, reliability, and reproducibility. • Provide structured feedback to improve AI-generated DevOps workflows. Required Skills • Kubernetes • Terraform • CI/CD • Python • Linux • Docker • Git • Cloud Platforms • Infrastructure as Code Required Qualifications • 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering. • Strong coding skills in Python, Go, Bash, or TypeScript. • Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins. • Practical experience with Docker, Kubernetes, and at least one major cloud platform. • Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation. • Advanced Linux and Git skills. • Strong written and spoken English. • Availability of at least 20 hours per week. Preferred Qualifications • Experience with Prometheus, Grafana, Datadog, or OpenTelemetry. • Background in security, secrets management, or platform reliability. • Open-source contributions or technical writing experience. • Previous experience with AI training data or model evaluation.

DevOps Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound. No prior AI experience is required—your DevOps expertise and engineering judgment are what matter most. Key Responsibilities • Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response. • Create working reference solutions with clear setup and validation steps. • Review AI-generated solutions, identify failures, and provide precise technical corrections. • Maintain high standards for correctness, reliability, and reproducibility. • Provide structured feedback to improve AI-generated DevOps workflows. Required Skills • Kubernetes • Terraform • CI/CD • Python • Linux • Docker • Git • Cloud Platforms • Infrastructure as Code Required Qualifications • 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering. • Strong coding skills in Python, Go, Bash, or TypeScript. • Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins. • Practical experience with Docker, Kubernetes, and at least one major cloud platform. • Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation. • Advanced Linux and Git skills. • Strong written and spoken English. • Availability of at least 20 hours per week. Preferred Qualifications • Experience with Prometheus, Grafana, Datadog, or OpenTelemetry. • Background in security, secrets management, or platform reliability. • Open-source contributions or technical writing experience. • Previous experience with AI training data or model evaluation.

DevOps Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound. No prior AI experience is required—your DevOps expertise and engineering judgment are what matter most. Key Responsibilities • Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response. • Create working reference solutions with clear setup and validation steps. • Review AI-generated solutions, identify failures, and provide precise technical corrections. • Maintain high standards for correctness, reliability, and reproducibility. • Provide structured feedback to improve AI-generated DevOps workflows. Required Skills • Kubernetes • Terraform • CI/CD • Python • Linux • Docker • Git • Cloud Platforms • Infrastructure as Code Required Qualifications • 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering. • Strong coding skills in Python, Go, Bash, or TypeScript. • Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins. • Practical experience with Docker, Kubernetes, and at least one major cloud platform. • Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation. • Advanced Linux and Git skills. • Strong written and spoken English. • Availability of at least 20 hours per week. Preferred Qualifications • Experience with Prometheus, Grafana, Datadog, or OpenTelemetry. • Background in security, secrets management, or platform reliability. • Open-source contributions or technical writing experience. • Previous experience with AI training data or model evaluation.

DevOps Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound. No prior AI experience is required—your DevOps expertise and engineering judgment are what matter most. Key Responsibilities • Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response. • Create working reference solutions with clear setup and validation steps. • Review AI-generated solutions, identify failures, and provide precise technical corrections. • Maintain high standards for correctness, reliability, and reproducibility. • Provide structured feedback to improve AI-generated DevOps workflows. Required Skills • Kubernetes • Terraform • CI/CD • Python • Linux • Docker • Git • Cloud Platforms • Infrastructure as Code Required Qualifications • 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering. • Strong coding skills in Python, Go, Bash, or TypeScript. • Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins. • Practical experience with Docker, Kubernetes, and at least one major cloud platform. • Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation. • Advanced Linux and Git skills. • Strong written and spoken English. • Availability of at least 20 hours per week. Preferred Qualifications • Experience with Prometheus, Grafana, Datadog, or OpenTelemetry. • Background in security, secrets management, or platform reliability. • Open-source contributions or technical writing experience. • Previous experience with AI training data or model evaluation.

DevOps Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound. No prior AI experience is required—your DevOps expertise and engineering judgment are what matter most. Key Responsibilities • Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response. • Create working reference solutions with clear setup and validation steps. • Review AI-generated solutions, identify failures, and provide precise technical corrections. • Maintain high standards for correctness, reliability, and reproducibility. • Provide structured feedback to improve AI-generated DevOps workflows. Required Skills • Kubernetes • Terraform • CI/CD • Python • Linux • Docker • Git • Cloud Platforms • Infrastructure as Code Required Qualifications • 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering. • Strong coding skills in Python, Go, Bash, or TypeScript. • Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins. • Practical experience with Docker, Kubernetes, and at least one major cloud platform. • Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation. • Advanced Linux and Git skills. • Strong written and spoken English. • Availability of at least 20 hours per week. Preferred Qualifications • Experience with Prometheus, Grafana, Datadog, or OpenTelemetry. • Background in security, secrets management, or platform reliability. • Open-source contributions or technical writing experience. • Previous experience with AI training data or model evaluation.