> Markdown version of [/jobs/ext/2531000-ai-ml-engineer-remote](https://www.wearedevelopers.com/jobs/ext/2531000-ai-ml-engineer-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - Remote - **Company:** YO AI Labs View all jobs - **Location:** Boston, MA, United States (Remote available) - **Experience:** Expert - **Contract:** Contract - **Skills:** 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, AI Infrastructure, Cloud Platform System, Large Language Models, Multi-Agent Systems, Prompt Engineering, Build Management, AI Platforms, Api Design, Restful APIs, Data Pipelines - **Published:** August 29, 2026 - **Apply:** https://www.careerjet.com/jobad/usa26afe5cab9fab31e59488eafe695c9f ## About the Role * 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. ## 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. * Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders., Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training pr… + 16 hours ago + Apply easily, Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training pr… + 16 hours ago + Apply easily + ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)