Machine Learning Engineer – Remote
YO IT Consulting
full-remotemidpermanentbackenddata United States 47 days ago via LinkedIn
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PythonLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)LangChainLangGraphAWS GovCloudAzureGoogle CloudETLCI/CD
About the role
Role Overview
Join YO IT Consulting as an AI/ML Engineer (Remote, Full-Time) supporting mission-critical government initiatives and building proprietary AI infrastructure. You will leverage LLMs, RAG, and multi-agent orchestration to deliver secure, scalable machine learning systems.
Responsibilities
- Design, implement, and optimize production AI/ML solutions, focusing on LLMs, RAG, and prompt engineering.
- Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
- Integrate and deploy solutions in secure government cloud environments, including:
- AWS GovCloud, Google GovCloud
- Azure IL5+
- Vertex AI, AWS Bedrock
- Build and maintain data pipelines, including ETL, metadata catalogs, and ontologies to support training and inference data quality.
- Create REST APIs and SDK integrations for data/model interoperability.
- Collaborate with product, security, and engineering teams; follow secure coding and DevOps practices (including CI/CD).
- Document technical decisions and clearly communicate with both technical and non-technical stakeholders.
Required Skills / Qualifications
- Python proficiency for AI/ML development, including REST API and SDK integration experience.
- Hands-on production experience with LLMs, RAG, and prompt engineering.
- Experience with multi-agent orchestration and tool use (notably LangGraph / LangChain).
- Strong knowledge of cloud AI services in regulated environments (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
- Experience building/maintaining data pipelines, ETL, ontologies, and metadata catalogs.
- Strong grasp of secure coding and modern DevOps practices (CI/CD).
- Excellent written and verbal communication skills.
Preferred Qualifications
- Experience with agentic/AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
- Knowledge of metadata catalog platforms (MCP) and advanced API development.
- Prior exposure to government or other highly regulated cloud environments and related compliance standards.
Scraped 4/2/2026