AI/ML Engineer - Remote

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.