AI/ML Engineer<br><br><strong>Job Type:</strong> Full-Time<br><br><strong>Location:</strong> Remote<br><br><strong>Job Summary<br><br></strong>We are seeking an experienced <strong>AI/ML Engineer</strong> to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with <strong>LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms</strong> to develop production-grade machine learning applications.<br><br>Key Responsibilities<br><br><ul><li>Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.</li><li>Develop and orchestrate multi-agent systems using LangGraph and LangChain.</li><li>Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.</li><li>Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.</li><li>Develop and maintain REST APIs and SDK integrations.</li><li>Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.</li><li>Follow modern secure coding, DevOps, and CI/CD practices.</li><li>Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.<br><br><br></li></ul><strong>Required Skills & Qualifications<br><br></strong><ul><li>Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.</li><li>Hands-on production experience with LLMs, RAG, and prompt engineering.</li><li>Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.</li><li>Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.</li><li>Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.</li><li>Strong understanding of secure coding and CI/CD practices.</li><li>Excellent written and verbal communication skills.<br><br><br></li></ul><strong>Preferred Qualifications<br><br></strong><ul><li>Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.</li><li>Knowledge of MCP, metadata catalog platforms, and advanced API development.</li><li>Experience working in government, regulated, or security-sensitive cloud environments.</li><li>Familiarity with relevant compliance and security standards.<br></li></ul>
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