Machine Learning Engineer – Remote

**Job Title:** AI/ML Engineer **Job Type:** Full\-Time **Job Summary** Join our team as a AI/ML Engineer and play a pivotal role in driving mission\-critical government initiatives while also contributing to proprietary AI infrastructure, you’ll harness advanced large language models (LLMs), retrieval\-augmented generation (RAG), and multi\-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with cross\-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. **Key Responsibilities** * Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. * Develop and orchestrate multi\-agent systems using frameworks such as LangGraph and LangChain. * Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5\+, Vertex AI, and AWS Bedrock. * Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high\-quality data for AI training and inference. * Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. * Collaborate with product, security, and engineering teams to ensure best\-in\-class delivery, following secure coding and DevOps best practices (CI/CD). * Document technical decisions and communicate complex concepts clearly to both technical and non\-technical stakeholders. **Required Skills And Qualifications** * Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration. * Hands\-on experience with LLMs, RAG systems, and prompt engineering in production environments. * Familiarity with multi\-agent orchestration, tool use, and frameworks like LangGraph and LangChain. * Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5\+, Vertex AI, AWS Bedrock). * Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. * Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines). * Exceptional written and verbal communication skills for effective collaboration and documentation. **Preferred Qualifications** * Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise. * Knowledge of metadata catalog platforms (MCP) and advanced API development techniques. * Prior exposure to government or highly regulated cloud environments and compliance standards.