AI/ML Engineer for Secure Cloud AI Systems

As an AI/ML Engineer, you will play a crucial role in advancing mission-critical government initiatives while contributing to proprietary AI infrastructure. This position offers the opportunity to leverage advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to create secure, scalable, and impactful machine learning systems. Key Responsibilities:

• Design, implement, and optimize AI/ML models, focusing on 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 in 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, adhering to secure coding and DevOps best practices (CI/CD).
• Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.

• 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.

• 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.

Full-Time, Remote

$250, 000 - $600, 000 yearly