AI​/ML Engineer

• Design, implement, and optimize production AI/ML models using LLMs, RAG, and prompt engineering.
• Develop and orchestrate multi-agent systems with tools and frameworks such as Lang Graph and Lang Chain.
• Integrate and deploy solutions in secure cloud environments, including AWS Gov Cloud, Google Gov Cloud, Azure IL5+, Vertex AI, and AWS Bedrock.
• Build reliable data pipelines, manage ETL processes, and develop metadata catalogs and ontologies that support high-quality AI training and inference data.
• Create and maintain REST APIs and SDK integrations for data and model interactions.
• Partner with product, security, and engineering teams to deliver secure solutions using modern Dev Ops and CI/CD practices.
• Document technical decisions and explain complex concepts to technical and non-technical stakeholders.

• Proficiency in Python for AI/ML development, including REST API and SDK integration experience.
• Hands-on production experience with LLMs, RAG systems, and prompt engineering.
• Experience with multi-agent orchestration, tool use, and frameworks such as Lang Graph and Lang Chain.
• Strong understanding of cloud AI services, including AWS Gov Cloud, Google Gov Cloud, Azure IL5+, Vertex AI, and AWS Bedrock.
• Experience building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
• Knowledge of secure coding practices and modern Dev Ops, including CI/CD pipelines.
• Excellent written and verbal communication skills.

• Experience with enterprise or government AI and agentic platforms.
• Knowledge of metadata catalog platforms and advanced API development techniques.
• Experience working in government or highly regulated cloud environments and with applicable compliance standards.

Remote, full-time position.

Annual compensation range: $200, 000 to $350, 000.