AIML Engineer Remote

Job Type: Full-Time
Location: Remote

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.

• 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.

• 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.

• 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.