AI/ML Engineer

About This Role

Join our customer's team as an AI/ML Engineer to build and deploy next-generation AI solutions for critical government and enterprise applications, leveraging advanced large language models (LLMs) and multi-agent orchestration.

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

Requirements

• 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

Nice to Have

• 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

Skills

* Required skills