AI/ML Engineer

About this role

AI/ML Engineer to build secure, scalable, production-grade AI systems for mission-critical government initiatives and the company’s proprietary AI infrastructure. The role focuses on large language models, RAG, prompt engineering, multi-agent orchestration, data pipelines, and cloud-native deployment across regulated environments. You will work closely with product, security, and engineering teams to design reliable AI services and integrations. This opportunity is best suited to engineers with strong Python, cloud AI, data engineering, and agentic AI experience.

AI ML LLM Engineer

Responsibilities

• Design and optimize production AI/ML systems using LLMs, RAG, prompt engineering, and multi-agent architectures.
• Build agentic workflows with LangGraph, LangChain, REST APIs, and SDK integrations.
• Deploy secure solutions across AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock while following CI/CD and secure coding practices.
• Build data pipelines, ETL workflows, metadata catalogs, and ontologies while documenting technical decisions for technical and non-technical stakeholders.

Qualifications

• Strong proficiency in Python with hands-on experience building REST APIs and integrating SDKs.
• Production experience with LLMs, RAG systems, prompt engineering, and multi-agent orchestration using frameworks such as LangGraph and LangChain.
• Strong understanding of cloud AI services, data pipelines, ETL, metadata catalogs, ontologies, secure coding, and modern DevOps practices.
• Excellent written and verbal communication skills with the ability to collaborate across product, security, and engineering teams.