AI/ML Engineer

AI/ML Engineer

Job Type: Full-time
Location: Hybrid
Compensation: $200,000–$350,000/year
Openings: 1

About the Opportunity

We are seeking an AI/ML Engineer to build and deploy secure, scalable machine learning systems while contributing to advanced AI infrastructure and mission-critical initiatives.

The role combines hands-on engineering across LLMs, RAG, agentic AI, cloud platforms, data infrastructure, APIs, and secure DevOps practices.

What You'll Do

• Design, implement, and optimize production-grade AI/ML applications using LLMs, RAG, and prompt engineering.

• Develop and orchestrate multi-agent systems, including tool use and agent workflows.

• Deploy AI solutions across secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.

• Build and maintain robust data pipelines and ETL processes for AI training and inference.

• Develop metadata catalogs and ontologies to support high-quality AI data.

• Create and maintain REST APIs and SDK integrations for data and model interactions.

• Collaborate with product, security, and engineering teams on secure and scalable implementations.

• Apply modern DevOps and CI/CD practices throughout development and deployment.

• Document technical decisions and communicate complex technical concepts to both technical and non-technical stakeholders.

Requirements

• Strong proficiency in Python for AI/ML development, including REST APIs and SDK integration.

• Hands-on production experience with LLMs, RAG systems, and prompt engineering.

• Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.

• Strong understanding of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.

• Experience building and maintaining data pipelines, ETL processes, ontologies, and metadata catalogs.

• Strong understanding of secure coding and CI/CD practices.

• Excellent written and verbal communication skills.

Preferred Qualifications

• Experience with enterprise AI and agentic platforms, including Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.

• Knowledge of MCP metadata catalog platforms and advanced API development techniques.

• Experience working with government or highly regulated cloud environments.

• Familiarity with relevant compliance standards.

Role Overview

This is a hands-on engineering opportunity for someone comfortable working across AI application development, cloud infrastructure, data systems, and agentic technologies while maintaining strong security and engineering standards.