AI Infrastructure Engineer – Agents & ML Systems

Description: Build internal AI infrastructure connecting LLMs and AI agents with internal tools, APIs, and data sources. Develop tools and services for task automation, data analysis, and internal productivity. Create pipelines for data retrieval, context management, and internal knowledge search. Support ML infrastructure workflows including data preparation and model deployment. Partner with various teams to identify and implement high-value AI use cases. Requirements: Bachelor's degree in Computer Science, Engineering, or related field. 3+ years of experience in software or infrastructure engineering, ML infrastructure, or related roles. Strong programming skills in Python, TypeScript, Go, C++, or similar languages. Experience with production software systems, APIs, and data pipelines. Familiarity with AI infrastructure concepts and securing AI systems. Ability to work across multiple teams and strong debugging skills. U.S. citizenship and ability to obtain a security clearance. Benefits: 100% employer-paid health, dental, and vision insurance for employees and families. Life insurance (employer paid) and 401k program participation (matching). Unlimited PTO policy with a minimum of 2 weeks enforced. Equity package and work/home office stipend. Global Entry and 16 weeks paid parental leave. Monthly health and wellness stipend.