You'll play a crucial role in building and maintaining the foundation of Olympus and Athena, our core AI technologies that power our suite of AI-native applications. This position offers an exciting opportunity to work at the forefront of AI and enterprise software, creating the robust infrastructure and systems that enable our Product Engineers to develop cutting-edge AI-native
applications.
Core Responsibilities:

• Design, develop, and maintain the core infrastructure and services that form the backbone of Olympus and Athena, ensuring high performance, scalability, and reliability.
• Build and optimize the underlying systems that enable seamless integration of AI models into our platforms, supporting the work of our Product Engineers.
• Develop and maintain APIs, microservices, and data pipelines that facilitate efficient data processing, analysis, and AI model operations.
• Develop advanced RAG systems including optimized embeddings and indexing.
• Implement robust security measures and ensure compliance with industry standards to protect sensitive enterprise data.
• Collaborate with AI researchers and data scientists to create efficient frameworks for AI model deployment and management within our platforms.
• Continuously improve the development and deployment processes, focusing on automation, monitoring, and observability.
• Deploy on customer networks, including AWS GovCloud, ensuring secure and compliant installations.
• Work closely with Forward Deployed Engineers to understand client needs and provide the necessary platform capabilities to support AI-native application development.
• Work with Product Engineers to provide building blocks for creating exceptional AI-native user experiences.
• Participate in architectural discussions and contribute to the long-term technical vision of our platforms.

  Must have:

• 5+ years building platforms for AI/ML model deployment and production MLOps.
• 3+ years building scalable distributed systems/platforms.
• Strong Python (FastAPI), Docker, Kubernetes experience.
• Deep AWS expertise; working knowledge of GCP and Azure.
• On-prem deployment experience (customer datacenters, GovCloud, air-gapped environments).
• Experience at Series B → pre-IPO startups or enterprise platform teams.
• U.S. citizen (required).
• Willing/able to work in NYC office 5 days/week and travel to customer sites.

  This role requires deep experience with cloud + on-prem deployments, MLOps infrastructure, Python (FastAPI), and container orchestration. This is a U.S. citizen only, on-site 5 days/week in NYC (SoHo), frequent client travel (~quarterly), $200k–$275k + equity.