Principal Engineer - Complex Distributed Systems for AI Intelligence Platform

Role Overview

We are seeking a highly skilled Principal Engineer to architect and develop intricate distributed systems powering an advanced AI Intelligence Platform. This is a hands-on technical position requiring ownership of a critical workstream throughout the entire development lifecycle—from initial design and implementation to deployment and production monitoring—collaborating closely with a technically proficient founding team.

Key Responsibilities and Expectations

• Lead the design and construction of complex production-grade distributed systems with a focus on scalability and reliability.
• Exercise expert Python programming abilities, specifically with Pydantic, asyncio, and strong typing techniques.
• Design and implement data-intensive, event-driven systems that meet stringent performance requirements.
• Utilize Kubernetes, Docker, Helm, and modern CI/CD pipelines to maintain deployment efficiency and system robustness.
• Develop fault-tolerant architectures, manage data pipelines, handle schema evolution, and ensure comprehensive system observability.
• Demonstrate strong architectural judgment, capable of operating independently in ambiguous and evolving technical environments.
• Maintain a builder’s mindset by personally designing, building, and operating production systems rather than only doing high-level design.

Preferred Additional Expertise

• Familiarity with Dagster and Ray for orchestration and distributed computing.
• Experience working with knowledge graphs and vector databases.
• Knowledge of on-premises or air-gapped large language model (LLM) infrastructures.
• Background in sovereign AI, intelligence gathering, OSINT platforms, or other mission-critical systems.

Ideal Candidate Profile

The ideal candidate is a deep-technology engineer with a proven record of building challenging technology solutions in production environments. Candidates with backgrounds in AI infrastructure, distributed systems, autonomous technologies, or leading-edge AI and technology organizations are highly valued. The role demands a rare combination of engineering excellence, research capacity, and hands-on coding abilities above consultancy or non-coding architectural design.