People In AI · 16 hours ago
Principal AI Engineer
People In AI is an early-stage AI infrastructure startup focused on solving significant challenges in generative AI. They are seeking a Principal AI Engineer to help enhance the reliability and observability of production AI systems, focusing on architecture and system-level solutions rather than feature development.
Responsibilities
Help solve the reliability, observability, and remediation gaps holding back production GenAI
Build the trust layer around LLM, RAG, and agentic systems
Enable engineers to understand AI behavior, diagnose failures, and apply verified fixes
Shape architecture for GenAI evaluation, tracing, and remediation systems
Advise on real-world behavior of LLM, RAG, and agentic workflows
Design approaches to diagnosing AI failures and guiding engineers toward fixes
Influence platform direction through deep applied AI expertise
Support high-impact technical decisions across the company
Qualification
Required
Engineering experience with deep exposure to applied AI systems
Hands-on experience shipping LLM, RAG, or agent-based systems into production
Strong systems thinking and architectural judgment
Familiarity with evaluation frameworks, guardrails, or AI reliability patterns
Comfort operating in ambiguity and shaping direction early
Ability to communicate complex AI tradeoffs clearly to engineers and leaders
Benefits
Meaningful equity
Flexible working environment with periodic off-sites
Company
People In AI
At People in AI, we specialize in staffing solutions for the rapidly expanding AI sector.
Funding
Current Stage
Early StageCompany data provided by crunchbase