We are looking for a Principal Engineer who will sit at the technical center of our AI platform—owning architecture, standards, and production excellence across the stack. This is not a pure research role, nor a model R&D position.

You will lead the productionization of GenAI systems—owning evaluation pipelines, tracing and observability, inference orchestration, safety guardrails, dataset/prompt workflows, and developer-facing tooling. You will translate ambiguous product problems into reliable, scalable platform capabilities that customers trust with production workloads.

You will operate as a force multiplier—setting architectural standards, mentoring senior engineers, influencing roadmap trade-offs, and partnering directly with product and executive leadership to shape technical direction.

Required Experience

• 10+ years of software engineering experience with recent hands-on coding

• Experience operating at Principal / Distinguished / Staff / Lead Engineer level (or equivalent while still coding)

• Proven ownership of production GenAI systems (RAG, eval frameworks, inference services, safety/guardrails, tracing/observability)

• Deep expertise in Python

• Strong practical capability in TypeScript, React, and Node.js

• Strong cloud and platform experience (AWS/GCP/Azure, Kubernetes, CI/CD, distributed systems)

• Experience driving multi-team architecture decisions

• Ability to communicate trade-offs clearly to senior leadership

Strong Plus

• RAG evaluation frameworks (ragas, custom eval harnesses)

• Vector databases (Pinecone, Weaviate, Milvus, Qdrant)

• OpenTelemetry instrumentation

• Performance optimization of inference systems

• Exposure to blockchain/tamper-evidence concepts

• Own technical vision and architecture across GenAI platform capabilities

• Lead end-to-end productionization of AI features (not prototypes)

• Define and operate readiness criteria for AI releases (eval gates, rollout strategy, rollback mechanisms, SLOs)

• Design and own core platform capabilities:

  • Evaluation pipelines

  • Tracing and observability systems

  • Prompt/version/dataset workflows

  • Guardrails and safety systems

  • Inference orchestration layers

• Establish and track metrics for latency (p95/p99), cost efficiency, quality, and safety

• Write clear architectural proposals that influence multi-team decisions

• Partner with Product to translate ambiguous user pain into staged technical delivery

• Raise the engineering bar through reviews, documentation, mentoring, and principled system design

• Contribute hands-on across Python services, Node/TypeScript APIs, and React UI when necessary

• Join at the ground floor of a GenAI infrastructure company defining a new category

• Shape the technical foundation before the architecture calcifies

• Work directly with senior product and engineering leadership

• Build production systems that AI teams depend on daily

• Fully remote

• ESOP equity

• Flexible hours

• Generous PTO

• Global offsites

• Education support

• Clear advancement path