Senior AI Engineer

NetSpeek
Remote

About The Position

NetSpeek is the agentic control plane for enterprise physical infrastructure. We govern how AI agents reason about, decide on, and execute actions across enterprise endpoints. Our reasoning and execution layer — Lena — sits in customer production environments, where reliability, observability, and auditability are non-negotiable. The Senior AI Engineer owns Lena's reasoning layer end-to-end: retrieval, grounding, evaluation, and the boundary between AI suggestions and governed actions.

Requirements

  • 5+ years in machine learning engineering, or 5+ years combined across ML and applied AI systems
  • 2+ years building and shipping LLM-powered systems in a growth-phase AI SaaS company where AI was the product, not a side feature
  • Hands-on experience with RAG systems including vector databases, embedding tuning, and retrieval optimization
  • Experience building evaluation pipelines for LLM performance, hallucination, and reliability in production
  • Strong Python with production-level ML system implementation
  • Track record operating under real product constraints: latency, cost, observability, and safety
  • Comfortable being accountable for AI behavior in production

Nice To Haves

  • Designed agentic workflows with measurable performance improvements
  • Worked at AI-native startups that scaled from early traction to growth stage
  • Reduced hallucination and improved grounding in production systems
  • Cost optimization at scale, including token modeling and caching strategies
  • Familiarity with compliance-aware AI logging and enterprise audit requirements
  • Defined evaluation pipelines before feature release rather than after

Responsibilities

  • Designing and improving RAG pipelines for grounding Lena's diagnostic reasoning in structured operational telemetry, device state, and product documentation.
  • Building evaluation harnesses that measure groundedness, hallucination, refusal calibration, and action accuracy on every release.
  • Setting the boundary between Lena's probabilistic reasoning and the platform's deterministic action layer — what she's allowed to do, when, and under what audit.
  • Owning AI cost and latency budgets per workflow.
  • Partnering with backend (.NET) and platform engineers to land changes safely.

Benefits

  • Flexible / unlimited time off
  • Health insurance
  • Equity participation, discussed at offer
  • AI-assisted tooling licensed by NetSpeek (Cursor, Claude Code, GitHub Copilot, or comparable)
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