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Senior AI Engineer

4 months ago
United States, Canada
Full-time
Senior
AI Engineer
Software Development
LLM Machine Learning .NET Python
Apply Now
NetSpeek

NetSpeek

NetSpeek is an AI-powered platform that automates and manages audiovisual (AV) and unified communications (UC) environments at scale. It primarily serves enterprises, managed service providers (MSPs), and vendors, focusing on cost reduction. The platform utilizes artificial intelligence to enhance operations in large-scale AV and UC setups, promoting efficient automation and management.

information technology & services
11-50
Founded 2024
View All Jobs 3

Description

  • Design and improve RAG pipelines that ground Lena’s diagnostic reasoning in telemetry, device state, and product documentation.
  • Build evaluation harnesses that measure groundedness, hallucination, refusal calibration, and action accuracy on every release.
  • Define the boundary between probabilistic AI suggestions and the platform’s deterministic action layer, including what actions are allowed and under what audit conditions.
  • Own AI cost and latency budgets for each workflow.
  • Partner with backend (.NET) and platform engineers to land changes safely in production.
  • Help ensure the reasoning layer performs reliably, observably, and auditably in customer environments.
  • Contribute to production AI behavior that supports enterprise endpoints and governed actions.

Requirements

  • 5+ years of machine learning engineering experience, or 5+ years combined experience 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.
  • Hands-on experience with RAG systems, including vector databases, embedding tuning, and retrieval optimization.
  • Experience building production evaluation pipelines for LLM performance, hallucination, and reliability.
  • Strong Python skills with production-level ML system implementation experience.
  • Track record operating under real product constraints such as latency, cost, observability, and safety.
  • Comfort being accountable for AI behavior in production.
  • Strong signal if you have designed agentic workflows with measurable performance improvements.
  • Strong signal if you have worked at AI-native startups that scaled from early traction to growth stage.
  • Strong signal if you have reduced hallucination and improved grounding in production systems.
  • Strong signal if you have done cost optimization at scale, including token modeling and caching strategies.
  • Strong signal if you are familiar with compliance-aware AI logging and enterprise audit requirements.
  • Strong signal if you defined evaluation pipelines before feature release rather than after.
  • Not a fit if your LLM experience is limited to experimentation, side projects, or non-production systems.
  • Not a fit if you are a backend engineer looking to pivot into AI.
  • Not a fit if your background is research-focused without production ownership.

Benefits

  • Flexible or unlimited time off.
  • Health insurance.
  • Equity participation, discussed at offer.
  • Fully remote work.
  • Architectural ownership of work that ships to real enterprise customers.
  • Direct working relationships with the people setting platform strategy.
  • A growth-stage platform where early decisions can shape the product for years.
  • AI-assisted tooling licensed by NetSpeek, such as Cursor, Claude Code, GitHub Copilot, or comparable tools.

Interested in this position?

Apply directly on the company website

Apply Now

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