Senior AI Engineer| AI-Native Orchestration Platform
About NetSpeek
NetSpeek is building an AI-native orchestration platform for enterprise physical environments such as meeting rooms, AV stacks, collaboration devices, and hybrid work infrastructure.
Our AI, Lena, reasons over device state, retrieves structured knowledge, executes actions, and operates under enterprise constraints.
The Profile We Are Targeting
You come from a company where AI was the product, not a feature.
You have worked in a growth-stage AI SaaS environment where:
Reliability mattered
Evaluation was formalized
AI performance was measured continuously
Shipping velocity increased under scale pressure
Customers depended on the system
What You Will Own
Design and evolution of agentic reasoning flows
Retrieval quality, embedding strategies, and grounding discipline
Model evaluation pipelines and reliability metrics
Hallucination detection and mitigation strategies
Structured output design for safe action execution
Human-in-the-loop escalation logic
AI cost optimization under real usage patterns
Model selection and experimentation discipline
You will work directly with:
AI Team Lead for architectural direction
EVP Product and Engineering for system-level strategy
Backend engineers for execution integration
UX for AI interaction flows
This role shapes how intelligence behaves in our platform.
Requirements
5+ years in machine learning engineering or combination of 5+ years with ML and applied AI systems
2+ years building and shipping LLM-powered systems in a growth-phase AI SaaS company
Hands-on experience with RAG systems including vector databases, embedding tuning, retrieval optimization
Experience building evaluation pipelines for LLM performance and reliability
Strong Python with production-level ML system implementation
Experience operating under real product constraints such as latency, cost, observability, and safety
High Signal Indicators
Experience designing agentic workflows with measurable performance improvements
Exposure to AI-native startups that scaled from early traction to growth stage
Experience reducing hallucination and improving grounding in production
Cost optimization experience at scale including token modeling and caching strategies
Familiarity with compliance-aware AI logging and enterprise requirements
What Senior Means at NetSpeek
You can:
Translate ambiguous AI goals into structured system design
Define evaluation before feature release
Anticipate model failure modes
Balance probabilistic reasoning with deterministic safeguards
Improve systems iteratively using data
Find solutions rather than pointing problems
You are comfortable being accountable for AI behavior in production.
We are building a defensible AI orchestration layer.
The person in this seat will influence:
How Lena reasons and acts
How safe and reliable our automation becomes
How scalable and cost-efficient our AI architecture is
How strong our technical moat becomes
This is a foundational, high-leverage position inside an AI-native company that is scaling.