Senior AI Engineer
New
N
NetSpeekAI Infrastructure
United States. CanadaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years in machine learning engineering, or 5+ years combined across ML and applied AI systems
- Required Skills
- PythonMachine Learning
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.
- 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.
- Experience designing agentic workflows with measurable performance improvements.
- Experience working at AI-native startups that scaled from early traction to growth stage.
- Familiarity with compliance-aware AI logging and enterprise audit requirements.
Responsibilities
- Design and improve RAG pipelines for grounding diagnostic reasoning in structured operational telemetry and documentation.
- Build evaluation harnesses that measure groundedness, hallucination, refusal calibration, and action accuracy on every release.
- Set the boundary between probabilistic reasoning and platform deterministic action layers.
- Manage AI cost and latency budgets per workflow.
- Partner with backend (.NET) and platform engineers to land changes safely.
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