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Quantum Technologies LLC Logo
AI (GenAI) Engineer

Quantum Technologies LLC

 

Palo Alto, CA, USA

Posted On: Just posted
Experience: 5+ years
Availability: Onsite
Openings: 1
Category: GenAI Engineer
Tenure: Contract - Corp-to-Corp
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Description

Build, deploy, and operate GenAI-powered tools that accelerate network troubleshooting, including triage assistants, KPI summaries, anomaly detection, and recommended next actions.

This role is on-site.

Responsibilities

  • Design and implement RAG pipelines covering document preparation, embeddings, vector search with re-ranking, grounding, and citation strategies.
  • Productionize models and prompts using CI/CD, automated tests, canary/A–B releases, and defining SLOs for accuracy, grounding, latency, and cost.
  • Implement evaluation and continuous monitoring harnesses, including offline/online eval, golden sets, and prompt/knowledge drift detection.
  • Integrate solutions with internal systems like alarms, ticketing platforms, and topology APIs to support detection through remediation.
  • Collaborate with data engineering and RAN SMEs to move use cases from discovery to production based on measurable impact.

Required Skills

  • 3–5 years of experience in AI/ML engineering, data engineering, or applied data science delivering production-grade solutions.
  • Strong proficiency in Python and SQL, with mastery over large-scale telemetry/time-series data transformations.
  • Hands-on experience with Azure services for data/AI, specifically Azure Machine Learning and Azure AI Services/Azure OpenAI.
  • Deep understanding of GenAI patterns: RAG (chunking, embeddings, vector stores like Azure AI Search), prompt design (few-shot, structured output), and function calling.
  • Familiarity with MLOps/LLMOps practices including CI/CD for pipelines, model versioning, and drift monitoring.
  • Knowledge of core RAN and mobility concepts (4G/5G, handover, SINR, etc.) and translating network issues to KPIs.
  • Experience with Git, Data Engineering principles, and Automated Testing.
  • Familiarity with core data processing tools like Spark and Databricks.

Preferred Skills

  • Experience building internal assistants/copilots grounded with traceable evidence and citations.
  • Experience with agentic workflows and orchestration using function/tool calling.

Education

Any Gradute

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