AI (GenAI) Engineer

Quantum Technologies. LLC; Palo Alto, Northern (CA, KY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Quantum Technologies LLC is seeking AI/ML engineers to build GenAI-powered tools that accelerate network troubleshooting, including triage assistants and KPI summaries with grounded citations. You will design RAG pipelines, embeddings, vector search, and grounding strategies, while productionizing models with robust testing and CI/CD.

You will collaborate across data engineering, security, and RAN domain experts to deliver measurable impact, including MTTR reduction and fewer escalations, in a

Qualifications

• BS/MS in computer science, electrical engineering, data science, or related technical field; or equivalent practical experience.
• 3–5 years of experience in AI/ML engineering, data engineering, or applied data science delivering production-grade solutions.
• Strong Python and SQL skills; experience with large-scale telemetry/time-series datasets and reliable data transformations.
• Hands-on experience with Azure services for data/AI solutions, including Azure Functions, Azure DevOps, Git, and automated testing.

Responsibilities

• Build, deploy, and operate GenAI-powered tools that accelerate network troubleshooting with citations to data.
• Design and implement RAG pipelines: document prep, embeddings, vector search with re-ranking, grounding, and citation strategies.
• Ship reliable services: productionize models/prompts with CI/CD, automated tests, canary/A–B releases, monitoring, and SLOs.
• Implement evaluation and continuous monitoring: offline/online eval, golden sets, human-in-the-loop review, drift detection, cost budgets.
• Integrate with internal systems and tools: alarms, KPI platforms, ticketing, dashboards; close loop from detection to remediation.

Skills

GenAI development

RAG pipelines

Prompt design

Evaluation fundamentals

Production mindset

Security basics

4G/5G RAN concepts

KPIs & RCA outputs

Python

SQL

Azure services

Azure Functions

Azure DevOps

Git

Education

BS/MS in Computer Science / Electrical Engineering / Data Science or related field

Tools

Vector databases

Semantic Kernel

LangChain

LlamaIndex

MLflow

Model Registry

Azure DevOps

Git

Job description

• Build, deploy, and operate GenAI-powered tools that accelerate network troubleshooting: triage assistants, KPI summaries, anomaly detection/explanations, and recommended next actions with citations to source data.
• Design and implement RAG pipelines: document preparation (chunking/metadata), embeddings, vector search with re-ranking, grounding and citation strategies, semantic caching, and safety guardrails.
• Ship reliable services: productionize models and prompts with CI/CD, automated tests, canary/A–B releases, monitoring/alerts, and SLOs for accuracy, grounding, latency, and cost.
• Implement evaluation and continuous monitoring: offline and online eval harnesses, golden sets, human-in-the-loop review, prompt/knowledge drift detection, and token/cost budgets.
• Integrate with internal systems and tools: alarms and KPI platforms, ticketing, inventory/topology APIs, runbooks, and dashboards to close the loop from detection to remediation.
• Collaborate cross-functionally with data engineering, platform/security, and RAN SMEs to take use cases from discovery to production and iterate based on measurable impact (e.g., MTTR reduction, accuracy lift, fewer escalations).

Working knowledge of GenAI development patterns, including:

• Retrieval-Augmented Generation (RAG): chunking strategies, embeddings, hybrid search, re-ranking, grounding with citations, vector stores (e.g., Azure AI Search)
• Prompt design: system prompts, few-shot patterns, structured outputs (JSON/JSON Schema), function/tool calling
• Evaluation fundamentals: response quality, grounding, accuracy, latency, cost, and safety
• Production mindset: robust logging/monitoring, tracing, observability, troubleshooting; security basics (RBAC, managed identities, Key Vault, data privacy/PII handling), and operational readiness (rate limits, retries, timeouts, backoff, caching).
• Solid understanding of 4G/5G RAN and mobility concepts (e.g., handovers, drops, throughput, congestion, interference, PRB utilization, RSRP/RSRQ/SINR).
• Ability to translate network issues into measurable KPIs and investigative workflows, producing actionable outputs for operations and engineering (e.g., RCA steps, remediation recommendations, and change validation plans).

Preferred qualifications

• Built an internal assistant/copilot for network operations, triage, or RCA using KPIs, alarms, tickets, and documentation; experience grounding outputs with traceable evidence and citations.
• Experience with agentic workflows and orchestration (function/tool calling, multi-step chains, retries/guardrails) to automate diagnosis and propose actions.
• MLOps/LLMOps practices: CI/CD for pipelines/services, model/prompt/knowledge-based versioning, automated evaluations (e.g., RAG quality), drift monitoring, observability (OpenTelemetry), and cost/token controls.
• Familiarity with GenAI frameworks and tooling (e.g., Semantic Kernel, Lang Chain/LlamaIndex), MLflow/Model Registry, vector databases, and prompt/unit regression testing.
• Understanding of telecom standards and tooling: 3GPP concepts, vendor-specific counters (e.g., Ericsson/Nokia/Samsung)
• Relevant Azure certification (or in progress), especially Azure AI Engineer Associate.
• BS/MS in computer science, Electrical Engineering, Data Science, or a related technical field; or equivalent practical experience.
• 3–5 years of experience in AI/ML engineering, data engineering, or applied data science delivering production-grade solutions.
• Strong Python and SQL skills; mastery working with large-scale telemetry/time-series datasets and building reliable, testable data transformations.
• Hands-on experience with Azure services for data/AI solutions, including:
• Azure Functions or similar serverless compute
• Azure DevOps (or similar CI/CD tooling), Git, and automated testing

QUANTUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. QUANTUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will QUANTUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract