Lead AI Engineer (Must Have Telecom Domain Exp) Remote

Remote • Posted 2 hours ago • Updated 2 hours ago
Contract Independent
Contract Corp To Corp
Contract W2
6 Months
No Travel Required
Remote
$75 - $80/hr
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • ("AI ENGINEER") AND (LLM) AND ("AGENTIC AI") AND ("TELECOM DOMAIN") AND ("GOOGLE VERTEX AI") AND (MCP) AND (ORCHESTRATION) AND (•) AND (CLI) AND (RAG)

Summary

 

Role: Lead AI Engineer (Must Have Telecom Domain Exp)

Location: 100% Remote

Long term Contract 

Must Have Telecom Domain

Responsibilities.

  • Lead implementation of the six agents (Orchestrator, Site Design Supervisor, Atoll RF Design via headless ATOLL through RFDA, Atoll Build Validation, FS Plot, RFDS New Build pass-through).
  • Lead the port-and-harden of the existing demo from POC Analysis/Demo.
  • Drive automated learning cycle v1 (auto-classify / auto-validate / sampled human review / governed writeback) into production.
  • Co-own with PID-04 the shared MCP server contracts so NB and MODS do not diverge.
  • Architect SME for any region-specific tuning conversation.

Must-have skills.

  • 7+ yrs production software engineering, of which ?3 yrs on LLM / agentic AI in production (not POC).
  • Hands-on Google Vertex AI (Agent Builder, Gemini models, RAG, embeddings, evaluation harness) — built and shipped at least one production-grade agent on Vertex.
  • MCP (Model Context Protocol) server design and implementation — built at least one production MCP server with guardrails, schemas, and rate limiting; or transferable equivalent (LangGraph tool-server, custom tool-calling protocol with hard-typed contracts).
  • Multi-agent orchestration patterns (state machine, retry/timeout policy, run-context persistence, compensating operations).
  • Python production-grade, with structured testing (pytest, type-checked, CI-integrated).

Should-have skills.

  • Integrated with a headless / CLI simulation tool driven by another team's API surface.
  • Built an adversarial validator or LLM-as-judge scoring loop with non-converge case handling.
  • Multi-region retrieval / KB with regional overlays.
  • Telecom or RF domain familiarity

Nice-to-have.

  • ATOLL / FUZE direct exposure.
  • Open-source contributions on agent frameworks (LangGraph, Vertex Agent Builder samples, MCP servers).
  • Prior demo work on the Verizon RFDS demo at POC Analysis/Demo/VerizonRFDSDemo (internal candidate

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10423087
  • Position Id: 10421-6733-
  • Posted 2 hours ago
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