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6 дней назад

Lead GenAI / AI-ML SME (Agentic AI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
lead
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead GenAI / AI-ML SME (Agentic AI): Designing and building LLM-powered agents, multi-agent workflows, and RAG capabilities for network anomaly detection with an accent on agent orchestration, tool calling, prompt engineering, and reliable AI-assisted operations. Focus on architecting production-scale systems, connecting network data and incident knowledge, and guiding technical strategy across engineering and stakeholder teams.

Location: Remote with MST time zone alignment

Company

Multinational telecom technology company developing AI capabilities for network monitoring, diagnosis, and operational improvement.

What you will do

  • Shape the solution design and implementation strategy for an agentic AI program focused on network anomaly detection.
  • Design and build LLM-powered agents and multi-agent workflows for anomaly detection, triage, root-cause investigation, and operational insight generation.
  • Develop RAG capabilities connecting network data, documentation, incident history, and knowledge bases.
  • Define technical practices for prompt engineering, tool calling, agent routing, structured outputs, streaming, and evaluation.
  • Partner with architects, engineers, data teams, product owners, and client stakeholders to deliver AI capabilities.
  • Lead code reviews, architecture discussions, sprint delivery, and knowledge sharing across the GenAI engineering team.

Requirements

  • Strong Python software engineering experience with hands-on GenAI, AI/ML, or LLM application delivery.
  • Experience with LangChain, LangGraph, or equivalent agentic AI frameworks.
  • Strong understanding of LLM APIs, tool calling, prompt engineering, structured outputs, streaming, and agent orchestration.
  • Experience designing RAG solutions with embeddings, vector search, hybrid retrieval, re-ranking, and answer generation.
  • Technical SME experience with communication, consulting, solution design, and stakeholder-facing responsibilities.
  • Working knowledge of cloud AI services, APIs, databases, observability, testing, and production deployment practices.

Nice to have

  • Experience with network operations, anomaly detection, incident analysis, telecommunications, or enterprise operations.
  • AWS, Azure, or Google Cloud AI/ML certification.
  • Training or certification in artificial intelligence, machine learning, data engineering, cloud architecture, or software engineering.
  • Network, telecom, or operations-focused certifications.

Culture & Benefits

  • Remote contract engagement for one year.
  • High-visibility work with direct influence on technical strategy and architecture.
  • Opportunity to mentor engineering teams and guide production-scale GenAI delivery.

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