6 дней назад
Lead GenAI / AI-ML SME (Agentic AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
7 дней назад
AI / GenAI Engineering Lead (AI)
12 дней назад
Expert Consultant/ Project Leader/ Principal, Procurement GenAI
8 дней назад
AI Engineer (Generative AI)
7 дней назад
Senior AI Engineer (Agentic AI)
4 дня назад
Senior AI / GenAI & Agentic Engineer (LangGraph)
12 дней назад