Logo Newt Global

[Remote] 100% Remote -Senior AI Engineer /Agentic AI /LLM

Newt Globalvia Jobright
RemotoUsSêniorCLTHoje

Salário Estimado

R$ 12.375,00 - R$ 18.563,00

0de 100

Regular

Score da Vaga

Descrição da Vaga

Note: The job is a remote job and is open to candidates in USA.


Newt Global is seeking a Senior AI Engineer with proven enterprise-grade experience in agentic AI architectures.


The role requires expertise in multi-agent orchestration, LLM evaluation frameworks, and strong data science foundations to support model selection and performance analysis.


Skills • Proven enterprise-grade experience with agentic AI architectures - not theoretical knowledge, but real deployments at scale

Expertise across multi-agent orchestration (e.g.

AutoGen, Semantic Kernel, LangGraph or similar) • LLM evaluation frameworks including LLM-as-a-judge methodologies

Content safety tooling and responsible AI practices • Strong data science foundations to support model selection, evaluation, and performance analysis Company Overview
Newt Global is a global Information Technology and Consulting company which focuses on Cloud Transformation, DevOps & Digital Initiatives.

It was founded in 2004, and is headquartered in Texas, South Carolina, USA, with a workforce of 501-1000 employees.


Its website is https://newtglobal.com/.


Company H1B Sponsorship • Newt Global has a track record of offering H1B sponsorships, with 7 in 2025, 1 in 2024, 5 in 2023, 5 in 2022, 4 in 2021, 15 in 2020.


Please note that this does not guarantee sponsorship for this specific role.

Requisitos

  • Proven enterprise-grade experience with agentic AI architectures - not theoretical knowledge, but real deployments at scale
  • Expertise across multi-agent orchestration (e.g. AutoGen, Semantic Kernel, LangGraph or similar)
  • LLM evaluation frameworks including LLM-as-a-judge methodologies

Responsabilidades

  • The role requires expertise in multi-agent orchestration, LLM evaluation frameworks, and strong data science foundations to support model selection and performance analysis
  • Content safety tooling and responsible AI practices
  • Strong data science foundations to support model selection, evaluation, and performance analysis

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Informações

NívelSênior
ContratoCLT
LocalUs
RemotoSim
MoedaBRL
PublicadaHoje
FonteJobright

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