Senior AI Deployment Engineer — Remote (EU)

Nearform

United States

Remote

USD 60,000 - 74,000

Full time

7 days ago
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Benefits offered by this job

Annual bonus
Remote work
PTO 28 days
Remote allowance
Training & development
Healthcare
Pension plan

Job summary

Nearform is seeking a Forward Deployed Engineer to deliver agentic platforms within client environments, focusing on scalable AI-driven solutions that operationalise LLM-powered agents across products and teams.

You will collaborate with client stakeholders and delivery teams to build and roll out agentic capabilities that integrate with enterprise systems and frameworks, including Kubernetes deployments across cloud, on-premise and hybrid setups.

Qualifications

  • Significant experience delivering at a Senior Engineer level with 8+ years of commercial work.
  • Ability to design and build agentic platforms using Python and modern AI frameworks.
  • Experience architecting LLM orchestration and multi-agent systems within enterprise settings.

Responsibilities

  • Build and deploy agentic platforms within client environments.
  • Deploy scalable AI-driven solutions enabling LLM-powered agents across products, processes and teams.
  • Architect orchestration of LLMs using frameworks like LangGraph, CrewAI, AutoGen.
  • Integrate agentic platforms with client systems, APIs, data platforms, cloud services and enterprise apps.
  • Design deployment architectures across cloud, on-premise and hybrid environments.

Skills

Senior Engineer experience
Team collaboration
Client engagements

Tools

Python
LangGraph
CrewAI
AutoGen
Kubernetes
Golang
React

Job description

Nearform is seeking a Forward Deployed Engineer to deliver agentic platforms within client environments, focusing on scalable AI-driven solutions that operationalise LLM-powered agents across products and teams.

You will collaborate with client stakeholders and delivery teams to build and roll out agentic capabilities that integrate with enterprise systems and frameworks, including Kubernetes deployments across cloud, on-premise and hybrid setups.

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