AI-Focused Software Developer: LLM Orchestration & Agents

Ethereum Technologies

Palo Alto (CA)

Presencial

USD 91.000 - 124.000

Jornada completa

hace 8 horas
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Descripción de la vacante

Ethereum Technologies seeks an AI-focused Software Developer in Palo Alto to design and build AI-powered applications using Python and Go. You will implement LLM orchestration, agentic workflows, multi-agent systems, and MCP integrations across AWS/GCP.

Responsibilities include developing REST/GraphQL APIs, managing data with SQL/NoSQL, and ensuring observability, cost optimization, and scalable deployment with Docker/Kubernetes. US work authorization required.

Formación

  • Strong Python development experience; Go is a plus.
  • LLM orchestration and Agentic AI workflows.
  • Multi-agent systems and Model governance.
  • MCP integrations and custom MCP server development.
  • LangGraph, Google ADK, Mastra, and Claude Agent SDK.

Responsabilidades

  • Design, develop, and maintain AI-powered applications using Python.
  • Build LLM orchestration, agentic workflows, and multi-agent systems.
  • Implement MCP integrations and custom MCP servers.
  • Develop REST and GraphQL APIs for AI-powered applications.
  • Deploy and manage AI solutions across AWS and GCP.
  • Work with SQL and NoSQL databases for data management.

Conocimientos

Python
Go
LLM orchestration
Agentic AI workflows
Multi-agent systems
MCP integrations
LangGraph
Claude Agent SDK
REST APIs
GraphQL APIs
AWS
GCP
Databases
RAG
Docker
Kubernetes

Herramientas

OpenAI SDK
Anthropic SDK
Langfuse
LangSmith
Braintrust
GitHub Copilot
Cursor
Windsurf
Docker
Kubernetes

Descripción del empleo

Ethereum Technologies seeks an AI-focused Software Developer in Palo Alto to design and build AI-powered applications using Python and Go. You will implement LLM orchestration, agentic workflows, multi-agent systems, and MCP integrations across AWS/GCP.

Responsibilities include developing REST/GraphQL APIs, managing data with SQL/NoSQL, and ensuring observability, cost optimization, and scalable deployment with Docker/Kubernetes. US work authorization required.

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