Senior Agentic AI Engineer - Remote & Flexible Hours

BairesDev

Chile

Remote

CLP 118,343,000 - 177,515,000

Full time

4 days ago
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Benefits offered by this job

100% remote work
Excellent compensation in USD
Home office setup provided
Flexible hours
Parental leave and holidays

Job summary

BairesDev is seeking a Senior Agentic AI Engineer to develop full-stack AI applications and multi-agent systems. You will work across backend services, MCP servers, and cloud infrastructure to support production-grade AI solutions.

You will design, implement, and deploy AI microservices on GCP, integrate OpenAI/Gemini models, and contribute to developer tooling and templates for the engineering org.

Qualifications

  • 4+ years of full-stack software engineering experience (Python/React).
  • 2+ years building/operating production LLM apps and agentic workflows.
  • Hands-on with Google ADK for multi-agent systems.
  • Experience with OpenAI APIs, Gemini models, and third-party providers.
  • Experience with GCP serverless infra (Cloud Run, Vertex AI).
  • Familiarity with Spotify Backstage for templates.
  • Proficient in English.

Responsibilities

  • Architect and build high-performance microservices in Python (FastAPI).
  • Develop React interfaces and agent tooling.
  • Build MCP servers for secure agent access to tools.
  • Create RESTful/Streaming APIs for real-time LLM outputs.
  • Deploy multi-agent systems using Google ADK.
  • Implement multi-model architectures with OpenAI and other providers.
  • Publish templates and registries to Backstage.
  • Scale AI services on GCP and manage CI/CD pipelines.

Skills

Python (FastAPI)
React
LLM integrations
MCP servers
ADK
OpenAI API
AI orchestration
English proficiency

Tools

Docker
Terraform
CI/CD
GCP (Cloud Run, Vertex AI)

Job description

BairesDev is seeking a Senior Agentic AI Engineer to develop full-stack AI applications and multi-agent systems. You will work across backend services, MCP servers, and cloud infrastructure to support production-grade AI solutions.

You will design, implement, and deploy AI microservices on GCP, integrate OpenAI/Gemini models, and contribute to developer tooling and templates for the engineering org.

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