Senior Agentic AI Engineer - Remote Work | REF#306628

BairesDev

Chile

Remote

CLP 118.343.000 - 177.515.000

Vollzeit

Vor 3 Tagen
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Benefits dieser Stelle

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

Zusammenfassung

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.

Qualifikationen

  • 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.

Aufgaben

  • 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.

Kenntnisse

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

Tools

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

Jobbeschreibung

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Senior Agentic AI Engineer at BairesDev

In this role, you'll build full-stack AI applications and multi-agent systems that run reliably in production. This is a hands-on position spanning backend services, agent architecture, and the cloud infrastructure that supports them. This is your opportunity to work across the entire agentic AI stack, from custom MCP servers to developer tooling that accelerates the whole engineering organization.

What You'll Do
  • Architect and build high-performance microservices in Python (FastAPI) and responsive interfaces in React.
  • Design, build, and maintain custom Model Context Protocol (MCP) servers for secure, standardized agent access to external tools and systems.
  • Develop RESTful and streaming APIs (Server-Sent Events, WebSockets) to handle real-time LLM outputs and agent state.
  • Design and deploy multi-agent systems using Google's Agent Development Kit (ADK).
  • Implement multi-model architectures integrating OpenAI, Claude, and other leading LLMs.
  • Build routing logic, function-calling pipelines, context management, and evaluation suites to benchmark agent performance.
  • Publish AI microservice templates, agent APIs, and MCP registries into Spotify Backstage for engineering self-service.
  • Deploy, containerize, and scale AI services on GCP Cloud Run and Vertex AI, and manage CI/CD pipelines with GCP Cloud Build.
  • Provision cloud resources (Pub/Sub, BigQuery, IAM, Secret Manager) using Terraform.
What We Are Looking For
  • 4+ years of full-stack software engineering experience, with strong proficiency in Python (FastAPI) and React.
  • 2+ years building and running production LLM applications, agentic workflows, and custom MCP servers.
  • Hands-on experience developing multi-agent systems with Google ADK.
  • Background integrating with OpenAI APIs, Gemini models, and third-party model providers.
  • Experience with GCP serverless infrastructure, specifically Cloud Run, Cloud Build, and Vertex AI.
  • Familiarity integrating service templates and developer portals via Spotify Backstage.
  • Daily experience using AI-assisted development workflows with Cursor and Codex.
  • Hands-on proficiency with Docker, Terraform, and CI/CD automation.
  • Advanced proficiency in English.
Nice To Have
  • Advanced understanding of the Model Context Protocol (MCP) specification, custom transports, and security guardrails.
  • Experience building real-time React components for streaming text, audio, and agent trajectory visualization.
  • Familiarity with vector databases (Pinecone, Qdrant, BigQuery Vector Search) and hybrid retrieval strategies.
How we do make your work (and your life) easier:
  • 100% remote work (from anywhere).
  • Excellent compensation in USD or your local currency if preferred
  • Hardware and software setup for you to work from home.
  • Flexible hours: create your own schedule.
  • Paid parental leaves, vacations, and national holidays.
  • Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
  • Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!

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