Remote Senior Agentic AI Engineer - Production‑Ready

BairesDev; Comisión de Fomento de Perú; À distance; ARS 212 038 000 - 318 057 000; Plein temps

Avantages offerts par ce poste

100% remote work

Competitive compensation in USD or own

Résumé du poste

BairesDev is seeking a Senior Agentic AI Engineer to build full-stack AI applications and multi-agent systems. You will work across backend services, agent architecture, and cloud infrastructure, enabling secure, scalable AI solutions.

The role emphasizes production-grade development, integration with multiple LLMs, and deployment on GCP with modern CI/CD and developer tooling. Strong English is required.

Qualifications

• 4+ years of full-stack software engineering experience with 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.

Responsabilités

• 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, Gemini, 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.

Connaissances

Advanced English

Outils

Python (FastAPI)

React

Docker

Terraform

CI/CD automation

GCP Cloud Run

Vertex AI

Spotify Backstage

OpenAI APIs

Gemini models

Google ADK

Description du poste

BairesDev is seeking a Senior Agentic AI Engineer to build full-stack AI applications and multi-agent systems. You will work across backend services, agent architecture, and cloud infrastructure, enabling secure, scalable AI solutions.

The role emphasizes production-grade development, integration with multiple LLMs, and deployment on GCP with modern CI/CD and developer tooling. Strong English is required.