Senior Agentic Ai Engineer - Remote Work | Ref#305429

BairesDev; São Paulo; Remote; BRL 611,000 - 916,000; Full time

Benefits offered by this job

Remote work

Competitive USD compensation

Flexible hours

Parental leave

Job summary

BairesDev, a global technology leader, is hiring a Senior Agentic AI Engineer. In this remote role, you will craft full‑stack AI applications, multi‑agent systems, and secure MCP servers.

You’ll work across backend services, architecture, and cloud infra, delivering scalable AI solutions for production environments. You will design microservices in Python/FastAPI and React, build LLM pipelines, and deploy on GCP with CI/CD pipelines.

Qualifications

• 4+ years of full‑stack software engineering experience.
• 2+ years building and running production LLM applications and MCP servers.
• Hands‑on experience with English language proficiency.

Responsibilities

• Architect and build high‑performance microservices in Python (FastAPI) and interfaces in React.
• Design and maintain MCP servers for secure agent access and develop RESTful/streaming APIs.
• Design and deploy multi‑agent systems using Google ADK and integrate multiple LLMs.
• Build routing logic, pipelines, and MCP registries; publish templates and APIs to Spotify Backstage.
• Deploy, containerize, and scale AI services on GCP Cloud Run and Vertex AI; manage CI/CD with Cloud Build.

Skills

Python

FastAPI

React

LLM integration

CI/CD

Docker

Terraform

GCP

English

Tools

Spotify Backstage

Google ADK

Vertex AI

OpenAI API

Job description

At Baires Dev® 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 Baires DevIn 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 (Fast API) 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, Web Sockets) 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 Open AI, 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.

What We Are Looking For

• 4+ years of full‑stack software engineering experience, with strong proficiency in Python (Fast API) 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 Open AI 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, Big Query 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 preferredHardware 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!#BD-PRIO-2026