Senior Agentic AI Engineer - Remote Work

BairesDev; Brasil; Remote; BRL 767,000 - 986,000; Full time

Benefits offered by this job

100% remote work

Competitive USD or local currency pay

Home setup provided

Flexible hours

Job summary

BairesDev is seeking a Senior Agentic AI Engineer to design and scale AI-powered microservices remotely. You’ll work across Python, FastAPI, and React, building robust LLM pipelines and MCP servers. You’ll deploy multi-model architectures and orchestrate agent workflows in a dynamic, global team.

Your role includes integrating with major providers, using GCP tools, and delivering templates and APIs via Spotify Backstage. This position is fully remote with flexible hours and global collaboration.

Qualifications

• 4+ years of full-stack software engineering experience.
• 2+ years building and running production LLM applications and agentic workflows.
• Hands-on experience with Google ADK.
• Experience integrating with OpenAI APIs and Gemini models.
• Experience with GCP serverless infrastructure (Cloud Run, Cloud Build, Vertex AI).
• Familiarity with Spotify Backstage for developer portals.
• Proficiency with Docker, Terraform, and CI/CD automation.
• Advanced proficiency in English.

Responsibilities

• Architect and build high-performance microservices in Python (FastAPI) and responsive interfaces in React.
• Design, build, and maintain MCP servers for secure, standardized agent access to external tools and systems.
• Develop RESTful and streaming APIs to handle real-time LLM outputs and agent state.
• Design and deploy multi-agent systems using Google ADK.
• Implement multi-model architectures integrating OpenAI, Gemini, and other leading LLMs.
• Build routing logic, function-calling pipelines, context management, and evaluation suites.
• 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.

Skills

Python (FastAPI)

React

LLM application development

Multi-agent systems

MCP servers

Agentic workflows

CI/CD automation

English proficiency

Tools

Docker

Terraform

CI/CD pipelines

GCP Cloud Run

Vertex AI

Spotify Backstage

Google ADK

Job description

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

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.

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 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.