Senior Agentic AI Engineer - Remote Work | REF#305426

BairesDev; Distrito Capital; Remote; VES 105,171,000 - 157,756,000; Full time

Benefits offered by this job

100% remote work

USD or local currency compensation

Hardware provided

Flexible hours

Paid parental leaves

Job summary

BairesDev is seeking a Senior Agentic AI Engineer to build full-stack AI apps and multi-agent systems that run reliably in production. The role spans backend services, agent architecture, and cloud infrastructure.

You'll work across the entire agentic AI stack, from MCP servers to developer tooling, with 100% remote work and compensation in USD. Join a global team of top engineers and grow through mentorship and opportunities.

Qualifications

• 4+ years of full-stack software engineering with Python and React.
• 2+ years building production LLM apps and MCP servers.
• Hands-on with Google ADK for multi-agent systems.
• Experience integrating OpenAI APIs and Gemini models.
• Experience with GCP serverless tech: Cloud Run, Vertex AI.
• Familiarity with Spotify Backstage for templates and portals.
• Proficient with Docker, Terraform, and CI/CD automation.
• Advanced English communication skills.

Responsibilities

• Architect and build high-performance microservices in Python (FastAPI) and React interfaces.
• Design and maintain MCP servers for agent access to tools.
• Develop RESTful and streaming APIs for real-time LLM outputs.
• Design and deploy multi-agent systems using Google ADK.
• Implement multi-model architectures with OpenAI, Gemini and others.
• Build routing, function-calling pipelines, and context management.
• Publish AI templates and MCP registries to Spotify Backstage.
• Deploy and scale AI services on GCP with CI/CD pipelines.
• Provision cloud resources using Terraform.

Skills

Python (FastAPI)

React

LLM applications

Google ADK

Docker

Terraform

CI/CD

English proficiency

Tools

GCP

OpenAI API

Spotify Backstage

Vertex AI

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

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!