Senior Agentic AI Engineer - Remote Work | REF#305422

BairesDev; Bogotá ciudad; Remote; COP 382,153,000 - 573,230,000; Full time

Benefits offered by this job

100% remote work

USD or local currency compensation

Flexible hours

Home office setup

Job summary

BairesDev is seeking a Senior Agentic AI Engineer to build full-stack AI applications and multi-agent systems that run in production. This role spans backend services, agent architecture, and cloud infrastructure, letting you work across the entire agentic AI stack from MCP servers to developer tooling.

You will design microservices in Python and React, integrate OpenAI and Gemini models, and deploy on GCP. This position is 100% remote with flexible hours and competitive USD compensation.

Qualifications

• 4+ years of full-stack software engineering experience with Python and React.
• 2+ years building production LLM applications and agentic workflows.
• Experience with Google ADK and OpenAI/Gemini integrations.
• Strong background with GCP serverless infra (Cloud Run, Vertex AI) and Backstage.
• Fluency in English and experience with CI/CD automation.

Responsibilities

• Architect and build microservices in Python (FastAPI) and UI in React.
• Design MCP servers for secure agent access to tools and systems.
• Develop RESTful and streaming APIs for real-time LLM outputs and agent state.
• Design and deploy multi-agent systems using Google ADK.
• Integrate OpenAI, Gemini, and other LLMs in multi-model architectures.
• Build routing, function-calling, context management, and evaluation suites.
• Publish AI templates, APIs and MCP registries into Spotify Backstage.
• Deploy and scale AI services on GCP Cloud Run/Vertex AI; manage CI/CD with Cloud Build.
• Provision cloud resources (Pub/Sub, BigQuery, IAM, Secret Manager) via Terraform.

Skills

Python (FastAPI)

React

LLM applications

Agentic workflows

Docker

Terraform

CI/CD

GCP

English

Google ADK

MCP knowledge

Vector databases

Tools

Spotify Backstage

GCP Cloud Run

Vertex AI

CI/CD pipelines

Docker

Terraform

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!