Remote Forward-Deployed AI Engineer

FullStack Labs, Inc.

Oriental

Hybrid

COP 205,664,000 - 363,866,000

Full time

19 hours ago
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Job summary

FullStack Labs, Inc. is seeking a Forward Deployed AI Engineer for remote work in Colombia. You will embed with enterprise teams, architect AI-enabled solutions, and deliver production-grade agents integrated into real systems.

The role blends consulting, engineering, and operations, requiring deep AI and software engineering expertise. You’ll lead discovery, design, and implementation, taking ownership from hypothesis to deployed outcomes, with a focus on complex, regulated environments and

Qualifications

  • 8–10+ years of professional software development, backend-heavy and full-stack capable.
  • Production experience in TS/Node + React, Python, .NET/C#, or Java.
  • Strong in APIs, service design, event-driven and distributed systems, and data modeling.
  • Track record as a Solution Architect, Principal Engineer, or Tech Lead.
  • Designed and owned CI/CD — build, test, release and environments.
  • Applied AI: built and shipped LLM and agent systems beyond a demo.

Responsibilities

  • Discover: run workshops with business and engineering stakeholders.
  • Structure the process and the specs for automation.
  • Architect and design end-to-end agentic systems with orchestration and tool integration.
  • Build: ship working agents and automations; hands-on development and prototyping.
  • Engineer the delivery system: CI/CD, testing, releases and environments.
  • Consult: present decisions to CTOs/VPs and support pre-sales scoping.

Skills

Software development
TypeScript/Node + React
Python
APIs
CI/CD
Architectural design

Tools

MCP
Agent frameworks
Tool calling

Job description

FullStack Labs, Inc. is seeking a Forward Deployed AI Engineer for remote work in Colombia. You will embed with enterprise teams, architect AI-enabled solutions, and deliver production-grade agents integrated into real systems.

The role blends consulting, engineering, and operations, requiring deep AI and software engineering expertise. You’ll lead discovery, design, and implementation, taking ownership from hypothesis to deployed outcomes, with a focus on complex, regulated environments and

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