Remote Forward-Deployed AI Engineer — TypeScript

FullStack

Perímetro Urbano Cúcuta

Remote

COP 381,607,000 - 572,410,000

Full time

4 days ago
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Benefits offered by this job

100% remote work
Competitive salary
PTO & holidays
English classes
Food card
Career advancement

Job summary

FullStack is hiring Forward Deployed Engineers who embed with client teams to architect, build, and operate AI-enabled systems. You will translate business problems into actionable AI solutions, balancing technical feasibility with practical delivery, and you will work across discovery, design, and deployment.

This role blends consulting and engineering in regulated, large-scale environments. You’ll lead client conversations, define roadmaps, and own delivery of end-to-end agentic architectures,

Qualifications

  • 5+ years of professional software development experience with at least one mainstream production stack.
  • 1-4 years of professional experience building and shipping LLM-powered AI systems beyond prototypes or demos.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Hands-on experience with frontier AI developer tools including Cursor, Claude Code, Gemini CLI, or OpenAI Codex.
  • Proven experience evaluating current-state environments and defining technical roadmaps.
  • Demonstrated experience with APIs, service design, event-driven and distributed systems, and data modeling.
  • Experience designing and owning CI/CD pipelines, including build, test, release, environments, and deployment processes.
  • Strong understanding of context and specification engineering to produce reliable AI output.
  • Solid understanding of enterprise integration patterns, including APIs, webhooks, event streams, iPaaS platforms such as n8n or MuleSoft, and MCP.
  • Track record of leading client-facing discovery calls, asking “why” before “how” to decompose unstructured business problems.
  • Skilled at exercising end-to-end delivery ownership and managing project scope without requiring product manager supervision.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile / Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work.
  • Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.

Responsibilities

  • Discover. Run workshops and process discovery with business and engineering stakeholders.
  • Structure the process and the spec. For any business or engineering process being automated, map the current state, decision points, and exceptions.
  • Architect & design. Design agentic systems end to end — orchestration, context and retrieval architecture, tool and MCP integration, guardrails, human-in-the-loop checkpoints, and the boundaries between deterministic and non-deterministic components.
  • Build. Ship working systems — agents, multi-step automations, internal tooling, integration layers.
  • Engineer the delivery system. Own CI/CD for what you build: build, test, release, environments.
  • Consult. Present to and defend decisions in front of CTOs, VPs of Engineering, and business leadership.

Skills

TypeScript/Node.js
Python
Java
C#/.NET
Go
LLM-powered AI
APIs/Service design
CI/CD pipelines
Agile/Scrum
Client-facing discovery

Education

Bachelor's degree

Tools

Cursor
Claude Code
Gemini CLI
OpenAI Codex

Job description

FullStack is hiring Forward Deployed Engineers who embed with client teams to architect, build, and operate AI-enabled systems. You will translate business problems into actionable AI solutions, balancing technical feasibility with practical delivery, and you will work across discovery, design, and deployment.

This role blends consulting and engineering in regulated, large-scale environments. You’ll lead client conversations, define roadmaps, and own delivery of end-to-end agentic architectures,

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