Forward Deployed AI Engineer (TypeScript) - Remote - Latin America

FullStack; Salta; Remote; ARS 91,725,000 - 183,450,000; Full time

Job summary

FullStack is seeking Forward Deployed Engineers who embed with an enterprise team, find the work that actually warrants AI, architect the system, build it, and ensure it runs in production.

This is a three‑way role: consultant, operator, engineer, with the ability to discuss a COO-level business case and still ship what you scoped on Thursday. You’ll integrate agents into client workflows and delivery pipelines on regulated, Fortune 500 engagements.

Qualifications

• Experience embedding AI into client systems and workflows.
• Ability to translate business needs into actionable AI architecture.
• Comfort working with senior stakeholders (COO/VP Engineering).

Responsibilities

• Embed with client teams and identify AI workloads.
• Architect, build and deploy AI-enabled solutions in production environments.
• Maintain delivery pipelines and ensure reliability of integrations.

Skills

Consulting

Operator

Engineer

Tools

LLM tooling

Job description

About FullStack

FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.

We're Most Proud Of

• Offering life-changing career opportunities to talented software professionals across the Americas.
• Building highly-skilled software development teams for hundreds of the world’s greatest companies.
• Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
• Our 4.1-star rating on GlassDoor.
• Our client Net Promoter Score of 68, twice the industry average.

The Position

Forward Deployed Engineers sit inside the client’s problem, not next to it. You embed with an enterprise team, find the work that actually warrants AI, architect the system, build it, and make it hold up in the real environment.

This is a three-way role: consultant, operator, engineer. You should be as comfortable pressure‑testing a business case with a COO or VP of Engineering as you are debugging why an agent’s tool‑calling loop degraded after a context change. The people who succeed here can hold a discovery conversation on Monday and ship what they scoped on Thursday.

On this track, your edge is application engineering: you make agents real inside the client’s actual systems, workflows, and delivery pipelines.

We work with regulated industries and Fortune 500 clients who have AI mandates, real constraints, and low tolerance for demos that don't hold up.

How We Approach The Work

FDEs are trusted to shape the solution, not only deliver it. Every engagement calls for architect‑level judgment:

• Reframes the request. Treats "we need an agent for X" as a hypothesis, not a spec.
• Decomposes the problem. Outcome → process → decisions → data → systems → actors → constraints — before choosing technology.
• Chooses the intervention. Remove, simplify, traditional software, automation, LLM, RAG, agent, or multi‑agent — and defends why.
• Owns the architecture decision. Documents trade‑offs (ADRs), sets success metrics, pushes back on scope that won't deliver value.

Consultative Discovery

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