Remote AI Deployment Engineer

FullStack

Tandil

Remote

ARS 181,747,000 - 272,620,000

Full time

6 days ago
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Benefits offered by this job

Competitive pay
100% remote work
Work with leading startups and Fortune
Continuing education opportunities
Career growth opportunities

Job summary

FullStack is seeking Forward Deployed Engineers who embed with client teams to architect AI-enabled solutions. You’ll blend consultant, operator, and engineer roles to validate business cases and ship production-grade AI systems.

You’ll work inside client environments, handle discovery, design, and delivery, and defend architectural choices with CTOs and VPs of Engineering. Strong focus on end-to-end ownership and measurable impact.

Qualifications

  • 5+ years of professional software development with a mainstream stack.
  • 1-4 years building and shipping LLM-powered AI systems.
  • Advanced English is required.
  • Four-year college degree required.
  • Hands-on with frontier AI developer tools (Cursor, Claude Code, Gemini CLI, OpenAI Codex).
  • Experience APIs, service design, event-driven and distributed systems.
  • Experience owning CI/CD pipelines and deployments.

Responsibilities

  • Discover. Run workshops with business and engineering stakeholders to scope defensible AI work.
  • Structure the process and the spec for automated business steps.
  • Architect & design end-to-end agentic systems and integration layers.
  • Build. Ship working AI-enabled systems, prototypes to production.
  • Engineer the delivery system. Own CI/CD, environments, and releases.
  • Consult. Defend decisions with CTOs and engineering leaders; assist pre‑sales where needed.

Skills

software development
LLM AI systems
English proficiency
CI/CD pipelines
APIs and integration
Agile / Scrum

Education

Bachelor's degree in CS or related field

Tools

Cursor
Claude Code
Gemini CLI
OpenAI Codex

Job description

FullStack is seeking Forward Deployed Engineers who embed with client teams to architect AI-enabled solutions. You’ll blend consultant, operator, and engineer roles to validate business cases and ship production-grade AI systems.

You’ll work inside client environments, handle discovery, design, and delivery, and defend architectural choices with CTOs and VPs of Engineering. Strong focus on end-to-end ownership and measurable impact.

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