Forward-Deployed AI Engineer (Python) – Client-Facing

FullStack

Chile

Remote

CLP 117,417,000 - 185,910,000

Full time

4 days ago
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Benefits offered by this job

100% remote work
Competitive pay
Continuing education opportunities
Career growth opportunities

Job summary

FullStack is seeking Forward Deployed Engineers who embed with client teams, architect AI-powered solutions, and deliver end-to-end systems that survive production. You will combine consulting, engineering, and operational work to validate business value in production environments.

You will work with Fortune 500 clients, regulators, and enterprise stakeholders to design data- and retrieval-driven architectures, ensuring trustworthy agent behavior and scalable deployments across complex domains.

Qualifications

  • Advanced English is required.
  • Bachelor’s degree in a relevant field.
  • 5+ years of software development experience.
  • 4+ years shipping agentic AI solutions.
  • Experience with LangGraph, LangChain, N8N, or MCP/LLM APIs is a plus.

Responsibilities

  • Discover with business, data, and engineering stakeholders and assess data readiness honestly.
  • Structure processes and specs for automated business workflows.
  • Architect end-to-end agentic systems with emphasis on data, retrieval, and context.
  • Build working AI-enabled systems and evaluation tooling.
  • Own CI/CD for AI-enabled products, including prompt/versioning and eval suites.
  • Operate Day 2: monitoring, observability, drift, and cost control.
  • Support pre-sales scoping and technical proposal defense.

Skills

Advanced English
Client-facing discovery
Architectural design
Agile / Scrum
End-to-end delivery ownership
Production AI experience

Education

Four-year college degree

Tools

Cursor
Claude Code
Gemini CLI
OpenAI Codex

Job description

FullStack is seeking Forward Deployed Engineers who embed with client teams, architect AI-powered solutions, and deliver end-to-end systems that survive production. You will combine consulting, engineering, and operational work to validate business value in production environments.

You will work with Fortune 500 clients, regulators, and enterprise stakeholders to design data- and retrieval-driven architectures, ensuring trustworthy agent behavior and scalable deployments across complex domains.

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