Remote Forward-Deployed AI Engineer (Python)

FullStack

Ibagué

Remote

COP 291.319.000 - 453.162.000

Vollzeit

vor 16 Stunden
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Remote work (100%)
Competitive salary
Paid time off
English classes
Food card
Career advancement opportunities
Continuing education opportunities

Zusammenfassung

FullStack is seeking a Senior Forward Deployed Engineer to embed with enterprise teams, architect AI-enabled solutions, and deliver production-grade systems across client environments. You will blend consulting, engineering, and deployment work to ensure AI initiatives survive production and deliver measurable value.

You will lead discovery, design robust data and retrieval architectures, and own end-to-end delivery including CI/CD and operational guardrails, working closely with business

Qualifikationen

  • 8–10+ years across ML, data, and software engineering.
  • Python-first production-grade development; proficiency in TypeScript/Node, .NET or Java is a plus.
  • Track record as ML/Data Architect, Principal Engineer, or Tech Lead.
  • Designed and owned CI/CD for AI/ML systems (LLMOps / MLOps).

Aufgaben

  • Discover with stakeholders; assess data readiness; separate AI problems from workflow problems.
  • Structure current state to specifications for automation.
  • Architect end-to-end agentic systems with retrieval architecture.
  • Build working agents and data flows; prototypes in weeks.
  • Own CI/CD for AI: prompts, versioning, and eval pipelines.
  • Operate Day 2: evaluation, observability, cost management, and handoff.
  • Consult with CTOs/VPs; support pre‑sales and scoping.

Kenntnisse

ML/Data Architect
Senior engineering
Python
TypeScript/Node
Java/.NET
CI/CD for ML

Tools

Claude Code
Agent frameworks
MCP
Tool/function calling
Multi-agent orchestration

Jobbeschreibung

FullStack is seeking a Senior Forward Deployed Engineer to embed with enterprise teams, architect AI-enabled solutions, and deliver production-grade systems across client environments. You will blend consulting, engineering, and deployment work to ensure AI initiatives survive production and deliver measurable value.

You will lead discovery, design robust data and retrieval architectures, and own end-to-end delivery including CI/CD and operational guardrails, working closely with business

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