Embedded Production GenAI Architect on AWS

Provectus

Bogotá ciudad

Híbrido

COP 70.000.000 - 120.000.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Remote-friendly culture
High-impact role
Performance-based bonuses
Medical insurance coverage
Education budget

Descripción de la vacante

Provectus is seeking a senior forward-deployed AI engineer to embed with client teams, learn from operators, and rebuild processes from first principles. You will ship production GenAI systems and data pipelines, working closely with executives to drive measurable business outcomes on AWS cloud.

You will own the design, implementation, and evaluation of agentic workflows, with strong Python/TypeScript skills and a focus on production readiness.

Formación

  • 8+ years building software with hands-on production code.
  • Ability to learn new domains quickly and work in unfamiliar functions.
  • Shipped GenAI/LLM systems to production, not demos.
  • Strong fundamentals in Python and TypeScript; cloud-native on AWS.
  • Credible with senior stakeholders and comfortable in ambiguity.

Responsabilidades

  • Do the operator’s job for weeks at start; learn from the inside.
  • Ship production GenAI systems and agentic workflows.
  • Build evaluation harness and measure KPIs against business goals.
  • Write production code across backend, data pipelines, and AI layer.
  • Partner with executives to redesign functions from first principles.

Conocimientos

8+ years experience
GenAI/LLM in production
Python
TypeScript
AWS
Claude Code
Cowork
Fluent English

Herramientas

Kubernetes
Containers
CI/CD
IaC
Docker

Descripción del empleo

Provectus is seeking a senior forward-deployed AI engineer to embed with client teams, learn from operators, and rebuild processes from first principles. You will ship production GenAI systems and data pipelines, working closely with executives to drive measurable business outcomes on AWS cloud.

You will own the design, implementation, and evaluation of agentic workflows, with strong Python/TypeScript skills and a focus on production readiness.

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