Senior Full-Stack AI Engineer for Context-Aware Agents

Truelogic

Bogotá ciudad

Presencial

COP 372.694.000 - 559.041.000

Jornada completa

Hace 6 días
Sé de los primeros/as/es en solicitar esta vacante
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Ventajas ofrecidas por este puesto de trabajo

Remote work
USD pay
Paid time off
Autonomy

Descripción de la vacante

Truelogic is seeking a Senior Full-Stack AI Engineer to architect and ship end-to-end features for a context-aware AI agent platform, bridging LLM architectures with polished multi-channel UI. You will design REST/GraphQL APIs, data models in PostgreSQL, and seamless React frontends, while ensuring reliability, privacy, and scalable async workflows.

Candidates should be hands-on with TypeScript, React, and LLM runtimes, comfortable collaborating with U.S.

Formación

  • Strong experience with modern TypeScript and React
  • Experience building REST/GraphQL APIs and data models
  • Hands-on with LLM/agent runtimes, prompt engineering, and tool integration
  • Ability to translate ambiguous requirements into solid system design
  • Commitment to observability, security, and edge-case handling

Responsabilidades

  • Architect and ship end-to-end features for a context-aware AI agent ecosystem
  • Design robust REST/GraphQL APIs and data models in PostgreSQL
  • Build responsive React frontends tightly integrated with TypeScript services
  • Implement and optimize LLM workflows, tool calls, and retrieval architectures
  • Maintain reliability and data privacy across complex user flows

Conocimientos

TypeScript
React
REST/GraphQL APIs
Async systems
LLM / agent runtimes
Product ownership
Observability

Herramientas

PostgreSQL

Descripción del empleo

Truelogic is seeking a Senior Full-Stack AI Engineer to architect and ship end-to-end features for a context-aware AI agent platform, bridging LLM architectures with polished multi-channel UI. You will design REST/GraphQL APIs, data models in PostgreSQL, and seamless React frontends, while ensuring reliability, privacy, and scalable async workflows.

Candidates should be hands-on with TypeScript, React, and LLM runtimes, comfortable collaborating with U.S.

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