Senior AI Engineer - Agentic Systems (Remote LATAM)

Pearster

Neuquén

À distance

ARS 182 771 000 - 274 156 000

Plein temps

Il y a 5 jours
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Avantages offerts par ce poste

Contractor agreement with payment in 1
100% remote work
Argentinian public holidays
English classes
Referral program
Access to learning platforms

Résumé du poste

Darwoft is hiring a Senior AI Engineer to design, build, and scale autonomous AI agents within a fintech conversational platform. You will work remotely across LATAM, shaping multi-agent architectures and grounded reasoning.

You will implement RAG pipelines, integrate with internal services, and optimize LLM-based workflows in production. English proficiency is required for global collaboration.

Qualifications

  • 5+ years of professional software development.
  • 2+ years building AI/Generative AI in production.
  • Strong Python proficiency.
  • Experience with LLMs and agentic frameworks (OpenAI SDK, LangChain, LlamaIndex, CrewAI).
  • Proven memory/state management in agentic systems and multi-agent workflows.

Responsabilités

  • Design, build, test, and deploy autonomous AI agents in production.
  • Develop LLM-based systems enabling reasoning, planning, and execution across workflows.
  • Implement Retrieval-Augmented Generation pipelines with vector databases.
  • Integrate AI agents with internal services, APIs, and production systems.
  • Build evaluation, monitoring, and optimization pipelines for accuracy and cost.
  • Apply advanced prompt engineering and tool calling to enhance agent capabilities.

Connaissances

Python
LLMs & agentic frameworks
Agentic systems
Vector databases
Git & CI/CD
English communication

Outils

OpenAI SDK
LangChain
LlamaIndex
CrewAI

Description du poste

Darwoft is hiring a Senior AI Engineer to design, build, and scale autonomous AI agents within a fintech conversational platform. You will work remotely across LATAM, shaping multi-agent architectures and grounded reasoning.

You will implement RAG pipelines, integrate with internal services, and optimize LLM-based workflows in production. English proficiency is required for global collaboration.

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