AI Engineer: Autonomous LLMs & Multi-Agent Systems (Remote)

Darwoft; Córdoba; A distancia; ARS 133.982.000 - 267.965.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor agreement with payment in U

100% remote work

English classes

Referral program

Access to learning platforms

Descripción de la vacante

Darwoft seeks an experienced Senior AI Engineer to join a fintech AI platform as a remote contractor. You will design and scale agentic AI systems using Python, OpenAI SDK, LangChain, and vector databases. You’ll enable autonomous reasoning, planning, and actions across multi-step workflows in a production environment.

You’ll collaborate with product and engineering teams, implement RAG pipelines, and ensure quality with testing and CI/CD. Strong English and remote-work experience are essential.

Formación

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

Responsabilidades

• Design, build, test, and deploy autonomous AI agents.
• Develop LLM-based systems enabling reasoning, planning, and execution across workflows.
• Implement RAG pipelines using vector databases for grounded responses.
• Integrate AI agents with internal services, APIs, and production systems.
• Build monitoring, evaluation, and optimization pipelines for LLM-powered systems.

Conocimientos

Python

LLMs & agentic frameworks

Software development

English communication

CI/CD

Memory/state management

Herramientas

OpenAI SDK

LangChain

LlamaIndex

CrewAI

Vector databases

Descripción del empleo

Darwoft seeks an experienced Senior AI Engineer to join a fintech AI platform as a remote contractor. You will design and scale agentic AI systems using Python, OpenAI SDK, LangChain, and vector databases. You’ll enable autonomous reasoning, planning, and actions across multi-step workflows in a production environment.

You’ll collaborate with product and engineering teams, implement RAG pipelines, and ensure quality with testing and CI/CD. Strong English and remote-work experience are essential.