Sr. AI Engineer

Somnio Software; Argentina; A distancia; ARS 85.429.000 - 113.907.000; Jornada completa

Descripción de la vacante

A leading software company in Argentina seeks an experienced AI Developer to collaborate with multidisciplinary teams in developing scalable AI systems. The ideal candidate should have over 5 years of experience with Python and LLM frameworks, along with a strong background in cloud infrastructure and DevOps practices. Join a dynamic team enhancing payment systems through cutting-edge AI technologies.

Formación

• 5+ years of experience with Python and LLM frameworks.
• Experience with Docker and cloud infrastructure.
• Knowledge of scalability patterns and prompt engineering.

Responsabilidades

• Collaborate with multidisciplinary teams to develop scalable AI systems.
• Research and integrate new AI technologies to enhance payment systems.
• Build and deploy AI solutions using Python and AWS.

Conocimientos

Python

LLM frameworks (LangChain, LlamaIndex)

interactive data applications (Streamlit, Gradio)

Docker

scalability patterns (caching, parallelism)

LLM application architectures

DevOps best practices (Git, IaC, CI/CD)

cloud infrastructure (AWS, Azure, GCP)

Descripción del empleo

Responsibilities

Collaborate with multidisciplinary teams (data scientists, software engineers, product managers) to develop and enhance scalable AI systems.

Research, evaluate, and integrate new AI technologies, frameworks, and tools to optimize the efficiency, security, and performance of payment systems.

Build and deploy AI solutions using Python, LLM libraries, third-party AI services, and AWS services.

Qualifications

5+ years of experience with Python, LLM frameworks (LangChain, LlamaIndex), and interactive data applications (Streamlit, Gradio).

Experience with Docker.

Knowledge of scalability patterns (caching, parallelism, routing, asynchrony, decoupling, etc.).

Familiarity with LLM application architectures and prompt engineering techniques/patterns.

Experience with DevOps best practices: version control (Git), infrastructure as code (IaC), and CI/CD.

Experience with cloud infrastructure (AWS, Azure, or GCP).