Remote AI Engineer: Python LLM Architect & RAG Maestro

TeamStation Artificial Intelligence, LLC.

México

Remoto

MXN 2.239.000 - 3.358.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Fully remote across LATAM
Competitive compensation
Career growth
Real impact

Descrizione del lavoro

TeamStation AI is seeking a Senior AI Engineer AP/Architect to design and deploy low-latency AI services, focusing on RAG pipelines and production-grade systems for advertising decisioning in a remote LATAM setup.

You will craft robust LLM-powered backends, optimize prompts, and scale AI models within an enterprise-grade platform, collaborating with data scientists and engineers in a fast-paced environment.

Competenze

  • 5+ years of software engineering experience.
  • 3+ years building and deploying AI/ML systems in production.
  • Expert in Python and scalable async backend services.
  • Hands-on experience with LLMs and Generative AI.
  • Strong knowledge of data structures, algorithms, and microservice design.

Mansioni

  • Architect and deploy robust AI services using LLMs and generative AI models.
  • Engineer, test, and optimize prompts for internal and external models.
  • Build and maintain RAG pipelines with vector stores and real-time context.
  • Collaborate with data scientists/engineers to ship high-availability features on AWS.
  • Implement AI output testing to ensure reliability and reduce hallucinations.

Conoscenze

Python
LLMs
Prompt engineering
Async backend
Microservices
CI/CD
English fluency

Strumenti

LangChain
OpenAI API
Hugging Face
PostgreSQL (pgvector)
Pinecone
Databricks
AWS

Descrizione del lavoro

TeamStation AI is seeking a Senior AI Engineer AP/Architect to design and deploy low-latency AI services, focusing on RAG pipelines and production-grade systems for advertising decisioning in a remote LATAM setup.

You will craft robust LLM-powered backends, optimize prompts, and scale AI models within an enterprise-grade platform, collaborating with data scientists and engineers in a fast-paced environment.

Ottieni la revisione del curriculum gratis e riservata.

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