Remote LLM Engineer for Generative AI & Backend

Vekend, Llc

Hinoba-an

Remote

PHP 90.000 - 150.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Vekend, Llc is seeking an experienced backend AI Engineer to join our AI, Insights, & Solutions team. You will collaborate with data scientists and software engineers to deliver reliable, production-grade backend systems and Generative AI applications, reporting to the engineering manager.

You will design RAG pipelines, orchestrate ML models, and create scalable APIs while working with stakeholders to integrate AI solutions into existing frameworks.

Qualifikationen

  • 5+ years of experience in Python programming and backend development.
  • Proficiency in SQL and Bash scripting.
  • Strong background in Large Language Models (LLMs) and Generative AI technologies.
  • Experience with data science and machine learning, including feature engineering and model evaluation.
  • Familiarity with databases such as PostgreSQL and MySQL.

Aufgaben

  • Develop and maintain production-grade backend systems and Generative AI applications.
  • Design and implement retrieval-augmented generation (RAG) pipelines
  • Orchestrate machine learning models for optimal performance.
  • Create and optimize scalable APIs to support business needs.
  • Collaborate with cross-functional teams to integrate AI solutions into existing frameworks.

Kenntnisse

Python backend
SQL
Bash
LLMs
Generative AI
Data science
Machine learning
PostgreSQL
MySQL

Ausbildung

Bachelor's

Tools

FastAPI
Flask
Django
REST APIs
Async Python
Microservices
Docker
Kubernetes
AWS
CI/CD
MLOps

Jobbeschreibung

Vekend, Llc is seeking an experienced backend AI Engineer to join our AI, Insights, & Solutions team. You will collaborate with data scientists and software engineers to deliver reliable, production-grade backend systems and Generative AI applications, reporting to the engineering manager.

You will design RAG pipelines, orchestrate ML models, and create scalable APIs while working with stakeholders to integrate AI solutions into existing frameworks.

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