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Full-Stack AI Engineer

2 hours, 25 minutes ago
India, Latin America, Pakistan, South Africa
Full-time
Mid Level
Full-stack Engineer
Software Development
Apache Airflow AWS Azure CI/CD Dagster Docker FastAPI Flask GCP Hugging Face JavaScript Kubeflow Kubernetes Machine Learning Microservices MLflow MLOps Next.js Node.js Prefect Python PyTorch React SQL TensorFlow TypeScript Vertex AI Vue.js
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Pavago

Pavago

Pavago specializes in connecting small and medium-sized businesses with skilled offshore talent from Pakistan and Latin America, offering a streamlined recruitment process that enables the hiring, onboarding, and payment of remote employees at signific...

IT Services
Founded 2023
View All Jobs 378

Description

  • Integrate AI and machine learning models using OpenAI, Hugging Face, TensorFlow, PyTorch, or similar frameworks.
  • Build AI inference APIs with FastAPI, Flask, Node.js, or comparable technologies.
  • Develop RAG pipelines, embeddings, semantic search, and AI-powered workflows using vector databases.
  • Build frontend applications and AI features such as chatbots, copilots, dashboards, and automation tools.
  • Develop backend services and APIs that connect AI models with business logic and SQL-based data solutions.
  • Design secure, scalable, and maintainable application architectures.
  • Build ETL pipelines and data workflows using Airflow, Prefect, Dagster, or similar tools.
  • Deploy AI services with Docker, Kubernetes, and AWS, Azure, or GCP.
  • Build CI/CD pipelines and monitor system performance, reliability, uptime, and costs.
  • Implement authentication, authorization, API protection, applicable compliance measures, and technical documentation.

Requirements

  • 3+ years of software engineering experience with AI/ML exposure.
  • Strong proficiency in Python and JavaScript/TypeScript.
  • Experience with AI/ML frameworks such as PyTorch or TensorFlow.
  • Experience deploying machine learning or LLM solutions into production.
  • Strong frontend experience with React, Next.js, Vue, or similar frameworks.
  • Experience building APIs, backend services, and SQL-based data solutions.
  • Familiarity with Docker, CI/CD pipelines, and cloud platforms.
  • Experience building AI-powered SaaS or automation products (preferred).
  • Experience with RAG, embeddings, vector databases, and semantic search (preferred).
  • Familiarity with MLOps tools, microservices, serverless or distributed systems, and AI inference optimization (preferred).

Benefits

  • Full-time remote position.
  • U.S. business hours.
  • Remote work available across LATAM, Eastern Europe, Pakistan, India, and South Africa, with those regions preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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