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Full-Stack AI Engineer

1 week, 1 day 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 HIPAA Hugging Face JavaScript Kubeflow Kubernetes LLM Machine Learning Microservices MLflow MLOps Next.js Node.js Prefect Python PyTorch React Serverless SQL TensorFlow TypeScript Vertex AI Vue.js
Apply Now
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 521

Description

  • Deploy and integrate AI/ML models using frameworks such as OpenAI, Hugging Face, TensorFlow, and PyTorch.
  • Build scalable APIs for AI inference with FastAPI, Flask, or Node.js.
  • Develop retrieval-augmented generation pipelines, embeddings, semantic search, and other AI-powered workflows.
  • Build frontend interfaces and user-facing AI features such as chatbots, copilots, dashboards, and automation tools.
  • Develop backend systems, microservices, and scalable architectures that connect AI models with business logic.
  • Create and maintain ETL pipelines for ingesting, cleaning, transforming, and managing datasets.
  • Automate preprocessing, data labeling, and workflow orchestration with tools such as Airflow, Prefect, or Dagster.
  • Containerize and deploy AI services with Docker, Kubernetes, and cloud infrastructure.
  • Build and maintain CI/CD pipelines, monitoring, logging, and observability for production systems.
  • Collaborate with engineering, product, and data teams to define features, translate prototypes into production systems, and make architecture decisions.

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 ML or LLM systems into production environments.
  • Strong frontend experience with React, Next.js, or Vue.
  • Experience building APIs and backend services.
  • Strong SQL skills and experience with cloud data platforms.
  • Familiarity with Docker, CI/CD pipelines, and cloud deployments.
  • Experience with LLM fine-tuning, embeddings, and RAG systems is preferred.
  • Experience with MLOps tools such as MLflow, Kubeflow, Vertex AI, or SageMaker is preferred.
  • Knowledge of microservices, serverless architectures, and distributed systems is preferred.
  • Experience optimizing inference cost and performance at scale is preferred.
  • Remote role with working hours aligned to U.S. business hours.
  • Location preferred in LATAM, Eastern Europe, Pakistan, India, or South Africa.

Interested in this position?

Apply directly on the company website

Apply Now

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