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Full-Stack AI Engineer

3 weeks ago
United States
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 Microservices MLflow Next.js Node.js Prefect Python PyTorch React SageMaker Serverless 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 521

Description

  • Deploy and integrate AI/ML models into production applications using modern frameworks and model providers.
  • Build scalable APIs for AI inference and connect models with business logic.
  • Develop retrieval-augmented generation (RAG) pipelines, embeddings, and semantic search workflows.
  • Create responsive frontend interfaces for AI-driven products such as chatbots, copilots, dashboards, and automation tools.
  • Develop backend systems and microservices that support scalable AI application architectures.
  • Build and maintain ETL pipelines for ingesting, cleaning, transforming, and managing datasets.
  • Automate data preprocessing, labeling, and workflow orchestration for model training and evaluation.
  • Containerize and deploy AI services, and build CI/CD pipelines for model and application releases.
  • Monitor model performance, drift, cost, logging, and system reliability in production.
  • Partner with product, engineering, and data teams to define features, ship releases, and document workflows.

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.
  • Preferred experience building AI-powered SaaS platforms or automation products.
  • Preferred experience with LLM fine-tuning, embeddings, and RAG systems.
  • Preferred familiarity with vector databases and semantic search infrastructure.
  • Preferred experience with MLOps tools such as MLflow, Kubeflow, Vertex AI, or SageMaker.
  • Preferred knowledge of microservices, serverless architectures, and distributed systems.
  • Preferred experience optimizing inference cost and performance at scale.

Benefits

  • Full-time remote role.
  • Remote work within preferred regions including LATAM, Eastern Europe, Pakistan, India, and South Africa.
  • Work schedule aligned to U.S. business hours.
  • Opportunity to work on production AI systems with real business impact.
  • Interview process includes a technical assessment and engineering team interview.

Interested in this position?

Apply directly on the company website

Apply Now

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