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Full-Stack AI Engineer

1 hour, 7 minutes ago
Mexico, Argentina, Brazil, Peru, Colombia
Full-time
Mid Level
AI Engineer
Software Development
Apache Airflow 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 Snowflake 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 59

Description

  • Deploy and integrate AI models, including OpenAI, Hugging Face, fine-tuned LLMs, and PyTorch/TensorFlow models, into production systems.
  • Build scalable inference APIs using FastAPI, Flask, or Node.js.
  • Develop AI copilots, chatbots, AI assistants, intelligent workflows, and other AI-powered product features.
  • Implement embeddings, vector search, RAG pipelines, and semantic retrieval systems using vector databases such as Pinecone, Weaviate, or FAISS.
  • Build ETL/ELT pipelines for text, image, and structured data, including preprocessing, labeling, transformations, and versioning.
  • Orchestrate AI and data workflows with tools such as Airflow, Prefect, or Dagster.
  • Develop modern front-end interfaces and user experiences with React, Next.js, or Vue.
  • Design backend services and microservices that connect AI systems with business logic and APIs.
  • Containerize and deploy applications in Docker and Kubernetes, and build CI/CD pipelines for releases, model deployments, and infrastructure updates.
  • Monitor latency, cost, uptime, and model drift, and improve system reliability, security, and scalability.

Requirements

  • 3+ years of experience in software engineering, AI engineering, or ML-integrated systems.
  • Strong Python skills with experience using PyTorch, TensorFlow, and AI tooling.
  • Strong JavaScript/TypeScript skills with experience in React, Node.js, or frontend frameworks.
  • Experience deploying AI/ML models into production.
  • Experience with APIs, vector databases, RAG pipelines, and embeddings.
  • Strong SQL skills and experience with cloud data warehouses.
  • Experience with Docker and cloud infrastructure.
  • Nice-to-have experience with AI-powered SaaS product development.
  • Nice-to-have experience with LLM fine-tuning and custom model workflows.
  • Nice-to-have experience with MLOps, model lifecycle management, microservices, serverless architectures, and AI cost optimization.
  • Nice-to-have experience with Vertex AI, SageMaker, Kubeflow, LangChain, or AI agents.
  • Nice-to-have startup or high-growth product experience.

Benefits

  • Full-time remote work with U.S. business hours.
  • High-impact ownership across the full technical stack.
  • Opportunity to work on real-world AI applications and production-grade AI products.
  • Fast-paced engineering environment with meaningful product influence.
  • Opportunity to shape AI architecture from the ground up.
  • Exposure to modern LLM infrastructure and tooling.

Interested in this position?

Apply directly on the company website

Apply Now

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