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

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

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