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 pre-trained and fine-tuned ML and LLM models into production applications.
  • Build scalable AI inference APIs and connect AI systems to user-facing and business workflow applications.
  • Implement retrieval-augmented generation pipelines using vector databases and related tooling.
  • Develop responsive front-end applications for AI-powered products and interfaces.
  • Design and maintain back-end services, APIs, and scalable architectures for AI assistants, chatbots, dashboards, search, and automation tools.
  • Build ETL and ELT pipelines for ingesting, cleaning, transforming, and processing structured and unstructured data.
  • Automate data preprocessing, versioning, labeling, and orchestration workflows.
  • Containerize services, deploy workloads to cloud or Kubernetes environments, and maintain CI/CD pipelines.
  • Monitor application performance, inference latency, model drift, and infrastructure reliability.
  • Collaborate with product managers, designers, and data scientists to prioritize features, review code, and document systems.

Requirements

  • 3+ years of professional software engineering experience with AI/ML exposure.
  • Strong proficiency in Python and JavaScript/TypeScript.
  • Experience with AI/ML frameworks such as PyTorch, TensorFlow, LangChain, or Hugging Face.
  • Experience deploying AI or ML models into production systems.
  • Strong front-end experience with React, Next.js, or Vue.
  • Strong SQL skills and experience with cloud data warehouses.
  • Familiarity with REST APIs, microservices, and distributed systems.
  • Experience with Docker, CI/CD workflows, and cloud infrastructure.
  • Experience with embeddings, vector databases, and RAG architectures is preferred.
  • Experience with LLM fine-tuning, evaluation, and prompt optimization is preferred.
  • Familiarity with MLOps tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or Weights & Biases is preferred.
  • Experience with serverless architectures and cost-optimized inference systems is preferred.

Interested in this position?

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