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Full-Stack AI Engineer

2 weeks, 6 days ago
United States, Portugal
Full-time
Mid Level
AI Engineer
Software Development
Apache Airflow AWS Azure CI/CD Dagster Docker FastAPI Flask GCP HIPAA Hugging Face JavaScript Kubeflow Kubernetes Machine Learning Microservices MLflow Next.js Node.js Prefect Prometheus Python PyTorch React REST API SageMaker Serverless Snowflake 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 329

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?

Apply directly on the company website

Apply Now

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