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Full-Stack AI Engineer

2 hours, 43 minutes ago
United States, Portugal
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 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 566

Description

  • Deploy and integrate pre-trained and fine-tuned ML and LLM models into production systems.
  • Build scalable AI inference APIs and optimize prompt, embedding, and workflow performance.
  • Develop responsive front-end applications and back-end services for AI-powered user experiences.
  • Design architectures for chatbots, AI assistants, analytics dashboards, search systems, and workflow automation tools.
  • Build ETL and ELT pipelines for ingesting, cleaning, transforming, and processing structured and unstructured data.
  • Automate data preprocessing, versioning, labeling, and orchestration of data pipelines.
  • Containerize and deploy AI services, and maintain CI/CD pipelines for model updates and application releases.
  • Monitor latency, performance, costs, and model drift across production systems.
  • Collaborate with product managers, designers, and data scientists to prioritize and deliver AI features.
  • Document architectures, workflows, and deployment processes to support maintainability and onboarding.

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 building and scaling AI-powered SaaS applications is preferred.
  • Understanding of 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.
  • Background in SaaS, automation platforms, analytics systems, or AI-driven products is preferred.

Benefits

  • Full-time remote position.
  • Flexible working hours aligned to U.S. client business hours.
  • Flexibility for deployments, experimentation cycles, and sprint schedules.
  • Opportunity to work across the full product lifecycle from prototyping to production.
  • Exposure to modern AI, ML, MLOps, and cloud technologies.
  • Opportunity to build impactful AI-driven products for real-world business problems.

Interested in this position?

Apply directly on the company website

Apply Now

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