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Full-Stack AI Engineer

8 hours, 36 minutes ago
United States, Portugal
Full-time
Mid Level
Full-stack Engineer
Software Development
AWS Azure CI/CD Dagster Docker Elasticsearch FastAPI Flask GCP Git GitHub HIPAA Hugging Face Kubeflow Kubernetes LLM Machine Learning Microservices MLflow MLOps Next.js Node.js Prefect Prometheus Python PyTorch React REST API SageMaker Serverless Snowflake SQL TensorFlow TypeScript 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 60

Description

  • Deploy and integrate pre-trained and fine-tuned ML and LLM models into production applications.
  • Build scalable AI inference APIs and backend services that connect AI systems to business workflows.
  • Implement retrieval-augmented generation pipelines using vector databases and optimize prompts, embeddings, and AI workflows.
  • Develop responsive front-end interfaces for AI-driven applications and user-facing tools.
  • Design scalable architectures for chatbots, AI assistants, analytics dashboards, search systems, and workflow automation products.
  • Build ETL and ELT pipelines for ingesting, cleaning, transforming, and processing structured and unstructured data.
  • Automate data preprocessing, versioning, labeling, and pipeline orchestration.
  • Containerize AI services and deploy them to Kubernetes or cloud-native environments.
  • Build and maintain CI/CD pipelines, monitor performance and model drift, and support cloud infrastructure.
  • Collaborate with product managers, designers, and data scientists while participating in sprint planning, code reviews, and technical documentation.

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 such as Snowflake, BigQuery, or Redshift.
  • Familiarity with REST APIs, microservices, and distributed systems.
  • Experience with Docker, CI/CD workflows, and cloud infrastructure on AWS, GCP, or Azure.
  • Preferred: Experience building and scaling AI-powered SaaS applications.
  • Preferred: Strong understanding of embeddings, vector databases, and RAG architectures.
  • Preferred: Experience with LLM fine-tuning, evaluation, and prompt optimization.
  • Preferred: Familiarity with MLOps tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or Weights & Biases.
  • Preferred: Experience with serverless architectures and cost-optimized inference systems.
  • Preferred: Background in SaaS, automation platforms, analytics systems, or AI-driven products.
  • Full-time remote role with working hours aligned to U.S. client business hours and some flexibility for deployments, experimentation cycles, and sprint schedules.

Interested in this position?

Apply directly on the company website

Apply Now

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