2 months ago
Argentina (city not specified)Senior

Responsibilities

  • Design and develop enterprise AI applications using AWS Bedrock foundation models.
  • Build conversational AI assistants, intelligent agents, and AI-powered automation solutions.
  • Implement retrieval-augmented generation architectures using vector databases and enterprise knowledge sources.
  • Develop prompt engineering frameworks and optimize prompts for accuracy and performance.
  • Evaluate and benchmark foundation models for business use cases.
  • Implement guardrails, responsible AI controls, and model monitoring.
  • Develop scalable Python backend services with FastAPI and design RESTful APIs and microservices.
  • Build reusable AI components and frameworks for enterprise adoption.
  • Create automated testing, CI/CD, and deployment pipelines.
  • Optimize application performance, reliability, and cost efficiency.
  • Implement cloud-native architectures and infrastructure-as-code while meeting security, governance, and compliance requirements.
  • Integrate AI solutions with enterprise systems and data platforms.
  • Build pipelines to ingest, process, and curate structured and unstructured content for AI applications.
  • Design vector stores and embedding pipelines.
  • Provide technical leadership, mentor developers and engineers, and participate in architecture and technical design reviews.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field.
  • At least 8 years of software development experience.
  • At least 2 years developing AI/ML or generative AI solutions.
  • Hands-on experience with AWS Bedrock in production environments.
  • Advanced Python programming and experience building enterprise-scale applications with Python.
  • Experience with FastAPI, Flask, or Django; REST APIs; microservices; SQL and NoSQL databases; Git; CI/CD; DevOps practices; Docker; and containerized deployments.
  • Experience with generative AI, LLM application development, prompt engineering, RAG architectures, embedding models, vector search, AI agent frameworks, model evaluation, and optimization.
  • Knowledge of AI governance and responsible AI principles.
  • Preferred experience with LangChain, Claude AI or similar frameworks, Bedrock Agents, Bedrock Knowledge Bases, OpenSearch, Pinecone, Weaviate, vector databases, machine learning pipelines, MLOps, enterprise integrations, and API management.
  • AWS Solutions Architect, Developer, or Machine Learning certification is preferred.

Tech Stack

Amazon DynamoDBDjangoDockerFastAPIFlaskPythonTerraform
The Ritz-Carlton Yacht Collection

About The Ritz-Carlton Yacht Collection

1,001-5,000 employees

The Ritz-Carlton Yacht Collection operates luxury cruise voyages on three custom-built yachts—Evrima, Ilma, and Luminara—for travelers seeking small-ship itineraries. It sells weeklong to 10-night sailings and private charters, combining onboard lodging, dining, and shore experiences as a bundled fare. The privately held company is headquartered in Fort Lauderdale, Florida, and carries the Ritz-Carlton hospitality brand into the leisure travel market.

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