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Senior AI/Cloud Engineer
Senior AI/Cloud EngineerOracle • Uruguay
Senior AI / Cloud Engineer

Senior AI / Cloud Engineer

Oracle • Uruguay
Hace 16 días
Descripción del trabajo

Technical Expertise

  • Qualification & Experience : Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field. Minimum 3+ years’ hands-on experience in software development using Java, Python, Spring Boot, with strong grounding in data structures, algorithms, and their application in solving complex engineering challenges.
  • Application Development : Experience in designing, scalable microservices in an enterprise environment.
  • Self-Sufficiency : Proven ability to rapidly learn new technologies, prototype solutions, and independently design and implement application components.
  • LLM Technologies : Practical exposure to working with Large Language Models (OpenAI, Grok, or open-source variants), including prompt engineering practices, fine-tuning methods, and model deployment strategies.
  • Agentic Frameworks : Hands-on development of agent-based workflows using frameworks such as OpenAI Agent SDK, LangGraph, or equivalent agent orchestration toolsets.
  • RAG Systems : Experience implementing Retrieval-Augmented Generation components including indexing, metadata strategies, hybrid search, relevance evaluation, and pipeline integration.

Preferred Qualifications

  • OCI Services : Experience with Oracle Cloud Infrastructure, including services such as OCI GenAI Service, Object Storage, API Gateway, Functions, or Streaming.
  • Containers : Hands-on familiarity with Kubernetes on Oracle Kubernetes Engine (OKE) and container tooling such as Podman or Docker.
  • Vector Data Platforms : Familiarity with vector-enabled data systems such as Oracle 23ai Vector Database, Pinecone, FAISS, or comparable technologies (desirable).

    • Soft Skills & Leadership

  • Proven ability to drive technical outcomes, take ownership of deliverables, and work independently in fast-evolving AI solution spaces.
  • Strong communication skills, with the ability to articulate technical concepts, document solution approaches, and collaborate across distributed teams.
  • Demonstrated problem-solving ability when working with complex AI workloads, distributed systems, and cloud-native application behaviors.
  • Demonstrated problem-solving ability when working with complex AI workloads, distributed systems, and cloud-native application behaviors.
  • A proactive, experimentation-oriented mindset with a strong willingness to learn emerging AI technologies, frameworks, and engineering patterns.

    • Key Responsibilities

    I. Cloud Application Development

  • Design and develop cloud-native application services on Kubernetes using Java, Python, and Spring Boot.
  • Integrate application components with OCI services, including GenAI Service, Object Storage, and API Gateway.

    • II. AI, LLMs, and Agentic Systems

  • Implement AI-powered capabilities using LLMs, prompt engineering, and agentic frameworks such as OpenAI Agent SDK or LangGraph.
  • Build RAG workflows including embeddings, indexing, and hybrid search.

    • III. DevOps and Deployment

  • Support CI / CD processes and containerized deployment workflows using Podman, Docker, and OKE.
  • Troubleshoot application and runtime issues across distributed environments.

    • IV. Collaboration and Knowledge Sharing

  • Work with cross-functional engineering teams to align solution designs with business requirements.
  • Conduct independent research on emerging AI technologies, tools, and engineering patterns to introduce improvements and new solution approaches.
  • Share knowledge, mentor peers, and contribute to internal enablement of AI and cloud development best practices.

    • Career Level - IC3

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