Senior AI/Cloud Engineer

hace 2 semanas

Zapopan, Jalisco, México Oracle A tiempo completo
Description

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 behaviours.
  • Demonstrated problem-solving ability when working with complex AI workloads, distributed systems, and cloud-native application behaviours.
  • A proactive, experimentation-oriented mindset with a strong willingness to learn emerging AI technologies, frameworks, and engineering patterns.
Responsibilities

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.
Qualifications

Career Level - IC3


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