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CI&T

Senior Full Stack Oracle Developer

CI&T

Generative AI Engineer building LLM, RAG, and multi-agent applications for CI&T, which delivers AI-powered enterprise transformation solutions. Designing scalable production systems and backend services.

Posted 8/14/2026full-timeRemote • 🇨🇴 ColombiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and deploying production-ready applications using Large Language Models (LLMs) and AWS Bedrock, with a strong focus on building scalable AI pipelines and optimizing RAG architectures. Proficient in Python and modern frameworks, with hands-on experience in prompt engineering and multi-agent AI systems.

Highest-signal resume keywords
Large Language Models (LLMs)AWS BedrockPython DevelopmentPrompt EngineeringAgentic Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringFull-Stack DevelopmentAI Pipeline DesignContainerizationAPI DevelopmentModel Fine-TuningHyperparameter OptimizationMonitoring SolutionsVector DatabasesEmbedding Models
Soft Skills
Stakeholder CollaborationKnowledge Sharing
Tools & Technologies
AWS Bedrock AgentsLangChainLlamaIndexCrewAIAutoGenPineconeWeaviateOpenSearch
Industry Keywords
Generative AIDevOps PracticesCI/CD PipelinesRAG ArchitecturesDocument Repositories

Tech Stack

Tools & technologies
AWSPython

About the role

Key responsibilities & impact
  • Design, develop, and deploy production-ready applications using LLMs and foundation models through AWS Bedrock
  • Build and optimize RAG architectures for large-scale document repositories
  • Implement and orchestrate multi-agent AI systems using AWS Bedrock Agents and AgentCore
  • Design scalable AI pipelines integrated with enterprise systems
  • Develop backend services and APIs using Python and modern frameworks
  • Implement containerization and deployment strategies
  • Build monitoring and observability solutions for AI performance, quality, and costs
  • Design and optimize prompts and templates for LLM behavior
  • Evaluate and fine-tune models for specific use cases
  • Experiment with model configurations, hyperparameters, and architectures
  • Partner with stakeholders to translate requirements into technical solutions
  • Evaluate emerging foundation models and contribute to generative AI innovation
  • Contribute to documentation, best practices, and knowledge sharing
  • Participate in Sales initiatives related to Generative AI

Requirements

What you’ll need
  • Strong years of professional software engineering experience
  • Full-stack development experience
  • Hands-on experience with Large Language Models (LLMs) and foundation model APIs
  • Experience with agentic architecture and implementation, including LangChain, LlamaIndex, CrewAI, or AutoGen
  • Prompt engineering and optimization techniques
  • Experience with vector databases such as Pinecone, Weaviate, or OpenSearch
  • Experience with embedding models or Knowledge Graphs
  • Knowledge of DevOps practices and CI/CD pipelines for AI applications
  • Knowledge of Python with modern frameworks and libraries

Benefits

Comp & perks
  • Premium Healthcare
  • Meal voucher
  • Maternity and Parental leaves
  • Mobile services subsidy
  • Sick pay-Life insurance
  • CI&T University
  • Colombian Holidays
  • Paid Vacations
  • Inclusive and safe work environment