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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAWSPython
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
