08/27/2026 updated
100 % available
Senior Full-Stack AI Engineer | Python | Java | LangChain
110711, Bogota, D.C, Colombia
Only remote
Bachelor's degree in Systems EngineeringAbout me
Senior Full-Stack AI Engineer with 10+ years of experience building scalable AI applications, enterprise software, and cloud platforms using Python, Java, React, TypeScript, LLMs, RAG, AI agents, and GCP.
ASP.NETC ShellDjangoPython (Programming Language)Next.jsSQL DatabasesTypeScriptReact.js
AI Agent Development & LLM Integration
Design and development of production-grade AI agent systems using LangChain, LangGraph, and LlamaIndex, enabling autonomous task execution, workflow orchestration, and multi-step reasoning. Integration of large language models such as ChatGPT, Claude AI, and Gemini into enterprise applications and automation platforms.
Full-Stack Software Engineering (Python, Java, React, TypeScript)
Development of enterprise-grade web applications and scalable backend APIs using Python, Java, Django, FastAPI, Spring Boot, React, Next.js, Vue.js, and TypeScript. Building responsive frontends and robust backend services for cloud-native and AI-powered platforms.
Retrieval-Augmented Generation (RAG) & NLP
Design and implementation of RAG pipelines integrating vector databases, semantic search, embedding models, and enterprise knowledge repositories. Application of natural language processing techniques to improve response accuracy, contextual understanding, and intelligent search capabilities.
Cloud Platforms (GCP, AWS, Azure)
Extensive experience with Google Cloud Platform, Amazon Web Services (including Lambda, S3, EC2), and Microsoft Azure for deploying scalable, cloud-native applications and serverless architectures.
DevOps & CI/CD Pipelines
Implementation of CI/CD pipelines using GitHub Actions, Docker, Kubernetes, and Terraform. Application of modern DevOps best practices to ensure reliable, automated software delivery and infrastructure management.
Database Management (SQL & NoSQL)
Proficiency with PostgreSQL, MySQL, MongoDB, Firebase, Neo4j, Redis, and Elasticsearch for designing and managing relational and non-relational data stores in enterprise environments.
Prompt Engineering
Engineering of sophisticated prompt engineering strategies that enhance AI reasoning, tool selection, structured output generation, and conversational quality across multiple LLM providers.
Blockchain & Web3
Knowledge and application of blockchain technologies including Smart Contracts, EVM, Solana, Web3, NFT, and Ethereum for decentralized application development.
RESTful API Design
Design and development of scalable RESTful APIs supporting enterprise authentication, cloud services integration, and business process automation across multiple technology stacks.
Design and development of production-grade AI agent systems using LangChain, LangGraph, and LlamaIndex, enabling autonomous task execution, workflow orchestration, and multi-step reasoning. Integration of large language models such as ChatGPT, Claude AI, and Gemini into enterprise applications and automation platforms.
Full-Stack Software Engineering (Python, Java, React, TypeScript)
Development of enterprise-grade web applications and scalable backend APIs using Python, Java, Django, FastAPI, Spring Boot, React, Next.js, Vue.js, and TypeScript. Building responsive frontends and robust backend services for cloud-native and AI-powered platforms.
Retrieval-Augmented Generation (RAG) & NLP
Design and implementation of RAG pipelines integrating vector databases, semantic search, embedding models, and enterprise knowledge repositories. Application of natural language processing techniques to improve response accuracy, contextual understanding, and intelligent search capabilities.
Cloud Platforms (GCP, AWS, Azure)
Extensive experience with Google Cloud Platform, Amazon Web Services (including Lambda, S3, EC2), and Microsoft Azure for deploying scalable, cloud-native applications and serverless architectures.
DevOps & CI/CD Pipelines
Implementation of CI/CD pipelines using GitHub Actions, Docker, Kubernetes, and Terraform. Application of modern DevOps best practices to ensure reliable, automated software delivery and infrastructure management.
Database Management (SQL & NoSQL)
Proficiency with PostgreSQL, MySQL, MongoDB, Firebase, Neo4j, Redis, and Elasticsearch for designing and managing relational and non-relational data stores in enterprise environments.
Prompt Engineering
Engineering of sophisticated prompt engineering strategies that enhance AI reasoning, tool selection, structured output generation, and conversational quality across multiple LLM providers.
Blockchain & Web3
Knowledge and application of blockchain technologies including Smart Contracts, EVM, Solana, Web3, NFT, and Ethereum for decentralized application development.
RESTful API Design
Design and development of scalable RESTful APIs supporting enterprise authentication, cloud services integration, and business process automation across multiple technology stacks.
Experience
Professional experience0 - 5 years
Freelancer since2026
Languages
EnglishFluent
Project history
Designed and developed production-grade AI applications utilizing Python, Java, React, and TypeScript. Built advanced AI agent workflows using LangChain, LangGraph, and LlamaIndex. Designed RAG pipelines integrating vector databases, semantic search, and embedding models. Engineered prompt engineering strategies for multiple LLM providers. Developed scalable backend APIs integrating ChatGPT, Claude AI, and Gemini. Built React and TypeScript frontends for AI-powered assistants and workflow automation.
Developed AI-powered SaaS applications using Python, Java, React, TypeScript, and cloud-native architectures. Implemented LangChain-based workflows, RAG pipelines, and vector database integrations. Built scalable backend services and REST APIs utilizing NoSQL databases, Google Cloud Platform, and automated CI/CD pipelines. Collaborated with cross-functional engineering teams to deliver AI-driven features.
Designed scalable enterprise search and AI applications using Java, Python, cloud-native services, and distributed system architectures. Developed intelligent search platforms utilizing machine learning, semantic retrieval, vector search, and NLP techniques. Built responsive React applications and RESTful APIs integrating cloud services and NoSQL databases. Improved platform scalability and maintainability through software architecture improvements and automated testing.