AI Engineer / Full Stack Developer with AI Focus

About the Role

We are looking for an AI Engineer / Full Stack Developer with a focus on Artificial Intelligence to join our team, contributing to Livon's technological evolution and building new AI-powered solutions.

We seek a professional with a solid foundation in software development, hands-on experience with Python, Django, and Vue.js, and advanced expertise in tools, frameworks, and architectures dedicated to AI and LLM-based applications.

Responsibilities

• Develop and evolve applications using Python, Django, and Vue.js;
• Build features and products based on Artificial Intelligence and LLMs;
• Integrate AI models, APIs, and third-party services into Livon's applications;
• Develop AI Agents, workflows, and intelligent automations;
• Apply techniques such as RAG, embeddings, vector databases, and prompt engineering;
• Structure integrations between AI, internal data, and corporate systems;
• Evaluate and implement new AI frameworks, tools, and technologies;
• Work with model APIs such as OpenAI, Anthropic, Gemini, or similar;
• Contribute to the architecture, testing, monitoring, and continuous improvement of AI solutions;
• Help define best practices for AI development and usage on the platform;
• Collaborate with Product, Technology, and leadership teams to transform business needs into technological solutions.

Requirements

• Solid experience with Python;
• Experience with Django or similar backend frameworks;
• Experience with Vue.js or another modern frontend framework;
• Practical experience developing AI/LLM applications;
• Knowledge of APIs and AI service integration;
• Familiarity with LLM frameworks and AI Engineering tools;
• Understanding of software architecture, REST APIs, and databases;
• Experience with Git and development best practices;
• Ability to work autonomously in researching and implementing new technologies;
• Hands-on, curious profile with a strong problem-solving orientation.

Nice to Have

• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, or similar frameworks;
• Experience with AI Agents and agentic workflows;
• Knowledge of RAG, embeddings, and vector databases;
• Experience with OpenAI, Anthropic, Gemini, or other language models;
• Knowledge of Hugging Face and/or open-source models;
• Experience with MCP (Model Context Protocol);
• Experience with observability and evaluation tools for AI applications;
• Cloud knowledge (AWS, Azure, or GCP);
• Experience with Docker and production environments;
• Experience in tech companies, SaaS, or startups.

Soft Skills

• Curiosity and interest in exploring new AI tools, frameworks, and models;
• Ability to navigate between code, architecture, AI, and business contexts;
• Focus on transforming real-world problems into simple, scalable, and intelligent solutions;
• Autonomy and proactivity in researching and applying new technologies.