Full Stack / AI Developer (57001 | 135730-1)

Description

Job Summary: We are seeking a Full Stack Developer with an AI focus to build end-to-end applications, integrating frontend, backend, and AI/ML models. Key Highlights: 1. Remote team collaboration that values talent and dedication. 2. Development of scalable solutions focused on business value. 3. Opportunities for career-advancing challenges. For over 20 years, EVT has been a reference in corporate IT solutions, driving digital transformation for its partners and clients. With a highly qualified team, we operate both in developing custom solutions and in allocating specialized professionals within our clients’ organizations. We serve major companies across diverse industries, always focusing on delivering cutting-edge technology, close collaboration, and tangible business value. At EVT, we live our values daily: **Respect, Partnership, Efficiency, Innovation, and Results.** This ensures high-quality deliveries and lasting relationships with our clients and employees. ✨ If you seek a collaborative environment filled with career-advancing challenges, join a team that values every professional’s talent and dedication! **Opportunity Details:** **Work Mode:** Remote **Duration:** 6 months, with possibility of extension **Contract Model:** PJ (Individual Entrepreneur) **Responsibilities:** We are looking for a Full Stack Developer with an AI focus to develop end-to-end applications, integrating frontend, backend, and AI/ML models. You will collaborate with product and data teams to build scalable, testable, and business-value-oriented solutions. Requirements: * Frontend development experience (e.g., React, Angular, or Vue; HTML, CSS, JavaScript/TypeScript). * Backend development experience (e.g., Node.js, Python, Java, .NET) and REST/GraphQL APIs. * Integration with AI/LLM services (e.g., OpenAI, Azure OpenAI, AWS Bedrock, Hugging Face, or similar). * Foundational knowledge of AI/ML (models, inference, limitations, cost, and performance). * Relational and NoSQL databases. Automated testing (unit and integration) and engineering best practices (clean code, Git version control). * Experience with RAG (Retrieval\-Augmented Generation) architectures, vector databases, and search engines (e.g., Pinecone, Redis, Elasticsearch) Benefits: * Learning incentive programs (Udemy) * Corporate English classes at affordable rates **Hiring Process Steps:** * Registration * HR Interview * Client/Technical Interview * Final Client Interview * Contract Signing **Shall we move forward together?**