AI Backend Engineer: Build Global AI Core & LowCode

Just Vargas; Lisboa; Presencial; EUR 55 000 - 75 000; Tempo integral

Resumo da oferta

Just Vargas is seeking an AI Backend Engineer to contribute to the AI core module and the AI Low-Code agentic platform. You will work on international projects within an agile Microsoft stack, using SQL Server/PostgreSQL, .Net Core (C#), WCF/REST, and ensure robust unit and integration testing.

The ideal candidate has a degree in computer engineering, 2+ years in AI projects, knowledge of LLMs/RAG/AI agents, and strong problem-solving with fluent English.

Qualificações

• Degree in Computer Engineering or similar is required.
• Strong background in software development with OOP.
• Proficiency in at least one programming language, preferably C#.
• Minimum 2 years of hands-on AI project experience.
• Knowledge of LLMs, RAG, AI agents and related tech.
• Experience with relational database modeling and programming.
• Understanding of software architecture, version control, and best practices.
• Strong analytical and problem-solving skills; detail-oriented.
• Good written and spoken English communication.

Responsabilidades

• Participate in development of international projects.
• Design, implement, and maintain the AI core module for the product.
• Design, implement, and maintain the AI Low-Code agentic platform.
• Work in an agile method using a Microsoft stack (C#, .NET Core).
• Conduct unit and integration testing and fix bugs.

Conhecimentos

OOP

C# proficiency

SQL/DB knowledge

REST API

AI/LLMs

RAG/AI agents

Unit testing

Software architecture

Team collaboration

English fluency

Formação académica

Degree in Computer Engineering or similar

Descrição da oferta de emprego

Just Vargas is seeking an AI Backend Engineer to contribute to the AI core module and the AI Low-Code agentic platform. You will work on international projects within an agile Microsoft stack, using SQL Server/PostgreSQL, .Net Core (C#), WCF/REST, and ensure robust unit and integration testing.

The ideal candidate has a degree in computer engineering, 2+ years in AI projects, knowledge of LLMs/RAG/AI agents, and strong problem-solving with fluent English.