AI Software Engineer: SDLC Innovator & Tech Lead

Noesis; Porto; Presencial; EUR 45 000 - 70 000; Tempo integral

Resumo da oferta

Noesis in Porto, Portugal is seeking a senior engineering professional to drive AI-enabled software delivery. You will design and implement AI agents for the SDLC, shape architecture for AI integration, and lead engineering teams while collaborating with product managers and stakeholders.

The role requires hands-on experience in full-stack development, DevOps pipelines, and AI tooling, with a focus on high-availability systems and scalable solutions.

Qualificações

• Minimum 2 years of experience in full-stack production software development (NET, Nodejs, React, TypeScript) and high-availability systems.
• Solid hands-on expertise with end-to-end SDLC, DevOps pipelines, IaC, and CI/CD automation.
• Strong practical experience with AI coding tools and agents (Claude Code, GitHub Copilot) applied to software engineering.

Responsabilidades

• Explore, design, and implement AI agents and solutions applied to the SDLC to boost engineering efficiency and code quality.
• Redesign software engineering processes towards an AI driven model, supporting teams in adopting AI coding tools across the entire SDLC.
• Define technical standards, security requirements, and architectures for AI integration in software development using low-code/no-code platforms and SDKs.
• Act as a senior technical reference, conducting code reviews, mentoring engineering teams, and aligning execution with product managers and stakeholders.

Conhecimentos

Full-stack development

Engineering leadership

Communication with stakeholders

AI in SDLC

Code reviews and mentoring

Formação académica

Degree in Computer Science or similar

Ferramentas

GitHub Actions

Azure DevOps

Descrição da oferta de emprego

Noesis in Porto, Portugal is seeking a senior engineering professional to drive AI-enabled software delivery. You will design and implement AI agents for the SDLC, shape architecture for AI integration, and lead engineering teams while collaborating with product managers and stakeholders.

The role requires hands-on experience in full-stack development, DevOps pipelines, and AI tooling, with a focus on high-availability systems and scalable solutions.