DARE TO BE A PART OF THE CHALLENGE! COME AND JOIN OUR TEAM TOGETHER WE CAN MAKE THE DIFFERENCE!

Did you know that Accenture is leading the digital transformation in the World?

Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Our main purpose is to collaborate with our clients, so they can become high-performance businesses. Accenture is present in more than 200 offices, 120 cities, 56 countries and approximately 743,000 employees worldwide.

Offer

Career development according to your profile and interests.

Work in one of the best companies and feel proud.

Access to an innovative methodology and tools.

Direct contact with experts worldwide.

Use of work schemes and cutting-edge technologies.

Constant training.

Work environment based on teamwork and collaboration.

Participation in International Projects

Responsibilities

As a Full Stack Engineer – AI & LLM Applications, you will be responsible for developing and engineering end-to-end applications, from user experience and front-end development to backend services and integrations with Large Language Models and other enterprise services.

Your day-to-day activities will include:

Design, develop, and implement scalable and maintainable full-stack solutions.

Develop front-end applications using React.js and backend services/APIs using Python.

Integrate applications with Large Language Models (LLMs), AI Agents, and enterprise services.

Leverage Amazon Web Services (AWS) to develop and optimize cloud-based solutions.

Apply software engineering and DevOps best practices to improve application quality, scalability, and performance.

Collaborate with cross-functional teams to align technical solutions with business goals and project requirements.

Analyze complex technical challenges and develop innovative solutions to improve system integration and user experience.

Provide technical guidance and share expertise with colleagues, fostering knowledge sharing and continuous improvement.

Contribute to technical and architectural decisions across teams.

Support the continuous improvement of development processes and software engineering best practices.

Skills

Mandatory / Core

React.js

Python

Amazon Web Services (AWS)

Full Stack Application Development

API development and system integration

Application Design / Software Engineering principles

AI-focused Skills

Large Language Models (LLMs)

AI Agents

Desirable

Anthropic Claude Code

DevOps practices

Experience integrating AI capabilities into enterprise applications