Description
Job Summary:
Experienced professional in AI development and architecture, specializing in Generative AI and process automation, to work within a modular and collaborative program.
Key Highlights:
1. Designing and implementing Generative AI solutions
2. Developing and optimizing prompts for LLMs
3. Building RAG pipelines and agent-based AI applications
**What We’re Looking For:**
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A professional with experience in AI/ML development and architecture, focused on Generative AI, process automation, and building scalable services for global platforms. This role operates within a modular program, featuring strong collaboration between technical and business teams, in a fully remote model.
**Responsibilities:**
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* Design and implement Generative AI solutions for automating internal processes and end-user products;
* Develop, test, and optimize prompts for LLMs to ensure accuracy, reliability, and security;
* Convert existing business processes into AI-driven automated workflows;
* Collaborate with GenAI and security service teams to identify automation opportunities and enhance AI capabilities;
* Build RAG pipelines and agent-based AI applications;
* Prototype, deploy, and scale models in production integrated with organizational platforms and workflows;
* Document best practices and contribute to internal knowledge sharing on Generative AI;
* Support internal upskilling initiatives on Generative AI tools and capabilities.
**Requirements and Qualifications:**
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* Proven experience (minimum 2 years) in AI/ML engineering with direct use of Generative AI and LLMs;
* Proficiency in Python and ML frameworks such as PyTorch and/or TensorFlow;
* Practical experience with prompt engineering, fine\-tuning, embeddings, and vector databases;
* Knowledge of security services (authentication, access control, WAF, IOC) and integration via REST APIs;
* Solid foundations in Machine Learning, NLP techniques, LLM architectures, and agent\-to\-agent integrations;
* Strong communication and collaboration skills with both technical and non\-technical audiences;
* Bachelor’s degree in Computer Science, Data Science, Engineering, or related fields.
**Preferred Qualifications:**
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* Proven experience (minimum 2 years) in AI/ML engineering with direct use of Generative AI and LLMs;
* Proficiency in Python and ML frameworks such as PyTorch and/or TensorFlow;
* Practical experience with prompt engineering, fine\-tuning, embeddings, and vector databases;
* Knowledge of security services (authentication, access control, WAF, IOC) and integration via REST APIs;
* Solid foundations in Machine Learning, NLP techniques, LLM architectures, and agent\-to\-agent integrations;
* Strong communication and collaboration skills with both technical and non\-technical audiences;
Bachelor’s degree in Computer Science, Data Science, Engineering, or related fields.
**Behavioral Profile:**
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* We are looking for someone who:
* Enjoys working in teams and is **collaborative** in their responsibilities;
* Has the **courage** to challenge themselves and go beyond, embracing new growth opportunities;
* Transforms ideas into **creative solutions** and pursues quality in all daily tasks;
* Demonstrates strong **problem\-solving skills**;
* Is capable and comfortable working independently and **managing their own time**;
* Is interested in tackling technologically **adversarial and innovative** situations.
Big enough to deliver – small enough to care.
**\#VempraGFT**
**\#VamosVoarJuntos**
**\#ProudToBeGFT**
With over 35 years in the market and operations across 16 countries, GFT employs more than 12\.000 people worldwide — including 4\.000 in Brazil.
Here, diversity, equity, and inclusion sit at our core, and ensuring a safe workplace for everyone is fundamental to who we are.
We foster a culture of development and growth anchored in our Continuous Scaled Learning pillar because we believe intelligent use of technology is the key to success in today’s digital world.
**What We Offer**
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* Multi\-benefit card – you choose how and where to use it.
* Tuition support for undergraduate, graduate, MBA, and language courses.
* Certification incentive programs.
* Flexible working hours.
* Competitive salaries.
* Annual performance reviews with structured career development plans.
* Opportunities for international career progression.
* Wellhub and TotalPass.
* Private pension plan.
* Childcare allowance.
* Medical assistance.
* Dental assistance.
* Life insurance.
\#VemPraGFT