Portugal
Capgemini
Pyyne Digital
Junior AI Engineer
Portugal
Porto, Portugal
JavaScriptPythonJava
About the opportunity
Let's build Pyyne together!
Are you interested in working on complex, high-impact data projects while actively contributing to the growth of an international tech consultancy? At Pyyne, you combine hands-on technical work with real influence over how the company evolves.
We are looking for a Data Engineer to join our team and work from Porto, collaborating with our team in Brazil, Argentina, the United States, and Sweden
About the Role
Pyyne is seeking an AI Engineer with experience identifying opportunities to implement LLMs into business workflows. This is a high-impact role at Pyyne, as you will be one of the driving gears toward our clients’ AI implementation.
A successful candidate in this role will be comfortable working with non-technical stakeholders to map current business workflows and pain points into real AI-powered solutions. They will be responsible for every step of the process, from client discovery and business analysis to building and deploying the identified solution.
Key Responsibilities
- Build & Deploy Automations: Develop and maintain reliable workflows using tools like n8n, Make, or custom Python scripts to connect disparate SaaS platforms and internal databases.
- Integrate AI Capabilities: Connect modern LLM APIs into pipelines for tasks such as structured data extraction, document classification, summarization, and content transformation.
- Support Discovery & Scoping: Shadow senior team members during client or stakeholder interviews, taking notes on current workflows, identifying bottlenecks, and documenting technical requirements.
- Prototype Proofs-of-Concept: Rapidly build lightweight prototypes to test whether an AI solution is technically viable and reliable before committing to full-scale development.
Must Have Skills
- 0–2 years of practical experience building software or automations using Python (through professional experience, internships, or substantial open-source/personal projects).
- Hands-on experience with LLM APIs: Practical exposure to prompting, temperature tuning, and structured outputs (e.g., JSON mode, function calling) using OpenAI, Anthropic, or similar APIs.
- API Fluency: Solid understanding of REST APIs, webhook lifecycle management, authentication methods (OAuth, API keys), and JSON data manipulation.
- Workflow Automation Tools: Experience building multi-step automations in at least one platform.
- Problem-Solving Mindset: Ability to break a broad process down into discrete, sequential logic steps and debug pipeline failures independently.
- Collaborative Communication: Comfort explaining technical implementation details clearly to peers and translating non-technical feedback into functional code.
Language
- English - Must
Nice to Have Skills
- Experience with JavaScript OR Python OR Java OR .NET
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