Junior AI Engineer

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. Nice to Have Skills: Experience with JavaScript OR Python OR Java OR .NET Language: English - Must