AI / Generative AI Engineer

You've moved past the hype. You build AI that actually works in production. About BindWorks BindWorks is a Portuguese IT consultancy built differently. We're not a CV farm. We're not a body shop. We are a team of engineers, architects, and delivery professionals who genuinely care about the work we do — and about the people who do it. We partner with national and international clients to build meaningful, lasting technology: cloud-native platforms, data ecosystems, AI-powered products, and complex enterprise systems. We invest in long-term relationships — with our clients and with our people. If you want to work on real challenges, grow fast, and be part of a company where your voice matters and your craft is respected — you're in the right place. Our engineering culture is built on four pillars: we don't just deliver tasks, we own outcomes clean, well-designed, maintainable software is non-negotiable we invest in people through certifications, mentoring and challenging projects flat hierarchy, honest communication, no corporate noise The Role Generative AI is no longer a side project at BindWorks — it's central to how we help clients transform. We're looking for an AI / Gen AI Engineer to design, implement, and operate production-grade AI solutions: from RAG pipelines and agentic workflows to intelligent automation and LLM integrations across enterprise systems. You'll be at the intersection of cutting-edge AI and real-world delivery. If you've been building LLM-powered products and you know the difference between a great demo and a reliable production system — this role is for you. Python Semantic Kernel AWS Bedrock Vector Databases Embeddings Prompt Engineering REST APIs Nice to have MLOps / LLMOps Agentic Architectures Multi-step Workflows Tool Calling Observability / Tracing Haystack Open-source LLMs What You'll Do ️ • Design and implement end-to-end solutions using LLMs, multimodal models, embeddings and RAG ️ • Build robust ingestion, indexing, retrieval and content generation pipelines ️ • Integrate AI models with APIs, enterprise systems and cloud platforms ️ • Implement evaluation, safety, robustness and performance frameworks for generative models ️ • Optimize prompt strategies, agentic workflows, guardrails and observability layers ️ • Contribute to internal AI tooling, reusable components and best practices ️ • Stay current with the fast-moving AI landscape and bring relevant innovations to the team What We Need From You ️ • Solid Python skills and experience with backend services or data pipelines ️ • Practical, production experience with LLMs, prompt engineering, embeddings and RAG ️ • Hands-on experience with LangChain, LlamaIndex, Semantic Kernel, Haystack or equivalent ️ • Knowledge of vector databases: Azure AI Search, Pinecone, Weaviate, Chroma, Milvus or pgvector ️ • Experience with REST APIs, containerization and cloud platform integration ️ • Experience with Azure OpenAI, OpenAI API, AWS Bedrock, Vertex AI or open-source LLMs ️ • Knowledge of MLOps / LLMOps, observability, tracing and automated evaluation ️ • Experience building agentic architectures, tool calling and multi-step AI workflows ️ • Understanding of responsible AI, bias mitigation and safety practices What We Offer ️ • Projects that matter Challenging, modern-stack projects for national and international clients — no boring maintenance-only roles. You'll have a genuine say in architecture, technical decisions and delivery — not just tickets to close. Certifications, technical training and a culture that rewards curiosity — we co-invest in your development. Hybrid or remote working model, depending on the project — we trust you to deliver. Code reviews, architecture discussions, internal knowledge-sharing — we take craft seriously Private health insurance included from day one Salary aligned with your experience and market — we don't lowball good people Clear progression framework with regular check-ins — no guesswork about your next step Small enough to know everyone, experienced enough to challenge you daily Diversity & Inclusion BindWorks is committed to building a team that reflects the world we live in. We evaluate every candidate on skills, mindset, and potential — never on gender, ethnicity, nationality, age, disability, sexual orientation, religion, or background. If you need any adjustments during our recruitment process, just let us know. #J-18808-Ljbffr