You've moved past the hype. You build AI that actually works in production.
About Bind Works
Bind Works 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 Bind Works — 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 Lang Chain, Llama Index, 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 Open AI, Open AI 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
Bind Works 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.