AI / Generative AI Engineer

BindWorks; Porto, Lisboa; Presencial; EUR 55 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Projects that matter

Hybrid or remote working model

Certifications & training

Private health insurance

Resumo da oferta

BindWorks in Portugal is seeking an AI / Gen AI Engineer to design, implement, and operate production-grade AI solutions—from RAG pipelines to agentic workflows and LLM integrations across enterprise systems.

You’ll be at the intersection of cutting-edge AI and real-world delivery, building production-ready models with LangChain, embeddings, and vector databases. If you’ve built LLM-powered products and understand production reliability, this role is for you.

Qualificações

• Strong Python skills and backend/data experience.
• Production experience with LLMs, embeddings and RAG.
• Hands-on experience with LangChain, LlamaIndex, Semantic Kernel, Haystack or equivalents.
• Knowledge of vector databases (Azure AI Search, Pinecone, Weaviate, Chroma, Milvus, pgvector) and REST APIs.

Responsabilidades

• Design end-to-end LLM-based solutions using multimodal models and RAG.
• Build robust ingestion, indexing, retrieval and content-generation pipelines.
• Integrate AI models with enterprise systems and cloud platforms.
• Implement evaluation, safety, robustness and performance frameworks for generative models.
• Optimize prompts, agentic workflows, guardrails and observability layers.
• Contribute to internal AI tooling and reusable components.
• Stay current with AI developments and bring innovations to the team.

Conhecimentos

Python

Backend

Data pipelines

Responsible AI

Ferramentas

LangChain

LlamaIndex

Semantic Kernel

Haystack

Pinecone

Weaviate

Chroma

Milvus

pgvector

REST APIs

Azure OpenAI

OpenAI API

AWS Bedrock

Vertex AI

Descrição da oferta de emprego

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.