AI / Generative AI Engineer | LLMs, RAG & Agentic AI | Hybrid @Portugal

About The Opportunity

At BindWorks, we're looking for an AI / Generative AI Engineer to join an innovative project where Artificial Intelligence, Software Engineering and Cloud come together to build intelligent, scalable and production-ready solutions.

This is an opportunity to go beyond experimentation and proofs-of-concept, contributing to real-world AI applications, LLM-powered systems, RAG architectures and intelligent agents designed to solve complex business challenges.

You'll work alongside experienced engineers, architects and product teams in an environment that values technical excellence, curiosity, ownership and continuous innovation.

What You Will Do

• Design and develop AI-powered applications and intelligent services


• Build and integrate solutions using Large Language Models (LLMs)


• Design and implement RAG (Retrieval-Augmented Generation) architectures


• Develop AI Agents and Agentic AI workflows


• Integrate foundation models from OpenAI, Azure OpenAI, Anthropic, AWS Bedrock or similar platforms


• Build robust data ingestion, embedding and retrieval pipelines


• Work with Vector Databases and semantic search technologies


• Implement model evaluation, monitoring and observability practices


• Design guardrails, output validation and responsible AI mechanisms


• Optimise AI solutions for quality, latency, scalability and cost


• Collaborate with Software Engineering, Data, Cloud and Product teams


• Take AI solutions from prototype to reliable, production-ready systems

What We Are Looking For

Required

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  3+ years of professional experience in Software Engineering, AI, Machine Learning or Data Engineering

  
  


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  Hands-on experience developing AI or Generative AI solutions

  
  


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  Strong programming skills in Python

  
  


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  Solid understanding of:

  
  
  
  
  • Generative AI
  
  
  • Large Language Models (LLMs)
  
  
  • Prompt Engineering
  
  
  • Embeddings
  
  
  • Semantic Search
  
  
  • RAG architectures
  
  
  
  


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  Experience integrating AI models through APIs and SDKs

  
  


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  Strong Software Engineering fundamentals and understanding of system design

  
  


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  Experience with Git, CI/CD and Agile methodologies

  
  


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  Strong analytical and problem-solving skills

  
  


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  Good communication skills in English

  
  

Highly Valued

• OpenAI / Azure OpenAI


• Anthropic Claude


• AWS Bedrock


• Google Gemini / Vertex AI


• LangChain


• LangGraph


• LlamaIndex


• Semantic Kernel


• AI Agents & Multi-Agent Systems


• Function Calling / Tool Use


• Vector Databases such as Pinecone, Weaviate, Qdrant, Chroma or OpenSearch


• Docker & Kubernetes


• FastAPI


• MLOps / LLMOps


• MLflow, LangSmith or Weights & Biases


• Cloud experience with AWS, Azure or GCP

AI Engineering & Production

We particularly value experience or interest in:

• Production-grade RAG systems


• Agentic AI and autonomous workflows


• LLM evaluation and benchmarking


• Model monitoring and observability


• Hallucination detection and mitigation


• Guardrails and output validation


• AI security and privacy


• Responsible AI and governance


• Human-in-the-Loop systems


• Prompt and context optimisation


• AI cost and latency optimisation

Tech Stack

Generative AI & LLMs

AI Agents & Agentic Workflows

RAG & Semantic Search

Python & FastAPI

LangChain | LangGraph | LlamaIndex

☁ Azure OpenAI | AWS Bedrock | OpenAI | Anthropic

Vector Databases

⚙ MLOps & LLMOps

Docker & Kubernetes

Evaluation, Monitoring & Observability

AI Guardrails & Responsible AI

What We Offer

• Opportunity to build real AI solutions beyond proofs-of-concept


• Exposure to LLMs, RAG, Agentic AI and modern AI architectures


• Challenging projects with real business impact


• Technically strong and collaborative teams


• Technical autonomy and ownership


• Continuous learning and certification opportunities


• Exposure to emerging AI technologies and engineering practices


• Flexible Hybrid/Remote working model


• Long-term project stability


• Close support from BindWorks throughout your journey

Location

Lisbon or Porto, Portugal

Hybrid