Lead AI Engineer

InnoTech
05, February 2026
IA e Ciência de Dados
Tempo inteiro

Descrição do trabalho

A Company you will be happy to grow with!;

At InnoTech, it´s all about connecting people with business through technology;

We care about you, your happiness, and your well-being;

We seek people who want to learn and further improve their skills with us – growth is part of our DNA, and that’s why we’re proud to be certified as a Great Place to Work and to be among the Top 50 Best Workplaces in Portugal!;

For us, sustainability is not just a word;

Integrity and social responsibility lead our behavior;

We dare to be different, ambitious, dream big, and deliver value like no other!;

You will have the opportunity to work with top-level partners in the banking area, insurance, retail, telecommunications, financial services, and so much more!;

We are 180+ InnoTechers, and we want your talent as a Lead AI Engineer.

  • Your Mission Will Be
  • Develop and integrate LLM-based features such as classification, summarization, extraction, and action-oriented outputs;
  • Design and implement embedding, retrieval, and RAG-based pipelines for semantic search and contextual generation;
  • Benchmark, validate, and optimize model performance across multiple hardware backends and constrained environments;
  • Define evaluation strategies, metrics, and quality gates to ensure reliable LLM behavior in production;
  • Integrate and operate models within production systems, APIs, and data pipelines.
  • You Will Need
  • Strong hands-on experience with LLMs, NLP systems, and Python-based ML frameworks;
  • Proven experience building and maintaining production-grade data and inference pipelines;
  • Solid understanding of model evaluation, regression detection, and latency/accuracy trade-offs;
  • Experience with embeddings, vector databases, and modern RAG architectures;
  • CPLP nationality or an EU work permit is required to facilitate employment.
  • Would Be Awesome If You Have
  • BSc or MSc in Computer Science/Engineering, Information Technology, or related fields;
  • Experience with MLOps practices, monitoring, and model lifecycle management;
  • Hands-on experience deploying models on edge or embedded devices with resource constraints;
  • Familiarity with inference runtimes such as ONNX Runtime or TensorFlow Lite / LiteRT;
  • Experience running experiments on prompts, models, and architectural approaches.
  • With Us You Can Be a
  • TechThinker – people who want to re-imagine technology with us;
  • TechSolver – strategic, resilient, and a little bit of a puzzle lover;
  • InnoMinder – inhale innovation, exhale digital transformation;
  • InnoTecher – no words needed. Just happiness, talent, and all the above!.

Are you convinced? Come see it for yourself.

Join our Top-Notch Team!

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