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Umain Works Linkedin · Posted 29d ago

AI Engineer

Portugal

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AI Engineer

Turn large language models into real business systems. Build intelligent architectures that scale beyond experimentation.

Santa Maria da Feira, Portugal [On location]

Full Time

What you'll do

  • Design, build, and productionize AI and GenAI solutions for enterprise use cases
  • Develop and optimize LLM-based applications, including RAG pipelines and agentic or workflow-based systems
  • ⁠Integrate LLM capabilities into existing applications, APIs, and enterprise platforms
  • Design and implement evaluation strategies to measure the quality, reliability, and performance of LLM applications
  • Build production-ready solutions with appropriate testing, monitoring, observability, and CI/CD practices
  • ⁠Collaborate with technical teams, business stakeholders, and international clients to translate ambiguous requirements into robust technical solutions
  • Contribute to technical design decisions, architecture discussions, and engineering best practices
  • Share knowledge, mentor colleagues, and contribute to the continuous evolution of GenAI engineering practices

Must Have

  • 5+ years of professional software engineering experience, with significant hands-on experience in AI/ML/GenAI
  • Advanced proficiency in Python and commonly used libraries for data processing, machine learning, and AI development
  • Hands-on experience implementing and deploying LLM-based solutions in production
  • Experience designing and building RAG architectures with vector databases
  • Experience building LLM workflows or agentic systems using an orchestration framework
  • ⁠Strong software engineering fundamentals, including API development, testing, system design, CI/CD, and production observability
  • ⁠Hands-on experience designing or implementing evaluation strategies for LLM applications (retrieval quality, groundedness, hallucination detection, regression testing)
  • Fluent English, required for working with international clients

Nice to have

  • Experience with fine-tuning and model evaluation on cloud AI platforms
  • Experience with AI quality, governance, and responsible AI practices
  • ⁠Experience with model deployment in containers and MLOps practices
  • Familiarity with more than one cloud ecosystem

Nice to have | Tech Skills

  • Python & ML: Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow
  • LLMs: GPT-4, Claude, Llama 3, or equivalent models
  • Vector Databases: ChromaDB, Pinecone, Weaviate, Milvus
  • Orchestration Frameworks: LangChain, LlamaIndex, Haystack
  • Cloud AI Platforms: IBM watsonx.ai, AWS Bedrock, Azure AI
  • Evaluation Frameworks: Ragas, Giskard
  • Containers & MLOps: Docker, Kubernetes
  • Cloud Ecosystems: IBM Cloud, AWS, Azure

Soft Skills

  • Enjoys technical knowledge sharing, mentoring, and continuous learning
  • ⁠Strong analytical and problem-solving skills, with the ability to work effectively in ambiguous and evolving GenAI environments
  • ⁠Comfortable communicating technical concepts to both technical and non-technical stakeholders

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