Generative AI Product Engineer

Meet Genesis

Genesis Digital Solutions is a consulting and technology company that helps organizations turn ideas into measurable business impact through digital expertise and AI innovation. Founded in 2018, we operate across Portugal and the United Arab Emirates, supporting clients in multiple industries with intelligent, scalable, and secure solutions. We combine strategy, engineering, and emerging technologies such as AI, Data, Web3, and Digital Product Development to drive transformation end to end. Our focus is on building practical, human-centered solutions and long-term partnerships that enable sustainable growth, innovation, and real-world results.

Your Next Challenge

What You’ll Work On

• Designing and building enterprise-grade Generative AI capabilities.
  


• Engineering prompts, AI workflows, and retrieval pipelines for LLM-powered applications.
  


• Developing and enhancing Retrieval-Augmented Generation (RAG) solutions.
  


• Designing AI evaluation frameworks, benchmark methodologies, and quality metrics.
  


• Building high-quality datasets for AI validation and continuous model improvement.
  


• Improving the accuracy, reliability, and performance of Generative AI solutions.
  


• Prototyping, testing, and evaluating new LLMs, AI models, and emerging AI technologies.
  


• Monitoring AI behaviour in production and contributing to AI observability and performance analysis.
  


• Collaborating with international teams to deliver enterprise-scale AI solutions.
  

What We’re Looking For

• Minimum of 4 years of experience in AI Engineering, Machine Learning, or Data Science.
  


• At least 18 months of hands-on experience delivering Enterprise Generative AI solutions.
  


• Strong expertise in: LLM Engineering, Prompt Engineering, Knowledge Engineering, AI Evaluation, Retrieval-Augmented Generation (RAG), AI Experimentation, AI Quality Engineering, AI Observability.
  


• Strong Python and SQL programming skills.
  


• Experience with AI engineering and LLM observability platforms such as MLflow, Langfuse, or Arize.
  


• Strong analytical and problem-solving skills with a passion for AI innovation.
  


• Availability to work on international projects and collaborate with global teams.
  
  

Bonus Points

• Hands-on experience with Azure OpenAI or OpenAI APIs.
  


• Experience with LangChain, LangGraph, Semantic Kernel, or Azure AI Foundry.
  


• Knowledge of Vector Databases and semantic search technologies.
  


• Experience with AI monitoring and observability tools such as Grafana AI.
  


• Familiarity with enterprise AI governance and responsible AI practices.
  

Why You’ll Stay

• A workplace at the forefront of Enterprise Generative AI innovation.
  


• Opportunity to build cutting-edge AI products with real business impact.
  


• International projects using the latest AI technologies and frameworks.
  


• Support for professional development, training, and certifications.