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GenAI Developer

Romania, Cluj · Job Posted July 14, 2026
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Job Description

We are seeking an experienced engineer to design, build, and scale cloud-native and generative AI–driven solutions. The ideal candidate combines strong expertise in Python, scripting, Linux, and public cloud platforms with hands-on experience in AI/ML or GenAI frameworks. You should be a proactive problem solver, comfortable working in agile environments, and passionate about developing intelligent, high-impact systems.

Job Responsibility

  • Design and build AI-driven workflows for document extraction and processing
  • Develop and integrate AI pipelines into enterprise applications
  • Support scaling of AI capabilities across datasets and use cases
  • Ensure alignment with enterprise architecture, data governance, and security standards
  • Collaborate with data, platform, and application teams to deliver integrated solutions
  • Build and optimise AI pipelines for extraction, transformation, and validation
  • Ensure accuracy, quality, and performance of AI outputs
  • Implement validation frameworks and tracking for AI model performance
  • Deploy AI services through secure APIs into production environments
  • Embed QA and governance practices into AI development lifecycle
  • Support continuous improvement of AI models and workflows

Requirements

  • Bachelor's degree in Computer Science, Business Informatics, Mathematics, or a comparable qualification
  • Minimum 5-7 years of experience
  • Experience with AI/ML workflows and document intelligence solutions
  • Strong programming skills (Python, APIs, data processing frameworks)
  • Experience with cloud-based AI services and scalable architectures
  • Understanding of model validation, accuracy, and lifecycle management
  • Experience integrating AI into enterprise systems
  • Leverage AI-assisted tools to accelerate development, testing, and optimisation of AI pipelines
  • Use AI techniques to improve automation, extraction accuracy, and operational efficiency
  • Support broader adoption of AI-assisted engineering practices
  • Ensure responsible and secure use of AI technologies in line with enterprise policies
  • Continuously explore emerging AI capabilities to enhance delivery outcomes
  • Experience developing and deploying AI or machine learning solutions
  • Strong programming and analytical skills
  • Understanding of model validation, performance, and governance
  • Experience integrating AI into production systems
  • Experience working in Agile/DevOps teams

What we offer

  • Smooth integration and a supportive mentor
  • Pick your working style: Remote, Hybrid or Office work opportunities
  • Flexible working hours
  • Sponsored certifications, trainings and top e-learning platforms
  • Private Health Insurance
  • Individual coaching sessions and accredited Coaching School
  • Parties and themed events

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