GE Aerospace

AI Lead Developer (w/m/x)

GE Aerospace
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17 days ago
Warsaw, PolandSenior

Responsibilities

  • Develop and implement AI and generative AI solutions for business and engineering use cases.
  • Build, test, and deploy applications using machine learning, NLP, LLMs, and related technologies.
  • Translate functional and technical requirements into working AI solutions.
  • Implement RAG-based, prompt-driven, and other AI-enabled applications.
  • Integrate AI capabilities into existing tools, systems, and workflows.
  • Partner with technical leads and architects to ensure solutions are scalable, supportable, and aligned with standards.
  • Participate in experimentation, prototyping, validation, and production deployment.
  • Troubleshoot deployed AI solutions and support continuous product enhancement.
  • Follow development, testing, and documentation practices while contributing to team knowledge sharing and AI capability building.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, or a related field.
  • Relevant professional experience in AI development, machine learning, software engineering, or related technical roles.
  • Hands-on experience developing and implementing AI or ML solutions in a business environment.
  • Experience with Python and common AI/ML development frameworks.
  • Knowledge of machine learning, natural language processing, and generative AI applications.
  • Experience building or supporting chat-based tools, prompt-based workflows, RAG applications, or model/API integrations.
  • Familiarity with cloud platforms such as Azure, AWS, or GCP.
  • Understanding of APIs, deployment practices, and production support considerations.
  • Strong problem-solving, collaboration, and communication skills.
  • Preferred qualifications include MLOps or LLMOps experience, vector databases, embeddings, semantic search, AI testing and monitoring, multimodal AI, document intelligence, speech-enabled solutions, responsible AI, privacy, secure implementation, Agile delivery, and mentoring or technical task leadership.

Benefits

  • Flexible work schedule and hybrid work model.
  • Competitive salary and annual bonus.
  • Copyright-cost tax reduction.
  • Global career opportunities in the aerospace industry.
  • Continuous learning, onboarding, and mentoring support.
  • Employee initiatives and interest groups, including GE Women’s Network, PRIDE Alliance, HealthAhead, Early Careers Network, and GE Aerospace Volunteers.
  • Relocation assistance is not provided.
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