Trainee / Junior AI Engineer supporting real customer projects at WE BUILD AI. Working with AI applications including automation solutions and machine learning models in a hybrid environment.
About the role
- AI Engineer designing and deploying AI-powered systems for consulting teams. Collaborating closely to ensure robust and scalable AI solutions.
Responsibilities
- Design and develop AI-powered systems using both traditional ML and generative AI techniques
- Build intelligent applications and agents that can perform tasks autonomously or interactively
- Create modular, well-documented APIs and service components to enable model integration and consumption
- Develop and manage data pipelines, including data collection, transformation, and quality assurance to support model training
- Implement observability and evaluation mechanisms to monitor AI system behavior
- Collaborate with software engineers, data scientists, and solution architects to ensure seamless design, development, and transition to production
Requirements
- Minimum of 4 years of hands-on experience in AI/ML development or intelligent application engineering
- Proficiency in Python and familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)
- Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks
- Exposure to agent frameworks (e.g., LangGraph, AutoGen) and vector databases
- Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)
- Familiarity with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google AI/ML services
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Wellness programs
- Paid Time Off
- Parental leave
- Adoption assistance
- Employee stock purchase plan
- 401(k) with employer match
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