About this role
The team is seeking an experienced AI Engineer to design, build, and operationalize machine learning and generative AI systems. This role will take projects from prototype to production, ensuring that models are accurate, scalable, and reliable.
Key Responsibilities:
- Build, evaluate, and deploy machine learning and deep learning models for production.
- Develop LLM-based and agentic applications, including RAG pipelines and tooling.
- Create and maintain data and deployment pipelines to support the operationalization of AI systems.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems.
- Continuously monitor and improve model performance and system reliability.
Required Skills & Qualifications:
- Strong experience in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python and familiarity with libraries like scikit-learn.
- Experience with LLMs and agentic applications.
- Knowledge of data engineering principles and tools.
- Strong problem-solving skills and ability to work in a fast-paced environment.
Experience:
- Minimum of 5 years of experience in AI engineering or related fields.
What we offer:
- Opportunity to work on cutting-edge AI technologies.
- Collaborative and innovative work environment.
- Professional development and growth opportunities.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.