Platform Engineer II

Job summary

The Generative AI Engineer will design, develop, and deploy AI-driven solutions using large language models and other generative frameworks.

Qualifications

• Proficiency in Python and frameworks like PyTorch or TensorFlow.
• Experience in SQL, Machine Learning, and Big Data.
• Experience with LLM APIs and vector databases.
• Familiarity with prompt engineering and model fine-tuning.
• Strong understanding of NLP, deep learning, and data pipeline design.
• Exposure to cloud platforms and MLOps tools.
• Strong problem-solving and analytical thinking.

Responsibilities

• Design, fine-tune, and deploy large language models and generative models for business use cases.
• Build and optimize prompt engineering and model interaction strategies.
• Develop APIs, pipelines, and integrations for generative AI capabilities.
• Collaborate with data engineers for high-quality datasets.
• Implement responsible AI principles including bias mitigation and explainability.
• Monitor model performance and refine models through feedback.
• Stay updated with trends in AI research and frameworks.
• Contribute to knowledge sharing and best practices for AI deployment.

Skills

Relocation