Platform Engineer II

About the role

The Generative AI Engineer will be responsible for designing, developing, and deploying AI-driven solutions leveraging large language models (LLMs), diffusion models, and other generative frameworks. The role involves collaborating closely with data scientists, software engineers, and business teams to create intelligent, context-aware applications that enhance automation, creativity, and decision-making across the enterprise.

What you'll do

• Design, fine-tune, and deploy large language models (LLMs) and other generative models for specific business use cases
• Build and optimize prompt engineering and model interaction strategies for improved output accuracy and relevance
• Develop APIs, pipelines, and integrations to embed generative AI capabilities into products and workflows
• Collaborate with data engineers to ensure high-quality, domain-relevant datasets for model training and evaluation
• Implement responsible AI principles, including bias mitigation, explainability, and data governance

What you need

• AWS
• GCP
• Python
• Azure
• LLMs
• Prompt engineering
• Any graduate

Good to have

• SQL
• Machine learning
• NLP
• Deep learning
• ETL
• MLOps