📋 Description

• Design, develop, test, and deploy AI and machine learning applications
• Build generative AI solutions using LLMs, RAG, and prompt engineering
• Integrate AI capabilities into existing products and workflows
• Develop data pipelines for model training, evaluation, and inference
• Establish evaluation frameworks for model accuracy, safety, and cost
• Monitor AI applications in production and improve performance

🎯 Requirements

• 5+ years in software or machine learning engineering
• 3+ years with Python and software development best practices
• 3+ years hands-on with generative AI and large language models
• Experience with AWS Bedrock, SageMaker, and Docker
• Familiarity with CI/CD, APIs, cloud platforms, and databases
• Familiarity with PyTorch, TensorFlow, or LangChain is desirable

🎁 Benefits

• Comprehensive health, well-being, and financial benefits
• Medical, dental, and vision coverage may be available
• Paid time off and company holidays
• Professional growth and learning opportunities
• Work on innovative AI solutions in a collaborative environment
• Remote work arrangement