Technical Architect (Python & AI)
Roles and Responsibilities
• Design and architect complex Generative AI solutions using AWS technologies
• Develop advanced AI architectures incorporating state-of-the-art GenAI technologies
• Create and implement Retrieval Augmented Generation (RAG) and GraphRAG solutions
• Architect scalable AI systems using AWS Bedrock and SageMaker
• Design and implement agentic AI systems with advanced reasoning capabilities
• Develop custom AI solutions leveraging vector databases and advanced machine learning techniques
• Evaluate and integrate emerging GenAI technologies and methodologies
Qualifications Required
• Bachelor's degree in Business, Computer Science, Engineering or a related field.
Technical Skills
• Advanced Python programming for AI/ML applications
• Deep understanding of:
o Large Language Models (LLMs)
o Machine Learning architectures
o AI model fine-tuning techniques
o Prompt engineering
o AI system design and integration
Generative AI Technologies
• Expert-level understanding of:
o Retrieval Augmented Generation (RAG)
o GraphRAG methodologies
o LoRA (Low-Rank Adaptation) techniques
o Vector Database architectures
o Agentic AI design principles
AWS AI Services
• Comprehensive expertise in:
o AWS Bedrock
o Amazon SageMaker
o AWS AI/ML services ecosystem
o Cloud-native AI solution design
Skills and Experience Required
Core Competencies
• Advanced AI solution architecture
• Machine learning model optimization
• Cloud-native AI system design
• Performance tuning of GenAI solutions
• Enterprise AI strategy development
Technical Stack
• Programming Languages: Python (required)
• Cloud Platform: AWS
• AI Technologies:
o Bedrock
o SageMaker
o Vector Databases
• Machine Learning Frameworks:
o PyTorch
o TensorFlow
o Hugging Face
• AI Integration Tools:
o LangChain
o LlamaIndex
Why you'll love working with us:
• Opportunity to work with a passionate and innovative team.
• Exposure to cutting-edge technologies and product development practices.
• Career growth and learning opportunities in a dynamic work environment.
• Competitive salary and benefits package.