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
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
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
Keyskills: Python GraphRAG AWS AI Generative AI AI/ML Prompt engineering AWS Amazon SageMaker
Fission Labs is a Software Product Development & Services company delivering high-end solutions primarily in the areas of highly scalable cloud applications and analytics for large sets of data. Few of the challenges we are working on are scaling an application to support 150 million users, real-tim...