Software AI (AWS Bedrock and SageMaker) Engineer
6+Months
Seattle, WA (Onsite)
Key Qualifications:
- Proficient in AWS Bedrock Engineering with 6 to 9 years of relevant professional experience.
- Comprehensive knowledge of Large Language Models (LLM) Engineering principles.
- Proven ability to perform roles involving Relevance and Agreement (RAG), Model Evaluations, and model fine-tuning processes.
- Desirable to have experience with frontend development technologies.
Core Competencies:
- Proficient in developing artificial intelligence solutions using AWS Bedrock and SageMaker platforms.
- Skilled in the design and construction of foundational and application layers atop an enterprise-level metadata framework, with a specific focus on AI applications.
- Demonstrated capability in crafting high-performance query interfaces and APIs, utilizing various AWS offerings including but not limited to API Gateway, Lambda, and container services.
- Adept at creating service layers that facilitate access to Redshift-based data lake environments and metadata infrastructures.
- Innovative approach to AI projects, such as the development of natural language querying, intelligent search features, and automated categorization of data.
- Advanced understanding of Python programming, current API structures (including REST and GraphQL), and MLOps methodologies.
- Well-versed in machine learning frameworks, integration of LLM, and vector search technologies.
- The role entails developing efficacious caching strategies, optimizing queries, and designing access control systems, alongside the creation of production-level AI functions that improve data discovery and utilization.
- The ideal candidate will work collaboratively with Data Engineering teams, ensuring smooth connections between applications and data infrastructure, with a mandate to propel advancements through AI-driven solutions that amplify the utility of our metadata platform.
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