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Key job responsibilities
Architect and implement core components of the Generative AI system powering the Automated AssistantIntegrate large language models for retrieval-augmented code generation models into the productBuild robust APIs, data pipelines, and infrastructure to support AI model deployment at scaleOptimize model performance, latency, and cost by building tests and continuously improving the frameworkDevelop interfaces to manage prompts, provide feedback, and improve the Automated AssistantA day in the lifeArlington, VA, USA
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Familiarity with natural language processing, information retrieval, or generative modeling
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Prior experience building and deploying large language models applications or generative AI systems
- Knowledge of responsible AI practices like bias mitigation, privacy preservation
- Proficiency with AWS AI/ML services like SageMaker, Bedrock, etc.
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