Amazon Senior SDE GenAI FireTV 

United States, Washington, Seattle 

381354703

As our GenAI Technical Leader, you'll architect next-generation developer tools that harness the power of Large Language Models, keeping us at the forefront of AI innovation. You'll have the unique opportunity to influence our technical direction, collaborate with teams across the organization, and drive the adoption of transformative AI solutions.
Key job responsibilities
- Lead the research, evaluation, and implementation of next-generation Generative AI and Large Language Model (LLM) technologies to enhance developer productivity
- Design and develop scalable, enterprise-grade developer tools leveraging Generative AI capabilities
- Create frameworks and solutions that enable seamless integration of GenAI technologies into existing development workflows- Establish best practices and guidelines for GenAI tool development and usage across the organization
- Drive adoption of GenAI tools through technical demonstrations, workshops, and documentation
- Mentor fellow engineers on GenAI technologies and implementation strategies
- Evaluate and optimize the performance, security, and cost-effectiveness of AI-powered solutions

- 8+ years of non-internship professional software development experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 8+ years of programming with at least one software programming language experience
- 8+ years of software development experience with 2+ years focusing on AI/ML technologies
- Experience with LLM frameworks (e.g., LangChain, LlamaIndex) and AI platforms (e.g., OpenAI, Anthropic)
- Deep understanding of software architecture and system design principles
- Proven track record of building developer tools and platforms
- Excellent communication skills with ability to explain complex technical concepts
- Experience with CI/CD pipelines and DevOps practices

- Experience with prompt engineering and LLM fine-tuning
- Contributions to open-source AI projects
- Background in developer productivity or developer experience roles
- Master's degree in Computer Science or related field