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Key job responsibilities
As a Developer Advocate on Generative AI, you'll be a technical thought leader in leveraging AI-powered tools for software development. You'll create and present technical content on integrating Generative AI into everyday coding practices, including in-depth tutorials, thought leadership articles on best practices and code samples.Your expertise in both traditional software development and Generative AI technologies will position you as a go-to expert for developers seeking guidance on enhancing their development processes with AI. You'll mentor other developers, helping them effectively integrate Generative AI tools into their workflows.You'll inform AWS product roadmaps with insights from real-world developer experiences and challenges in adopting Generative AI tools. You'll participate in early-stage product ideation for developer tools and services, bringing the voice of practical software developers to the table.You'll support Developer Relations activities across the region, focusing on how Generative AI can solve common development challenges and improve overall productivity.A day in the life
In the afternoon, you might spend time answering questions on Stack Overflow about integrating AWS Generative AI services into everyday software development tasks.Your day might conclude with some experimental coding, investigating ways to combine these AI-powered tools with traditional software development practices to create more efficient development workflows.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience
- 5+ years of experience in Software Development and Cloud Computing building performant and scalable applications
- Experience working with generative AI models, including text, image, and video generation, and familiarity with key concepts like foundational LLMs, prompt engineering, RAG, and model fine-tuning techniques (such as instruct tuning, PEFT, RLHF).
- Excellent communication and public speaking skills, with experience delivering technical content to developers of varied backgrounds.
- Proven experience developing applications using generative AI tools and foundational models, including prototypes and production-ready solutions.
- Proficiency with modern LLM/AI tools (e.g., LlamaIndex, Amazon Q, LangChain, and vector databases), and a strong interest in exploring new tools and techniques within the GenAI ecosystem.
- Experience with AWS AI/ML services such as Amazon Bedrock, and understanding of how to integrate these services into generative AI workflows.
- Demonstrable experience engaging with developer communities, including creating technical content, public speaking, or active participation on platforms like GitHub, Stack Overflow, or developer forums.
- Willingness to travel as required.
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