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Key Responsibilities

Develop agentic AI workflows with Dify.ai, LangChain, or LlamaIndex
Build and integrate autonomous AI agents and RAG pipelines with vector databases (Milvus, Pinecone, Qdrant, FAISS, Weaviate)
Integrate LLMs (GPT, Claude, LLaMA, Mistral, Gemini, etc.) into business solutions
Extend platforms via APIs, plugins, and custom backend logic (Python)
Collaborate with product and engineering teams to deliver scalable AI applications
Deploy solutions with Docker (Kubernetes a plus)

Required Skills

4 to 9 years in software engineering or AI/ML development
Practical experience with agentic AI workflows (Dify.ai, LangChain, LlamaIndex, Haystack, etc.)
Strong Python skills; experience with vector databases & RAG
Familiarity with React or TypeScript (for UI/workflows)
API integration and deployment with Docker

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Key Responsibilities:

Technical Evangelism: Represent AWS Generative AI at industry conferences, meetups, and other events, sharing insights and best practices.
Content Creation: Develop high-quality technical content, including blog posts, tutorials, code samples, and documentation.
Community Engagement: Build and nurture a vibrant developer community, responding to questions, providing support, and fostering collaboration.
Product Feedback: Gather feedback from developers and translate it into actionable insights for product teams.
Technical Deep Dives: Conduct technical deep dives and workshops to educate developers on the latest AI technologies and AWS services.
Collaboration: Work closely with engineering and product teams to understand product roadmaps and contribute to technical strategy.

Basic Qu

Generative AI Developer

Developer Advocate - Generative AI, AWS Developer