Remote Software engineering Jobs · GenAI

In this role, you will shape how cutting-edge Graph and AI technologies are understood and used by the global developer community, build prototypes that demonstrate real-world integrations, and translate complex concepts into high-impact educational content. Your work will empower developers through blogs, demos, and open source contributions, engaging across community platforms, and fostering learning within the AI ecosystem.

Design, implement, and refine prompts and conversational flows for agentic automation, ensuring high-quality consumer self-service experiences. Develop innovative, scalable components with JavaScript in a specialized scripting framework. Leverage Generative AI coding assistants to accelerate development, improve code quality, and enhance productivity throughout the software lifecycle.

• Build infrastructure that enables quality monitoring across Design Generation.
• Guide Design Generation teams on how to evaluate their systems effectively.
• Build platforms that make evaluation accessible and automated.

• Experiment with integrations that showcase the power of Graph technologies when paired with LLMs, Agents, MCP servers, and the latest AI technology.
• Share knowledge through blogs, open source prototypes, and presentations at AI events.
• Collaborate with a team of developer advocates, content developers, and community managers to build passion for Graph technology.

We are seeking an experienced AWS Architect for designing and optimizing digital contact center solutions by using Amazon Connect and modern GenAI technologies. The ideal candidate will be responsible for lead architecture initiatives and integrating enterprise systems. The role involves delivering intelligent customer and agent experiences through automation, LLMs, and real-time data workflows.

Play a critical role in shaping AI-driven workflows that enhance customer support operations. Design, implement, and optimize backend systems and orchestration frameworks, integrating advanced LLMs and AI tools to improve efficiency and automation. Drive innovation in prompt engineering, retrieval-augmented generation (RAG), and AI orchestration, while mentoring team members and setting technical standards.

Design and implement end-to-end document intelligence pipelines on AWS. Develop and optimize ML models for document classification, segmentation, and field extraction. Build scalable data processing systems handling PDFs up to 2000 pages. Collaborate with subject matter experts to create and refine requirements for extraction. Own features from research through production deployment and monitoring and establish evaluation frameworks.