• Shipping working demos with LLMs, agents, and APIs
• Building with Semantic Kernel, Vercel, vector DBs
• Ideating and exploring new AI use cases and UX patterns
• Writing reusable boilerplate and documenting lessons learned
• Collaborating with a designer and a Microsoft expert to unlock full-stack innovation

• Rapid AI Development: Own the end-to-end lifecycle of building MVPs—from ideation to deployed MVP (frontend, backend, model orchestration, UI polish).
• AI Feature Innovation: Design and prototype AI-native user experiences (RAG, agents, multimodal interfaces, embeddings, voice/chat, multi-agent orchestration, etc.).
• Tool Integration: Integrate foundation models (OpenAI, Claude, open source), vector DBs, third-party APIs, and internal tools.
• Code, Ship, Iterate: Work in short cycles (1–3 weeks) to validate ideas with working code, not slide decks.
• Research Translation: Bridge bleeding-edge AI research into practical applications. Stay up-to-date with model capabilities and ecosystem tools.
• Cross-Team Collaboration: Work with product, design, and research to explore UX/tech possibilities and co-create product spikes.
• Open Source & Demos: Maintain demoable GitHub repos and open projects to share team learnings and attract contributors.

• Building and deploying AI solutions directly with customers using Frontend (preferably React/Next.js, Tailwind, Vercel) and Backend (preferably Node, Python, serverless or edge compute preferred)
• Translating business problems into technical AI solutions (we use LangChain, LlamaIndex, OpenAI, HuggingFace, vector DBs, RAG, Semantic Kernel, Autogen knowledge is a plus)
• Owning the full lifecycle: design build deploy iterate. You have tailored an AI platform (internal or third-party) in a customer’s environment—integrating APIs, tuning models, building dashboards, and connecting systems.
• Experience wiring up APIs, building full-stack apps, and deploying fast.
• Strong product sense—can translate fuzzy ideas into testable experiences quickly.
• Bonus: contributions to open source, AI dev tooling, or community-driven features.

• Builder's DNA: You love to ship. You get energy from working code, not decks.
• Curious: Always testing out new AI APIs, features, and open source projects.
• Fast & Iterative: You ship in days, not months. You’re allergic to over-planning.
• Product-Oriented: You think about UX, not just APIs. You believe AI UX is still a frontier to be invented.
• Independent: You don’t need a spec—you create it through prototyping.
• Community-Engaged: You might have a newsletter, GitHub repo, or AI blog. You want your work to be seen and useful.

How we hire

At Sitecore, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centers around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.