Forward Deployed AI Engineer
Description
About Us:
At Sitecore, our mission is to simplify how brands reach, engage, and serve people by delivering intelligent, personalized digital experiences that connect the world. We empower the world’s most iconic brands to build lifelong relationships with their customers—seamlessly, smartly, and at scale.
As the leading provider of agentic digital experience software, Sitecore brings together content, commerce, and data into one composable platform that enables brands to deliver millions of meaningful, adaptive experiences every day. Trusted by global leaders such as American Express, Porsche, Starbucks, and L’Oréal, Sitecore helps brands transform engagement through experiences that are not only personalised but predictive and dynamic.
Our foundation is our people—a diverse, passionate, and collaborative global team spanning over 25 countries. We believe that every experience matters, and that belief starts with how we work together. Our values guide how we lead, innovate, and connect. They are the behaviors that bring our mission and vision to life, every day, in every interaction.
As we continue to evolve, we are actively cultivating AI skills across our teams to unlock new levels of creativity, efficiency, and insight. From engineering to customer experience, AI capabilities are becoming integral to how we design, build, and deliver the next generation of digital experiences.
Learn more at Sitecore.com.
About the Role:
We are looking for a Senior Full-stack AI builder who can go from concept to production-ready prototype in days. This is a hybrid role that combines machine learning/AI expertise, front end engineering, and close collaboration with customers. In this role, you will be responsible for:
- 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
What You’ll Do:
- 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.
What You Need to Succeed
5+ years of experience with a proven track record of building and launching side projects or startups (ideally with a strong GitHub/public portfolio).
Strengths in:
- 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.
Key Traits:
- 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.
Sitecore is proud to be an equal opportunity workplace. We are committed to equal employment opportunity without unlawful regard to race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, veteran status or any other local legally protected characteristic.
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.