**The Opportunity **
Adobe empowers individuals and organizations to create exceptional content effortlessly. The AI for Engineering team builds a scalable, production-grade AI platform that powers creativity across design, imaging, motion, and personalization.
We are seeking an **AI Platform Engineer **for an "AI for Engineering" team to design and build the next-generation AI Platform that brings intelligent, adaptive, and agentic experiences to engineers and products at Adobe Express. This role is ideal for an engineer who deeply understands how modern LLMs and generative models behave in real-world systems — including reasoning patterns, tool use, prompt dynamics, failure modes, and orchestration strategies — and can translate that understanding into scalable, production-ready platforms. You will define and build the end-to-end architecture that enables Agentic AI solutions solving real engineering problems— spanning model orchestration, tool integration, memory systems, inference services, data flows, evaluation loops, and real-time decision systems.
This is a systems-first AI role focused on building intelligent platforms.
**What You’ll Do **
- Build and maintain backend services that provide scalable, reliable access to structured and unstructured data for AI systems.
- Develop and optimize data ingestion, transformation, and preparation pipelines to support model training, fine-tuning, and retrieval workflows.
- Implement and support Retrieval-Augmented Generation (RAG) pipelines, including document processing, embedding generation, and vector database integration.
- Contribute to AI orchestration layers that connect LLMs with tools, APIs, memory systems, and internal data sources.
- Assist in building and maintaining runtime systems for LLM inference, ensuring performance, logging, and monitoring guidelines.
- Implement APIs and microservices that expose AI capabilities securely and efficiently to internal developer teams.
- Help design and manage contextual data flows and session-level state management for AI-driven applications.
- Contribute to evaluation and feedback pipelines that measure model outputs, accuracy, latency, and reliability.
- Work closely with senior engineers to productionize AI prototypes and research into stable, scalable services.
- Participate in debugging, performance tuning, and operational support for AI platform services.
**What You’ll Bring **
- 4+ years of experience in backend engineering, distributed systems, or data platform development.
- Solid understanding of backend fundamentals: APIs, microservices, databases, caching, and cloud-native systems.
- Experience working with data pipelines, ETL workflows, or data processing frameworks.
- Familiarity with LLM concepts such as prompting, embeddings, RAG, grounding, and basic evaluation techniques.
- Hands-on experience with Python and/or TypeScript; exposure to Java or Go is a plus.
- Experience integrating APIs or working with external services in production environments.
- Basic understanding of vector databases, search systems, or information retrieval concepts.
- Strong debugging skills and an interest in performance, reliability, and observability.
- Ability to collaborate effectively with platform, research, and product teams. Strong curiosity about AI systems and a desire to learn modern LLM and agent orchestration patterns.
**Preferred Qualifications **
- Experience building small-scale AI or LLM-powered applications.
- Exposure to RAG systems, embeddings pipelines, or vector databases (e.g., Pinecone, Weaviate, FAISS).
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Understanding of basic ML lifecycle concepts (training, validation, evaluation).
- Contributions to academic, open-source, or experimental AI projects
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
** Let’s Adobe together**
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.