Join a leading tech innovator to design and launch production‑grade AI systems that power next‑generation creative tools. You’ll lead the bridge between cutting‑edge Generative AI research and robust, scalable software that serves millions of users.
What You’ll Do
- Design and build highly available backend architectures for AI‑powered platforms.
- Develop Agentic AI workflows and multi‑model RAG pipelines using LangChain or LlamaIndex.
- Fine‑tune LLMs with LoRA/QLoRA and perform prompt engineering for efficiency.
- Create high‑performance RESTful or GraphQL APIs with FastAPI or Flask.
- Implement data ingestion, preprocessing, and LLMOps including versioning and monitoring.
- Mentor junior engineers and enforce code quality through rigorous reviews.
What You Need
- Expert Python (5+ years), async, OOP, and design patterns.
- Strong experience with PyTorch or TensorFlow and Hugging Face ecosystem.
- Proficiency in vector databases such as Pinecone, Weaviate, or FAISS.
- Hands‑on cloud deployment on AWS, Azure, or GCP.
- Data engineering using Pandas, NumPy, and SQL/NoSQL databases.
- Docker, Kubernetes, and CI/CD (Jenkins or GitHub Actions) expertise.
Good to Have
- 7+ years software development with 1‑2 years Generative AI focus.
- Bachelor’s or Master’s in Computer Science or related field.
The Opportunity
Adobe’s 30,000‑strong global team is building AI‑driven creative products, offering you a chance to shape the future of digital creation. The role offers a platform to influence large‑scale AI deployments across Adobe’s extensive portfolio.