Software Development Engineer
Adobe Software
JOB LEVEL
P20EMPLOYEE ROLE
Individual ContributorBackend Engineer – ML/AI & Generative AI
About the Role
We are seeking a highly skilled Backend Engineer with a strong foundation in distributed systems and backend development, combined with practical experience in Machine Learning (ML), Artificial Intelligence (AI), and Generative AI applications. The ideal candidate will build scalable backend solutions that support AI-powered products, collaborating closely with data scientists and ML engineers to innovate, implement, and improve intelligent systems.
Key Responsibilities
- Design, develop, and maintain scalable backend services and APIs for AI-powered applications.
- Collaborate with ML/AI researchers and data scientists to productionize models (including LLMs, recommendation systems, and generative models).
- Implement efficient data pipelines to support training, evaluation, and deployment of models.
- Optimize inference systems for low-latency, high-throughput environments.
- Ensure backend systems are secure, resilient, and observable (logging, monitoring, tracing).
- Evaluate and integrate Generative AI APIs/SDKs (e.g., OpenAI, Anthropic, Hugging Face, etc.) into production systems.
- Contribute to architecture discussions, system design, and code reviews.
- Stay updated with emerging trends in GenAI, LLMOps, and backend technologies.
Required Qualifications
- Bachelor’s/Master’s degree in Computer Science, Engineering, or equivalent practical experience.
- 3–7 years of backend engineering experience (depending on seniority).
- Strong proficiency in one or more backend languages: Python, Java, Go, or Node.js.
- Experience with ML/AI frameworks and tooling (TensorFlow, PyTorch, Hugging Face, LangChain, etc.).
- Proven experience building RESTful APIs, gRPC, or GraphQL services.
- Solid understanding of databases (SQL and NoSQL), caching, and distributed systems.
- Hands-on experience deploying models in production (Docker, Kubernetes, cloud ML services).
- Familiarity with GenAI concepts (prompt engineering, embeddings, vector databases, fine-tuning).
Preferred Qualifications
- Exposure to cloud platforms (AWS, GCP, Azure) and serverless technologies.
- Knowledge of data privacy, compliance, and responsible AI practices.
- Contributions to open-source ML/AI or GenAI projects.
Internal Opportunities
Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!
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At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
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