Software Development Engineer 5 GenAI

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.

Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization and we know the next big idea could be yours!

As a Senior Software Development Engineer at Adobe you will lead crafting developing and deploying scalable software solutions that use modern Generative AI (GenAI) models and infrastructure. This position combines classic senior software engineering skills with advanced AI/ML methods including Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) and agentic systems!

We are seeking a highly experienced and hands-on Senior Software Engineer to join our Data Platforms team. You will play a key role in developing innovative AI-powered features and platforms that address complex business challenges and improve operational efficiency. This role requires deep expertise in software architecture cloud-native development and the implementation of robust scalable GenAI solutions.

Key Responsibilities

• Design & Development: Architect and implement scalable GenAI agents applications and microservices using modern protocols and standard processes.
• AI Integration: Collaborate with AI scientists and data engineers to integrate machine learning models such as LLMs and multi-modal AI into the application architecture.
• Infrastructure & Deployment: Develop and manage large-scale API infrastructure along with CI/CD pipelines. Use containerization technologies like Docker and Kubernetes and cloud services such as AWS GCP and Azure to support smooth deployment and monitoring.
• RAG & Optimization: Implement solutions using RAG (Retrieval-Augmented Generation) patterns timely engineering and model fine-tuning techniques to optimize AI performance and cost.
• Quality & Mentorship: Enforce code quality conduct comprehensive code/build reviews and provide technical leadership and mentorship to junior team members.
• Problem Solving: Triage debug and resolve complex issues across multiple systems ensuring the reliability performance and security of GenAI solutions.

Required Qualifications & Skills

• Experience: 10 years of professional software development experience with at least 2-3 years of experience specifically with GenAI techniques or related concepts.
• Technical Proficiency: Extensive knowledge in one or more programming languages chiefly Python and associated libraries (e.g. LangChain Transformers PyTorch/TensorFlow).
• Cloud & DevOps: Practical experience working with cloud platforms (AWS GCP or Azure) containerization tools (Docker Kubernetes) and continuous integration and delivery pipelines.
• AI Knowledge: Strong understanding of AI/ML infrastructure model deployment/evaluation vector databases and AI-specific concepts like agentic workflows.
• Education: A Bachelors degree or equivalent experience in Computer Science Software Engineering or a related technical field.
• Soft Skills: Excellent problem-solving analytical and communication skills. Ability to work effectively in an agile environment.

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