Senior Software Engineer, Agentic Systems

The Opportunity

Adobe is looking for aSenior Software Engineer (Agentic Systems)to help build an AI-driven development platform that moves new AI/ML and Generative AI capabilities from research into production across Adobes flagship creative this role you will design and build the agents orchestration systems and evaluation infrastructure that translatecutting-edgeresearch models and specifications into reliable production-ready services partnering closely with Adobe Research product engineering and platform teams.

You will join a team responsible for the ML cloud services that power features used daily by millions of creators across products like Photoshop Lightroom Illustrator Express Stock and enterprise surfaces. This is a hands-on senior IC role defining a new engineering discipline building the systems that build software with direct impact on how quickly AI capabilities reach customers.

The Team

Our team includes dedicatedmachine learningsoftware ml-opsanddev-opsengineers from a diverse set of backgrounds who are encouraged to bring their experience ideas and creativity to produce the best possible outcomes. We operatewith agility and learn from failure. The highly dynamic environment allows us to grow while we add new value and deliver impactful results. As a member of the team you will interact with others who are genuine and want you to succeed. Your talent experience and voice are valued and will make a difference.

Whatyoulldo

• Design build andoperatean ecosystem of agentstobuildoptimizeevaluateand deployresearch model specifications and inference pipelines into production-ready services

• Design and maintain evaluation frameworks and infrastructure to continuously measure and improve agent quality reliability and safety

• Build or integrate required new functionality with supporting platform infrastructure

• Identify and resolve platform and workflow bottlenecks that limit how quickly AI-driven systems and agent-generated changes can be developed reviewed and deployed

• Collaborate closely with Research Product and Engineering partners to define the standards (API schemas testing security) that generated code must meet

• Ensure services meet production standards for observability monitoring logging and incident response

• Participate in on-call and production support contributing to a culture ofcustomer focusedoperational excellence

What you need to succeed

• 5 years of experience building and operating production software systems including hands-on experience building or operating LLM-driven agents or agentic pipelines not just using coding assistants

• Strong understanding of agentarchitectures reasoningretrieval tool use and multimodal capabilities.

• Familiarity with AI agent ecosystems and standards such as MCP servers APIs and semantic retrieval

• Experience designing or working with evaluation frameworks that measure the quality reliability and safety of AI-driven systems

• Experience with retrieval-augmented generation (RAG) and agent memory or session-persistence systems

• Strong distributed systems background: service discovery secrets/credential management and multi-tenant infrastructure on Kubernetes

• Working familiarity with modern generative and computer vision architectures (Transformers Diffusion models GANs CLIP VAEs MLLMs) sufficient to design systems that generate and validate code using them

• Proficiencywith core technologies such asPythonPyTorch TensorFlow.Docker Kubernetes AWS

• Nice to have: Familiarity with model serving and inference optimization tooling (e.g. NVIDIA TritonTorchServe ONNX CUDA) and techniques such as quantization and pruning useful for collaborating with the teams ML engineers though not a core requirement for this role