Senior Software Engineer, Agentic Systems

About the role

Adobe is seeking a Senior Software Engineer (Agentic Systems) to develop an AI-driven development platform that integrates cutting-edge research models into production-ready services for Adobe's creative products.

Responsibilities

• Design and build agents, orchestration systems, and evaluation infrastructure to translate research models into production services.
• Collaborate with Adobe Research, product engineering, and platform teams to define standards for API schemas, testing, and security.
• Build or integrate new functionality with platform infrastructure to address bottlenecks in AI-driven system development and deployment.
• Ensure services meet production standards for observability, monitoring, logging, and incident response.
• Participate in on-call and production support, contributing to a culture of customer-focused operational excellence.

Requirements

• 5+ years of experience building and operating production software systems, including hands-on experience with LLM-driven agents or agentic pipelines.
• Strong understanding of agent architectures, including reasoning, retrieval, 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 to measure the quality, reliability, and safety of AI-driven systems.
• Proficiency with retrieval-augmented generation (RAG) and agent memory or session-persistence systems.
• 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).
• Core technology proficiency: Python, PyTorch, TensorFlow, Docker, Kubernetes, AWS.

Qualifications

• Strong distributed systems background: service discovery, secrets/credential management, and multi-tenant infrastructure on Kubernetes.
• Proficiency with core technologies such as Python, PyTorch, TensorFlow.
• Working familiarity with modern generative and computer vision architectures (Transformers, Diffusion models, GANs, CLIP, VAEs, MLLMs).
• Experience with retrieval-augmented generation (RAG) and agent memory or session-persistence systems.
• Experience with model serving and inference optimization tooling (e.g., NVIDIA Triton, TorchServe, ONNX, CUDA).

Skills

• Experience with retrieval-augmented generation (RAG) and agent memory or session-persistence systems.
• Experience with model serving and inference optimization tooling (e.g., NVIDIA Triton, TorchServe, ONNX, CUDA).

Benefits

At Adobe, we offer competitive compensation, comprehensive benefits, and a supportive work environment. Details on the expected pay range and benefits are provided in the job description.

Pay

The expected pay range for this position is $151,800 -- $265,350 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.

Schedule

Details on the schedule are provided in the job description.