Senior Software Engineer, Agentic Systems

Adobe Inc.; San Jose (CA); On-site; USD 183,000 - 265,000; Full time

Job summary

Adobe Inc. is seeking a Senior Software Engineer (Agentic Systems) to design and deploy AI-driven agent ecosystems within a production platform used across Creative Cloud apps.

You will build agents, orchestration systems, and evaluation infrastructure to translate cutting-edge research models into reliable, production-ready services across Adobe’s stack. You will collaborate with Research, Product, and Platform teams to scale AI capabilities, ensure observability and security, and deliver

Qualifications

• 5+ years building and operating production software systems.
• Hands-on experience with LLM-driven agents or agentic pipelines.
• Strong knowledge of agent architectures: reasoning, retrieval, tool use.
• 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).
• Proficiency with core technologies such as Python, PyTorch, TensorFlow. Docker, Kubernetes, AWS.
• Nice to have: model serving/inference optimization tooling (NVIDIA Triton, TorchServe, ONNX, CUDA).

Responsibilities

• Design, build, and operate an ecosystem of agents to build, optimize, evaluate and deploy research 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 of customer focused, operational excellence

Skills

LLM-driven agents

Agent architectures

Retrieval augmented generation

Distributed systems

Tools

Python

PyTorch

TensorFlow

Docker

Kubernetes

AWS

NVIDIA Triton

TorchServe

ONNX

CUDA

Job description

The Opportunity

Adobe is looking for a Senior 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 Adobe's flagship creative products. In this role, you will design and build the agents, orchestration systems, and evaluation infrastructure that translate cutting-edge research 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 dedicated machine learning, software, ml‑ops and dev‑ops engineers from a diverse set of backgrounds who are encouraged to bring their experience, ideas, and creativity to produce the best possible outcomes. We operate with 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.

What you'll do

• Design, build, and operate an ecosystem of agentst o build, optimize, evaluate and deploy research 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 of customer focused, operational 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 agent architectures - 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 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
• Proficiency with core technologies such as Python, PyTorch, TensorFlow. Docker, Kubernetes, AWS
• Nice to have: Familiarity with model serving and inference optimization tooling (e.g., NVIDIA Triton, TorchServe, ONNX, CUDA) and techniques such as quantization and pruning - useful for collaborating with the team's ML engineers, though not a core requirement for this role

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [e-mail] or call [phone].

AI Use Guidelines for Interviews

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $151,800 -- $265,350 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $183,300 - $265,350

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices

California

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.