Senior Software Engineer, Agentic AI

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re 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!

 

About the Role

We are looking for a Backend Engineer with experience in Machine Learning and Agentic AI systems to help design and scale the infrastructure behind intelligent, autonomous applications. You’ll work at the intersection of backend engineering, applied ML, and AI agent orchestration — building the APIs, data pipelines, and runtime frameworks that power next-generation AI-driven workflows.

If you enjoy solving complex distributed systems challenges, experimenting with cutting-edge ML/LLM techniques, and pushing the boundaries of how AI agents interact with humans and software, this role is for you.

Responsibilities

• Architect, implement, and scale backend services that support ML-driven and agentic AI applications.
• Design APIs and microservices that integrate LLMs, vector databases, and knowledge retrieval systems.
• Build infrastructure for AI agents (task planning, tool use, orchestration, state management).
• Ensure backend systems are reliable, performant, and secure at scale.
• Develop monitoring, logging, and observability for agent behaviors and ML pipelines.
• Work closely with product and design teams to translate requirements into scalable backend solutions.
• Stay current with emerging research in LLMs, multi-agent systems, and autonomous AI.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience.
• Strong backend engineering skills with Python
• Experience with cloud platforms (Azure/AWS/GCP) and containerization (Docker, Kubernetes).
• Proficiency in building APIs, distributed systems, and data pipelines.
• Hands-on experience with LLMs, vector databases (Pinecone, Weaviate, FAISS, Milvus), and ML deployment frameworks.
• Understanding of agentic AI concepts (tool calling, memory, planning, reasoning).
• Familiarity with ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex.
• Solid knowledge of databases (SQL and NoSQL) and event-driven architectures.

Nice to Have

• Familiarity with LangGraph, AutoGen, or other agentic frameworks.
• Contributions to open-source ML or AI infrastructure projects.
• Exposure to MLOps tooling (MLflow, Weights & Biases, Ray, Prefect, Airflow).
• Background in security for AI systems (guardrails, prompt injection defense, data privacy).
• Experience with reinforcement learning, multi-agent systems, or fine-tuning LLMs.

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 position is $153,600 -- $286,600 annually. Pay within this range varies by work location and 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.

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 pa