Senior Software Engineer, Feedback & Learning Systems — Meta Factory

The Opportunity

Adobe Unified Platform is building the system that changes how software gets made at Adobe. A platform that understands builders’ intent, breaks down complex work, executes it through autonomous agents, and improves with every cycle. What this team ships multiplies across thousands of Adobe engineers, and it's the substrate the rest of Adobe's agentic efforts build on.

Meta Factory is the core of that platform: the Agentic Builders Experience that defines how agents understand their goals, decompose work, use tools, evaluate their own outcomes, and improve over time. Think of it as our own version of Claude Code, optimized for Adobe needs, model independent and operated for the whole company.

We are looking for a Senior Software Engineer with strong hands-on expertise in agent execution, tool calling, context and state management, and sandboxed runtime systems to build and own key components of Meta Factory's Agent Harness.

What you’ll do

• Build Meta Factory’s agent learning and feedback systems, including how agents evaluate outputs and improve over time.
• Build feedback pipelines that capture agent outcomes, identify quality signals, and turn those signals into system improvements.
• Apply AI-first techniques such as preference learning, reward modeling, reinforcement learning, and evaluation-driven improvement to raise agent quality re`lease over release.
• Define how the learning layer connects with the Agent Harness, evaluation infrastructure, skills layer, and execution loop.
• Write clear development docs, review code, and mentor engineers inventing AI systems that learn from user input.

What you’ll need to succeed

• 10+ years of software engineering experience, including delivery of complex AI, ML, or data-intensive systems.
• Hands-on experience with LLM and agentic systems, including tool use, context management, output evaluation, and feedback-driven improvement techniques such as RLHF, preference learning, or reward modeling.
• Ability to make progress in ambiguous technical areas and turn broad goals into working systems.
• Experience applying AI techniques to real products or platforms with measurable impact.
• Proficiency in Python and at least one other programming language.
• Experience with cloud platforms such as AWS or Azure, data pipeline tools, and ML experimentation infrastructure.
• Interest in mentoring engineers and helping teams build expertise in learning systems and feedback infrastructure.

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, d