Job Description
What You’ll Do
- Define and evolve agentic architectures for real-world, production workflows
- Develop and expand sub-agents within the Adobe Express AI Assistant ecosystem
- Define success metrics, guardrails, and acceptance criteria for AI systems
- Take ideas from prototype to production; iterate quickly and harden for scale
- Balance quick testing with developing scalable, reliable systems
- Own key business metrics (quality, adoption, latency, cost), not just feature delivery
- Continuously improve agents by analyzing production data to uncover patterns, establishing evaluation pipelines, refining test sets, and running A/B experiments
- Identify drift, degradation, and failure modes; drive fixes and improvements
What You Need to Succeed
- Strong hands-on experience with LLM APIs (OpenAI, Anthropic, etc.), including tool calling and structured outputs
- Solid prompt engineering skills, including advanced prompting and optimization techniques
- Experience crafting agent memory, context handling, and state management
- Practical experience with RAG pipelines, embeddings, and vector databases
- Ability to use AI coding assistants (Claude Code, Cursor, Codex, etc.) as true copilots to build and ship features end-to-end
- Experience building and deploying conversational agents or AI workflows in production
- Familiarity with AWS or Azure and deploying scalable services
- Ability to evaluate and optimize systems across quality, latency, and cost
Required Technical Skills
- 5+ years of software engineering experience with strong systems thinking
- Proficiency in Python, TypeScript, or similar
- Strong understanding of APIs, backend systems, and distributed architectures
- Experience with observability (logging, metrics, tracing) to debug and monitor production systems
- Experience evaluating performance trade-offs (latency, cost, reliability)
- Solid foundation in algorithms, data structures, and software building principles
- Excellent problem-solving abilities and attention to detail
Preferred / Ideal Profile
- Experience with multi-agent systems or orchestration frameworks (LangGraph, CrewAI, AutoGen, etc.)
- Experience decomposing workflows across agents and managing agent-to-agent communication
- Experience crafting eval systems, measuring agent quality, and catching regressions
- Familiarity with synthetic data generation and evaluation datasets
- Has built and shipped an AI system end-to-end
- Comfortable making architecture decisions with incomplete information
- Has debugged LLM issues in production (latency, cost, failures, scaling limits)
- Balances fast delivery with developing scalable, stable systems
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.
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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.