Senior Software Development Engineer-Adobe Express

Description

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.

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 accommodations@adobe.com .

AI Use Guidelines for Interviews:

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 .

Responsibilities

• 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.
• 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 accommodations@adobe.com .
• AI Use Guidelines for Interviews:
• 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 .