Senior Software Development Engineer-Adobe Express
Adobe · Bucharest, Romania · 10d ago
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.
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