Senior Software Development Engineer-Adobe Express

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