Senior AI Platform Engineer – Agentic Systems

Adobe Inc.

San Jose (CA)

On-site

USD 178,000 - 258,000

Full time

14 days+

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Job summary

Adobe Inc. is seeking an experienced AI/ML backend engineer to build and productionize agentic components for OneAI, Adobe’s unified intelligence layer. You will own end-to-end components from prototype to production, ensuring reliability and governance in fast-moving enterprise environments.

You’ll work with Python, REST APIs, Databricks, and modern AI tooling, focusing on latency, cost, and scalability for multiple teams using vector databases and cloud platforms.

Qualifications

  • Around 3+ years building AI/ML or backend systems, including some experience running LLM-powered services in production.
  • Strong fundamentals in Python and REST APIs.
  • Familiarity with modern AI tooling - LangChain or LlamaIndex, and vector databases.
  • Habit of measuring quality and iterating, not just shipping.
  • Comfort working with cloud platforms (AWS, GCP, or Azure) and containers (Docker, Kubernetes).

Responsibilities

  • Build and productionize reusable agentic components - skills, orchestration workflows, and tool-calling integrations - that plug into OneAI's intelligence layer (Neo4j + pgvector + Databricks + Claude).
  • Take AI models and agents from prototype to production, and keep them healthy once they're live.
  • Improve how agents reason: prompt design, memory and context management, retrieval quality, and multi-step tool use.
  • Tune for latency, reliability, and cost so the platform holds up as more teams rely on it.
  • Partner with product managers and data engineers to shape what we build, and share what you learn with the team.
  • Help raise the bar on evaluation - measure solve rates and accuracy, and use what you find to make the agents better.

Skills

Python
REST APIs
LangChain
LlamaIndex
Vector databases
Cloud platforms
Docker
Kubernetes
Production AI/ML

Tools

Databricks
Claude

Job description

Adobe Inc. is seeking an experienced AI/ML backend engineer to build and productionize agentic components for OneAI, Adobe’s unified intelligence layer. You will own end-to-end components from prototype to production, ensuring reliability and governance in fast-moving enterprise environments.

You’ll work with Python, REST APIs, Databricks, and modern AI tooling, focusing on latency, cost, and scalability for multiple teams using vector databases and cloud platforms.

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