AI Engineer 4

Adobe

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Quick summary

Work type: On-site
Location: San Jose, CA
Salary: $139,000–$257,550 / yr
Employment: Full-time
Posted: 34 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k

This role $198k

$125k $272k

below market most similar roles pay here above market

This role pays less than 61% of similar roles. Most pay $192,050–$211,200 — the blue band above. At the midpoint, this role pays about $198k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 282 open roles on FindRole.

Listed pay typically runs $148,100–$282,100 across 76 roles with salary data.

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At a glance

TL;DR · AI Engineer 4

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As an AI Engineer 4, you will join the team building OneAI, a unified intelligence layer and agentic AI platform. You will design and ship autonomous agents that connect to enterprise data sources like Databricks, Jira, Confluence, Slack, and SharePoint to provide trustworthy, cited answers. Your daily responsibilities include productionizing reusable agentic components, orchestration workflows, and tool-calling integrations while improving agent reasoning through prompt design, memory management, and retrieval quality. You will utilize Python, REST APIs, LangChain, LlamaIndex, and vector databases like Neo4j and pgvector. The role requires managing models using Claude and deploying on cloud platforms like AWS, GCP, or Azure with Docker and Kubernetes. You will solve technical challenges regarding latency, reliability, and cost while measuring solve rates and accuracy.

What does a AI Engineer earn in California?

Median $246150 from 100 postings across 17 companies.

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Skills

Python REST APIs LangChain LlamaIndex Neo4j pgvector Databricks Claude AWS GCP Azure Docker Kubernetes Kafka Flink Kinesis Spark CI/CD

What you'll do

Build and productionize reusable agentic components, orchestration workflows, and tool-calling integrations.
Develop autonomous agents that connect to enterprise data sources like Databricks, Jira, and Slack.
Transition AI models and agents from initial prototype to production environments.
Improve agent reasoning through prompt design, memory management, and retrieval quality.
Tune systems for latency, reliability, and cost efficiency.
Measure solve rates and accuracy to evaluate and improve agent performance.
Maintain the health and stability of live AI systems.

What we're looking for

At least 3 years of experience building AI/ML or backend systems.
Experience running LLM-powered services in production.
Strong fundamentals in Python and REST APIs.
Familiarity with modern AI tooling such as LangChain, LlamaIndex, and vector databases.
Comfort working with cloud platforms (AWS, GCP, or Azure) and containers (Docker, Kubernetes).
Experience with event streaming (Kafka, Flink, or Kinesis) and data pipelines (Spark or Databricks) (preferred).
Exposure to production operations including CI/CD, monitoring, alerting, and incident response (preferred).
Interest in AI governance, safety, or evaluation (preferred).

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