Applied AI Engineer

Adobe

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$148,500–$214,950 / yr
Posted
36 days ago
Freshness
Confirmed live yesterday
Closes
Nov 30, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $191k
This role $182k
$120k most similar roles pay here $248k

This role pays more than 53% of similar roles. Most pay $146,450–$235,187 — the shaded band above. At the midpoint, this role pays about $182k versus about $191k 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 218 open roles on FindRole.

Listed pay typically runs $187,100–$270,950 across 216 roles with salary data.

Most-posted roles

View all roles at Adobe

At a glance

TL;DR · Applied AI Engineer

Role Posting Log in to save

As an Applied AI Engineer, you will join the team to develop, build, and maintain intelligent agents that drive automation and business impact across the enterprise. You will manage the full lifecycle of agent development, including design, versioning, orchestration, and continuous learning while building scalable Agentic AI platforms to enhance engineering efficiency. Your daily work involves creating reusable templates, productionizing models from prototypes, and developing autonomous agents for tasks like code generation and tool calling. To succeed, you must possess experience in AI/ML engineering, backend development, and LLM APIs. You will utilize tools such as LangChain, LlamaIndex, and vector databases while leveraging Python, REST, Kafka, Flink, Kinesis, Spark, Databricks, Kubernetes, Docker, and cloud platforms like AWS, GCP, or Azure to optimize model performance, reduce latency, and manage complex data pipelines.

Skills

Python LangChain LlamaIndex Vector Databases LLM APIs REST APIs Kafka Flink Kinesis Spark Databricks Kubernetes Docker CI/CD AWS GCP Azure Prompt Engineering

What you'll do

  • Develop, build, and maintain intelligent agents to drive automation and business impact across the enterprise.
  • Create reusable agent templates and modular components to accelerate deployment across different business units.
  • Productionize AI models by transitioning them from initial prototypes to production-ready systems.
  • Develop autonomous agents and specific skills for tasks such as code generation and tool calling.
  • Optimize model performance, reduce latency, and improve reliability in production environments.
  • Implement prompt engineering strategies, memory handling, resource management, and tool-calling integrations.
  • Measure and improve model solve rates and accuracy to ensure high-quality outputs.

What we're looking for

  • 3–5+ years of experience in AI/ML engineering and backend development.
  • Prior exposure to LLM APIs or AI-powered services in production environments.
  • Experience with AI tools such as LangChain, LlamaIndex, or vector databases.
  • Ability to measure and improve model solve rates and accuracy.
  • Strong engineering fundamentals including Python and REST.
  • Experience with event streaming (Kafka, Flink, Kinesis) and data pipelines (Spark, Databricks).
  • Familiarity with production operations including Kubernetes, CI/CD, monitoring, alerting, and incident response.
  • Familiarity with cloud platforms (AWS/GCP/Azure), Python, and containerization (Docker, K8s).

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