# Agentic AI Engineer

**Company**: Adobe
**Experience**: senior
**Job type**: full-time
**Salary**: $139,000 - $257,550 annually
**Category**: Engineering
**Industry**: Technology

**Apply**: https://adobe.wd5.myworkdayjobs.com/en-US/external_experienced/job/San-Jose/AI-Engineer-4_R170716-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5e052772-5c7

## Description

We're looking for an Agentic AI Engineer to design and ship autonomous agents that connect to enterprise data and turn natural-language questions into trustworthy, cited answers.

You'll build and productionize reusable agentic components, take AI models and agents from prototype to production, and improve how agents reason.

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.

Requirements:

- 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 , frameworks like LangChain or LlamaIndex, and vector databases.

- A habit of measuring quality and iterating, rather than shipping and hoping.

- Comfort working with cloud platforms (AWS, GCP, or Azure) and containers (Docker, Kubernetes).

Nice to have:

- Experience with event streaming (Kafka, Flink, or Kinesis) and data pipelines (Spark or Databricks).

- Exposure to production operations , CI/CD, monitoring, alerting, and incident response.

- Interest in AI governance, safety, or evaluation.

The expected pay range for this position is $139,000 - $257,550 annually.

## Skills

### Required
- Python
- REST APIs
- LangChain
- LlamaIndex
- vector databases
- AWS
- GCP
- Azure
- Docker
- Kubernetes

### Nice to have
- event streaming
- data pipelines
- CI/CD
- monitoring
- alerting
- incident response
- AI governance
- safety
- evaluation

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Source: [Apply at adobe.wd5.myworkdayjobs.com](https://adobe.wd5.myworkdayjobs.com/en-US/external_experienced/job/San-Jose/AI-Engineer-4_R170716-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)