refresh

지금 많이 보는 기업

지금 많이 보는 기업

Adobe
Adobe

Creativity for all

Senior Agentic AI Engineer

직무머신러닝
경력시니어급
위치Yerevan, Armenia
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

Python

Java

JavaScript

AWS

Docker

Kubernetes

GCP

Azure

Kafka

Airflow

The Opportunity

Adobe is one of the world’s most innovative software companies, empowering billions of people to create and deliver exceptional digital experiences. Our products help creators, businesses, and organizations collaborate, grow, and build remarkable customer journeys.

In 2026, we’re focused on building AI‑native platforms—where agents, large language models, recommendation engines, and humans work together in real time at global scale.

Join our engineering team developing next‑generation Agentic AI and recommendation systems that redefine how customers discover, engage with, and personalize experiences across Adobe products!

What you'll do

  • Contribute to building AI-native systems where agents, LLMs, and recommendation engines collaborate to deliver personalized digital experiences on a global scale.
  • Design and implement agentic AI systems that combine LLM reasoning, tools, structured data, and multi-agent orchestration (A2A, MCP) to deliver adaptive customer experiences.
  • Create and contribute to engineering designs and architectures that address real product and platform challenges at the Adobe scale.
  • Prototype rapidly, run Po Cs, experiment with emerging AI capabilities, and iterate based on measurable impact.
  • Implement evaluation, monitoring, and Responsible AI guardrails to ensure reliability, fairness, and production readiness.

What you need to succeed

  • 7+ years of experience building and operating scalable distributed systems in production environments.
  • Bachelor's degree in computer science or related field (or equivalent practical experience).
  • Strong proficiency in Python and experience building high-availability services.
  • Solid foundation in distributed systems, scalable architectures, and data modeling.
  • Experience with LLM APIs (OpenAI, Anthropic, LiteLLM), including streaming, tool calling, and structured outputs.
  • Experience with multi-agent orchestration frameworks (Lang Graph, CrewAI, Agno, or similar) and protocols such as A2A and MCP.
  • Experience with RAG architectures, vector databases, and semantic retrieval systems.
  • Experience with cloud-native infrastructure (Docker, Kubernetes, AWS/GCP/Azure).
  • Experience with distributed data platforms (Kafka, Airflow, Snowflake, Single Store, or similar).
  • Understanding evaluation of metrics (NDCG, MAP, precision/recall) and online A/B testing frameworks.
  • Strong understanding of ranking strategies, experimentation methodologies, and relevance optimization.
  • Knowledge of JavaScript or Java is a plus.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and Gen Studio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let’s Adobe together:

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

전체 조회수

0

전체 지원 클릭

0

전체 Mock Apply

0

전체 스크랩

0

Adobe 소개

Adobe

Adobe

Public

Adobe Inc., formerly Adobe Systems Incorporated, is an American multinational computer software company based in San Jose, California.

10,001+

직원 수

San Jose

본사 위치

$126B

기업 가치

리뷰

10개 리뷰

4.4

10개 리뷰

워라밸

3.2

보상

3.8

문화

4.6

커리어

3.4

경영진

4.1

78%

지인 추천률

장점

Great company culture and team environment

Innovative projects and creative freedom

Good benefits and compensation

단점

High pressure and stress from expectations

Work-life balance challenges

Fast-paced and overwhelming environment

연봉 정보

751개 데이터

Junior/L3

L2

L6

Mid/L4

Senior/L5

Staff/L6

L3

L4

L5

Junior/L3 · Data Scientist L2

0개 리포트

$175,386

총 연봉

기본급

-

주식

-

보너스

-

$149,078

$201,694

면접 후기

후기 3개

난이도

3.0

/ 5

면접 과정

1

Application Review

2

Online Assessment

3

Technical Interview

4

Behavioral Interview

5

Final Decision

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience