채용

Haystack (deepset)

Haystack (deepset)

Haystack (deepset)

Open-source NLP framework

Natural Language Processing

Search Technology

Machine Learning

Information Retrieval

Open Source

Berlin, Germany

51-200

2018년 설립 (8년차)

하이브리드

비상장

총 투자유치

$44M

최근 라운드

Series A

Haystack (deepset) 채용공고

채용공고 0개

현재 채용 중인 채용공고가 없습니다

제품 및 서비스

HA

Haystack Framework

Framework

HA

Haystack

Framework

DO

Document Processing

Data Processing

RA

RAG Pipelines

AI Solution

RE

Retrieval-Augmented Generation (RAG)

AI Pipeline

DO

Document Store

Component

EN

Enterprise Support

Professional Services

DE

deepset Cloud

Cloud Platform

NE

Neural Search

Search Technology

LL

LLM Integration

AI Integration

RE

Retriever Components

Component

AP

API Services

API Platform

VE

Vector Search

Search Technology

RE

Reader Components

Component

QU

Question Answering Systems

AI Pipeline

AN

Annotation Tool

Tool

PI

Pipeline Builder

Tool

Question Answering

Question Answering

AI Solution

Document Search

Document Search

Search Solution

RAG Applications

RAG Applications

AI Solution

최근 소식

All

Reddit

X

News

HN

LinkedIn

YouTube

The 2026 AX Developer Stack: What LangGraph, CrewAI, n8n, and MCP Are Actually Used For

# Introduction In August 2025, Gartner forecast that 40% of enterprise applications would incorporate task-specific AI agents by the end of 2026 — up from less than 5% at the time of the prediction. That is a structural market shift compressed into roughly 18 months. A LangChain survey conducted around the same period, drawing on more than 1,300 respondents, found that 57% of organizations already have AI agents running in production. The question has moved from "should we adopt AI?" to "what

Reddit

·

1개월 전

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1

Mozilla Announces Sovereign AI for Businesses - Thurrott.com

Thurrott.com

News

·

1개월 전

Mozilla challenges enterprise AI providers with Thunderbolt, open-source AI client under your control - Help Net Security

Help Net Security

News

·

1개월 전

Mozilla Launches Thunderbolt Open-Source Enterprise AI Client - Let's Data Science

Let's Data Science

News

·

1개월 전

RAG Hammer (free private AI file search)

**Premise:** * Build a DIY private RAG server using SOTA free, offline AI software **More details:** * [https://www.reddit.com/r/Rag/comments/1shqrwv/comment/ofny2ca/?utm\_source=share&utm\_medium=web3x&utm\_name=web3xcss&utm\_term=1&utm\_content=share\_button](https://www.reddit.com/r/Rag/comments/1shqrwv/comment/ofny2ca/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button) **Requirements:** * Runs fully offline * Continuo

Reddit

·

2개월 전

·

2

·

1

더 보기 (15개 남음)

전체 조회수

0

전체 지원 클릭

0

전체 Mock Apply

0

전체 스크랩

0

리뷰

3.8

10개 리뷰

워라밸

3.8

보상

2.5

문화

3.9

커리어

2.8

경영진

3.2

65%

지인 추천률

장점

Supportive and collaborative team environment

Flexible work arrangements and remote options

Good training and development opportunities

단점

Below industry standard compensation

Limited career advancement opportunities

High workload and demanding pace

연봉 정보

8개 데이터

Mid/L4

Mid/L4

1개 리포트

$94,185

총 연봉

기본급

$72,450

주식

-

$94,185

$94,185

면접 후기

후기 46개

난이도

3.3

/ 5

소요 기간

2-5w

합격률

37%

경험

긍정 66%

보통 21%

부정 13%

면접 과정

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

연락처 및 위치