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Currently tracking 16 active AI roles, up 55% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $192k–$593k (avg $307k).

Hiring
16 / 46
Momentum (4w)
↑+57 +55%
160 opens last 4w · 103 prior 4w
Salary range · avg $307k
$192k–$593k
USD · disclosed roles only
Tracked since
Jan 19
last role 5d ago
Hiring velocityscroll left for older weeks
1 new role
Jun 3
3 new roles
Mar 31
1 new role
May 19
1 new role
Jun 2
1 new role
9
1 new role
Jul 14
1 new role
Oct 20
1 new role
27
2 new roles
Nov 10
1 new role
17
3 new roles
Dec 1
1 new role
8
2 new roles
15
1 new role
29
3 new roles
Jan 5
1 new role
12
2 new roles
19
5 new roles
26
2 new roles
Feb 2
5 new roles
9
8 new roles
16
5 new roles
23
4 new roles
Mar 2
10 new roles
9
22 new roles
16
7 new roles
23
17 new roles
30
18 new roles
Apr 6
22 new roles
13
15 new roles
20
16 new roles
27
22 new roles
May 4
8 new roles
11
15 new roles
18
17 new roles
25
8 new roles
Jun 1
50 new roles
8
21 new roles
15
27 new roles
22
27 new roles
29
28 new roles
Jul 6
37 new roles
13
43 new roles
20
46 new roles
27
34 new roles
Aug 3

Elastic has 28 active AI-related job listings, with a significant focus on roles related to agents, which constitute 86% of their openings. The majority of these positions are within Engineering. The company is hiring across the United States, United Kingdom, and Canada. Recurring technical tags include vector_db, RAG, and model_serving, suggesting a focus on building and deploying AI applications that leverage external knowledge.

Auto-generated from active job postings · last refreshed 2026-08-02

Frequently asked questions

  • What AI roles is Elastic hiring for?

    Elastic currently has 30 active AI-related roles in our index. The most common open titles are: Senior Software Engineer - Search Relevance in ES|QL - Elasticsearch (6), Principal Software Engineer - Vector Search - Elasticsearch (5), Senior Software Engineer - SSC (4), Principal AI Ecosystem Architect - OpenAI/Anthropic (2), Principal Product Manager Agents and Context - Elasticsearch (2). Most positions are in Engineering and Research.

  • What stage of AI development does Elastic focus on?

    Elastic's active AI hiring is concentrated in: agents (87%), application (10%), serving infrastructure (3%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Elastic hiring AI talent?

    Elastic is hiring AI talent in: United States (16 roles), United Kingdom (7 roles), Spain (4 roles), Canada (3 roles).

  • What skills does Elastic look for in AI roles?

    Job postings at Elastic most frequently mention: Observability, Data Governance, Content Generation, Cloud Security, Cloud Infrastructure.

  • How many AI roles has Elastic posted recently?

    In the past 30 days, Elastic has posted 23 new AI-related roles. That is a +44% change versus the prior 30 days (16 → 23).

Jobs (7)

15 AI · 221 total active
FilteredFunctionEngineering×CountryUnited Kingdom×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllData · 1Serve · 3Agent · 40Ship · 2
Function
AllEngineering · 34Product · 10Research · 2
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AllUnited States · 22United Kingdom · 9Netherlands · 6Spain · 4Canada · 3Denmark · 1India · 1Israel · 1
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TitleStageFunctionLocationFirst seenAI score
Principal Software Engineer - Vector Search - Elasticsearch
Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on designing and implementing new features, improving existing ones, and resolving bugs. The role involves leading initiatives for an industry-leading vector database offering, contributing to core Elasticsearch development, and acting as an expert in vector similarity implementation.
AgentServeEngineeringUnited Kingdom7w ago7
Principal Software Engineer - Vector Search - Elasticsearch
Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on design, implementation, and bug resolution for a leading vector database offering.
AgentServe
Engineering
United Kingdom
7w ago
7
Principal Software Engineer - Vector Search - Elasticsearch
Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on building new features, improving existing ones, and resolving bugs for an industry-leading vector database offering. The role involves deep technical contributions to Lucene and Elasticsearch, potentially inventing new algorithms or data structures, and collaborating with a global team and the open-source community.
AgentServeEngineeringUnited Kingdom7w ago7
Principal Software Engineer - Vector Search - Elasticsearch
Principal Software Engineer role focused on enhancing vector similarity search functionality within Elasticsearch, aiming to create an industry-leading vector database offering. This involves designing and implementing new features, improving existing ones, and resolving bugs, with a strong emphasis on performance and relevance.
AgentServeEngineeringUnited KingdomMay 77
Principal Software Engineer - Vector Search - Elasticsearch
Principal Software Engineer to enhance vector similarity search functionality within Elasticsearch, focusing on design, implementation, and bug resolution for a leading vector database offering.
AgentServeEngineeringUnited KingdomMay 77
Principal Java Engineer II - Machine Learning - Elasticsearch
Principal Software Engineer II to join the Elasticsearch - Machine Learning team, focusing on building and maintaining ML platform components and optimizing model performance within the Elastic Search AI Platform. This role involves core Java development for ML support in Elasticsearch and C++ for performance optimizations, integrating advanced analytics and ML into the distributed Elastic platform.
ServeEngineeringUnited KingdomMar 197
Principal Java Engineer II - Machine Learning - Elasticsearch
Principal Software Engineer II to join the Elasticsearch - Machine Learning team to build and maintain platform components for machine learning in Elasticsearch. This involves maintaining and extending ML support in Java and working on model performance optimizations in C++. The role focuses on building the infrastructure that integrates advanced analytics and ML components into the distributed Elastic platform.
ServeEngineeringUnited KingdomFeb 17