AfterQuery tech stack

AfterQuery builds mostly with Python, JavaScript, Node JS, TypeScript. Its stack also includes Anthropic, OpenAI, Next.js, React.js. Anthropic is named in 30 of the 30 job postings AfterQuery published in the last 12 months (100%). Counted by Alion from the job postings of AfterQuery, updated Sep 30, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Sep 30, 2026
Technologies in use
41
Postings analysed
30
Open now
28
Modernity
75 /100
New in 6 months
8

What programming languages does AfterQuery use?

Python is named in 27% of job postings at AfterQuery, followed by JavaScript (13%), Node JS (7%), TypeScript (7%).

Python 8 27% required in 88% · 8 open now · since Nov 2025
JavaScript 4 13% required in 75% · 4 open now · since Nov 2025
Node JS 2 7% required in 100% · 2 open now · since Mar 2026
TypeScript 2 7% required in 100% · 2 open now · since May 2026

What frameworks and libraries does AfterQuery use?

Next.js is named in 10% of job postings at AfterQuery, followed by React.js (10%), JAX (3%), PyTorch (3%).

Next.js 3 10% required in 100% · 3 open now · since Nov 2025
React.js 3 10% optional · 3 open now · since Nov 2025
JAX 1 3% required in 100% · 1 open now · since Aug 2026
PyTorch 1 3% required in 100% · 1 open now · since Aug 2026
Ray 1 3% required in 100% · 1 open now · since Aug 2026

What databases does AfterQuery use?

ElasticSearch is named in 7% of job postings at AfterQuery, followed by Redis (7%).

ElasticSearch 2 7% required in 100% · 2 open now · since Nov 2025
Redis 2 7% required in 100% · 2 open now · since Nov 2025

What cloud and platforms does AfterQuery use?

Anthropic is named in 100% of job postings at AfterQuery, followed by OpenAI (100%), AWS (17%), GCP (17%).

Anthropic 30 100% required in 100% · 28 open now · since Nov 2025
OpenAI 30 100% required in 100% · 28 open now · since Nov 2025
AWS 5 17% required in 80% · 5 open now · since Nov 2025
GCP 5 17% required in 80% · 5 open now · since Nov 2025
Apache Kafka 3 10% required in 100% · 3 open now · since Nov 2025
RabbitMQ 3 10% required in 100% · 3 open now · since Nov 2025
GitHub 1 3% required in 100% · 1 open now · since Aug 2026
Kubernetes 1 3% required in 100% · 1 open now · since Aug 2026

What developer tools does AfterQuery use?

Docker is named in 3% of job postings at AfterQuery, followed by SLURM (3%), Claude Code (3%).

Docker 1 3% required in 100% · 1 open now · since Apr 2026
SLURM 1 3% required in 100% · 1 open now · since Aug 2026
Claude Code 1 3% optional · 1 open now · since Aug 2026

What AI and ML technologies does AfterQuery use?

LLM is named in 20% of job postings at AfterQuery.

LLM 6 20% required in 67% · 6 open now · since Nov 2025

Which engineering practices does AfterQuery ask for?

Machine Learning is named in 17% of job postings at AfterQuery, followed by Post-training (17%), Reinforcement Learning (17%), SFT (13%).

Machine Learning 5 17% required in 100% · 5 open now · since Jul 2026
Post-training 5 17% required in 100% · 5 open now · since Apr 2026
Reinforcement Learning 5 17% required in 80% · 5 open now · since Apr 2026
SFT 4 13% required in 100% · 4 open now · since Apr 2026
Human-in-the-Loop 4 13% required in 75% · 4 open now · since Nov 2025
AI Agents 3 10% required in 100% · 3 open now · since Mar 2026
NLP 2 7% required in 50% · 2 open now · since Jul 2026
RLHF 2 7% required in 50% · 2 open now · since Apr 2026
Show all (18)
Synthetic Data2
Computer Use1
Edge AI1
Fine-tuning1
IAM1
LLM Evaluation1
NER1
Red Teaming1
Tokenization1
Multimodal AI1

What does each AfterQuery team work with?

The technologies each team's postings require most often, with the number of postings that require them.

AI/ML

7 postings
Anthropic7
OpenAI7
LLM2
Python2

Backend

7 postings
Anthropic7
OpenAI7
Python5
AWS4
GCP4
Apache Kafka3

HR

3 postings
Anthropic3
OpenAI3

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How much does AfterQuery pay by technology?

Median stated pay of the postings that name each technology, against the median of all AfterQuery postings with stated pay: $250k across 30 postings.

TechnologyPostings with payMedianvs company median
Anthropic30$250k0%
OpenAI30$250k0%
Python8$258k+3%
LLM6$400k+60%
AWS5$290k+16%
GCP5$290k+16%

How is the AfterQuery stack changing?

Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.

First appeared
Machine LearningJul 2026
NLPJul 2026
TypeScriptMay 2026
Reinforcement LearningApr 2026
RLHFApr 2026
Synthetic DataApr 2026
Post-trainingApr 2026
SFTApr 2026

How modern is the AfterQuery stack?

Cutting-edge AI adopter 75/100

AfterQuery scores 75 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.

How common is the AfterQuery stack in its industry?

Share of the 2,120 companies in the same industries, whose stack Alion knows, that use each technology.

Anthropic10%
OpenAI16%
Python62%
LLM40%
AWS48%
GCP35%
JavaScript50%
Apache Kafka16%
Next.js14%
RabbitMQ7%

Questions about the AfterQuery tech stack

What programming languages does AfterQuery use?

The languages named in AfterQuery job postings are Python (27%), JavaScript (13%), Node JS (7%), TypeScript (7%), as a share of the 30 postings of the last 12 months.

Does AfterQuery use Next.js?

Yes. Next.js is named in 3 of 30 job postings (10%) and required in 3 of them.

What cloud and platforms does AfterQuery use?

The cloud and platforms named in AfterQuery job postings are Anthropic (30), OpenAI (30), AWS (5) (postings in brackets).

What skills do you need for a AI/ML job at AfterQuery?

AI/ML postings at AfterQuery most often require Anthropic (7), OpenAI (7), LLM (2), Python (2), out of 7 postings in the last 12 months.

Is the AfterQuery tech stack changing?

Yes. Machine Learning, NLP, TypeScript, Reinforcement Learning first appeared in AfterQuery job postings in the last six months.

How modern is the AfterQuery tech stack?

AfterQuery scores 75 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.

How does Alion know the AfterQuery tech stack?

Alion reads every job posting AfterQuery publishes and tags the technologies each one names. The figures on this page count the 30 postings of the last 12 months and were updated on Sep 30, 2026.

Method and citation

Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count

Alion, "AfterQuery tech stack: 41 technologies from 30 job postings", as of Sep 30, 2026. https://alion.io/company/afterquery/technologies

Licence: CC BY-SA 4.0JSON