NobleEdge Talent Advisory tech stack

NobleEdge Talent Advisory builds mostly with Python, TypeScript, JavaScript, Java. Its stack also includes AWS, FastAPI, LangChain, TGI. Python is named in 10 of the 10 job postings NobleEdge Talent Advisory published in the last 12 months (100%). Counted by Alion from the job postings of NobleEdge Talent Advisory, updated Oct 15, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 15, 2026
Technologies in use
63
Postings analysed
10
Open now
8
Modernity
88 /100

What programming languages does NobleEdge Talent Advisory use?

Python is named in 100% of job postings at NobleEdge Talent Advisory, followed by TypeScript (30%), JavaScript (30%), Java (10%).

Python 10 100% required in 90% · 8 open now · since Jul 2026
TypeScript 3 30% required in 33% · 3 open now · since Sep 2026
JavaScript 3 30% optional · 3 open now · since Sep 2026
Java 1 10% required in 100% · 1 open now · since Sep 2026
Perl 1 10% required in 100% · since Jul 2026
SQL 1 10% required in 100% · 1 open now · since Sep 2026
SystemVerilog 1 10% required in 100% · since Jul 2026

What frameworks and libraries does NobleEdge Talent Advisory use?

FastAPI is named in 40% of job postings at NobleEdge Talent Advisory, followed by LangChain (40%), LangGraph (40%), Django (30%).

FastAPI 4 40% required in 100% · 4 open now · since Sep 2026
LangChain 4 40% required in 25% · 4 open now · since Sep 2026
LangGraph 4 40% required in 25% · 4 open now · since Sep 2026
Django 3 30% required in 100% · 3 open now · since Sep 2026
Angular 2 20% optional · 2 open now · since Sep 2026
Pandas 1 10% required in 100% · 1 open now · since Sep 2026
PyTorch 1 10% required in 100% · 1 open now · since Sep 2026
React.js 1 10% required in 100% · 1 open now · since Sep 2026
Show all (14)
Scikit-learn1
TensorFlow1
Transformers1
UVM1
AutoGen1
CrewAI1

What cloud and platforms does NobleEdge Talent Advisory use?

AWS is named in 50% of job postings at NobleEdge Talent Advisory, followed by TGI (30%), vLLM (30%), Kubeflow (30%).

AWS 5 50% required in 60% · 5 open now · since Sep 2026
TGI 3 30% required in 100% · 3 open now · since Sep 2026
vLLM 3 30% required in 100% · 3 open now · since Sep 2026
Kubeflow 3 30% required in 67% · 3 open now · since Sep 2026
MLFlow 3 30% required in 67% · 3 open now · since Sep 2026
Azure 3 30% optional · 3 open now · since Sep 2026
Langfuse 3 30% optional · 3 open now · since Sep 2026
Hetzner 2 20% required in 100% · 2 open now · since Sep 2026
Show all (13)
GCP2
Kubernetes2
Airflow1
Microsoft Entra ID1
Azure AKS1

What developer tools does NobleEdge Talent Advisory use?

Docker is named in 40% of job postings at NobleEdge Talent Advisory, followed by Git (30%), Jenkins (30%), Terraform (30%).

Docker 4 40% required in 75% · 4 open now · since Sep 2026
Git 3 30% required in 100% · 3 open now · since Sep 2026
Jenkins 3 30% required in 100% · 3 open now · since Sep 2026
Terraform 3 30% required in 100% · 3 open now · since Sep 2026
Model Context Protocol 3 30% required in 67% · 3 open now · since Sep 2026
Rest API 1 10% required in 100% · 1 open now · since Sep 2026
WebSockets 1 10% required in 100% · 1 open now · since Sep 2026
Semantic Kernel 1 10% optional · 1 open now · since Sep 2026

What AI and ML technologies does NobleEdge Talent Advisory use?

LLM is named in 70% of job postings at NobleEdge Talent Advisory, followed by LoRA (30%), QLoRA (30%), PEFT (30%).

LLM 7 70% required in 86% · 7 open now · since Sep 2026
LoRA 3 30% required in 100% · 3 open now · since Sep 2026
QLoRA 3 30% required in 100% · 3 open now · since Sep 2026
PEFT 3 30% optional · 3 open now · since Sep 2026

Which engineering practices does NobleEdge Talent Advisory ask for?

Machine Learning is named in 50% of job postings at NobleEdge Talent Advisory, followed by AI Agents (40%), CI/CD (40%), Embeddings (30%).

Machine Learning 5 50% required in 80% · 5 open now · since Sep 2026
AI Agents 4 40% required in 100% · 4 open now · since Sep 2026
CI/CD 4 40% required in 75% · 4 open now · since Sep 2026
Embeddings 3 30% required in 100% · 3 open now · since Sep 2026
Fine-tuning 3 30% required in 100% · 3 open now · since Sep 2026
LLMOps 3 30% required in 100% · 3 open now · since Sep 2026
RAG 3 30% required in 100% · 3 open now · since Sep 2026
NLP 3 30% required in 67% · 3 open now · since Sep 2026
Show all (17)
Platform Engineering2
Tool Use2
Multimodal AI2
Computer Vision1
Function Calling1
Hallucination1
Structured Outputs1
Transfer Learning1
Reranking1

What does each NobleEdge Talent Advisory team work with?

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

AI/ML

4 postings
FastAPI4
LLM4
Python4
AWS3
Django3
Docker3

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How modern is the NobleEdge Talent Advisory stack?

Cutting-edge AI adopter 88/100

NobleEdge Talent Advisory scores 88 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: 4; legacy ones: 0.

How common is the NobleEdge Talent Advisory stack in its industry?

Share of the 3,283 companies in the same industries, whose stack Alion knows, that use each technology.

Python46%
LLM23%
AWS36%
FastAPI11%
LangChain12%
LangGraph9%
Azure36%
Django8%
JavaScript40%
Kubeflow3%

What sets NobleEdge Talent Advisory apart

Kubeflow3%
Langfuse2%
LoRA2%
PEFT2%
QLoRA1%
TGI1%
vLLM2%

Questions about the NobleEdge Talent Advisory tech stack

What programming languages does NobleEdge Talent Advisory use?

The languages named in NobleEdge Talent Advisory job postings are Python (100%), TypeScript (30%), JavaScript (30%), Java (10%), Perl (10%), as a share of the 10 postings of the last 12 months.

Does NobleEdge Talent Advisory use FastAPI?

Yes. FastAPI is named in 4 of 10 job postings (40%) and required in 4 of them.

What cloud and platforms does NobleEdge Talent Advisory use?

The cloud and platforms named in NobleEdge Talent Advisory job postings are AWS (5), TGI (3), vLLM (3) (postings in brackets).

What skills do you need for a AI/ML job at NobleEdge Talent Advisory?

AI/ML postings at NobleEdge Talent Advisory most often require FastAPI (4), LLM (4), Python (4), AWS (3), out of 4 postings in the last 12 months.

Is the NobleEdge Talent Advisory tech stack changing?

No new technology has appeared in NobleEdge Talent Advisory job postings in the last six months.

How modern is the NobleEdge Talent Advisory tech stack?

NobleEdge Talent Advisory scores 88 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: 4; legacy ones: 0.

How does Alion know the NobleEdge Talent Advisory tech stack?

Alion reads every job posting NobleEdge Talent Advisory publishes and tags the technologies each one names. The figures on this page count the 10 postings of the last 12 months and were updated on Oct 15, 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, "NobleEdge Talent Advisory tech stack: 63 technologies from 10 job postings", as of Oct 15, 2026. https://alion.io/company/nobleedge-talent-advisory/technologies

Licence: CC BY-SA 4.0JSON