YAL
AI Agents · Speech & Audio AI

YAL tech stack

YAL builds mostly with Python, SQL, Java, Go. Its stack also includes Kubernetes, Azure, Redis, PyTorch. Python is named in 10 of the 13 job postings YAL published in the last 12 months (77%). Counted by Alion from the job postings of YAL, updated Nov 11, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Nov 11, 2026
Technologies in use
170
Postings analysed
13
Open now
5
Modernity
80 /100
New in 6 months
8

What programming languages does YAL use?

Python is named in 77% of job postings at YAL, followed by SQL (31%), Java (23%), Go (23%).

Python 10 77% required in 90% · 5 open now · since Jun 2026
SQL 4 31% required in 100% · 3 open now · since Jul 2026
Java 3 23% required in 67% · 1 open now · since Jun 2026
Go 3 23% required in 33% · 2 open now · since Jun 2026
Swift 2 15% required in 100% · since Aug 2026
C++ 2 15% required in 50% · 2 open now · since Sep 2026
JavaScript 1 8% required in 100% · since Jun 2026
Kotlin 1 8% required in 100% · since Aug 2026
Show all (9)
Node JS1

What frameworks and libraries does YAL use?

PyTorch is named in 31% of job postings at YAL, followed by LangChain (31%), Triton (23%), LangGraph (23%).

PyTorch 4 31% required in 75% · 2 open now · since Jun 2026
LangChain 4 31% optional · 4 open now · since Sep 2026
Triton 3 23% required in 67% · 3 open now · since Sep 2026
LangGraph 3 23% optional · 3 open now · since Oct 2026
Asyncio 2 15% required in 100% · 2 open now · since Oct 2026
FastAPI 2 15% required in 100% · 2 open now · since Oct 2026
JAX 2 15% required in 100% · since Jun 2026
SwiftUI 2 15% required in 100% · since Aug 2026
Show all (41)
TensorFlow2
Transformers2
OpenTelemetry2
OpenAI Agents SDK2
Apache TVM1
Combine1
Dagger1
DataStore1
Espresso1
Flink1
Hilt1
JUnit1
Jetpack Compose1
Koin1
MockK1
Room1
SGLang1
TensorRT-LLM1
UIKit1
ViewModel1
WorkManager1
XCTest1
XCUITest1
AVFoundation1
AVKit1
CUDA1
CameraX1
Core Animation1
Exoplayer1
FAISS1
LlamaIndex1
Media31

And 1 more, each named in fewer postings.

What databases does YAL use?

Redis is named in 31% of job postings at YAL, followed by PostgreSQL (23%), ClickHouse (8%), Core Data (8%).

Redis 4 31% optional · 3 open now · since Jun 2026
PostgreSQL 3 23% required in 67% · 1 open now · since Jun 2026
ClickHouse 1 8% required in 100% · 1 open now · since Sep 2026
Core Data 1 8% required in 100% · since Aug 2026
ElasticSearch 1 8% optional · since Aug 2026
Milvus 1 8% optional · since Aug 2026
Neo4j 1 8% optional · since Jun 2026
OpenSearch 1 8% optional · since Aug 2026
Show all (10)
Pinecone1
Weaviate1

What cloud and platforms does YAL use?

Kubernetes is named in 46% of job postings at YAL, followed by Azure (38%), Apache Kafka (38%), AWS (23%).

Kubernetes 6 46% required in 67% · 3 open now · since Jun 2026
Azure 5 38% required in 60% · 2 open now · since Jun 2026
Apache Kafka 5 38% required in 40% · 4 open now · since Jul 2026
AWS 3 23% required in 100% · since Jun 2026
GCP 3 23% required in 100% · since Jun 2026
Twilio 3 23% required in 100% · 3 open now · since Sep 2026
GitHub 3 23% required in 67% · since Jun 2026
Hugging Face 3 23% required in 67% · 2 open now · since Aug 2026
Show all (28)
vLLM3
LiveKit3
Figma2
Firebase2
GitHub Actions2
Grafana2
MLFlow2
Deepgram2
ElevenLabs2
RabbitMQ2
Android SDK1
Datadog1
GitLab1
GitLab CI1
Linux1
Spark1
iOS SDK1
Kubeflow1
Redpanda1
Weights & Biases1

What developer tools does YAL use?

Docker is named in 54% of job postings at YAL, followed by WebSockets (46%), Git (38%), WebRTC (38%).

Docker 7 54% required in 71% · 3 open now · since Jun 2026
WebSockets 6 46% required in 100% · 4 open now · since Aug 2026
Git 5 38% required in 100% · 2 open now · since Aug 2026
WebRTC 5 38% required in 100% · 4 open now · since Aug 2026
Rest API 3 23% required in 100% · since Aug 2026
Prometheus 3 23% required in 67% · 2 open now · since Jun 2026
TensorRT 2 15% required in 100% · 2 open now · since Sep 2026
Locust 2 15% optional · 2 open now · since Oct 2026
Show all (25)
Model Context Protocol2
k62
Backstage1
Bitrise1
CocoaPods1
Gradle1
Helm1
Jenkins1
Pulumi1
Swift Testing1
Terraform1
TestFlight1
Triton Inference Server1
dbt1
gRPC1
Envoy1
Kong1

What AI and ML technologies does YAL use?

LLM is named in 31% of job postings at YAL, followed by PEFT (15%), Whisper (15%), Core ML (8%).

LLM 4 31% required in 100% · 4 open now · since Sep 2026
PEFT 2 15% required in 50% · 1 open now · since Jun 2026
Whisper 2 15% optional · 2 open now · since Oct 2026
Core ML 1 8% required in 100% · since Aug 2026
LoRA 1 8% required in 100% · 1 open now · since Oct 2026
Gemma 1 8% optional · since Aug 2026
Llama 1 8% optional · since Aug 2026
Qwen 1 8% optional · since Aug 2026

Which engineering practices does YAL ask for?

AI Agents is named in 46% of job postings at YAL, followed by CI/CD (46%), Speech Recognition (46%), RAG (38%).

AI Agents 6 46% required in 100% · 3 open now · since Jun 2026
CI/CD 6 46% required in 100% · 1 open now · since Jun 2026
Speech Recognition 6 46% required in 67% · 4 open now · since Aug 2026
RAG 5 38% required in 100% · 2 open now · since Jun 2026
Function Calling 5 38% required in 80% · 2 open now · since Jun 2026
Text-to-Speech 5 38% required in 80% · 3 open now · since Aug 2026
Multimodal AI 5 38% required in 60% · 3 open now · since Jun 2026
Voice Agents 4 31% required in 100% · 4 open now · since Sep 2026
Show all (46)
Hallucination3
LLM Guardrails3
Machine Learning3
Clean Architecture2
Dependency Injection2
KV Cache2
MVVM2
NLP2
Offline-First2
Human-in-the-Loop2
A/B Testing1
Agentic Workflows1
DPO1
ETL/ELT1
Embeddings1
Fine-tuning1
GRPO1
GitOps1
IAM1
Incident Management1
Knowledge Graph1
MVI1
Material Design1
Mixture of Experts1
Prompt Engineering1
Quantization1
RLHF1
Recommender Systems1
Reinforcement Learning1
SLI/SLO/SLA1
Self-Supervised Learning1
Semantic Search1

And 6 more, each named in fewer postings.

What other technologies does YAL use?

Kotlin Coroutines is named in 8% of job postings at YAL, followed by StateFlow (8%), Swift Concurrency (8%).

Kotlin Coroutines 1 8% required in 100% · since Aug 2026
StateFlow 1 8% required in 100% · since Aug 2026
Swift Concurrency 1 8% required in 100% · since Aug 2026

What does each YAL team work with?

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

AI/ML

7 postings
Python6
LLM4
WebRTC4
WebSockets4
Docker3
Git3

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How is the YAL 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
LangGraphOct 2026
LiveKitOct 2026
AsyncioOct 2026
FastAPIOct 2026
DeepgramOct 2026
ElevenLabsOct 2026
LocustOct 2026
Model Context ProtocolOct 2026

How modern is the YAL stack?

Cutting-edge AI adopter 80/100

YAL scores 80 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: 8; legacy ones: 0.

How common is the YAL stack in its industry?

Share of the 1,798 companies in the same industries, whose stack Alion knows, that use each technology.

Python68%
Kubernetes39%
Apache Kafka15%
Azure35%
LLM52%
LangChain17%
PyTorch17%
Redis15%
SQL44%
AWS51%

What sets YAL apart

LiveKit2%
Triton4%
Twilio4%

Questions about the YAL tech stack

What programming languages does YAL use?

The languages named in YAL job postings are Python (77%), SQL (31%), Java (23%), Go (23%), Swift (15%), as a share of the 13 postings of the last 12 months.

Does YAL use PyTorch?

Yes. PyTorch is named in 4 of 13 job postings (31%) and required in 3 of them.

What cloud and platforms does YAL use?

The cloud and platforms named in YAL job postings are Kubernetes (6), Azure (5), Apache Kafka (5) (postings in brackets).

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

AI/ML postings at YAL most often require Python (6), LLM (4), WebRTC (4), WebSockets (4), out of 7 postings in the last 12 months.

Is the YAL tech stack changing?

Yes. LangGraph, LiveKit, Asyncio, FastAPI first appeared in YAL job postings in the last six months.

How modern is the YAL tech stack?

YAL scores 80 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: 8; legacy ones: 0.

How does Alion know the YAL tech stack?

Alion reads every job posting YAL publishes and tags the technologies each one names. The figures on this page count the 13 postings of the last 12 months and were updated on Nov 11, 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, "YAL tech stack: 170 technologies from 13 job postings", as of Nov 11, 2026. https://alion.io/company/yal/technologies

Licence: CC BY-SA 4.0JSON