Actively hiring
STEM Education
Machine Learning
Simulation & Digital Twin Software
AI for Science
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Hiring now
10
+3 posted in 30 days
Momentum
12/100
hiring for its size
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
2022
Founded
Tractionpublic signals, read monthly
Web presence
top 20%
of 133.2M domains by links, Common Crawl
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Overview
ZenteiQ is a deep technology company headquartered in Bengaluru, India, and founded in 2022 out of research at the Indian Institute of Science. The company works on scientific machine learning, combining numerical simulation with neural networks for engineering and industrial modelling problems, and builds training programmes around those methods. It sells to industrial and research customers in India while running education initiatives that push scientific computing skills into the wider engineering workforce.
News
Prof.ai to founder.ai
When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies. He later founded ZenteiQ.ai to develop scientific found
Read more
Report
Zeinteiq.ai gets 75 cr from IndiaAI Mission to build physics-aware AI for engineering R&D
Zeinteiq.ai, led by Prof. Ganesan, develops AI for engineering simulations, backed by 75 cr under IndiaAI Mission. Focus on thermal analysis & industrial R&D.
Read more
Report
Tech stack
Technologies named in job postings at ZenteiQ over the last 12 months, by layer, with the share of postings for each.
Technologies in use
130
Postings analysed
18
Stack modernity
72/100AI adopter
Languages
Python72%
JavaScript22%
C++22%
SQL17%
Frameworks & libraries
PyTorch33%
Ray33%
FastAPI28%
React.js22%
Databases
Redis28%
PostgreSQL22%
Firestore11%
Cloud & platforms
Kubernetes44%
GCP39%
Google GKE28%
Apache Kafka22%
AI & ML
LLM44%
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Full ZenteiQ tech stack
130 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
63/100
Growing
Open positions
10
2 opened / 2 closed in 30 days
Median time-to-fill
60 days
faster than 23% of the market
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
56% ▼
Mobile
13% ▼
Data Science
6% ▲
Backend
6% ▲
Leadership
6% ▼
Product
6% ▲
Activity Timeline
Added RLAIF to stack
Oct 2026
Added Reward Modeling to stack
Oct 2026
Added Reinforcement Learning to stack
Oct 2026
Added PPO to stack
Oct 2026
Added Post-training to stack
Oct 2026
Added GRPO to stack
Oct 2026
Added Constitutional AI to stack
Oct 2026
Added Chain-of-Thought to stack
Oct 2026
Added Scrum to stack
Oct 2026
Added Microsoft Project to stack
Oct 2026
Added Agile to stack
Oct 2026
Added Machine Learning to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Bengaluru
Bengaluru
India
HQ
11 open roles 16 posted in 90 days 82% engineering
hires for AI/ML, Mobile, Data Science
Jobs
In office • Full-Time • 4+ years exp • Bengaluru
Python
SQL
SQLAlchemy
FastAPI
Celery
Pydantic
Mypy
Alembic
Databases
PostgreSQL
Redis
pgvector
Apache Kafka
AI/ML
LangGraph
LangChain
Model Context Protocol
LLM
Edge AI
DevOps
Rest API
gRPC
GCP
GitHub Actions
OpenTelemetry
Prometheus
CI/CD
Docker
Kubernetes
Configuration Management
Google GKE
Amazon S3
HPC
QA
Pytest
Apply
≈ $24k – $55k per year (Estimated) • In office • Full-Time • 3+ years exp • Bengaluru
DeepSpeed
vLLM
Fine-tuning
Reinforcement Learning
JAX
Chain-of-Thought
PyTorch
LLM
Ray
DPO
PPO
GRPO
Post-training
Constitutional AI
RLAIF
Reward Modeling
Apply
Apply
In office • Bengaluru
Python
vLLM
SGLang
TensorRT-LLM
TPU
Speculative Decoding
KV Cache
Apply
In office • Full-Time • Bengaluru
Python
Java
Rust
C++
TensorFlow C++
PyTorch C++
AI/ML
Weights & Biases
MLFlow
Vertex AI
JAX
TensorFlow
PyTorch
LLM
Ray
TPU
XLA
DevOps
Terraform
GCP
CI/CD
Kubernetes
Google GKE
Apply
≈ $23k – $53k per year (Estimated) • In office • Full-Time • 3+ years exp • Bengaluru
Python
CUDA Toolkit
JAX
PyTorch
LLM
TensorBoard
Ray
CUDA
Triton
TPU
NCCL
InfiniBand
XLA
DevOps
SLURM
Git
Docker
Kubernetes
HPC
Linux
Apply
In office • Full-Time • Bengaluru
JavaScript
Kotlin
C++
Dart
Swift
Objective-C
Edge AI
LiteRT
Frontend
React.js
Mobile
Flutter
React Native
Firebase
Kotlin Multiplatform
Offline-First
Apply
≈ $14k – $33k per year (Estimated) • In office • Full-Time • 2+ years exp • Bengaluru
Python
FastAPI
Databases
Redis
AI/ML
LangGraph
LangChain
Embeddings
Function Calling
AI Agents
LLM
RAG
Reranking
Structured Outputs
Knowledge Graph
Agentic Workflows
Tool Use
DevOps
Docker
Kubernetes
Apply
≈ $14k – $32k per year (Estimated) • In office • Full-Time • 2+ years exp • Bengaluru
Python
Rust
Beautiful Soup
Dask
AI/ML
Spark
LLM
Ray
Synthetic Data
Hugging Face
NVIDIA NeMo
DevOps
GCP
Analytics
ETL/ELT
Apply






