Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials

Overview

Soch Street builds sovereign, domain-specific AI models and developer tooling for regulated, hardware-first industries such as automotive, semiconductor, telecom and defence. Its work includes agentic pipelines for synthetic data generation, and it hires AI research engineers, application engineers and a go-to-market leader. The company is based in Bengaluru, Karnataka, India.

Tech stack

Technologies named in job postings at Soch Street over the last 12 months, by layer, with the share of postings for each.
Technologies in use
19
Postings analysed
3
Stack modernity
62/100AI adopter
Languages
C++
Python
Cloud & platforms
Perplexity
RTOS
Metabase
AI & ML
LLM
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Full Soch Street tech stack 19 technologies · by team · pay by technology · changes · similar stacks

Salary insights

Compensation ranges based on this company's open jobs
Median
$47k
Typical range
$47k
Open positions
1
1 Jobs
Senior 100%
Level Jobs Median Typical range
Senior 1 $47k $47k
Highest paying role Senior Application Engineer $47k
Normalized to USD per year

Growth

Hiring Momentum
38/100
Slowing
Open positions
3
0 opened / 0 closed in 30 days
Hiring Dynamics 0%
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
33% ▲
Sales
33% ▲
Industrial Engineering
33% ▲
Activity Timeline
Added Salesforce to stack Sep 2026
Added Metabase to stack Sep 2026
Added HubSpot 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
3 open roles 3 posted in 90 days 33% engineering $47k Avg Salary
hires for AI/ML, Sales, Industrial Engineering
seen since Sep 2026

Jobs

≈ $23k – $53k per year (Estimated) • In office • 4+ years exp • Bengaluru
Python
C++
Fine-tuning
RLHF
Reinforcement Learning
AI Agents
NLP
LLM
Perplexity
Tokenization
Data Augmentation
Synthetic Data
Pre-training
RLAIF
Reward Modeling
Machine Learning
DevOps
RTOS
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