Pinnacle Search
pinnaclesearch.in
Actively hiring
Consumer Goods
Executive Search
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Growth
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Jobs
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Overview
Top of page About Since our inception, Pinnacle Search has been totally focused on building a strategic, quality search practice.
Tech stack
Technologies named in job postings at Pinnacle Search over the last 12 months, by layer, with the share of postings for each.
Technologies in use
66
Postings analysed
4
Stack modernity
87/100AI adopter
Languages
Python
SQL
JavaScript
Java
Frameworks & libraries
FastAPI
LangGraph
Pydantic AI
React.js
Databases
BigQuery
Google BigQuery
Pinecone
Redis
Cloud & platforms
GCP
Google Cloud Run
Google GKE
Vertex AI
AI & ML
LLM
Claude
Gemini
LoRA
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Full Pinnacle Search tech stack
66 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
53/100
Stable
Open positions
4
4 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
50% ▲
Data Science
25% ▲
Analytics
25% ▲
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
2
Countries
1
Busiest office
Mumbai
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Headquarters
Builds here
Office with open vacancies
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Mumbai
India
Engineering / R&D
Pinnacle SearchOffice No 407Techno IT ParkLink Road, Borivali(W)Mumbai 400092 www.pinnaclesearch.in contact@pinnaclesear
3 open roles 3 posted in 90 days 100% engineering
hires for AI/ML, Data Science, Analytics
Pinnacle SearchOffice No 407Techno IT ParkLink Road,, Borivali(W)Mumbai 400092
Pune
India
1 open roles 1 posted in 90 days 100% engineering
hires for AI/ML
Jobs
≈ $19k – $46k per year (Estimated) • In office • 3+ years exp • Mumbai
Python
JavaScript
Java
FastAPI
Databases
Redis
Pinecone
FAISS
Google BigQuery
BigQuery
AI/ML
LangGraph
LangChain
Vertex AI
Prompt Engineering
Chain-of-Thought
AI Agents
Pydantic AI
LLM
RAG
Agentic Workflows
Multi-Agent Systems
Frontend
React.js
DevOps
Rest API
GCP
CI/CD
Docker
Kubernetes
Google GKE
Google Cloud Run
Chips/EDA
PoC Library
Apply
≈ $11k – $27k per year (Estimated) • In office • 3+ years exp • Mumbai
SQL
Google BigQuery
BigQuery
AI/ML
Vertex AI
Machine Learning
DevOps
GCP
Git
GitHub
GitLab
IAM
Analytics
Tableau
Looker
Management
Service Desk
Apply
≈ $19k – $38k per year (Estimated) • In office • 5+ years exp • Mumbai
Python
SQL
Machine Learning
DevOps
GCP
Azure
Git
AWS
Apply
≈ $21k – $43k per year (Estimated) • In office • 10+ years exp • Pune
Python
JavaScript
SQLAlchemy
FastAPI
Pydantic
Databases
Redis
Chroma
Pinecone
FAISS
Google BigQuery
BigQuery
AI/ML
LangGraph
LangChain
Claude
LoRA
Model Context Protocol
Fine-tuning
Prompt Engineering
Function Calling
Chain-of-Thought
Langfuse
PEFT
Pydantic AI
Mistral
Gemini
LLM
RAG
Google ADK
OpenAI
SFT
A2A
GPT-4
Knowledge Graph
Agentic Workflows
Multi-Agent Systems
Tool Use
Frontend
React.js
Mobile
Dependency Injection
DevOps
Rest API
gRPC
GCP
GitHub Actions
WebSockets
Azure
CI/CD
Jenkins
Docker
Kubernetes
Nginx
Google GKE
Google Cloud Run
QA
Postman
Pytest
Apply